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Pressure Assisted Thermal Processing:
Tomato Carotenoid Stability during Processing and Storage and Feasibility of Using
Chemical Markers for Evaluating Process Uniformity
Dissertation
Presented in Partial Fulfillment of the Requirements for the Degree Doctor of
Philosophy in the Graduate School of The Ohio State University
By
Rockendra Gupta, M.Tech.
Graduate Program in Food Science and Technology
The Ohio State University
2011
Dissertation committee:
V.M. Balasubramaniam, Advisor
Steven J. Schwartz
Sudhir K. Sastry
John Litchfield
ii
Abstract
Lycopene is a major carotenoid in tomatoes and epidemiological studies suggest
that consumption of food rich in carotenoids lowers the risk of developing certain types
of cancer and chronic diseases. Combined pressure temperature processing has the
potential to reduce the product thermal exposure and helpful in preserving tomato
products with better quality and improved functional properties. However, very little is
known about its fate in tomato products subjected to a range of combined pressure-
temperature (P-T) treatments This study investigated the effect of pressure-thermal
treatments on post processing extractability, isomerization, bioaccessibility and storage
stability of lycopene in tomato juice. In a separate study, the feasibility of using an
intrinsically formed chemical M-2 (4-Hydroxy-5-methyl-3(2H)-furanone) as a potential
marker for understanding combined P-T process non-uniformity was investigated.
Raw and hot break (~93oC, 60 sec) tomato juice from Roma tomatoes was
subjected to combined pressure-temperature (P-T) treatments (high pressure processing
(HPP; 500-700 MPa, 30oC), pressure assisted thermal processing (PATP; 500-700 MPa,
100oC), & thermal processing (TP; 0.1 MPa, 100
oC)) for up to 10 min. Furthermore, hot
break juice from two different tomato cultivars (high and normal lycopene content) was
subjected to HPP (700 MPa, 45 °C, 10 min), PATP (600 MPa, 100 °C, 10 min) & TP
iii
(0.1 MPa, 100°C, 35 min) and its storage stability was evaluated over a 52 week period
at 3 storage temperatures viz. 4, 25 and 37oC.
Combined pressure-thermal (PATP, HPP) treatments resulted in up to 12%
increase in lycopene extractability over TP and unprocessed control juice. In addition, all-
trans lycopene showed stability to isomerization in juice samples subjected to HPP,
PATP and TP. The post processing retention of β-carotene was a function of processing
time, temperature, pressure, cultivar used and type of juice (raw vs. hot break).
During storage, lycopene degradation varied as a function of cultivar, processing
method, storage temperature, and time. Increase in storage temperatures also increased
degradation. Among the stored juices, HPP processed juice showed the least lycopene
degradation. Also, HPP and PATP juice samples better retained lycopene cis isomers and
color during storage. β-carotene showed good stability in the processed samples during
storage. A two-step first order equation was used to predict the changes in lycopene
concentration over the course of storage. The processed juice samples also showed
microbial stability over the course of 52 week storage at 4, 25 and 37oC.
The in-vitro bioaccessibility studies showed that regardless of the processing
conditions, less than 0.5% of the lycopene originally present in the processed juice got
micellarized. When raw juice was processed, the amount of lycopene present in micelles
of raw juice (control), HPP, PATP and TP samples was 25.4±1.8, 27.3±2.2, 27.2±1.6 and
26.7±1.3µg/100g juice, respectively. No significant difference was found between the
amount micellarized between various treatments (p>0.05). Likewise, when hot break
juice was processed, the amount of lycopene in the micelles of hot break juice (control),
iv
HPP, PATP and TP samples was 21.4±0.16, 24.3±0.36, 23.8±0.2 and 26.2±0.22,
respectively. A statistically significant difference was observed in the amount of lycopene
micellarized in control, HPP, PATP and TP samples (p<0.05). All-trans β-carotene
micellarization in the processed juice (HPP, PATP, TP) was significantly higher (p<0.05)
as compared to the raw unprocessed juice (control). The amount of β-carotene present in
micelles of raw juice (control), HPP, PATP and TP samples was 25.2±1.33, 30.0±2.1,
31.0±2.9 and 33.9±1.4µg/100g juice, respectively. Interestingly, hot break juice subjected
to P-T treatments showed 15-30% more all-trans β-carotene micellarization than the raw
juice subjected to similar P-T treatments. The amount of all-trans β-carotene in the
micelles of hot break juice (control), HPP, PATP and TP samples was 35.9±0.92,
37.5±0.41, 36.1±0.33 and 37.9±0.63, respectively.
The formation and stability of chemical marker M-2 was influenced by heat
(which favored the marker formation), pressure (which hindered marker formation) and
pH (higher pH hindered marker formation). The initial concentrations of M-2 in the gels
were 9.17 and 6.10 mg/100g at pH 6.10 and 8.25, respectively. The marker yield during
thermal treatment (at 0.1 MPa, 105oC) increased with increase in holding time (following
a first order kinetics) and decreased with increasing pH. Pressure treatments from 350 to
700 MPa at 30oC reduced the chemical marker formation for both pH values investigated.
The net final concentration of the marker formed during PATP was higher than HPP, but
lower than thermal treatments.
In summary, the present research shows that combined pressure−temperature
treatments could be an attractive approach for preserving tomato juice quality.
vi
Acknowledgements
I wish to express a deep sense of gratitude towards my advisor Dr. V.M.
Balasubramaniam and dissertation committee members Dr. Steven J. Schwartz,
Dr. Sudhir K. Sastry and Dr. John Litchfield. Their incessant support and guidance
has indeed churned the scientific professional in me and enriched my scientific
insight and worldly wisdom. I would also like to thank Dr. David Francis for
supplying the raw material needed for research. Dr. Juming Tang, Galina
Mikhaylenko and Dr. Ram Pandit at the Washington State University deserve a
note of thanks for hosting me and sharing their knowledge. Special thanks to
Rachel E. Kopec who stood by me with her knowledge and insight. I can only
appreciate the efforts of all members of the HPP lab, food industries center (Mike,
Gary, Paul, Jayne), food science faculty, staff (Julie, Tina, April, Kelly, Tony) and
students who directly or indirectly helped in improving my professional and
personal skills. The awesome Ohio State University deserves a round of applause
for its excellent library, scenic surroundings and state-of-the-art infrastructure.
Last but not the least I would like to acknowledge the sacrifices of my parents and
family, without whom I wouldn’t have seen this light.
vii
Vita
2003……………………… B.Tech. Chemical Technology/Food Technology,
Laxminarayan Institute of Technology, Nagpur
University, India
2006…………………....... M.Tech. Food Engineering and Technology,
University Institute of Chemical Technology,
Mumbai University, India
2006 to present………….. Graduate Research Associate, Department of Food
Science and Technology, The Ohio State University
Publications
Gupta, Rockendra, Balasubramaniam, V.M., Schwartz, S.J., and Francis, D.M.
(2010) Storage Stability of Lycopene in Tomato Juice Subjected to Combined
Pressure−Heat Treatments. Journal of Agricultural and Food Chemistry, 58, 8305-
8313.
Nguyen, L.T., Tay, A., Balasubramaniam, V.M., Legan, J.D., Turek, E.J., and
Gupta, Rockendra (2010) Evaluating the impact of thermal and pressure treatment
viii
in preserving textural quality of selected foods. LWT - Food Science and
Technology. 43, 525-534.
Fields of Study
Major Field: Food Science and Technology
ix
Table of Contents
Abstract........................................................................................................... ii
Dedication....................................................................................................... v
Acknowledgements........................................................................................ vi
Vita................................................................................................................. vii
List of Tables.................................................................................................. xi
List of Figures................................................................................................. xii
Chapter 1: Introduction.................................................................................
Chapter 2: Pressure Assisted Thermal Processing of Foods
1
2.1 Introduction............................................................................
2.2 In-Situ Property Measurement Under Pressure......................
2.3 Uniformity of Pressure-Heat Treatment.................................
2.4 Spore Inactivation Kinetics Under Pressure...........................
2.5 Impact of Pressure Assisted Thermal Processing on Quality
2.6 Conclusions............................................................................
References....................................................................................
5
12
21
26
33
39
40
Chapter 3: Combined Pressure-Temperature Effects on Lycopene Stability,
Isomerization and Bio-Accessibility in Tomato Juice
Abstract........................................................................................
3.1 Introduction............................................................................
3.2 Objectives...............................................................................
3.3 Materials and Methods...........................................................
3.4 Results and Discussion...........................................................
3.5 Conclusions............................................................................
References....................................................................................
63
64
66
66
74
85
87
x
Chapter 4: Storage Stability of Lycopene in Tomato Juice Subjected to
Combined Pressure-Heat Treatments
Abstract........................................................................................
4.1 Introduction............................................................................
4.2 Objectives...............................................................................
4.3 Materials and Methods...........................................................
4.4 Results and Discussion...........................................................
4.5 Conclusions............................................................................
References....................................................................................
104
105
107
107
113
121
123
Chapter 5: Combined Pressure-Temperature Effects on the Chemical
Marker (4-Hydroxy, 5-Methyl, 3(2H)-Furanone) Formation in
Whey Protein Gels
Abstract........................................................................................
5.1 Introduction............................................................................
5.2 Objectives...............................................................................
5.3 Materials and Methods...........................................................
5.4 Results and Discussion...........................................................
5.5 Conclusions............................................................................
References....................................................................................
141
142
144
144
150
155
156
Chapter 6: Conclusions................................................................................... 168
Bibliography................................................................................................... 172
Appendix A: Nutrient Content of Tomatoes………………………………...
188
Appendix B: Pressure-Temperature-Time History of Tomato Juice Samples
Processed Using Pressure Assisted Thermal Processing (PATP) and
Thermal Processing (TP)……………………………………….
190
xi
List of Tables
Table
Page
2.1 Properties of water (25oC) at different pressures.........................................
54
2.2 Heat of compression values of selected foods determined at initial sample
temperature of 25oC.....................................................................................
55
3.1 Selected attributes of fresh raw juice and hot break juice obtained from
Roma
tomatoes........................................................................................................
93
3.2 Temperature histories at different stages of high pressure processing
(HPP; 500, 600 and 700 MPa at 30oC) and pressure-assisted thermal
processing (500, 600 and 700 MPa at 100oC) of tomato juice
samples.........................................................................................................
94
3.3 Percent lycopene and β-carotene from tomato juice transferred to the
digesta and micelles during in-vitro bio-accessibility studies......................
95
4.1 Selected attributes of raw tomato flesh and the hot break tomato juice
used in the study...........................................................................................
128
4.2 Reaction rate constants and correlation coefficients of lycopene
degradation in high lycopene (FG99-218) and OX325 tomato juice
treated using HPP, PATP, and thermal sterilization.....................................
129
5.1 Temperature histories at different stages of processing during high
pressure processing (HPP; 350 and 700 MPa at 30oC) and pressure-
assisted thermal processing (PATP; 350 and 700 MPa at 105oC) of whey
protein gel samples.......................................................................................
161
5.2 Rate constants of marker M-2 formation/inhibition/degradation under
different processing conditions at gel pH 6.10 and pH 8.25........................
162
5.3 Influence of various independent variables (pressure, temperature, time,
and pH) and their interactions on chemical marker M-2 formation in
whey protein gels containing 1% ribose.......................................................
163
xii
List of figures
Figure
Page
2.1 A typical pressure-temperature profile of a food sample during
preheating, compression and holding time for combined pressure-
temperature processing (PATP). t1, t3, t4, and t5 are the preheating,
compression, come-up time and holding time, respectively.......................
57
2.2 Heat of compression values of water (experimental - dashed lines) vs.
predicted (continuous lines using NIST/ASME software) at different
initial temperatures......................................................................................
58
2.3 Change in thermal conductivity of selected foods as a function of
pressure........................................................................................................
59
2.4 Temperature and velocity distributions at 136, 182, 500 and 820 s (left to
right) for process with 500 MPa final pressure. At 136 s, forced
convection dominates, at 182 s, the holding phase begins, the flow field
reorganizes and temperature has reached its maximum. Later,
temperature goes down and fluid motion is attenuated...............................
60
2.5 Temperature distribution generated from CFD model (100 MPa) at the
end of each stage: (a) pre-loading (stage 1), (b) pressure build-up or
compression (stage 2), and (c) pressure holding (stage 3)..........................
61
2.6 Microstructures of (A) control, (B) pressure treated (700 MPa, 25oC, 5
min.), (C) pressure assisted thermal processed (700 MPa, 105oC, 5 min.)
and (D) thermally processed (105 0C, 0.1 MPa, 30 min) carrot samples....
62
3.1 Flowchart outlining the steps involved in the experiment..........................
96
3.2 Lycopene retention (▒) all-trans lycopene, (▓) cis lycopene) in fresh raw
tomato juice subjected to (a) high pressure processing (500-700 MPa,
30oC for 0, 3, 5 and 10 min) (b) pressure assisted thermal processing
(500-700 MPa, 100oC for 0, 3, 5 and 10 min) and thermal processing (0.1
MPa, 100oC for 0, 3, 5 and 10 min). Values are mean ± SD of 3
replicates......................................................................................................
97
xiii
3.3 Lycopene retention (▒) all-trans lycopene, (▓) cis lycopene) in hot break
tomato juice subjected to combined pressure-temperature processing;
HPP (500-700 MPa, 30oC for 0, 3, 5 and 10 min), PATP (500-700 MPa,
100oC for 0, 3, 5 and 10 min) and TP (0.1 MPa, 100
oC for 0, 3, 5 and 10
min). Values are mean ± SD of 3 replicates...............................................
99
3.4 Percent all-trans β-carotene retention in raw (a) and hot break (b) tomato
juice after combined pressure-heat processing; HPP (500-700 MPa, 30oC
for 0, 3, 5 and 10 min), PATP (500-700 MPa, 100oC for 0, 3, 5 and 10
min) and TP (0.1 MPa, 100oC for 0, 3, 5 and 10 min). Values are
represented as mean ± SD of 3 replicates....................................................
100
3.5 Representative light microscopic images (using 100 X oil immersion
objectives) of raw tomato juice samples processed using combined
pressure-temperature treatments; HPP (500-700 MPa, 30oC for 0, 3, 5
and 10 min), PATP (500-700 MPa, 100oC for 0, 3, 5 and 10 min) and TP
(0.1 MPa, 100oC for 0, 3, 5 and 10 min).....................................................
102
3.6 Representative electron microscopic images of hot break tomato juice
samples processed using combined P-T treatments; HPP (500-700 MPa,
30oC for 0, 3, 5 and 10 min), PATP (500-700 MPa, 100
oC for 0, 3, 5 and
10 min) & TP (0.1 MPa, 100oC for 0, 3, 5 and 10 min)..............................
103
4.1 HPLC chromatogram of lycopene isomers obtained by adding iodine
catalyst in hexane at a concentration of about 1% (w/w) of the lycopene
weight and allowing the mixture to sit for 15 min in fluorescent light of
luminance 320 lux (lumens/m2)..................................................................
130
4.2 All-trans (a) and cis (b) lycopene concentrations in high lycopene
(FG99-218) tomato juice processed using HPP (700 MPa, 45oC, 10 min),
thermal sterilization (0.1 MPa, 100oC, 35 min) PATP (600 MPa, 100
oC,
10 min) and stored in dark at different storage temperatures for
0,2,5,15,35 and 52 weeks. Untreated control had 14.65±0.66 mg all-trans
lycopene/100 g juice and 1.4±0.01 mg cis lycopene/100 g juice................
131
4.3 All-trans (a) and cis (b) lycopene concentrations in OX325 tomato juice
processed using HPP (700 MPa, 45oC, 10 min), thermal sterilization (0.1
MPa, 100oC, 35 min) PATP (600 MPa, 100
oC, 10 min) and stored in
dark at different storage temperatures for 0,2,5,15,35 and 52 weeks.
Untreated control had 8.84±0.22 mg all-trans lycopene/100 g tomato
juice and 1.38±0.01 mg cis lycopene/100 g juice........................................
133
xiv
4.4 Differential Color values (ΔE) of high lycopene (FG99-218) tomato juice
processed using HPP (700 MPa, 45 °C, 10 min), TP (0.1 MPa, 100 °C,
35 min), PATP (600 MPa, 100 °C, 10 min) and stored in dark at 4,25 and
37 °C for 0, 2, 5, 15, 35, and 52 weeks........................................................
135
4.5 Differential Color values (ΔE) of OX325 tomato juice processed using
HPP (700 MPa, 45 °C, 10 min), TP (0.1 MPa, 100 °C, 35 min), PATP
(600 MPa, 100 °C, 10 min) and stored in dark at 4,25 and 37 °C for 0, 2,
5, 15, 35, and 52 weeks...............................................................................
137
4.6 Representative experimental vs. predicted values of lycopene
concentration in tomato juice (FG99-218) processed using combined
pressure-temperature treatments and stored at various temperatures..........
▔ 700 MPa, 45 °C, 10 min. treatment followed by 4 °C storage
(---) predicted
▲ 0.1 MPa, 100 °C, 35 min. treatment followed by storage at 25 °C
(---) predicted
♦ 600 MPa, 100 °C, 10 min. treatment followed by storage at 37 °C
(---) predicted
139
4.7 Flowchart outlining the steps involved in the experiment.......................... 140
5.1 HPLC Chromatogram of chemical marker M-2 (4-Hydroxy-5-methyl-
3(2H)-furanone) extracted at 285 nm..........................................................
164
5.2 Formation and/or inhibition of M-2 marker in whey protein gel samples
(pH = 6.10) containing 1g ribose/100g gel mix subjected to various
temperatures (30 and 105oC), pressures (350 and 700 MPa) and
treatment times (up to 20 min)....................................................................
165
5.3 Formation and/or inhibition of M-2 marker in whey protein gel samples
(pH = 8.25) containing 1g ribose/100g gel mix subjected to various
temperatures (30 and 105oC), pressures (350 and 700 MPa) and
treatment times (up to 20 min)....................................................................
166
5.4 Flowchart outlining the experimental design.............................................. 167
1
CHAPTER 1: INTRODUCTION
Tomato is one of the most widely consumed food commodity across the world.
Due to its short shelf life, it is processed into several different end products which include
tomato juice, tomato paste, tomato ketchup, diced tomatoes in brine, etc. In the past
decade research on tomato products has attracted a lot of attention due to the presence of
lycopene in tomatoes. Dietary intake of lycopene (80% of which is contributed by tomato
and tomato products) has been proposed to be inversely related to the risk of certain types
of cancer or chronic diseases. However, lycopene (C40H56) with 11 conjugated double
bonds is particularly susceptible to oxidative degradation and/or isomerization upon
exposure to light, oxygen, elevated temperatures, extremes in pH and active surfaces.
Thermal processing is primarily used in the processing of tomatoes, which usually
involves canning the tomatoes and holding them in boiling water for an extended period
of time to achieve shelf stability. Low bioaccessibility of lycopene, phase separation and
watery consistency of the products such as tomato juice are the major challenges faced by
the tomato processing industry. Thus, the quest for improved quality and functionality
has led to the emergence of new technologies such as combined pressure-thermal
application for food preservation. Depending upon the treatment intensity combined
pressure-thermal treatment can provide pasteurization (high pressure processing) or
sterilization (pressure-assisted thermal sterilization) effects. Combined pressure
temperature processing minimizes the application of heat energy for food preservation
2
and attempts are being made to understand its effects on tomatoes and produce better
quality products with improved functional properties.
Although a lot of research has been done on the behavior of lycopene in thermally
processed tomato products, very limited knowledge exists on the effects of combined
pressure-temperature processing on the retention and stability of lycopene. Also,
combined P-T effects on lycopene bioaccessibility and its long term storage stability are
unknown. Thus, a comprehensive study to understand these important factors shall help
in assessing the benefits of HPP and PATP in producing high quality tomato products for
the consumer.
PATP involves the combined application of pressure (500-700 MPa) and heat
(90-121oC) over a specified holding time. Unlike high pressure processing (HPP) (<600
MPa at ambient or chilled temperature), which aims at destroying vegetative pathogenic
and spoilage microorganisms, PATP targets bacterial spores. During PATP and HPP,
rapid and uniform compression heating during pressurization and rapid cooling during
depressurization help in minimizing the thermal effects on the quality (color, texture,
flavor) of foods. It is now well established fact this heat of compression is an important
thermo-physical effect in foods exposed to high pressures. However, differences in the
thermo-physical properties between components of non-homogenous foods and between
the food and pressure transmitting fluid (PTF) give rise to temperature-pressure (T-P)
non-uniformities. Due to the lack of effective means to monitor and record real time T-P
changes under high pressure, there is a need to develop suitable method and/or
instrumentation that can map such non-uniformities and locate the cold spot.
3
Chemical markers such as furanone (that are intrinsically formed in foods at
elevated process temperatures) have been successfully used as indirect indicators of
heating patterns in advanced thermal processes such as aseptic processing, microwave
sterilization and ohmic heating. However, very limited information is available on
stability of these chemical markers during combined pressure-heat treatment. Hence, a
study on the effect of combined P-T on such intrinsically formed markers shall help in
evaluating the feasibility of their use to study pressure-temperature non-uniformities
during PATP.
Thus, the primary objective of this dissertation research was to determine the
effect of combined pressure-temperature processing on carotenoids in tomato juice and to
assess the feasibility of using a novel chemical marker M-2 as a tool to evaluate pressure-
temperature uniformity. The central hypothesis was that elevated pressures in
combination with thermal effects shall change the retention and stability of carotenoids.
Also, intrinsically formed chemical markers such as M-2, which have been successfully
employed to map temperature uniformities in thermal processes, might show similar
feasibility of use under combined P-T conditions.
The specific objectives of this dissertation were:
1. To investigate the pressure-thermal effects on post processing extractability,
isomerization and bioaccessibility of lycopene in tomato juice and to microscopically
study the changes caused by such treatments.
4
2. To study the storage stability of lycopene in tomato juice (from high and normal
lycopene tomato cultivars) processed using TP, PATP and HPP and stored up to 52
weeks at 4, 25 and 37 °C.
3. To evaluate the feasibility of applying novel chemical marker M-2 (4-Hydroxy-5-
methyl-3(2H)-furanone) for studying temperature non uniformities during PATP.
5
CHAPTER 2: PRESSURE ASSISTED THERMAL PROCESSING OF
FOODS
2.1 Introduction
Pressure assisted thermal processing (PATP) of foods involves the combined
application of pressure (500-700 MPa) and heat (90-121oC) over a specified holding
time. While high pressure processing (< 600 MPa at or near ambient temperature) aims at
destroying vegetative pathogenic and spoilage microorganisms, PATP targets bacterial
spores (Balasubramaniam and Farkas, 2008; de Heij et al., 2003). Interest in the
production of PATP processed low acid products such as soups, tea, egg products,
mashed potatoes, selected vegetables and fruits is a topic of current research and the
results have been promising (Balasubramaniam and Farkas, 2008; Nguyen et al., 2007;
Juliano et al., 2006)
Rapid and uniform compression heating during pressurization and rapid cooling
during depressurization helps in minimizing the detrimental thermal effects on the quality
(color, texture, flavor) of foods as experienced in the case of conventional thermal
sterilization. PATP also reportedly reduces the thermal impact on food quality (Rastogi et
al., 2008; Nguyen et al., 2007; Hoogland et al., 2001; Juliano et al., 2006). With increased
interest in PATP for preservation of high-quality, shelf-stable, low-acid foods (Nguyen et
6
al., 2007; Balasubramaniam and Farkas, 2008), the technology poses an attractive
opportunity to the food processors for processing heat sensitive, value-added foods with
fewer additives and cleaner ingredient labels. In addition, the possibilities of combining
PATP with other emerging technologies such as ohmic heating, pulsed electric field
processing (PEF), etc. also exists and could further the development of minimally
processed low-acid foods.
2.1.1 Basic PATP principles
During PATP, both the process pressure and temperature can influence various
reactions. Depending upon the type of reaction, the combined pressure-heat application
may be synergistic, additive or antagonistic. Application of pressure is governed by the
two basic principles viz. the Le Chatelier’s principle and the iso-static principle. The Le
Chatelier’s principle states that any phenomenon such as phase change, change in
molecular configuration, chemical reaction, etc. that is accompanied by a decrease in
volume is enhanced by pressure and vice versa (Farkas and Hoover, 2000). The iso-static
principle states that pressure is transmitted in a uniform and quasi instantaneous manner
throughout the whole sample, thus making the process independent of volume and
geometry of the product. It has been generally accepted that although iso-static principle
is assumed to be true in many high pressure food processing applications, deviations are
possible for heterogeneous large samples systems. Once the desired pressure is reached, it
can be maintained for an extended period of time without any further energy input
(Balasubramaniam, 2003). Unlike high pressure homogenization where the food is
exposed to high velocity, turbulence and shear forces, during PATP, the food is subjected
to isostatic pressure treatment. However, foods such as marshmallows, strawberry, that
7
contain large air packets, due to difference in compressibility of air and rest of the food,
pressure treatment deform them.
2.1.2 Typical processing steps involved in PATP of foods
During PATP, food is preferably vacuum packaged in a flexible, high barrier
package. At least one interface of the package should be flexible enough to transfer
pressure to the packaged food (Rastogi et al., 2007). Then the prepackaged food material
along with the pressure transmitting fluid is preheated to certain initial temperature (refer
section 2.1.1 on choosing initial temperature) in a sample basket. Subsequently the
sample basket is loaded inside a pressure vessel. The pressure vessel was also preheated
to certain temperature to minimize heat loss from the product to the surrounding through
the walls of the pressure chamber. The remainder volume of the pressure chamber is also
filled with pre-heated pressure transmitting fluid. Samples are processed at specified
pressure-heat combinations for certain holding time. Once processed, the food is
removed from the pressure chamber, and cooled immediately to minimize over
processing (Balasubramaniam and Farkas, 2008).
2.1.3 Pressure-temperature response during processing
A typical pressure-temperature response of the sample during PATP is shown in
Figure 2.1. During PATP, the food material is pressurized from atmospheric pressure
(P1) to a target pressure (P2). The time interval between P1and P2 represents the pressure
come up time. Typical commercial equipment may have pressure come-up time of
approximately 2 min to reach 600 MPa. Once the target pressure is reached, the samples
are processed for desired holding time. For economical justification and to minimize
8
thermal effects on product quality, pressure holding times of less than 10 minutes may be
desired. After processing, the samples are depressurized back to atmospheric pressure
(P4). Most of the commercial scale high pressure equipment have short (<30 sec)
decompression times.
Due to compression under pressure, the temperature of a food material increases
(Ting et al., 2002). The magnitude of this temperature change (Figure 2.1, T3-T4’)
depends on the compressibility of the substance, its thermal properties, initial
temperature, and target pressure. The maximum product temperature at the target process
pressure is independent of the rate of compression as long as heat transfer to the
surroundings is negligible. During depressurization (T6) the temperature may drop below
the initial temperature if heat is lost from the sample to the environment during pressure
holding.
2.1.4 Packaging
A variety of flexible, high barrier packaging materials may be used to contain
samples of high-pressure processing. The volume, geometry and composition (polymer
type and composition, film thickness, sealing properties and barrier properties) of the
packaging material are important considerations for selection as packaging material in
high pressure processing (Balasubramaniam et al., 2004). At least one interface of the
package should be flexible enough to transmit pressure. Thus, rigid metal containers may
not survive the pressure treatment (Rastogi et al., 2007). Presence of head space air,
particularly oxygen, can adversely affect product quality at elevated pressure-temperature
conditions. Further, air has different compressibility than water and more effort needs to
9
be made to compress the air. Thus, it would be desirable to minimize the presence of
headspace air in the packages or preferably vacuum package the product.
Various authors studied the influence of pressure treatment on packaging material
(Yoo et al., 2009; Schauwecker et al., 2002; Caner et al., 2004; Halim et al., 2009;
Fairclough and Conti, 2009; Galotto et al., 2009; Galotto et al., 2008, Koutchma et al.,
2009).
X- ray diffraction of low density polyethylene (LDPE) films exposed to pressures
from 200-800 MPa (10 min at 25 and 75oC) showed significant increases in crystallinity
with increases in pressure. While post treatment oxygen transmission rates were found to
be progressively lower with increasing pressure treatments, the melting temperature of
LDPE was found to increase with increasing pressure. However, no significant effect of
temperature and holding time was observed on either crystallinity or the melting
temperature (Yoo et al., 2009). In another study, Caner et al. (2004) used D-limonene as
the sorbate in ethanol and acetic acid solutions to test the sorption behavior of monolayer
polypropylene, multilayer polymer film and a metalized polymeric film under high
pressure conditions. Treatments at 800 MPa, 60oC for 10 min showed that type of
material, acidity and temperature had a significant effect on the sorption behavior of
packaging materials.
Schauwecker et al. (2002) studied propylene glycol (PG) migration in different
pouches under various pressure temperature conditions and observed that
polyester/nylon/aluminium/polypropylene meal ready-to-eat (MRE) type pouches treated
at 400, 600 and 827 MPa at 30, 50 and 75oC did not show detectable PG migration.
10
However, PG migration in EVOH/PE-EVOH pouches was found to decrease
significantly in pressure treated pouches (400, 600 and 827 MPa at 30, 50 and 75oC for
10 min) as compared to those treated at different temperatures (30, 50 and 75oC) for 10
min under atmospheric pressure (0.1 MPa). Pouch structures having plastic-metallic
interface as used in meal-ready-to-eat (MRE) pouches processed at elevated pressures
(≥200 MPa) and 90oC for 10 min showed signs of delamination between PP and Al
layers.
High pressure treatments (400, 800 MPa and 40, 75oC for 5 and 10 min) and
thermal sterilization at 120oC on EVOH-based packaging materials showed that high
pressure treatments do not cause crystallinity disruption of EVOH copolymers otherwise
observed in sterilization treatment at 120oC (Lopez-Rubio et al., 2005). The oxygen
barrier properties of pressure treated pouches were reported as comparable to the
untreated pouches, whereas thermally sterilized pouches showed increased oxygen
permeability. This research, however, did not investigate the combined pressure and
temperature (>100 0C) effect on the barrier properties of EVOH based packaging
materials.
Koutchma et al. (2009) studied the impact of using different packaging materials
on the rate of heat penetration into foods during preheating. Also, the effects of
preheating and HP sterilization (PATP) (688 MPa, 121oC) on package integrity, oxygen
permeability and mechanical properties for commercially available packaging materials
were studied. Four plastic-laminated materials (nylon/coextruded ethylene-vinyl alcohol,
nylon/polypropylene [PP], polyethylene terephthalate [PET]/aluminum oxide/casted PP
[CPP] and PET/polyethylene) and two aluminum foil-laminated pouches (PET/aluminum
11
[Al]/CPP and nylon/Al/PP) were used in the study. It was found that the foil-laminated
packaging had higher rate of heat transfer during preheating as compared to the thinner
polymeric materials. PATP showed increase in seal strength of foil-laminated pouches.
However, PATP altered the oxygen barrier of the composite packaging materials and it
was reported that the increase in permeability observed during PATP was due to thermal
damage due to preheating. TR processing increased oxygen permeability to a higher
extent than HP-HT processing (Koutchma et al., 2009).
More research is needed on the effect of elevated pressure-heat treatments on
different packaging materials. The changes in barrier properties of PATP packages during
extended storage are also worth investigating.
2.1.5 Pressure transmitting fluid
Pressure transmitting fluids are used to transmit the pressure to the food sample.
Water, food-grade propylene glycol-water solutions, silicone oil, sodium benzoate
solutions, ethanol solutions and castor oil are some of the commonly used pressure
transmitting fluids (Balasubramanian and Balasubramaniam, 2003). Choice of pressure
transmitting fluids is in part dependent on their ability to seal under pressure, corrosion
prevention properties, fluid viscosity changes under pressure, and heat of compression.
The composition of the pressure transmitting fluid, its thermal characteristics and ratio of
fluid to sample play an important role in governing the thermal behavior of foods under
pressure. The importance of considering the compression heating behavior of pressure-
transmitting fluid on microbial inactivation kinetics has been discussed in some studies
(Balasubramanian and Balasubramaniam, 2003; de Heij et al., 2003; Matser et al., 2004;
12
Robertson et al., 2008; Otero and Sanz, 2003). Whereas difference in compressibility and
heat of compression of the pressure transmitting fluid might result in heat transfer
between the food sample and the fluid and influence the rate of heat loss to the
surroundings, the thermal conductivity and thermal diffusivity of pressure transmitting
fluid may affect the inactivation kinetics of bacterial spores (Balasubramanian and
Balasubramaniam, 2003).
2.2 In-situ property measurement under pressure
High pressure influences both the thermal and physico-chemical properties of
food. Water is the major constituent present in most of the foods along with a complex
mixture of proteins, carbohydrates, fats, minerals, vitamins, and salts. Properties of water
under pressure are well documented after the pioneering work of Bridgman (Bridgman,
1912). Table 2.1 summarizes the data on thermal and physical properties of water
obtained from the NIST database (Harvey et al., 1996). With the exception of water, very
limited data is available on the influence of pressure on various food constituents. There
exists a unique but highly complex interaction between food constituents and availability
of free water varies from food to food.
The thermal exchange between the food, pressure transmitting fluid and the
environment through the walls of the pressure chamber can influence the uniformity of
PATP. This heat exchange can be further governed by the thermo-physical properties of
food, packaging material and the pressure transmitting fluid. Specifically the following
properties are important
Heat of compression
Thermal conductivity
13
Specific heat
Density
Thermo-fluid dynamics during combined pressure-heat treatment are influenced by the
thermo-physical and physico-chemical properties of the pressure transmitting fluid and
the food sample (Baars et al., 2007). Combined pressure-heat influence on selected
properties is discussed in the following sections.
2.2.1 Heat of compression
Although, it is assumed that pressurization would create uniform pressure and
temperature distribution within the pressure vessel, it is difficult to achieve in practice
(Denys et al., 2000; Hartmann and Delgado, 2005). Also, modeling and evaluating the
process uniformity during PATP requires reliable data for pressure-temperature
dependence on density, specific heat capacity, thermal conductivity, thermal expansion
coefficient and viscosity (Barbosa-Cánovas and Rodriguez, 2005; Min et al., 2010).
During PATP, the food material undergoes physical compression. For example,
volume of one-liter water may be reduced to 0.85 liter while under 600 MPa pressure
(~15% reduction). This physical compression also increases the temperature of the
product and this is an unavoidable thermodynamic effect (Ting, et al., 2002). The
reversible adiabatic temperature change of compression can be expressed using the
following equation proposed by Zemansky (1957):
……………………………………………………………………………………………….(1)
From the above equation it follows that the change in temperature as a result of physical
compression depends on the thermal expansivity of the substance (α), temperature (T),
14
specific volume (V), and specific heat capacity (Cp).Experimentally determined heat of
compression data of selected foods is given in Table 2.2. Water and high moisture
content foods were found to exhibit the lowest heat of compression value i.e. 3oC/100
MPa whereas fats and oils show the highest heat of compression values of 6-9oC/100
MPa (Rasanayagam et al., 2003).
From Table 2.2, it can be inferred that heat of compression of high moisture
content foods can be substantially different from non-polar compounds such as fats and
oil. While the temperature of the polar compounds such as water readily follow the
pressure curve, the temperature response of non-polar substances such as fats and oil
exhibits a time lag of up to 30 seconds to reach the maximum temperature during the
pressure holding time (Rasanayagam et al., 2003). This could be attributed to the phase
change of sample under pressure (Otero et al., 2000). For polar compounds, the
temperature increase of the sample also depends on its initial temperature, while fats and
oil, the heat of compression is fairly constant and do not depend on the initial
temperature.
2.2.1.1 Heat of compression as influenced by chemical composition
The compressibility of a substance depends on its phase and gases show highest
compression values which are drastically reduced for liquids and are further lower for
solids (Ramaswamy et al., 2005). Compression of a material decreases the average
intermolecular distance between adjacent molecules. Compressibility, thus, is an intrinsic
property of a material. A liquid contains molecules that occupy space in excess of that
needed for closed packing. It is this free volume that is decreased during compression.
15
Due to decrease in compressible volume with increase in pressure, the compressibility of
a liquid significantly decreases at elevated pressures. Material compressibility can be
estimated at constant temperature (isothermal compressibility) or constant entropy
(adiabatic compressibility) (Rasanayagam et al., 2003). Heat is generated within the
material due to work of compression against intermolecular forces. Since food is a
complex mixture of water, proteins, carbohydrates and fats, each of which has different
compressibility and specific heat capacity and thus different heat of compression values;
high pressure treatment of a food can induce non-uniform temperature distribution across
the food. This non-uniformity of temperature distribution in the food might impact
microbial and enzyme inactivation. Difference in the heat of compression values of the
pressure transmitting fluid would also contribute to this time-temperature- pressure non-
uniformity across the high pressure vessel. An interesting example of differences in
temperature profile during pressurization due to differences in chemical nature is high
pressure treatment of water and oil. Whereas water exhibits a square wave type
temperature profile by reaching its final process temperature as soon as it is pressurized,
fats and oils exhibit longer time of the order of 30 seconds to reach the maximum
temperature at the same value of applied pressure (Rasanayagam et al., 2003; Patazca et
al., 2007). Temperature delays during expansion have also been reported (Otero et al.,
2000). These phenomena may be attributed to differences in respective molecular
structure and phase transition characteristics (Otero et al., 2000; Rasanayagam et al.,
2003). Accordingly, unsaturated fatty acids show higher compression heating than
saturated fatty acids and water. Since the water molecules are small and polar and more
closely packed than the fat molecules by virtue of hydrogen bonds, they exhibit lower
16
compressibility values. Similarly, saturated long chain fats are more closely packed than
unsaturated long chain fats and less closely packed than water. Hence, they exhibit
compressibility values that are more than that of water but less than the unsaturated long
chain fats which exhibit the highest compressibility values (Rasanayagam et al., 2003).
Organic compounds such as propylene glycol and ethanol contain hydroxyl functional
groups and can form hydrogen bonds between molecules. This might influence their
thermal behavior under pressure. Propylene glycol shows heat of compression values
between water and oil, whereas ethanol shows high heat of compression values with
strong dependency on pressure (Rasanayagam et al., 2003). It should also be noted that
heat of compression values might increase with increase in the initial temperature values
as is discussed in the later sections. Since food is a complex system with numerous
interactions amongst proteins, carbohydrates, fats, vitamins, minerals and water, the
combined effect of initial sample temperature and process pressure will have significant
influence on the heat of compression of the food (Patazca et al., 2007).
While increasing the initial temperature of the high moisture foods increases the heat
of compression values (Figure 2.2), the initial temperature does not influence the heat of
compression values for fats and oils (Rasanayagam et al., 2003; Ramaswamy et al., 2005;
Patazca et al., 2007). The heat of compression values for water show strong dependence
on initial temperature (Figure 2.2) and increase with increase in the initial temperature of
water. On the contrary, heat of compression values of fats and oils showed only slight
dependency with increases in initial temperature. However, foods such as cream cheese
and honey show a complex interdependence of initial temperature and pressure.
17
With the knowledge of compression heating factors (CHm) of various food
constituents of mass fraction (Mf), the apparent temperature of the sample of mass M at
the end of the come up time can be estimated using the mixture rule given below
(Ramaswamy et al., 2005; Nguyen et al., 2007):
𝑇𝑓 = 𝑇𝑖 +( (𝐶𝐻𝑚 ∗𝑀𝑓 )𝑖
𝑀 ∆𝑃
100 + ∆𝑇H …………………………………………………….(2)
Here, Ti – is the initial sample temperature and
ΔTH – is the change in temperature of the sample due to heat gained or lost between the
test sample and the surroundings during the entire processing operation.
2.2.2 Thermal conductivity
Thermal conductivity of food materials under pressure increases as a function of
pressure, food composition and process temperature (Ramaswamy et al., 2007; Denys
and Hendrickx, 1999; Shariaty-Niassar et al., 2000). Denys and Hendrickx (1999)
determined the thermal conductivity of tomato paste and apple pulp up to 400 MPa
pressures using unsteady state method employing line heat source probe containing a K
type thermocouple. They found that the values of thermal conductivity at the studied
temperatures (30 and 65oC) for tomato paste and apple pulp were independent of the
applied pressure and were higher at higher temperature. Shariaty-Niassar et al. (2000)
reported an increase in the thermal conductivity of foods with increase in pressure and
found that thermal conductivity is also influenced by the amount of moisture present in
the food. The pressure dependency of thermal conductivity was higher at lower moisture
18
contents than at higher moisture contents possibly due to less amount of incompressible
water present in the food (Ramaswamy et al., 2005).
Ramaswamy et al. (2007) studied the thermal conductivity of apple juice, canola
oil, clarified butter, honey and high fructose corn syrup at pressures ranging from 0.1
MPa to 700 MPa at 25oC and found that that k of materials tested increases linearly with
increasing pressures up to 700 MPa. Whereas water and water like substances (apple
juice) were found to have the highest value of k (up to 0.82 W/mK at 700 MPa), fatty
foods such as canola oil and clarified butter had the lowest (0.29 to 0.4 W/m˚C
respectively at 700 MPa) values. Honey and high fructose corn syrup (HFCS) had
intermediate values (Figure 2.3).
This increase of thermal conductivity of foods under pressure could be explained
on the basis of their polarity and compressibility. Among the products tested, non-polar
clarified butter showed the highest increase (106%) in k under pressure and water showed
the lowest increase (35%). Polar materials have lower compressibility than non-polar
materials and their k values under pressure changed to a lesser extent (Bridgman, 1923).
Werner et al. (2008) studied plant oils under high pressure (400 MPa, 10-60oC) and found
an increase in thermal conductivity under pressure. The pressure and temperature
dependency of thermal conductivity was found to be linked with the coefficient of
isothermal compressibility and isobaric thermal expansion coefficient, respectively.
2.2.3 Specific heat
Since thermal effects in PATP are significantly larger than HPP, knowledge of
specific heat values under combined pressure-temperature conditions will help in
19
evaluating the thermal effects and model the heat transfer under pressure. In the absence
of experimental data on specific heat of food materials under pressure many earlier
authors assumed that specific heat of food materials remains unchanged (Hartmann and
Delgado, 2005). Hartmann and Delgado (2005) investigated in the heat and mass transfer
effects on the uniformity of high pressure induced inactivation of E. coli suspended in
UHT-milk. For this purpose the specific heat of milk under pressure was assumed to be
constant (and used specific values of the food materials estimated at atmospheric
pressure). Barbosa (2003) measured in-situ sound velocity under high pressure and
correlated the ultrasonic data with thermophysical properties at atmospheric pressure to
compute specific heat capacity as a function of pressure and temperature. 2.5. 10 and
50% (w/v) sugar solutions, 1, 5 and 10% (w/v) organic acid solutions, combination of
simple carbohydrates and organic acid solutions and pulp free orange juice were selected
for the study. Zhu et al. (2007) applied the dual-needle line-heat-source method to
estimate the thermal conductivity, thermal diffusivity and volumetric heat capacity of
fresh potato and cheddar cheese from 0.1 to 350 MPa at 5oC. Changes in volumetric heat
capacity under pressure did not show a clear pressure dependency (Zhu et al., 2007). It is
further interesting to note that high pressure decreases the specific heat capacity of water
by about 10% than those estimated at ambient pressures (Ramaswamy et al., 2005). For
example, the specific heat of water decreases from 4.18 at 0.1 MPa to 3.79 kJ/kg K at 500
MPa (Table 2.1). More research is needed to estimate the specific heat of various food
materials as a function of pressure and heat.
20
2.2.4 Density
As a product is compressed under high pressure, its volume decreases and density
increases. Estimation of density under pressure involves the estimation of sample volume
under process pressure. The change in volume is measured by converting it into linear
expansion through the use of a Bellows, which is subsequently measured using an LVDT
(Linear Variable Differential Transformer) (Bridgman, 1931; Chang and Moldover,
1996). Frictional losses during displacement need to be considered when estimating
volume change using LVDT. Pressure dependent acoustic methods have also been used
to calculate density changes (Kovarskii, 1994). Estimation of the density of apple sauce
and tomato paste using bulk volume displacement method has been reported by Denys et
al. (2000). Min et al. (2010) employed a piezometer with movable copper piston at one
end to determine density changes in various foods. The movement of piston under
pressure caused impedance change in the coil wound around the piezometer. This change
in impedance was calibrated against known volume changes in water exposed to high
pressures. It was found that the density of sucrose solutions (2.5-50%), soy protein
solutions (2.5-10%), soybean oil, chicken fat, clarified butter, chicken breast, ham,
cheddar cheese, carrot, guacamole, apple juice and honey increased as the process
pressure was increased. However, with increasing pressure, the rate of increase in density
of these samples was found to decrease.
2.2.5 pH
High pressure is believed to cause ionic dissociation of water molecules with a
corresponding decrease in pH (Cheftel, 1995; Hoover et al., 1989). Studies conducted by
21
Heremans (1995) indicate a lowering of pH in apple juice by 0.2 units per 100 MPa
increase in pressure. pH plays an important role in phenomenon such as gelation, enzyme
activity, protein denaturation and microbial inactivation kinetics and most
microorganisms show increased susceptibility and inability to recover from sub-lethal
injuries at low pH values (Hoover et al., 1989). At this time reliable instruments for
measurement of pH under pressure are not readily available. More research is needed to
characterize transient pH shift under combined pressure-heat treatment as a function of
various food composition.
2.3 Uniformity of pressure-heat treatment
Variations in both temperature and pressure can contribute to the development of
non-uniformity within a processed volume during PATP experiment. Though, for
practical purpose, pressure treatment assumed to be transmitted uniformly and quasi
instantaneously throughout the sample volume, pressure non-uniformity may exists in
heterogeneous large samples (Minerich and Labuza, 2003). Authors reported that
pressure at the geometric center of a large food such as ham is approximately 9 MPa less
than 600 MPa delivered by the process system.
While many food materials have heat of compression value about 4-6oC/100 MPa
at target pressure-temperature conditions, walls of the pressure vessel have negligible
(~0oC / 100 MPa) heat of compression. As a result, product fraction near the vessel wall
cools down and does not reach the same temperature as that at its center (de Heij et al.,
2002; Ting et al., 2002). Transient temperature exchange occurs between the food,
packaging material, pressure transmitting fluid and the walls of the pressure chamber
likely occur.Also, if the pressure vessel is not properly insulated, the vessel would tend to
22
lose heat to the surroundings thereby resulting in loss of product temperature. Hence, it is
necessary to keep the vessel temperature at or near the desired final product temperature
under process pressure and provide suitable lagging to prevent loss of heat to the
surroundings.
Hartmaan and Delgado (2005) numerically simulated the non-uniformities arising
due to the effect of convective transport and heterogeneous heat transfer during high
pressure (400-500 MPa) induced inactivation of E. coli and B. subtilis alpha amylase.
They proposed that under high pressure processing conditions a fluid flow develops
which interacts with temperature changes effecting inactivation under transient
conditions. Differences in the temperature distribution in the vessel under high pressure
are also a function of the applied pressure and the rate of compression and could be of the
order of 6K at 500 MPa and rapid compression rates (Hartmann et al., 2004).
Mathematical modeling of combined pressure-heat treatment indicates that both the
forced and free convection arise due to pressure-temperature interactions during PATP.
Similarly, changes in rheological characteristics of the food and pressure transmitting
fluid can also influence the process non-uniformity (Hartmann et al., 2004; Baars et al.,
2007). Other factors influencing process nonuniformity during PATP may include
position of the sample within the high pressure chamber (Denys et al., 2000) and sample
phase transition characteristics (Siegoczyski et al., 2007).
2.3.1 Mathematical modeling of process non-uniformity
Basic equations of thermo-fluid dynamics viz. three dimensional heat transfer
equation, equation of continuity, Navier-Strokes equation, expressed appropriately with
23
dimensionless numbers can be used to numerically simulate the non-uniformity effects in
a pressure vessel (Baars et al., 2007; Hartman and Delgado, 2005).
Hartmann and Delgado (2005) employed the finite volume method to solve the
equations of fluid dynamics. The numerical method also considered effects due to
viscosity and heat transfer properties of packaging. Similarly, Carroll et al. (2003) used
the conductive heat transfer equation (neglecting convective effects) to model heat
transfer/ temperature distribution within the pressurizing fluid under high pressure
processing conditions (equation 3):
∇2𝑇 −𝜌𝑐𝑃
𝐾
𝜕𝑇
𝜕𝑡=
𝑇∝
𝐾
𝜕𝑃
𝜕𝑡……………………………………(3)
Assuming that the fluid is being heated at a constant rate (which would occur at
constant pressurization and over pressure range across which the physical properties of
the fluid are constant), the temperature profile during pressurization is obtained by
analytically solving the above equation (Carroll et al., 2003). Similarly progressively
solving heat transfer equations, Carroll et al. (2003) obtained heat transfer equations for
holding phase and cooling phase. Also, heat transfer between the compressed fluid and
the vessel walls could be modeled using the basic heat transfer equation in radial
direction and for top and bottom surfaces (Hartman et al., 2004). In general, the thermal
effects under high pressure in a pressure vessel have been modeled by modifying the
basic heat transfer equation proposed by Fourier (Caroll et al., 2003; Denys et al., 2000;
Chen et al., 2007). Khurana and Karwe (2009) used the basic equations of mass
momentum and energy to simulate fluid flow and temperature distribution in a high
24
pressure vessel. Boussinesq approximation was used to model natural convection in the
high pressure vessel assuming very small changes in density. After considering time
constant of thermocouples used they reported a good agreement between numerically
predicted and experimentally obtained temperature data at lower initial temperatures. At
higher starting temperatures, enthalpy balance to correct numerically predicted data
showed better agreement between the predicted and experimental values. Attempts have
also been made to use neural networks for predicting the process parameters (Torrecilla
et al., 2004).
Hartmann et al. (2004) employed mass, momentum and energy conservation
equations to model thermo-fluid dynamics under high pressure conditions (up to 500
MPa). Temperature distribution simulated using computational fluid dynamics is shown
in Figure 2.4. It was found that temperature increases from the bottom to the top of the
vessel. Also it has been reported that temperature maxima exists at the top corner and the
top central zones (Hartmann et al., 2004; Hartman and Delgado, 2005).
In another study, Chen et al. (2007) used computational fluid dynamics to predict
transient temperature, pressure and velocity distribution vectors during different stages of
pressure cooling of pork (Figure 2.5). Three dimensional equations of energy and
momentum transfer were used in modeling and differential scanning calorimetry was
employed to determine enthalpy of pork at different temperatures. The results show that
temperature within the sample decreases radially from the center of the vessel towards
the boundaries. However, in the pressure vessel itself, the cold region exists towards the
bottom of the vessel (Chen et al., 2007).
25
2.3.2 Use of enzyme/protein based biochemical markers as indicators of process
non-uniformity
Few researchers have proposed the use of enzyme/protein based markers for
estimating thermal non-uniformities under combined pressure-temperature processing
conditions (Grauwet et al., 2010; Gogou et al., 2010).Gogou et al. (2010) studied
Thermomyces lanuginosus xylanase enzyme up to 600 MPa and 50-70oC and found a
synergistic effect of pressure with temperature on the enzyme inactivation. First order
inactivation kinetics was reported. Likewise, Grauwet et al. (2010) evaluated the
potential of using Bacillus amyloliquefaciens α-amylase based indicator for mild
pressure-temperature conditions. After exposing the above enzyme to isobaric-isothermal
treatments up to 680 MPa and 10-45oC and dynamic pressure-temperature treatments
(350-600 MPa and initial temperature 10-25oC), the enzyme activity was measured. Due
to our limited understanding, further research is needed to develop real-time, reliable,
sensitive and versatile industrially relevant sensors that can be used for mapping
pressure-heat related non-uniformities with precision, accuracy and reproducibility
especially during high pressure sterilization or pressure assisted thermal sterilization
(PATS) conditions.
2.3.3 Reporting PATP data
For successful development of PATP, it is important that researchers are able to
compare and validate results obtained from various laboratories. However, a number of
factors can make this difficult.
1. Differences in the equipment design, material of construction, and insulation
characteristics.
26
2. Differences in the pressurization and depressurization rate
3. Neglecting to consider thermal effects under pressure and control initial sample
temperature
4. Inadequate description of the experimental procedures (example – some research
papers do not clarify whether or not pressurization and depressurization times are
included in the stated pressure holding times, whether or not stated temperature is
initial sample temperature or sample temperature under pressures)
5. Type of pressure transmitting fluid used and the ratio of pressure transmitting
fluid: to sample
The recommended experimental practices in high pressure research have been suggested
by Balasubramaniam et al. (2004).
2.4 Spore inactivation kinetics under pressure
Whereas high pressure has been shown to effectively inactivate vegetative cells
(Dogan and Erkmen, 2004), pressure alone has little effect on the destruction of spores.
At ambient temperatures, bacterial spores can survive pressures above 1000 MPa (Farkas
and Hoover, 2000). It has been found that combined pressure-temperature treatment has
synergistic effect on the spore inactivation (Cheftel, 1995; Hoover et al., 1989; Rovere et
al., 1998, Ananta et al., 2001). However, few studies have addressed PATP spore
inactivation kinetics over a range of pressure and temperature conditions (Rovere et al.,
1998; Miglioli et al., 1997; Ananta et al., 2001; Margosch et al., 2004a,b, Margosch et al.,
2006, Rajan et al., 2006, Rodriguez et al., 2004; Reddy et al., 2006; Ahn et al., 2007; Bull
et al., 2009; Zhu et al., 2008).
27
Spore formation is a unique survival strategy of some bacteria and among them
spores of Clostridium botulinum are the most important in food safety considerations
(Heinz and Knorr, 2001). Possibly due to differences in mechanism of inactivation
between thermal and combined pressure-heat treatment, some of the traditional surrogate
organisms such as Bacillus sterothermophilus and Clostridium sporogenes appear to be
sensitive to PATP treatments. Bacillus amyloliquefaciens, a mesophilic organism that
forms highly pressure resistant spores, has been proposed as a nonpathogenic target
microorganism for assessment of sterility achieved using combined pressure-temperature
treatments (Margosch et al., 2004b; Ahn et al., 2007).
Unlike the typical linear profile on a semi-log plot of spore inactivation behavior
during thermal processing, a characteristic tailing bending the inactivation curve concave
upward is observed during PATP of spores (Okazaki et al., 2000; Ananta et al., 2001;
Rajan et al., 2006; Reddy et al., 2003). Hence, the use of non-linear kinetic models to
describe PATP spore inactivation has been suggested to be more appropriate (Peleg and
Cole, 1998; Rajan et al., 2006; Ahn et al., 2007). Some empirical non-linear models
reported in the literature include the nth
order kinetics, the log-logistic, the Weibull
distribution and the biphasic model (Ananta et al., 2001; Ardia et al., 2003; Koutchma et
al., 2005; Rajan et al., 2006; Ahn et al., 2007). The non-linear survivor curves discussed
above are thought to be due to multiple effects of high pressure and temperature on both
spores and cells resulting in shoulders and tails. Pressure affects multiple sites and
mechanisms of spore survival and not just one specific site or mechanism. Similar
concept has been proposed for microorganism cells (Hoover et al. 1989; Tay et al., 2003).
28
Sub-lethal injury to cells, presence of cell clumping and activation of dormant spores
have been proposed as possible reasons for shouldering. A variety of hypotheses explain
the tailing phenomenon during cell inactivation (Tay et al., 2003) and a similar
hypothesis needs to be developed for tailing behavior during spore inactivation.
1. Spores in suspensions may form clumps that create an artifact in estimating CFU
by plate counting techniques which results in the tailing of survivor plots.
2. Increased resistance to lethal process subsequent to lethal stresses (stress
adaptation).
3. Genetic heterogeneity in treated spore population (Heldman and Newsome, 2003;
Tay et al., 2003; Mañas and Pagán, 2005).
Studies to demonstrate that survivors of a sub-lethal pressure treatment display
increased pressure resistance during subsequent pressure treatments after being given
sufficient time to recover are in progress (Tay et al., 2003).
2.4.1 Factors affecting spore inactivation
2.4.1.1 Process pressure and temperature
Both temperature and pressure are critical process parameters influencing
microbial lethality during PATP. Rovere et al. (1998) studied the inactivation of spores
of genus Bacillus at 50, 60 and 70oC and 700, 800 and 900 MPa pressure and found that
Bacillus stearothermophillusspores showed one log reduction at 50oC, three log reduction
at 60oC and five log reduction at 70
oC. An increase in pressure from 700 to 900 MPa at a
particular temperature showed little effect on spore inactivation. Similar effect of
temperature was observed on spores of B. coagulans, B. cereus and B. licheniformis.
29
Seyderhelm and Knorr (1992) reported a two log decrease in Bacillus
stearothermophillus spore population from an initial count of 106 upon subjecting them to
200 MPa at 90oC for 30 min. The same reduction required 350 MPa at 80
oC for 30 min.
and at 70oC, 400 MPa and 45 min. little inactivation was achieved. Reddy et al. (1999)
noted greater log reduction of Clostridium botulinum spores (type E) in phosphate buffer
when the temperature was increased from 35 to 55oC at approximately 827 MPa for 5
min. A 5-log reduction of type E (Alaska) spores in phosphate buffer at 827 MPa and
40oC for 10 min holding time was observed by them. In another study, Rajan et al. (2006)
studied the effect of pressure and temperature (500-700 MPa at 95, 105, 110 and 121oC)
on inactivation of Bacillus amyloliquefaciens spores in egg patty mince. Pressure
coefficients (zp and ΔV) and temperature coefficients (zt and Ea) were used to characterize
the effects of pressure and temperature on spore inactivation. It was observed that at
elevated pressures, the spores became less sensitive to temperature changes. Similarly, as
temperature was increased the spores showed less sensitivity to changes in pressure.
2.4.1.2 Pressure come-up-time
Unlike thermal processing, during PATP, the bacterial spores are subjected to
harsher pressure-heat combinations. Pressure-come up is primarily determined as a
function of horse power of the equipment. Temperature-come-up will further influenced
by the heat transfer characteristics of the insulation used, heat of compression of the test
material, initial temperature of the product. Ahn et al. (2007) studied reported that
combined pressure-temperature treatment significantly increased the number of log
reduction of bacterial spores during the pressure come up time. Rajan et al. (2006) also
30
reported the reduction in number of spores during the pressure come up time. The
reduction varied between 0.1 and 1.2 log reduction per g egg product, depending on the
treatment conditions. Lower pressure temperature combinations resulted in lesser
reduction of spore population (500 MPa at 95 to 105oC) whereas high pressure and
temperature (700 MPa, 121oC) inactivated upto 1.2 log spores per g egg product during
the come up time period. Margosch et al. (2004a) also reported a reduction in the
population (< 0.5-log reduction) of B. amyloliquefaciensspores during a 5 min pressure
come-up time for PATP at 600 MPa and 80oC. These authors also reported reduction in
numbers of other spores tested, such as C. botulinum TMW 2.357 (1.5-log reduction), C.
thermosaccharolyticum (3-log reduction), and Bacillus subtilis (>5-log reduction) during
similar come-up times. These observations suggest that different spores are likely to have
different resistances during the pressure come-up time and highlight the importance of
documenting the PATP come-up time and the corresponding spore inactivation.
However, at least one conflicting evidence of the combined effect of pressure and
temperature on the inactivation of bacterial spores was found in the study conducted by
Ahn et al. (2007). Treatment of B. amyloliquefaciens ATCC 49763 spores with 121°C at
0.1 MPa and 121°C at 700 MPa inactivated 7.1 and 4.4 log spore/ml, respectively, during
process come-up time. This demonstrates the complex mechanism of spore inactivation
during PATP. In other words combination of pressure with temperature has some
protective effect at certain combination of pressure and temperature and this might or
might not exist for spores of other bacteria. Further studies are required to understand the
combined effect of pressure and temperature on the inactivation of bacterial spores.
31
2.4.1.3 Pressure hold time and rate of decompression
The type of spores, pressure temperature conditions and the pressure come-up-
time influence the effect of holding time on the inactivation of spores. Most the
researchers reporting combined effect of pressure and temperature on spore inactivation
kinetics, observed increasing spore inactivation with increase in pressure holding time
(Ahn et al., 2007; Rajan et al. 2006; Reddy et al., 2006; Margosch et al., 2004a,b).
Hayakawa et al. (1998) in their studies on rate of decompression on pressure inactivation
of B. stearothermophilus spores in a cyclic treatment found that rapid decompression
improved their inactivation. It was suggested that combined pressure temperature effect
induced water penetration through the spore coat and subsequent adiabatic expansion of
water caused its physical breakdown.
2.4.1.4 Type of pressure transmitting fluid
Balasubramanian and Balasubramaniam (2003) studied the inactivation of
Bacillus subtilis spores using water-glycol mix of different concentrations (water/glycol
75/25, 50/50, 25/75) and 2% sodium benzoate solution as pressure transmitting fluids. Of
the four different pressure transmitting fluids selected for the study viz. 3 water-glycol
combinations (25:75, 50:50 and 75:25) and one water-sodium benzoate (98:2)
combination, water-sodium benzoate combination showed 2 log greater inactivation
values as compared to the combination with highest compression heating values (Water:
glycol :: 25: 75). This effect was attributed to the difference in thermo-physical properties
of various pressure transmitting fluids used (Balasubramanian and Balasubramaniam,
2003). In another study, Robertson et al. (2008) reported the effect of two different
32
pressurizing fluids viz. 1:9 emulsion of food grade canola oil in water and silicon oil on
the inactivation of spores of Bacillus spp. isolated from New Zealand milk and milk
products. Spores of six species of Bacillus isolates were added to sterile reconstituted
skim milk and processed using HPP at 600 MPa, 75oC for 60 sec. The log inactivation of
all strains was reported to be higher in silicone oil than in water-based pressure
transmitting fluid. This effect was explained by pointing out the differences in
temperature increase due to compression heating of pressure transmitting fluids during
pressurization phase of combined pressure-temperature treatment (Robertson et al.,
2008). Often times, the lab scale equipment and commercial high pressure equipment
may utilize different pressure transmitting fluids. Appropriate care must be taken to
translate the microbial inactivation studies from laboratory scale equipment to
commercial scale equipment (Balasubramaniam et al., 2004).
2.4.1.5 Sporulation conditions and mineral composition of the spores
Studies on the effect of sporulation conditions (pH, temperature, composition of
the sporulation media, etc.) on the resistance of spores to inactivation during PATP
suggest that unlike thermal inactivation, decreasing the sporulation temperature increases
the pressure resistance of spores (Ratphitagsanti et al., 2008; Black et al., 2007).
Similarly, the type of mineral present in the spores can influence pressure resistance of
spores (Rathpitagsanti et al., 2008; Black et al., 2007). Also, there is no specific
correlation between the resistance of bacterial endorspores to heat and that to pressure.
Thus, two bacterial endospores showing similar resistance to pressure might show
different resistance to inactivation by heat only or inactivation by a combined pressure-
33
temperature treatment (Black et al., 2007). The unpredictable nature of spore inactivation
using PATP and enigmatic observations in spores such as superdormancy continues to
intrigue the researchers (Black et al., 2007). More insight is needed to establish the inter-
relationships between spore composition, composition of the spore environment
including process conditions and the mechanisms underlying inactivation of a variety of
spores so that a reliable spore inactivation model under PATP conditions could be
developed.
Further research in PATP induced spore inactivation is needed to evaluate the effect
of physic-chemical properties such as pH, water activity, food matrix and food
component interactions on spore inactivation. It is also desirable to develop suitable
chemical or enzymatic markers as indicators of spore inactivation. Minimizing tailing
during inactivation of spores in PATP is also needed. Data on molecular mechanisms of
spore inactivation under PATP would only help improve the process design to effect
sterility of food products (Balasubramaniam and Farkas, 2008). Kinetic database on the
inactivation kinetics of different spores in various food products would help establish
pressure-temperature conditions for PATP and help the regulatory authorities in
approving the process for commercialization.
2.5 Impact of pressure assisted thermal processing on quality attributes of foods
Pressure assisted thermal processing of foods to achieve sterility has not been studied
much for quality changes. Conventionally high pressures in combination with lower
temperatures have been employed for processing number of foods such as milk, jams,
jellies, guacamole, inactivation of enzymes in fruit and vegetable products, etc. Several
34
research articles reporting such studies are available in the literature. However, the
present discussion aims to highlight some studies on changes in the quality attributes of
selected foods during PATP.
2.5.1 Quality changes during pressure assisted thermal processing (PATP)
Nguyen et al. (2007) studied the effect of pressure assisted thermal processing on
texture, color, carotenoid content and microstructure of carrots. Pressure treatments
between 500-700 MPa employing temperatures between 95 and 121oC showed that
pressure assisted thermal processing resulted in better product quality as compared to
thermal treatments using corresponding product heating profile and temperatures as that
in PATP. The holding time was however higher in case of thermal processing in order to
achieve the required sterility. Textural loss in PATP showed a typical dependence on
pressure at lower temperatures (95 and 105oC) and this dependence on pressure decreased
at higher temperatures (121oC). At 121
oC and lower pressures (500 MPa), textural loss
was higher as compared to that at 121oC and 700 MPa due to higher preheating
temperature and time required before pressurization. Color and carotene retention was
much better in PATP processed samples as compared to the thermally processed samples.
Also, the microstructures of PATP processed carrots (700 MPa, 105oC, 5 min) were very
similar to the fresh control sample (Figure 2.6). Thermal processing at 105 0C and 30
min showed a collapsed structure (Nguyen et al., 2007). Similar findings of PATP
treatments on carrot texture were reported by de Roeck et al. (2008). They found that
PATP resulted in minimal softening and very little changes in intercellular adhesion. A
35
clear difference was noticed between PATP and thermally processed carrot pectin. Unlike
thermal sterilization, texture was preserved after PATP treatments.
In continuation of their previous work, Rastogi et al. (2008) reported the positive
influence of pressure (100-400 MPa), temperature (50-70oC) and calcium (0.5-1.5% w/v)
pretreatments and their combinations on the hardness of PATP treated carrots. They
found a distinct increase in hardness with each of the pretreatments and with combination
treatments a far greater increase in hardness as compared to individual pretreatments. In
each case calcium had positive influence on the hardness. It was found that combined
pressure, temperature and calcium pretreatment helps in preserving the cell
microstructure.
PATP also affects the retention of lycopene and rheology of tomato puree
(Krebbers et al., 2003). Pressure assisted thermal sterilization at 700 MPa and 121oC
results in color improvement and better retention of lycopene compared to 40% loss after
thermal sterilization at 118oC for 20 min. The viscosity of PATP treated tomato puree is
lower as compared to the thermally sterilized sample. PATP also results in 99%
inactivation of PG and PME (Krebbers et al., 2003). Juliano et al. (2006) reported a 30%
reduction in textural properties such as hardness, cohesiveness and water loss after PATP
of egg patties formulated with Xanthan gum and cheese. The pressure-temperature
combinations employed were 700 MPa for 105 or 121oC and 3 or 5 min holding time.
Also, low vacuum packaging in egg patties modified using Xanthan gum and PATP
processed at 700 MPa, 105oC, 5 min showed texture comparable to original patties.
Textural attributes and syneresis were significantly influenced by preheating rates. Also,
36
water addition to the defrosted patties increases the water holding capacity and helps
maintain hardness within acceptable values after PATP at 105 and 121 0C and 700 MPa.
Pressure assisted thermal processing has also been shown to retain textural
properties and nutrients and significantly inactivate enzymes. High pressure sterilization
(PATP) using pulses (1000 MPa, 105oC, 80 sec process time, pulse gap 30 sec) results in
better retention of firmness and ascorbic acid in green beans as against thermal
sterilization (118oC, 30 min). Pulsed PATP also results in 99% inactivation of
peroxidase (POD) as against high pressure processing (HPP) at 500 MPa, 45oC, where
76% initial POD activity is retained (Krebbers et al., 2002).
Butz et al. (2002) studied the effect of combined pressure and temperature on
broccoli, carrots, tomatoes and tomato pulp and found very less effect of high pressure on
chlorophyll a and b in broccoli, and carotenoids and lycopene in tomatoes. Antioxidant
capacity of the water soluble fraction of tomatoes and carrots and antimutagenicity of
high pressure treated tomato pulp was almost the same as that of control. High pressure
treated tomato pulp showed higher water binding ability and increased glucose
retardation index. Extractability of carotenoids from coarse carrot homogenate was found
to decrease.
PATP between 500-700 MPa and 90-115oC was shown to affect the chemical
pectin conversions (de Roeck et al., 2009). Apple pectin solutions at pH 6.5 were
subjected to increasing temperature treatments at atmospheric pressure (0.1 MPa) and
PATP (combined pressure temperature) treatments. Whereas, a temperature-only effect
resulted in higher rate constants for demethoxylation of pectin than beta elimination,
increase in temperature showed higher rate of increase of beta elimination than
37
demethoxylation. However, under PATP conditions, demethoxylation was found to be
stimulated and beta elimination was retarded.
Leadley et al. (2008) compared the effects of PATP and thermal sterilization on
color, texture and microbial quality of green beans and found that PATP treated samples
were darker in appearance and had a significantly firmer texture as compared to the
thermal sterilized samples.
Compared to the studies on how HPP influences interactions between the
components of various food products, effects of PATP on the quality attributes of foods
are relatively less studied. There is a need to study the interactions of food components
and changes in the physico-chemical properties of foods under PATP conditions. Also,
further research is needed to quantify the effect of PATP on the bioavailability of
nutrients after processing and storage. Data on consumer perception and acceptability of
PATP processed products is also required before commercializing products processed
using this technology (Balasubramaniam and Farkas, 2008).
2.5.2 Effect of PATP on nutrient content of foods
Several studies have reported the positive effects of pressure treatment at
temperatures ≤ 60oC on maintaining the fresh like nutrient content of foods (Sanchez-
Moreno et al., 2009). However, very few studies have investigated the effect of pressure
at elevated process temperatures (> 90oC) during PATP on preserving the nutrients in
foods.
Van den Broeck et al. (1998) studied the degradation kinetics of Vitamin C in an
isobaric-isothermal treatment of orange and tomato juice at 850 MPa, 65-80oC up to 400
38
min holding time. Significant degradation of Vitamin C was observed and the
degradation followed first order kinetics. However, at 850 MPa and 50oC, no degradation
of Vitamin C was observed during 60 min holding time. In general, HPPwas found to
increase the antioxidant capacity of fruit and vegetables and was influenced by food
composition, processing pressure, pressure holding time and target temperature (Sanchez-
Moreno et al., 2009).Studies on isothiocyanates present in vegetables such as broccoli
show that increase in temperature during combined pressure-temperature treatments
increase the degradation of isothiocyanates and the degradation follows first order
kinetics (van Eylen et al., 2007).
While heat, light, and oxygen can decrease lycopene during food processing,
combined pressure-temperature shows capability of preserving tomato lycopene content.
A number of studies have reported increased extractability of lycopene from tomato
products exposed to specific pressure-temperature treatments (Gupta et al., 2010;
Krebbers et al., 2003; Sanchez-Moreno et al., 2004; Sanchez-Moreno et al., 2006). In
addition, Gupta et al. (2010) reported lower rate of degradation and thus better retention
of lycopene and color in tomato juice processed using PATP (600 MPa, 100oC) and
stored for a period of 1 year at 4, 25 and 37oC. Since preserving nutritional attributes is a
major objective of any process, more studies are needed to characterize the effect of
PATP on various nutritional principles in food products.
Current regulatory status
Unlike the US Food and Drug administration’s minimum time-temperature
specifications for achieving commercial sterility in foods (21 CFR 108,113 and 114), the
39
regulatory approval for PATP process is evolving. During 2009 Feb, FDA issued no
objection to an industrial petition for processing a shelf stable food by PATP. The
petition considered the process as a thermal process (at 121oC) ignoring the pressure
lethal effects. At this time, no PATP sterilized products are commercially available.
2.6 Conclusions
Pressure assisted thermal processing (PATP) holds promise in significantly
improving the quality and stability of foods without affecting the safety. Research results
from PATP studies have demonstrated its effectiveness in lowering the sterilization time
of foods below 10 min at temperatures much lower than those used in thermal
sterilization. With the added effect of pressure, PATP expands the limits of thermal
processing in developing new products and extending their health related functionality in
the human diet.
40
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54
Table 2.1 Properties of water (25oC) at different pressures
1
Properties/pressure 0.1 MPa 100 MPa 200 MPa 500 MPa
Thermal Conductivity
(W/mK)
0.61 0.65 0.72 0.76
Specific heat (kJ/kg K) 4.18 3.99 3.83 3.79
Density (kg/m3) 997 1038 1101 1150
1Predicted values using NIST/ASME software (Adapted from Ramaswamy et al., 2005)
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Table 2.2 Heat of compression values of selected foods determined at initial sample
temperature of 25oC
Food sample Temperature increase (oC) per 100 MPa
Water 3.0
Orange juice, tomato salsa, 2% fat milk
and other water like substances
2.6-3.0
Carbohydrates 3.6-2.6a
Proteins 3.3-2.7a
Linolenic acid 9.0 - 5.9a
Soybean oil 9.1-6.2a
Olive oil 8.7-6.3a
Crude beef fat 4.4
Extracted beef fat 8.3-6.3a
Beef ground 3.2
Gravy Beef 3.0
Chicken fat 4.5
Chicken breast 3.1
Salmon fish 3.2
Egg albumin 3.0
Egg Yolk 4.5-4.3a
Egg whole 3.3
Mayonnaise 7.2-5.0a
Whole milk 3.2
Tofu 3.1
Mashed Potato 3.0
Yoghurt 3.1
Cream cheese 4.9-4.7a
Continued
56
Hass avocado 4.1-3.7a
Honey 3.2
Water/Glycol (50/50) 4.8-3.7a
Propylene glycol 5.8-5.1a
Ethanol 10.6-6.8a
a Substances exhibited decreasing temperature rise with increase in pressure
(Adapted from Rasanayagam et al., 2003; Kesavan et al., 2002; Ramaswamy et al., 2005)
Table 2.2 continued
57
Figure 2.1 A typical pressure-temperature profile of a food sample during preheating,
compression and holding time for combined pressure-temperature processing (PATP). t1,
t3, t4, and t5 are the preheating, compression, holding, and decompression times,
respectively.
58
Figure 2.2 Heat of compression values of water (experimental - dashed lines) vs.
predicted (continuous lines using NIST/ASME software) at different initial temperatures
(Adapted from Ramaswamy et al., 2005)
0
1
2
3
4
5
6
100 150 200 250 300 350 400 450 500 550 600 650
(DT
/DP
) x 1
00
(°C
/MP
a)
Pressure (MPa)
0°C 25°C 50°C 70°C
0°C 25°C 50°C 70°C
59
Figure 2.3 Change in thermal conductivity of selected foods as a function of pressure
(Ramaswamy et al., 2007)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
0 100 200 300 400 500 600 700
Pressure (MPa)
Th
erm
al
co
nd
ucti
vit
y (
W/m
ºC)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
Water Canola oil
Honey High fructose corn syrup (HFCS)
Apple juice Clarified butter
Canola oil (linear regression) Water (linear regression)
Apple juice (linear regression) HFCS (linear regression)
Honey (linear regression) Clarified butter (linear regression)
Bridgman's formula prediction
60
Figure 2.4 Temperature and velocity distributions at 136, 182, 500 and 820 s (left to
right) for process with 500 MPa final pressure. At 136 s, forced convection dominates, at
182 s, the holding phase begins, the flow field reorganizes and temperature has reached
its maximum. Later, temperature goes down and fluid motion is attenuated. Adapted from
Hartmann et al. (2004)
61
Figure 2.5 Temperature distribution generated from CFD model (100 MPa) at the end of
each stage: (a) pre-loading (stage 1), (b) pressure build-up or compression (stage 2), and
(c) pressure holding (stage 3). Adapted from Chen et al. (2007)
62
Figure 2.6 Microstructures of (A) control, (B) pressure treated (700 MPa, 25oC, 5 min.),
(C) pressure assisted thermal processed (700 MPa, 105oC, 5 min.) and (D) thermally
processed (105oC, 0.1 MPa, 30 min) carrot samples. Adapted from Nguyen et al. (2007)
63
CHAPTER 3: COMBINED PRESSURE-TEMPERATURE EFFECTS ON
CAROTENOID RETENTION AND BIOACCESSIBILITY IN TOMATO JUICE
Abstract
This study investigated the changes in lycopene and β-carotene retention in
tomato juice subjected to combined pressure-temperature treatments ((high pressure
processing (HPP; 500-700 MPa, 30oC), pressure assisted thermal processing (PATP; 500-
700 MPa, 100oC)) and thermal processing (TP; 0.1 MPa, 100
oC)) for up to 10 min.
Processing treatments utilized raw (untreated) and hot break (~93oC, 60 sec) tomato juice
as controls. Changes in bioaccessibility of these carotenoids as a result of processing
were also studied. Microscopy was applied to visualize processing induced
microstructure changes.
TP did not alter the lycopene content of the tomato juice. HPP and PATP
treatments resulted in up to 12% increase in lycopene extractability. All-trans β-carotene
showed significant degradation (p<0.05) as a function of pressure, temperature and time.
Its retention in processed samples varied between 60-95 % of that originally present in
the control. Regardless of the processing conditions used, less than 0.5% lycopene
appeared in the form of micelles. When raw juice was processed, the amount of lycopene
present in micelles of raw juice (control), HPP, PATP and TP samples was 25.4±1.8,
27.3±2.2, 27.2±1.6 and 26.7±1.3µg/100g juice, respectively. Likewise, when hot break
juice was processed, the amount of lycopene in the micelles of hot break juice (control),
HPP, PATP and TP samples was 21.4±0.16, 24.3±0.36, 23.8±0.2 and 26.2±0.22,
64
respectively. Electron microscopic images showed denser and more prominent lycopene
crystals in HPP and PATP processed juice than in thermally processed juice. However,
lycopene crystals did appear to be enveloped regardless of the processing conditions
used.
The processed juice (HPP, PATP, TP) showed significantly higher (p<0.05) all-
trans β-carotene micellarization as compared to the raw unprocessed juice (control). The
amount of β-carotene present in micelles of raw juice (control), HPP, PATP and TP
samples was 25.2±1.33, 30.0±2.1, 31.0±2.9 and 33.9±1.4µg/100g juice, respectively.
Interestingly, hot break juice subjected to combined P-T treatments showed 15-30% more
all-trans β-carotene micellarization than the raw juice subjected to combined P-T
treatments. The amount of all-trans β-carotene in the micelles of hot break juice
(control), HPP, PATP and TP samples was 35.9±0.92, 37.5±0.41, 36.1±0.33 and
37.9±0.63, respectively.
This study demonstrated that combined pressure-heat treatments increases
lycopene extractability. However, the in-vitro bioaccessibility of carotenoids (more
specifically, lycopene) was not significantly different among the treatments investigated.
3.1 Introduction
Dietary intake of lycopene (80% of which is contributed by tomato and tomato
products) has been proposed to be inversely related to the risk of certain types of cancer
or chronic diseases (Giovannucci et al., 1995; Hadley et al., 2002). However, lycopene
(C40H56) with 11 conjugated double bonds is particularly susceptible to oxidative
65
degradation and isomerization upon exposure to light, oxygen, elevated temperatures,
extremes in pH and active surfaces (Nguyen and Schwartz, 1999).
Combined pressure-heat treatments can be utilized for food pasteurization (High
pressure processing (HPP); 400-600 MPa treatment at chilled or mild process
temperatures) and sterilization (Pressure-assisted thermal processing (PATP); 500-700
MPa, 90-120oC) (Balasubramaniam and Farkas, 2008; Rastogi et al., 2007). They help
the food processors in producing quality foods with minimal effects on taste, texture,
appearance, or nutritional value.
Although lycopene is fairly stable to degradation and isomerization during
conventionally practiced thermal treatments (Nguyen and Schwartz, 1999; Nguyen et al.,
2001), high pressure processing has shown an increase in the extractable lycopene from
tomato products (Qiu et al., 2006; Krebbers et al., 2003, Hsu et al., 2007). Krebbers et al.
(2003) studied the fate of lycopene in tomato puree subjected to HPP (300, 500 and 700
MPa at 20oC for 2 min) and PATP (700 MPa, 90
oC for 30 sec.). Authors observed an
increase in the amount of extractable lycopene from the tomato puree. Similar results
were reported for pressure treated tomato puree (100-600 MPa, 20oC, 12 min) (Qiu et al.,
2006) and tomato juice (300-500 MPa, 25oC, 10 min) (Hsu et al., 2007). However, none
of the prior studies investigated the effects of different juice extraction methods (raw
juice vs. hot break juice) on carotenoids. In addition, the impact of combined pressure-
heat treatments (at elevated process temperatures >60oC) on carotenoids is not well
understood. Hence, a comprehensive study is needed to understand the changes in
carotenoids occurring during combined P-T processing.
66
Bioavailability of active phytochemicals such as lycopene is an important
consideration for any novel processing technology. Garrett et al. (1999) developed an in-
vitro digestion method to assess carotenoid bioavailability from meals and reported that
micellarization of lycopene from the meal was less than 0.5%. The meal contained 7.5%
tomato paste, 3% chicken fat. It was microwaved for 50 sec on a high energy setting.
Since lipophilic food components are absorbed from the intestine in the form of micelles,
the very low micellarization of lycopene from the (<0.5% lycopene micellarized) food
meals limits the bioavailability of lycopene. Several other studies have reported the
limited micellarization of lycopene from tomato based test meals after thermal processing
(Reboul et al., 2006; Goni et al., 2006; Huo et al., 2007; Failla et al., 2008; Aherne et al.,
2009; Colle et al., 2010). However, the impact of combined pressure-temperature
treatments on micellarization of lycopene has not been reported.
3.2 Objective
Thus, the overall objective of this study was to investigate the pressure-thermal
effects on post processing extractability, isomerization and bioaccessibility of lycopene
and β-carotene in tomato juice and to microscopically study the changes caused by such
treatments.
3.3 Materials and methods
Fully ripe red Roma tomatoes were purchased from a local store and processed
within 48 hours of procurement. Figure 3.1 presents the overall experimental approach
used during the study. The study utilized raw (untreated) tomato juice and hot break juice
as controls. Samples were subjected to various thermal, combined pressure-heat
67
treatments. Impact of these processes on tomato carotenoids was evaluated. Further
microscopic analysis was carried out to evaluate microstructure changes.
3.3.1 Juice preparation
Tomato juice was extracted at ambient conditions (22oC) on the day of purchase
using a lab scale juicer (Juiceman Jr.), immediately filled in polypropylene pouches (5cm
X 3 cm) (3 mil Deli, Thomson Equipment and Supply, Cincinnati, OH) and carefully heat
sealed using a hand impulse heat sealer (American International Electric, Whittier, CA)
after manually removing any trapped air bubbles. In order to minimize undesirable
effects of active enzymes, the pouch containing juice were immediately immersed in an
ice bath, stored in a refrigerator (4oC) and processed within 6 hours.
To prepare hot break juice, the raw juice was rapidly heated to 93.3oC in a hot pan
with constant stirring, held for 60 sec to inactivate the enzymes, and rapidly cooled to
21±0.6oC. Subsequently about 4 g of hot break juice was packaged in polypropylene
pouches. The packaged juice samples were stored in a refrigerator at 4oC and subjected to
various pressure-heat treatments within one day of extraction. The initial pH and %TSS
of the fresh tomato juice were 4.45 and 5.1, respectively. Hot break juice also had pH and
%TSS values of 4.44 and 5.3, respectively (Table 3.1).
3.3.2 High-pressure kinetic tester
Packaged tomato juice was treated in high-pressure kinetic tester (pressure test
unit PT-1, Avure Technology Inc., Kent, WA) (Ratphitagsanti et al., 2009). A 54-ml
stainless steel (SS-316) pressure chamber was immersed in a temperature-controlled bath
to maintain the desired process conditions (30oC for HPP and 100.5
oC for PATP).
68
Propylene glycol (57-55-6, Avatar Corporation, University Park, IL) was used as the
pressure transmitting medium as well as heating medium in the temperature controlled
bath. The desired pressure was generated at the rate of 18.42 MPa/s using an intensifier
(M-340 A, Flow International, Kent, WA) connected to a hydraulic pump (model
PO45/45-OGPM-120, Interface Devices, Milford, CT). The depressurization rate was
approximately 2 s. The unit was used for both high pressure processing and pressure-
assisted thermal processing experiments as outlined below.
3.3.3 High pressure processing
The tomato juice samples were pressure treated at 500, 600 and 700 MPa for 0, 3,
5 and 10 min at 30oC. Prior to pressure treatment, the juice samples were chilled in ice–
water mixture for 10 min. The chilled samples were placed inside a 10-ml polypropylene
syringe (model 309604, Difo, Becton Dickinson), which served as the sample holder. The
sample holder was also filled with ~6 ml of chilled water to ensure that immediate
vicinity of the sample pouch had similar temperature and heat of compression
characteristics as that of the tomato juice. To minimize heat exchange with the
surrounding glycol, the sample holder was wrapped with two layers of insulating material
(Sports Tape, CVS pharmacy Inc., Woonsocket, RI) (Nguyen et al., 2007). The initial
temperatures of the samples were determined by using the following formula (Nguyen et
al., 2007) and verified by performing preliminary experiments.
𝑇3′ = 𝑇3 +( (𝐶𝐻𝑚 ∗𝑀𝑓)𝑖
𝑀 (
∆𝑃
100) + ∆𝑇H ………………………………………… (1)
69
T3
’ is the target temperature, T3 is the initial sample temperature, CH is the heat of
compression value of the sample (defined as temperature increase per 100 MPa during
sample pressurization), and ΔP is the process pressure. Owing to its high moisture
content, CH value of tomato juice was assumed to follow that of water (Rasanayagam et
al., 2003). ΔTH is the temperature gain by the test sample from the surrounding glycol
bath during pressure process time and early stages of pressure holding time.
The pressurization started when the sample temperature reached the
predetermined value T3. Sample temperature history at various stages of combined
pressure-temperature treatment is given in Table 3.2. After processing, the samples were
immediately withdrawn and stored at 4oC until analyzed.
3.3.4 Pressure assisted thermal processing
PATP experiments were carried at 500, 600, 700 MPa at 100oC for 0, 3, 5 and 10
min. Before PATP, the samples and the sample holder 10-ml polypropylene syringe were
preheated (Table 3.2) in a hot water bath (Isotemp 128, Fisher Scientific, Pittsburgh, PA)
for a period of 5 min. The water bath was maintained at respective predetermined
temperatures for each of the pressures. The preheated syringe containing samples were
then transferred to the pressure chamber. Temperature of the pressure chamber was
maintained at the desired process temperature. The pressurization started when the
sample temperature reached the predetermined value T3 (Table 3.2). More details of the
experimental technique are described in sections above and elsewhere (Nguyen et al.,
2007). After processing, the samples were immediately cooled in ice–water mixture and
70
subsequently stored at 4oC until analyzed. Details of pressure-thermal history during
various combined pressure-heat treatment are summarized in Table 3.2.
3.3.5 Thermal processing
Boiling water in a steam jacketed kettle was used for thermal processing (100oC
for 0, 3, 5 and 10 min) of tomato juice. 4 g Juice vacuum packaged in (5cm X 3 cm)
pouches, immersed in the boiling water and held for 10 min. Subsequently the samples
were immediately cooled in ice–water mixture and refrigerated at 4oC until analyzed.
Details of temperature history during thermal process are given in Table 3.2.
3.3.6 Analysis
3.3.6.1 Carotenoid extraction and high performance liquid chromatography (HPLC)
Tomato carotenoids were extracted using a method developed by Ferruzzi et al.
(1998). Briefly, 4 g tomato juice was mixed with 4 g celite and 1 g calcium carbonate. 50
ml methanol was added and the mixture was homogenized at 10000 RPM for 1 min.
Carotenoids were extracted three times with 25 ml HPLC grade hexane/acetone (1:1 v/v)
(Fisher Scientific, USA). The combined hexane layer was collected quantitatively after
filtering through anhydrous sodium sulfate and the volume was made to 100 ml using
HPLC grade hexane. 2ml aliquots were dried under nitrogen, reconstituted in methyl tert-
butyl ether (MTBE)/ methanol (1:1 v/v) (HPLC grade, Fisher scientific, USA), filtered
through 0.2 µm 13 mm nylon syringe filter and 50 µl was injected for HPLC (Agilent
technologies, Model HP 1050) equipped with Waters 996 Photodiodearray (PDA)
detector. The mixture was separated on a Waters YMC C30 HPLC column (4.5 mm x150
mm, 5 μm particle size). Separations were achieved using gradient elution with different
71
concentrations of methanol: MTBE: 2% aq. ammonium acetate in reservoirs A (88:5:7)
and B (20:78:2). The following gradient was used: at 0 min 0% B, linear gradient to 85%
B over 20 min, followed by a linear gradient to 100% B over 10 min, returning to 0% B
and holding for 5 min.
Isomerization of the lycopene standard was performed in hexane by adding iodine
catalyst at a concentration of about 1% (w/w) of the lycopene weight and allowing the
mixture to sit for 15 min in fluorescent light of luminance 320 lux (lumens/m2). HPLC
analysis was then performed on the isomerized sample. Lycopene isomers in tomato juice
were identified by comparing chromatograms of tomato juice with the chromatograms of
isomerized lycopene standard (Gupta et al., 2010).
To quantify lycopene in tomato juice samples, a calibration curve was generated
using authentic all-trans lycopene standard. Spectra were extracted at lycopene
absorption maximum of 471nm. Levels of cis lycopene isomers are given in all-trans
lycopene equivalents.
β-carotene was identified by its characteristic spectra at an absorption maximum
of 450 nm. Levels of lycopene in processed samples are based on the initial amount
present in the control fresh juice and reported as percent retained.
3.3.6.2 Transmission electron microscopy (TEM)
Selected samples of untreated and processed tomato juice were examined by
transmission electron microscopy using the published procedure by Nguyen et al. (2001).
Briefly, tomato juice samples were lightly centrifuged in 2ml vials at 2000 RPM (24 X
3,75 g) using a eppendorf centrifuge (model 5424, Hauppauge, NY). The tomato juice
72
cells were then re-suspended for 30 min in a fixative consisting of 2.5% glutaraldehyde in
0.1 M phosphate buffer at pH 7.4 and centrifuged. After rinsing 3 times with 0.1 M
phosphate buffer containing 0.1 M sucrose buffer, the cells were re-suspended in a small
amount of warm 2% agarose, centrifuged and chilled in ice–water mixture for 10 min. to
set the agarose. The cloudy part containing cells was cut in 1 mm size blocks and fixed in
1% osmium tetroxide in 0.1 M phosphate buffer for 1 hour. The fixed samples were then
dehydrated using 10 min transfers through a graded ethanol series (50%, 70%, 80%,
95%, 100%, 100%) followed by propylene oxide. After embedding the samples in epon
resin and polymerizing overnight at 60oC, the samples were sliced and resulting sections
were transferred to carbon reinforced grids. The sections were examined on a FEI tecnai
spirit transmission electron microscope (FEI, Hillsboro, Oregon) at the campus
microscopy and imaging facility, the Ohio State University.
3.3.6.3 Light microscopy
Processed and unprocessed tomato juice samples were examined using Zeiss
Axioskop Widefield LM (Carl Zeiss Microimaging GmbH, Goettengen, Germany) at
100X with oil immersion objectives.
3.3.6.4 Bioaccessibility studies
The bioaccessibility studies were performed by adapting the method reported by
Garrett et al. (1999). Briefly, 5 grams of tomato juice was mixed with 3% olive oil and
incubated in a 37oC shaking water bath at 85 rpm for 10 min. The pH was adjusted to
2.0±0.1 using 1.0 M HCl and after adding 2 ml porcine pepsin (20 mg/ml in 0.1 M HCl),
the volume was made up to 40 ml using 120 mM NaCl. The mixture was blanketed with
73
nitrogen and sealed with paraffin. It was then incubated in a 37oC shaking water bath at
85 rpm for 60 min. After incubation the pepsin reaction was immediately stopped by
placing the reaction tubes in crushed ice. The pH was adjusted to 6.0 ±0.1 using 1 M
sodium bicarbonate followed by addition of 2ml pancreatin/lipase solution (10mg/ml
pancreatin + 5 mg/ml lipase in 100mM sodium bicarbonate) and 3ml bile solution (40
mg/ml bile extract solution in 100 mM sodium bicarbonate). The pH was then adjusted to
6.5±0.1 using 1 M NaOH and the volume was made up to 50 mL using 120 mM saline
solution. The mixture was blanketed with nitrogen, capped and sealed with paraffin. It
was then incubated in a 37oC shaking water bath at 85 rpm for 120 min. The enzymatic
reactions were ceased by placing the tubes in crushed ice. The solution was mixed well
and was centrifuged at 5000xg for 35 min at 4oC. The supernatant (aqueous phase
containing micelles) was then filtered through 0.22µm syringe filter (25mm diameter,
Fisher Scientific, Pittsburgh, PA) to remove microcrystalline non-micellarized
carotenoids that were not removed as pellets during centrifugation (Garrett et al., 2000).
Aliquots (1 ml) of the filtrate containing micelles were combined with 1 ml ethanol and
extracted three times with 2 mL of 1:1 acetone/hexane. 1ml distilled water was added to
the pooled extracts and the samples were re-extracted into 2mL hexane thrice. The pooled
hexane extract was evaporated under a stream of nitrogen. The dried samples were
reconstituted in 1 ml 1:1 MTBE/methanol and analyzed by high performance liquid
chromatography (Agilent Technologies, Model HP 1050) equipped with Waters 996
Photodiodearray (PDA) detector. The mixture was separated on a Waters 4.5mm x150
mm C-30 reverse phase HPLC column. Lycopene was quantified using a standard
lycopene curve generated using lycopene standard obtained from Chromadex inc.
74
3.3.6.5 Total soluble solids (0Brix) and pH
Total soluble solids (% TSS) were measured using Atago Digital Handheld
Pocket Refractometer (Cole-Parmer Instrument Company, Vernon Hills, Illinois). The pH
of raw tomatoes and the juice was measured using a portable handheld pH meter (Model
PHH-81A, Omega Engineering, Stamford, CT).
3.3.6.6 Statistical data analysis
Data was analyzed with Minitab software, version 14.1 (Minitab, State College,
PA). Data is expressed as mean±SD of three replicates for post processing lycopene
stability and five replicates in case of bioaccessibility studies. Pairwise comparisons for
the means of factors were evaluated with Tukey’s test at 5% significance level (P<0.05).
3.4 Results and discussion
Juice extraction and its effect on carotenoids (lycopene and β-carotene)
The total lycopene content (all-trans + cis isomer) of raw and hot break tomato
juices did not differ significantly. However, the lycopene cis isomer content of hot break
juice was significantly (approx. 25%) greater than that of the raw juice. Contrary to this,
hot break process degraded the all-trans β carotene content of the juice by 15% (of that
present in the raw juice). Selected attributes of fresh and hot break juice are given in
Table 3.1.
Impact of pressure-thermal effect on lycopene degradation
The stability of tomato lycopene as influenced by processing (HPP, PATP and
TP) and juice preparation (untreated raw and hot break) are presented in Figures 3.2 and
75
3.3. Raw juice had 6.86 mg/100g all-trans lycopene and 0.44 mg/100g cis lycopene.
Pressure treatment (500 MPa 30oC) for 0 min yielded approximately 13% lesser all-trans
lycopene isomer and approx. 29% less cis isomers as compared to the control (Figure
3.2a). However, prolonged pressure holding time at 500 MPa or elevated pressures did
not cause any additional degradation. Pressure treatment at 600 MPa, 30oC resulted in
similar all-trans lycopene values as that of control, however, the cis isomer content was
significantly lower than that present in the control (P<0.05). 700 MPa pressure treatment
at 30oC resulted in increased all-trans lycopene extractability (up to 12%) than the
control. These observations were consistent with the findings of earlier researchers
(Krebbers et al., 2003; Sanchez-Moreno et al., 2006; Hsu et al., 2008; Gupta et al., 2010).
The reason(s) for decrease in lycopene content at 500 MPa are unclear.
Studies in the literature have previously reported anomalous behavior in lycopene
extractability from tomato products exposed to certain pressure conditions (Krebbers et
al., 2003). Pressure is known to cause a decrease in activation volume and reactions that
are favored by increase in pressure and decrease in volume proceed faster under high
pressure conditions. Pectinases (Krebbers et al., 2003) and lipoxygenases (Peeters et al.,
2004) are naturally present enzymes in tomatoes that are difficult to inactivate under high
pressures and near ambient temperatures (Shook et al., 2001; Krebbers et al., 2003;
Peeters et al., 2004). Peeters et al. (2004) discovered that approximately 25%
lipoxygenase activity is retained in tomato juice treated at 500 MPa for 5 min at 20oC. On
the contrary, Krebbers et al. (2003) reported a 5.5 to 6.5 fold increase in tomato
pectinmethylesterase activity at ambient process temperatures regardless of the pressures
used (<700 MPa). Up to 36% residual polygalacturonase activity was reported under
76
same treatment conditions. The increased interaction of one or a combination of these
enzymes with their respective substrates due to decrease in activation volume (under
pressure) coupled with changes in their conformation and activity might explain some of
the degradative reactions observed at lower pressures such as 500 MPa and ambient
process temperatures. Past studies on the enzymatic and oxidative metabolites of
lycopene show that addition of lipoxygenase to lycopene solutions significantly increases
the production of lycopene metabolites (Ferreira et al., 2004). Likewise, Biacs et al.
(2000) studied the co-oxidation of carotenoids from tomato in an experimental system
containing lipoxygenase and reported approximately 25% degradation of lycopene during
a 15 min holding time. In addition, several studies have discovered the presence of
carotenoid cleavage enzymes in plants (Schwartz et al., 2001; Fleischmann et al., 2002;
Fleischmann et al., 2003) and animals (Fleischmann et al., 2002). Further studies
correlating enzyme activity to lycopene degradation and decrease in activation volume
under elevated pressure conditions are necessary to understand this phenomenon.
PATP of raw juice at 500, 600, 700 MPa and 100oC for different holding times up
to 10 min did not change the all-trans lycopene extractability from the juice (Figure
3.2b). Both PATP and thermally (0.1 MPa, 100oC for up to 10 min) processed juice
samples showed all-trans lycopene content similar to that of the raw juice and a small
increase in the cis isomers of lycopene (up to 5%) as compared to the raw juice (P<0.05).
Preheating fresh juice at 65oC for 5 min resulted in up to 8% decrease in lycopene (Figure
2b). However, this decrease did not transfer to the samples analyzed for lycopene content
after PATP, possibly due to the increased extractability of lycopene from tomato juice
after PATP.
77
Combined pressure-temperature treatment of hot break juice resulted in a minor
(up to 10%) increase in the all-trans lycopene extractability as compared to the hot break
and raw juice controls. Although small, changes in cis isomer content of processed
samples were statistically significant (P<0.05). PATP and thermally treated samples
showed marginally higher cis lycopene isomers compared to hot break juice and HPP
processed samples (Figure 3.3).
All-trans lycopene in tomato products is fairly stable during traditional thermal
processing (Nguyen and Schwartz, 1998; Lin and Chen, 2005; Nguyen and Schwartz,
1999). Furthermore, cis lycopene has been reported to be fairly stable to pressure
treatments (Qiu et al., 2006). It has been proposed that isomerization of carotenoids is a
structurally and thermodynamically specific phenomenon and thus the degradation and/or
isomerization of all-trans lycopene is governed by its structural specificity. Also, the
differences in shape of the carotenoid molecule influence its crystalline state,
hydrophobicity, solubility and other such properties which individually or in combination
might affect its stability (Nguyen et al., 2001). Lycopene, being a linear molecule, forms
multilayers or aggregates (Ray and Mishra, 1997) and the aggregated form lycopene
molecules might be able to resist further structural changes (Nguyen et al., 2001). Since
pressure is known to decrease the activation volume and compress food components, it is
possible that pressure favors the formation of compact lycopene aggregates. Cis forms of
lycopene being bent structures, formation of all-trans lycopene aggregates might prevent
its isomerization during combined pressure-heat treatments.
78
β-carotene: Raw and hot break juice samples subjected to pressure treatment at 30oC
retained 75-93% of all-trans β-carotene (Figure 3.4). PATP or TP treatment of raw juice
at 100oC better retained all-trans β-carotene than pressure treatment at 30
oC (Figure
3.4a).
PATP and thermal treatments showed similar all-trans β-carotene retention.
Under PATP and thermal conditions a typical dependency of all-trans β-carotene
retention on time was observed with higher processing times yielding lower values
(Figure 3.4b).
Among studies reported in the literature, the fate of β-carotene in processed
tomato juice is not in good agreement. Conversion of all-trans to cis form has been
reported in tomato products subjected to thermal processing at 100oC for 30 min (Nguyen
et al., 2001, Lin and Chen, 2005). However, the magnitude of these changes is quite
different between the two studies. On the contrary, no changes in the β-carotene
extractability were observed after thermal (0.1 MPa, 95oC, 60 min) and high pressure
processing (600 MPa, 20oC, 60 min) of tomato homogenate (Fernandez-Garcia et al.
2001). Based on differences in carotenoid extractability with different extraction solvents
(tetrahydrofuran vs. petroleum ether), changes in the microstructure caused by different
processing methods were suggested (Fernandez-Garcia et al. 2001). It has also been
proposed that all-trans β-carotene crystal aggregates in the Languir-Blodgett film, may
not be able to easily assemble into an ordered structure and stabilize, thus showing its
susceptibility to isomerization (Ray and Misra, 1997). In another study, a 35% increase in
all-trans β-carotene extractability was reported after 400 MPa pressure treatment at 25oC
for 15 min. and a significant increase (9%) in all-trans β-carotene extractability after
79
thermal processing at 90oC for 1 min followed by immediate freezing ( Sanchez-Moreno
et al., 2006). However, the effect of freezing on the increase in β-carotene extractability is
not clear. The results from the present study show that stability of β-carotene is
influenced by type of juice (raw vs. hot break), processing method (HPP, PATP and TP)
and the holding time under these processing conditions. Differences among different
studies could be attributed to variations in the tomato cultivars utilized, method of juice
preparation, extraction and processing (Nguyen and Schwartz, 2000)
In-vitro micellarization of carotenoids
In-vitro model to assess bioaccessibility of carotenoids involves studying the
micellarization of carotenoids from the food matrix (raw and hot break tomato juice in
this study). This approach has been shown to be a cost-effective model for screening the
bioavailability of carotenoids from foods (Garrett et al., 1999). Table 3 compares the
respective amounts of β-carotene and lycopene transferred from the tomato juice into the
digesta and subsequently into the micelles during a simulated digestion process.
Up to 16% of all-trans β-carotene got transferred from the tomato juice into the
digesta and up to 12% of that present in the juice got micellarized. In-vitro digestion of
the hot break juice showed significantly higher percentage of β-carotene in digesta and
micelles as compared to that present in the digesta and micelles of raw juice (P<0.05).
As compared to all-trans β-carotene, significantly lower (P<0.05) quantity of lycopene
got transferred into the digesta (up to 6% of that present in the tomato juice) and lesser
amount in the micelles (0.4% of that present in the juice). Also, unlike all-trans β-
carotene above, no significant difference was found between the quantity of lycopene in
80
the digesta of hot break and raw juice. Same was true for micellarized lycopene. The
results obtained are very similar to that reported by Garrett et al. (1999) who found
16±0.5% carotenes and 5.1±0.2% lycopene in the digesta respectively. Also, the amount
of lycopene in micellar form was less than 0.5% of that originally present in the meal
sample used for their study.
Effect of processing conditions on bioaccessibility of all-trans β-carotene
Significant differences were observed in the amount of all-trans β-carotene
present in the digesta prepared from raw juice processed using different techniques (TP,
PATP, and HPP). Digesta from HPP and PATP (700 MPa for 5 min at 30 and 100oC,
respectively) samples had significantly higher (P<0.05) all-trans β-carotene than the
digesta from raw juice and TP juice (0.1 MPa, 100oC for 5 min) (Table 3.3).
However, no significant difference was observed in the amount of micellarized
all-trans β-carotene in HPP, PATP and thermally processed samples. Micelles from
processed samples (HPP, PATP and thermal) had significantly higher (P<0.05) all-trans
β-carotene as compared to the raw juice (Table 3.3).
Similarly, when hot break juice was processed, no significant difference was
found in the amount of all-trans β-carotene present in the micelles obtained by in-vitro
digestion of HPP, PATP and thermally treated samples. However, the amount of all-trans
β-carotene present in micelles obtained from these samples was significantly greater than
that present in the micelles of processed raw juice (Table 3.3). Also, the %
micellarization of β-carotene ranged between 70% – 100% of that present in the digesta
81
with maximum % micellarization observed in raw juice thermally treated at 0.1 MPa,
100oC for 5 min.
Effect of processing conditions on bioaccessibility of all-trans lycopene
Lycopene content in the digesta from raw juice (control) and that processed using
HPP and thermal treatments did not show a significant difference. However, the lycopene
content in the digesta from PATP processed samples was significantly higher than the
other samples (Table 3.3). This increase however did not reflect in the amount of
micellarized lycopene, which was below 0.5% in the digesta of all samples. Likewise, the
micellarized lycopene in the digesta of hot break juice and its HPP, PATP and thermal
variants was not much different and was less than 0.5% of that present in the original
juice.
The percent micellarization of lycopene mentioned in the literature varies
depending upon the type of product, processing conditions and method of assessment.
However, one common aspect of all research on lycopene bioaccessibility is its limited
micellarization (Aherne et al., 2009; Colle et al., 2010; Reboul et al., 2006; Huo et al.,
2007; Goni et al., 2006; Garrett et al., 1999). High pressure homogenization of tomato
juice can negatively impact the bioaccessibility of lycopene from tomato juice. This
negative impact on lycopene bioaccessibility was found to increase with an increase in
the homogenization pressure (Colle et al., 2010). Also, high pressure homogenization
followed by thermal processing at 90oC for 30 min negatively affected the in-vitro
micellarization of lycopene. Based on these results the authors hypothesized that fibrous
network formed during homogenization made lycopene less accessible to digestive
82
enzymes and bile salts. Subsequent thermal processing was not sufficient to break the
network and could not make lycopene more bioaccessible (Colle et al., 2010). It was
further reported that bioaccessibility of carotenoids was dependent on three prime factors
viz. type of carotenoid, food matrix and method of processing (Reboul et al., 2006). A
good correlation was found between the in-vitro bioaccessibility data, human-derived
bioaccessibility data and mean bioavailability data reported in studies involving healthy
humans. In-vitro digestibility studies on raw and processed tomatoes showed that
micellarization of lycopene increased from 0.1% (raw tomatoes) to 1.60% (processed
tomatoes) and that of β-carotene increased from <0.1% (raw tomatoes) to 5.97%
(processed tomatoes) (Reboul et al., 2006). The chain length of the fatty acids (added to
the test meal (salad puree) during in-vitro digestion) also influenced the micellarization of
carotenoids. It was found that regardless of their degree of unsaturation, increasing the
chain length of fatty acids (added to the salad puree during in-vitro digestion) increased
the in-vitro bioaccessibility of carotenoids. Up to 5.6% micellarization of lycopene was
reported with the addition of 2.5% c18:2 triglycerides during in-vitro digestion (Huo et
al., 2007). In addition to variations during processing and assessment, the geographical
origin of a cultivar can affect the bioaccessibility of its carotenoids. Aherne et al. (2009)
recently reported a greater impact of geographical location on the carotenoid content of
tomatoes and their bioaccessibility than the differences in the variety. 4 different Irish
tomato varieties with their corresponding Spanish counterparts were studied for
micellarization of β-carotene, lutein and lycopene. The micellarization of β-carotene in
Spanish varieties was distinctly higher than the corresponding Irish varieties and up to
5% micellarization was noted. However, a mixed effect of tomato variety and
83
geographical location was reported on lycopene micellarization, which ranged between
0.2-0.8% in Irish varieties and between 0.1-1.3% in Spanish varieties. No specific
correlation was found between the amounts of lycopene and β-carotene originally present
in the tomatoes and their amounts present in the micelles. Attempts to significantly
increase the micellarization of carotenoids (than what is typically observed in processed
samples) have shown that extreme processing conditions (stir frying tomato paste with
fresh vegetables and oil at 177oC, 4 min) are capable of increasing lycopene
bioaccessibility (Garrett et al., 1999). On the contrary, milder processing conditions, like
those observed in emerging technologies such as combined pressure-temperature
processing have a distinct advantage of improving the product quality and preserving
sensitive nutrients (Verlent et al., 2006; Krebbers et al., 2003; Gupta et al., 2010, Hsu et
al., 2008; Garcia et al., 2001). It has been previously reported that combined P-T
processing of tomato products results in excellent consistency (Verlent et al., 2006),
viscosity, improved water binding capacity (Krebbers et al., 2003) and better color
retention (Gupta et al., 2010; Krebbers et al., 2003) as compared to the thermally
processed samples. Likewise, the vitamin C content and antioxidant activity of combined
P-T processed products is very well retained and is close to the fresh control (Fernandez-
Garcia et al., 2001; Sanchez-Moreno et al., 2009). Combined P-T processing has been
found to produce a shelf stable tomato juice with a holding time of 10 min at pressures
above 600 MPa and temperature ≥ 45oC (Gupta et al., 2010). However, holding times
commercially used to achieve shelf stability of tomato juice are significantly more (up to
35 min at 100oC; Barringer et al., 2004) than that used in this study (10 min at 100
oC).
Longer processing time would obviously lead to adverse effects on nutrients and quality.
84
Microscopic changes in tomato juice due to combined pressure-heat processing
Both raw and hot break tomato juice processed using combined pressure-
temperature treatments were observed microscopically for changes in the microstructure
(Figure 3.5). Freshly extracted raw juice (Figure 3.5) showed distinct cellular
components including chromoplasts dispersed in the cytoplasm. HPP (700 MPa, 30oC, 10
min) treated juice showed closer resemblance to the control untreated juice. A denser
matrix with less resolution between cell components was observed. On the other hand,
thermal processing (0.1 MPa, 100oC, 10 min) showed a continuous matrix with little or
no resemblance to the control juice and indistinguishable cellular components. PATP
(700 MPa, 100oC, 10 min) showed the characteristics of both HPP and thermally
processed juices. Differences between the juice matrix of all 4 types of juices is evident.
Unprocessed hot break juice showed a more continuous network with no
separation of phases (data not shown). HPP and PATP processed hot break juice sample
shows a matrix different than that observed in unprocessed hot break juice. However,
thermally processed sample shows little or no matrix with indistinguishable cellular
components.
Carotenoid biosynthesis and development of carotenoid bearing structures begin
during ripening of tomato tissue and maturation of chromoplasts (Ljubesic et al., 1991).
A rapid increase in lycopene and its subsequent accumulation results in crystallization
(Bathgate et al., 1985) and these crystals remain enveloped by a membrane in the
chromoplast. Likewise, β-carotene crystals too are enveloped by a membrane. However,
the membrane that envelopes β-carotene crystals has been suggested to be different than
85
the one that envelopes lycopene (Rosso et al., 1968). Although processing conditions are
sufficiently rigorous in disrupting cell walls and organelles, from the electron
micrographs (Figure 3.6) it can be seen that lycopene and β- carotene remain enveloped
even after combined pressure-temperature processing. Similar findings with thermal
processing only have been reported by Nguyen et al. (2001). Whereas β-carotene is
associated with plastoglobulin-type structures and get dissolved in the lipid material of
the globules, lycopene is present as crystal deposits and associated with the thylakaloid
membrane (Rosso et al., 1968; Ben-Shaul et al., 1969; Mohr et al., 1979).
It can be seen from Figure 3.6 that changes in the microstructure due to different
processing conditions did not necessarily affect the crystals of lycopene. The dispersion
of lycopene crystals in the matrix is evident regardless of the processing method used,
although it is worth nothing the prominently strong contrast of lycopene crystals in HPP
and PATP processed samples as against thermally processed samples. Increased lycopene
extractability experienced in case of HPP and PATP of tomato juice could be correlated
to the differences in tomato juice matrix observed in microscopic images (Figure 3.6).
However, the resistance of lycopene from processed samples to micellarization can be
attributed to the subsistence of its native enveloped crystalline form even after processing
(Figure 3.6).
3.5 Conclusions
This study suggests that the type of juice (raw juice vs. hot break juice) has a
significant impact on the stability of carotenoids in the processed juice. Combined
pressure-temperature processing (HPP, 700 MPa, 30oC; PATP, 500-700 MPa, 100
oC)
86
increased the extractability of lycopene from the tomato juice (both raw and hot break)
whereas thermal processing (TP, 0.1 MPa, 100oC) had negligible effect on its stability.
On the other hand, β- carotene degradation was dependent on the processing temperature,
processing time, processing pressure and type of juice (raw vs. hot break). In general,
increasing the holding time during PATP (500-700 MPa, 100oC) and TP (0.1 MPa,
100oC) had an adverse effect on β- carotene content of the juice. Bioaccessibility of
lycopene was limited regardless of the processing method used and apparently the
treatments were not severe enough to solubilize the lycopene crystals and facilitate its
micellarization. However, β- carotene showed better micellarization and processing
(HPP, PATP and TP) further improved its micellarization. Based on the results of this
study and studies on quality of tomato juice reported in the literature, combined pressure-
temperature processing poses a promising alternative for producing good quality tomato
products.
Acknowledgements
Support for this research was provided by USDA-CSREES-NRICGP grant 2006-
35503-17571, by the Ohio Agricultural Research and Development Center (OARDC),
and by The Ohio State University. References to commercial products or trade names are
made with the understanding that no endorsement or discrimination by The Ohio State
University is implied.
87
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93
Table 3.1 Selected attributes of fresh raw juice and hot break juice obtained from Roma
tomatoes.
oBrix
(%TSSb)
pH Lycopene contenta
mg/100g juice
Total
lycopenea
mg/100g
juice
All-trans β
carotenea
(%of fresh
juice)
All-trans
mg/100g
Cis
mg/100g
Fresh
Juice
5.1 4.45 6.86±0.26 0.44±0.01 7.3±0.27 100±1.31
Hot break
juice
5.3 4.44 6.54±0.420 0.55±0.02 7.09±0.44 81.94±2.46
a Values are mean±SD of three replicates. b Percent total soluble solids present in the
juice.
94
Table 3.2 Temperature histories at different stages of high pressure processing (HPP; 500, 600 and 700 MPa at 30oC) pressure-
assisted thermal processing (PATP; 500, 600 and 700 MPa at 100oC) and thermal processing (TP; 0.1MPa at 100
oC) of tomato juice
samples.
Treatment
Processing
Pressure
(MPa)
Processing
time
(s)
Temperature at different stages during processing (oC)
Time required at different
stages of preprocessing (s)
Preprocess
(T1)
Immediately
before
pressurization
(T2)
Immediately
after
pressurization
(T3)
holding
(T3-T4)
Depressurization
(T5)
Preprocess
(t1)
come up
time
(t2)
HPP
30oC
500 0 2.0±1 13.9±0.5 28.9±1.2 30.0±0.6 17.1±0.8 329±5 23±1
600 2.0±1 13.9±0.5 28.9±1.2 30.0±0.6 17.1±0.8 329±5 23±1
600 0 2.0±1 10.1±0.6 28.2±1.1 30.3±0.4 15.2±0.6 329±5 30±1
600 2.0±1 10.3±0.6 28.2±1.1 30.3±0.4 15.2±0.6 329±5 30±1
700 0 2.0±1 7.3±0.5 29.3±0.9 30.6±0.6 13.9±0.5 329±5 35±2
600 2.0±1 7.3±0.5 29.3±0.9 30.6±0.6 13.9±0.5 329±5 35±2
PATP
100oC
500 0 72.0±0.4 78.0±0.5 99.6±0.7 100.4±0.7 79.6±0.9 329±5 23±1
600 72.0±0.4 78.0±0.5 99.6±0.7 100.4±0.7 79.6±0.9 329±5 23±1
600 0 68.0±0.5 72.0±0.6 100.4±0.5 100.1±0.6 74.9±0.8 329±5 30±1
600 68.0±0.5 72.0±0.6 100.4±0.5 100.1±0.6 74.9±0.8 329±5 30±1
700 0 65.0±0.4 68.8±0.8 99.2±0.8 100.3±0.4 73.1±1.5 329±5 35±2
600 65.0±0.4 68.8±0.8 99.2±0.8 100.3±0.4 73.1±1.5 329±5 35±2
TP
100oC
0.1 0 21.7±0.3 --- --- 100.0±0.1 --- --- 73±3
0.1 600 21.7±0.3 --- --- 99.9±0.2 --- --- 73±3
94
95
Table 3.3 Percent lycopene and β-carotene from tomato juice transferred to the digesta and
micelles during in-vitro bio-accessibility studies.
Treatment
Concentration µg/100 g juice
Lycopene β-carotene
Digesta
Micelles
Digesta
Micelles
Raw juice
Control1
321.5±38.1 25.4±1.8 35.0±2.6 25.2±1.3
HPP2
307.4±24.5 27.3±2.2 42.2±2.1 30.0±2.1
Preheat3
257.9±10.7 22.8±1.3 29.2±2.5 25.6±2.2
PATP4
442.6±51.9 27.2±1.6 45.4±1.6 31.0±2.9
TP5
274.1±16.3 26.7±1.2 34.3±1.1 33.9±1.4
Hot break juice
Control1
370.8±6.1 21.4±0.1 44.4±2.4 35.9±0.9
HPP2
300.9±41.9 24.3±0.3 45.4±0.3 37.5±0.4
Preheat3
348.2±17.7 24.9±0.8 42.9±0.7 33.5±0.4
PATP4
386.4±15.0 23.8±0.2 48.7±0.4 36.1±0.3
TP5
366.2±3.3 26.2±0.2 46.3±0.3 37.9±0.6
Values are represented as mean ± SD of 5 replicates.
1 Respective unprocessed raw juice and hot break (~93
oC, 60 sec) juice
2 High pressure processed (HPP) juice (700 MPa, 30
oC, 5 min)
3 Preheated for PATP processing (0.1 MPa, 65
oC, 5 min)
4Pressure assisted thermally processed (PATP) juice (700 MPa, 100
oC, 5 min)
5Thermally processed (TP) juice (0.1MPa, 100
oC, 5 min)
96
Figure 3.1 Flowchart outlining the steps involved in the experiment.
Lycopene extraction
followed by High
Performance Liquid
Chromatography
Light Microscopy
Electron microscopy
Bioaccessibility
studies
Data analysis
High pressure
processing
(500, 600 and 700
MPa), 30oC for
0,3,5 and 10 min.
Pressure assisted
thermal processing
(500, 600 and 700
MPa), 100oC for
0,3,5 and 10 min.
Thermal processing
(0.1 MPa, 100 oC for
0,3,5 and 10 min)
Fresh, ripe, Roma
tomatoes
Raw Juice Hot break juice
(93.3oC 60 sec)
97
Figure 3.2 Lycopene retention (▒) all-trans lycopene, (▓) cis lycopene) in fresh raw
tomato juice subjected to (a) high pressure processing (500-700 MPa, 30oC for 0, 3, 5 and
10 min) (b) pressure assisted thermal processing (500-700 MPa, 100oC for 0, 3, 5 and 10
min) and thermal processing (0.1 MPa, 100oC for 0, 3, 5 and 10 min). Values are mean ±
SD of 3 replicates.
a
Continued
98
Different letters above the bars indicate significant differences in the total lycopene
content (P<0.05).
b
Figure 3.2 continued
99
Figure 3.3 Lycopene retention (▒) all-trans lycopene, (▓) cis lycopene) in hot break
tomato juice subjected to combined pressure-temperature processing; HPP (500-700
MPa, 30oC for 0, 3, 5 and 10 min), PATP (500-700 MPa, 100
oC for 0, 3, 5 and 10 min)
and TP (0.1 MPa, 100oC for 0, 3, 5 and 10 min). Values are represented as mean ± SD of
3 replicates. Different letters above the bars indicate significant differences in the total
lycopene content (P<0.05).
100
Figure 3.4 Percent all-trans β-carotene retention in raw (a) and hot break (b) tomato juice
after combined pressure-heat processing; HPP (500-700 MPa, 30oC for 0, 3, 5 and 10
min), PATP (500-700 MPa, 100oC for 0, 3, 5 and 10 min) and TP (0.1 MPa, 100
oC for 0,
3, 5 and 10 min). Values are represented as mean ± SD of 3 replicates. Different letters
above the bars indicate significant differences in β-carotene levels (P<0.05).
a
Continued
102
Figure 3.5 Representative light microscopic images (using 100 X oil immersion
objectives) of raw tomato juice samples processed using combined pressure-temperature
treatments; HPP (500-700 MPa, 30oC for 0, 3, 5 and 10 min), PATP (500-700 MPa,
100oC for 0, 3, 5 and 10 min) and TP (0.1 MPa, 100
oC for 0, 3, 5 and 10 min).
Chromoplast Distinct organelles freely
suspended in the juice matrix
Distinct organelles in matrix closely
resembling the raw juice
Disrupted dense matrix with hard to
distinguish organelles
Partially disrupted matrix with some
distinct organelles Distinct organelles in matrix closely
resembling the raw juice
103
Figure 3.6 Representative electron microscopic images of hot break tomato juice samples processed using
combined pressure-temperature treatments; HPP (500-700 MPa, 30oC for 0, 3, 5 and 10 min), PATP (500-
700 MPa, 100oC for 0, 3, 5 and 10 min) and TP (0.1 MPa, 100
oC for 0, 3, 5 and 10 min).
Dense Plastoglobulin-type
sacs with β-carotene Dense Lycopene crystals
Extremely prominent and denser
carotenoid containing structures with
distinct boundaries
Prominent and dense carotenoid structures dispersed in
the cytoplasm with signs of solubilization
Low density dispersed carotenoid containing
organelles with signs of solubilization
104
CHAPTER 4: STORAGE STABILITY OF LYCOPENE IN TOMATO JUICE
SUJBECTED TO COMBINED PRESSURE-HEAT COMBINATIONS
Abstract
A study was conducted to characterize the storage stability of lycopene in hot-
break tomato juice prepared from two different cultivars and processed by various
pressure−heat combinations. Samples were subjected to pressure assisted thermal
processing (PATP; 600 MPa, 100°C, 10 min), high pressure processing (HPP; 700 MPa,
45°C, 10 min), and thermal processing (TP; 0.1 MPa, 100°C, 35 min). Processed samples
were stored at 4, 25, and 37°C for up to 52 weeks. HPP and PATP treatments
significantly improved the extractability of lycopene over TP and control. All-trans
lycopene was found to be fairly stable to isomerization during processing, and the cis
isomer content of the control and processed juice did not differ significantly. During
storage, lycopene degradation varied as a function of the cultivar, processing method,
storage temperature, and time. This study shows that combined pressure−temperature
treatments could be an attractive alternative to thermal sterilization for preserving tomato
juice quality.
105
4.1 Introduction
A large portion of lycopene in the North American and European diet comes from
the consumption of tomato and tomato products (Clinton, 1998). Many epidemiological
studies suggest the consumption of carotenoid rich foods such as tomato products reduces
the risk of developing diseases such as cancer and cardiovascular diseases (Gann et al.,
1999; Sesso et al., 2005; Sesso et al., 2003; Bruno et al., 2007). With increased consumer
demand for healthy foods, studying the fate of lycopene subjected to various preservation
methods has gained interest (Henry et al., 2000; Oms-Oliua et al., 2009; Odriozola-
Serranoa, 2008).
Lycopene (C40H56) is a carotenoid that occurs in the form of all-trans and cis
isomers in red tomatoes. Red tomatoes normally contain 94-96% all-trans lycopene,
which is thermodynamically most stable form (Porrini et al., 1998). However, lycopene
from heat-induced cis-isomer-rich tomato sauce is reportedly more bioavailable than
from all-trans-rich tomato sauce (Unlu et al., 2007). Also, human plasma and tissues
have been shown to contain 40-80% cis isomers (all-trans, 5-cis, 9-cis, 13-cis, and 15-cis
being the most common isomers) (Clinton et al., 1996).
Lycopene in tomato and tomato products exposed to traditional thermal
treatments is fairly stable during processing (Nguyen and Schwartz, 1998). However, the
magnitude of lycopene degradation during storage reported in the literature varies greatly
and is influenced by temperature, water activity, presence or absence of light and oxygen
(Shi and Le Maguer, 2000; Xianquan et al., 2005). Inter-conversions between all-trans
106
and cis forms of lycopene in thermally treated tomato juice have also been reported (Lin
and Chen, 2005).
Due to consumer interest in health, wellness, flavor, and freshness, the food
industry is exploring alternative minimal processing approaches such as high pressure
processing (Balasubramaniam and Farkas, 2008). High pressure studies on tomato juice
and/or tomato puree show an increase in the amount of extractable lycopene over
untreated or thermally processed juices (Sanchez-Moreno et al., 2006; Krebbers et al.,
2003; Hsu et al., 2008). Pressure treated tomato puree samples better retain color over
thermally pasteurized and sterilized samples (Sanchez-Moreno et al., 2006; Krebbers et
al., 2003). Hsu et al. (2008) studied the fate of lycopene in hot break tomato juice
extracted from red daydream tomatoes. The hot break tomato juice was processed using
high pressure processing (HPP) (300-500 MPa, 25 °C, 10 min) and heat treatment (98 °C,
15 min) and stored at 4 °C for 28 days. Pressure treatment increased the lycopene
extractability from tomato juice relative to control or thermally treated juice, and
improved its storage stability. In another study, Qiu et al. (2006) pressure treated tomato
puree at 100-600 MPa, 20±1 °C for 12 min and studied the degradation and isomerization
of lycopene at 4±1 °C and 24±1° C for a period of 28 days. Pressure treatment increased
the extractable lycopene content and retained its stability during storage. However
microbiological stability of the product was not reported. Most of the current storage
studies are limited to less than 30 day duration and the stability of pressure treated tomato
juice during an extended storage period is not known. Also the storage stability of
107
lycopene in pressure assisted thermally processed (500-700 MPa, 90-120 ° C) tomato
juice has not been studied.
4.2 Objectives
The objective of this study was to investigate the storage stability of lycopene in
tomato juice stored up to 52 weeks. Juice from two tomato cultivars that differed in
lycopene content was processed using thermal processing, pressure assisted thermal
processing, and high pressure processing. Samples were subsequently stored at
temperatures of 4, 25 and 37°C. Product was evaluated on the basis of color, lycopene
isomer profile, and microbial stability.
4.3 Materials and methods
Two fully ripe tomato (Solanum lycopersicum L.) cultivars; high lycopene FG99-
218 (Old gold crimson ogc homozygous; dark green (dg) homozygous) and commercial
variety OX325 (Old gold crimson ogc homozygous; alcabaca (alc) heterozgygous) were
freshly harvested from the North Central Agricultural Research Center, Fremont, OH and
transported to the processing pilot plant in Columbus, OH (~ 2 hour travel). The initial
quality attributes of the raw tomato product are summarized in Table 4.1. It is worth
noting that FG99-218 (high lycopene) had nearly twice the amount of total lycopene than
that of OX325 and had higher “a” values on the CIE color scale.
4.3.1 Tomato juice processing
The tomatoes were washed and juice was extracted within 48 hours of harvesting
the tomatoes. The juice was extracted using hot break process (91±2°C) employing a
108
pilot scale tomato juice extraction system consisting of a tomato crusher (W.J. Fitzpatrick
co. Chicago, IL), concentric tube heat exchanger, and a screw type tomato juice extractor
(Chisholm Ryder Co., CJE-350 D-28). The juice was collected and cooled to 20±1 °C.
The juice was immediately vacuum packaged (Spiromac vacuum sealer, model 450 T,
Québec, Canada) in polypropylene pouches (Thomson Equipment and Supply, Cincinnati,
OH). Each pouch contained 50±3 g tomato juice. The pouches were stored in a walk-in
refrigerator (4±0.5°C) under dark. The stored tomato juice samples were subjected to
various pressure-heat treatments (see following sections for details) within 2-days of
juice extraction. Unprocessed hot break juice was also used as control to compare the
effect of various processing conditions on juice quality attributes during storage.
Selected quality attributes of the hot-break juice are summarized in Table 4.1.
4.3.2 High pressure processing
The tomato juice samples were high pressure processed using 5 liter sample
holding capacity, pilot scale high pressure machine (Iso-lab high pressure food processor,
Stansted Fluid Power Ltd, Essex, UK). Pressurization and depressurization rates of ~5.3
MPa/s and ~8.3 MPa/s were used. 100 % propylene glycol (Brenntag Midsouth Inc.,
Henderson, KY) was used as the pressure transmitting fluid. The samples (pre-
conditioned at an initial temperature of 20°C) were high pressure processed (700 MPa, 45
°C for 10 min). Sample temperature under high pressure conditions were monitored using
T-type thermocouples (Omega Engineering, Stamford CT). The thermocouple was fed
through the pouch using a C-5.2 stuffing box (Ecklund-Harrison Technologies, Fort
109
Myers, FL). After processing, the samples were immediately withdrawn and stored at
different temperatures.
4.3.3 Pressure-assisted thermal processing
For processing tomato juice using pressure-assisted thermal processing, the
tomato juice samples were first preheated to an initial temperature of 80°C in a water
bath (Fisher Scientific, Pittsburgh, PA). Similarly the initial temperature of glycol was
also adjusted to 80°C. The preheated samples were loaded into a stainless steel sample
holder and then loaded inside a pressure chamber preheated to 105°C. Samples were
pressure treated at 600 MPa, 100 °C for 10 min. The equipment had a pressurization time
of <140 s. More details of the experimental techniques used are provided elsewhere
(Nguyen et al., 2010). After processing, the samples were depressurized (< 30 s),
withdrawn from the pressure chamber, and immediately cooled in an ice–water mixture
and analyzed within 1 day after the treatment.
4.3.4 Thermal sterilization
Boiling water in a steam jacketed kettle was used for thermal sterilization (100°C,
35 min) of vacuum packaged tomato juice (Barringer, 2004). The temperature was
monitored using a K-type thermocouple (Omega Engineering) and recorded using a data
logger (IOtech, Cleveland, OH). The thermocouple was located at the geometric center of
the pouch containing the tomato juice. After processing, the samples were immediately
cooled in ice-water bath and transferred for storage at the 3 respective temperatures.
4.3.5 Storage of processed and control samples
110
The processed samples and control were immediately stored in the dark at three
different temperatures (4±0.5°C, 24±1°C and 36±1°C) and analyzed for lycopene
content, color, pH, total soluble solids and microbial stability after 0, 2, 5, 15, 35 and 52
weeks of storage.
4.3.6 Analysis
4.3.6.1 Lycopene extraction
Lycopene was extracted from tomato juice using a method reported by Ferruzzi et
al. (Ferruzzi et al., 1998). Briefly, tomato juice (5 g) was mixed with 4 g celite and 1 g
calcium carbonate. 50 ml methanol was added and the mixture was homogenized at
10,000 RPM for 1 min. Carotenoids were extracted three times with 25 mL HPLC grade
hexane/acetone (1:1 v/v) (Fisher Scientific, USA). The combined hexane layer was
collected quantitatively after filtering through anhydrous sodium sulfate and the volume
was made to 100 mL using HPLC grade hexane. 2ml aliquots were dried under nitrogen,
reconstituted in methyl tert-butyl ether (MTBE)/ methanol (1:1 v/v) (HPLC grade, Fisher
scientific, USA), filtered through 0.2 µm 13 mm nylon syringe filter and 50 µL was
injected in the HPLC (Agilent technologies, Model HP 1050) equipped with Waters 996
Photodiodearray (PDA) detector. The mixture was separated on a Waters YMC C30
HPLC column (4.5 mm x150 mm, 5 μm particle size). Separations were achieved using
gradient elution with different concentrations of methanol: MTBE: 2% aq. ammonium
acetate in reservoirs A (88:5:7) and B (20:78:2). The following gradient was used: at 0
min 0% B, linear gradient to 85% B over 20 min, followed by a linear gradient to 100%
B over 10 min, returning to 0% B and holding for 5 min.
111
Isomerization of the lycopene standard was performed in hexane by adding iodine
catalyst at a concentration of about 1% (w/w) of the lycopene weight and allowing the
mixture to sit for 15 min in fluorescent light of luminance 320 lux (lumens/m2). HPLC
analysis was then performed on the isomerized sample (Figure 4.1). Lycopene isomers in
tomato juice were identified by comparing chromatograms of tomato juice with the
chromatograms of isomerized lycopene standard.
To quantify lycopene in tomato juice samples, a calibration curve was generated
using authentic all-trans lycopene standard. Levels of cis lycopene isomers are given in
all-trans lycopene equivalents.
4.3.6.2 Colorimetry
Color of tomato juice samples was measured using a tristimulus colorimeter (CR-
300, Minolta, Osaka, Japan). A standard white tile (Y = 92.6, X = 0.3161, y = 0.3321)
was used to calibrate the instrument. The juice samples were placed in a glass petri dish
on top of the light source (15mm aperture) and L, a, and b values were directly obtained
from the colorimeter. Each measurement reported represents the average of 3 readings. L
represents lightness, +a represents redness, –a represents greenness, +b represents
yellowness, and –b represents blueness. The overall change in color (ΔE) was calculated
by the following equation (Avila and Silva, 1999):
ΔE = ………………………………………………………….(1)
4.3.6.3 Aerobic plate count (bacterial growth)
112
Aerobic plate counts of the processed and control tomato juice samples were
taken after 0, 2, 5, 15, 35 and 52 weeks of storage at 4, 24 and 37oC. Tomato juice (10 g)
from the vacuum sealed pouches was aseptically transferred in stomacher bags, and 90
mL sterile peptone water was aseptically added to each bag. The samples were
homogenized in a stomacher (Seward Lab Stomacher, Norfolk, UK) for 2 min. 1 mL
homogenized sample was then aseptically transferred to the tubes containing 9 mL sterile
peptone water and serial dilutions were spread plated on trypticase soy agar (TSA) plates.
After incubation at 37oC for 48 and 72 hrs, the viable count of microorganisms was
enumerated. Colonies were counted with a dark-field Quebec colony counter (Leica
Microsystems, Richmond Hill, Canada). The detection limit for the enumeration
procedure was 100 CFU per mL.
4.3.6.4 Total soluble solids (0Brix) and pH
Total soluble solids (%) and pH of the raw tomatoes, and the juice was measured
using Atago Digital Handheld Pocket Refractometer (Cole-Parmer Instrument Company,
Vernon Hills, IL) and portable handheld pH meter (Omega Engineering), respectively.
4.3.6.5 Statistical data analysis
Data was analyzed with Minitab software, version 14.1 (Minitab, State College,
PA). The influence of storage temperature (T – 4, 25 and 37 °C), storage time (t –
0,2,5,15,35 and 52 weeks), cultivar (FG99-218 or OX325), treatment (HPP, PATP or TP)
as well as their interactions on the concentration of lycopene (Y) in tomato juice were
113
analyzed. Pairwise comparisons for the means of treatment and storage variables (factors)
were evaluated with Tukey’s test at 5% significance level (P<0.05).
4.3.6.6 Kinetic modeling
The degradation of lycopene as influenced by storage temperature, time, and
processing methods was modeled using two first order rate equations (Fish and Davis,
2003).
……………………………………………………..(2)
where Ct is the lycopene concentration in mg/100 g tomato juice at time t weeks, C0 is the
initial concentration of lycopene in the respective sample at week 0, S1 and S2 are
constants for each process proportional to the lycopene degradation under respective
processing and storage conditions, k1 and k2 are the rate constants for each of the two
first-order processes involved in lycopene degradation.
4.4 Results and discussion
Effect of hot break juice extraction on lycopene
Hot break extraction process at 91±2°C was used to extract tomato juice in order
to minimize the undesirable effects of pectin degrading enzymes on the consistency of
tomato juice and extractability of lycopene. Hot break treatment of crushed tomatoes is
sufficient to completely inactivate pectin methyl esterase and retains approximately 4 %
polygalacturonase activity (Luh and Daoud, 1971). Extraction of juice from both FG99-
218 and OX325 did not significantly affect the total lycopene (all-trans + cis lycopene)
114
content of the juice. However, a significant increase in the cis isomer of lycopene was
observed in juices extracted from both cultivars. This was accompanied by a slight
decrease in the redness of the juice as shown by the “a” color value (Table 4.1). Cis
isomers of lycopene have been reported to have different physio-chemical characteristics
than the all-trans isomers including decrease in the color intensity of the tomato juice
(Nguyen and Schwartz, 1999). Although lycopene has been shown to be fairly stable to
isomerization reactions in tomato products exposed to conventional thermal processing
(Nguyen and Schwartz, 1998), presence of heat, light, oxygen and/or their combinations
during processing does influence the fate of lycopene isomers (Nguyen and Schwartz,
1999).
Combined pressure-heat treatment effects on lycopene stability
The initial temperature of HPP processed samples was approximately 20°C. The
maximum and average process temperatures at target pressure (700 MPa) over 10 min
pressure holding time were 47.0 and 45.7±0.56°C respectively. The maximum and
average process temperatures of the preheated juice (~80 °C) during 10 min PATP
holding time were 104.0°C and 101±0.87°C, respectively. Thermally processed samples
were maintained at 100°C, 0.1 MPa, for 35 min.
HPP (700 MPa, 45 °C, 10 min) and PATP (600 MPa, 100°C, 10 min) increased
the extractable all-trans lycopene in the high lycopene cultivar FG99-218 by 12% and
7% respectively over the unprocessed hot break juice that served as control. However, the
all-trans lycopene in thermally sterilized samples of FG99-218 was approximately the
same as that of the control (Table 4.1). The cis lycopene isomer content in HPP, PATP,
115
TP treated samples as well as the hot break juice (control) did not show significant
differences (p < 0.05) and constituted approximately 8% of the total lycopene in
processed and control samples (Table 4.1).
Similarly, the extractable all-trans lycopene in OX325 increased by
approximately 8% for HPP samples (700 MPa, 45°C, 10 min) but showed insignificant
change for PATP (600 MPa, 100oC, 10 min) samples. Thermally sterilized samples had a
19% decrease in all-trans extractable lycopene (Table 4.1). The cis isomers of HPP,
PATP, TP treated samples and the control varied between 12-16% of the total lycopene
(Table 4.1). It was also worth noting that OX325 had 70% less all-trans isomer than
FG99-218, the high lycopene variety. The differences in lycopene extractability from
tomato juice exposed to similar process treatments could be attributed to cultivar specific
differences. Earlier researchers have also reported increase in the lycopene extractability
from pressure treated tomato products (Sanchez-Moreno et al., 2006; Krebbers et al.,
2003; Hsu et al., 2008). However, the extent to which lycopene extractability increased in
various published studies differs greatly. For example, Krebbers et al. (2003) applied
various pressure-temperature-time combinations (300-500 MPa, 20°C, 2 min and 700
MPa, 80 and 90°C for 30 sec) and reported that tomato puree processed at 500 MPa at 20
°C for 2 min had a significant increase in lycopene extractability (~27%) than raw juice
samples. Similarly, Sanchez-Moreno et al. (2006) processed tomato puree at 400 MPa,
25°C for 15 min and reported ~48% increase in lycopene extractability as compared to
the raw unprocessed puree. Hsu et al. (2008) processed tomato juice at 300-500 MPa,
25°C for 10 min and reported a progressive increase in lycopene extractability with
116
increase in pressure. A maximum 60% lycopene extractability was reported in samples
processed at 500 MPa, 25 °C for 10 min. The differences in magnitude of lycopene
extractability among various studies may be due to the differences in the type of tomato
cultivars used, sample preparation method, type of sample used (juice, pulp, puree, etc.),
hot break vs. cold break juice extraction, and high pressure process parameters. Since
pressure-temperature treatments are known to affect membranes in vegetable cells (Shi
and Le Maguer, 2000)
and also macromolecular structures such as proteins and
carbohydrates (Butz and Tauscher, 2002), such treatments may increase lycopene
extractability. We hypothesize that increased extractability could lead to increased
bioavailability of lycopene. Research has shown that all-trans lycopene in tomato
products is fairly stable during traditional thermal processing (Nguyen and Schwartz,
1998; Nguyen and Schwartz, 1999; Lin and Chen, 2005). It has been further reported
that cis lycopene is fairly stable to pressure treatments (Qiu et al., 2006). Since
isomerization is a structurally and thermodynamically specific phenomenon, studies on
the thermodynamic effects of combined pressure-heat treatments on lycopene might be
able to explain its stability to isomerization under such processing conditions. Also, the
stability of all-trans form to degradation and or isomerization is governed by its structural
specificity. The differences in shape of the carotenoid molecule influence hydrophobicity,
crystalline state and ease of crystal formation, solubility and other such properties which
in turn might influence its stability (Nguyen et al., 2001). Lycopene is a linear molecule
and has been shown to form multilayers or aggregates (Ray and Misra, 1997) and it is
proposed that once in the aggregated form, lycopene molecules might be able to resist
further structural changes (Nguyen et al., 2001).
117
Microbial stability of the processed samples
All samples processed using HPP, PATP and TP showed microbial stability over
a storage period of 52 weeks at all three storage temperatures (4, 25 and 37°C). Control
samples stored at 25 and 37°C showed spoilage within 2 weeks (data not shown). Due to
microbial stability of HPP, PATP and TP samples, the pH and total soluble solids of the
stored samples did not show a significant change over the storage period (p<0.05).
Storage effects on lycopene stability
Figures 4.2-4.3 present the storage stability of lycopene in tomato juice subjected
to HPP, PATP, TP treatments and stored at three different storage temperatures (4, 25,
37oC) up to 52 weeks. In general, lycopene from both cultivars was fairly stable to
degradation and isomerization over the course of storage period. For cultivar FG99-218
(high lycopene, 14.65±0.66 mg lycopene/100 g tomato juice), both storage temperature
and storage time significantly influenced lycopene degradation (P<0.05). In cultivar
OX325 with lower lycopene content (8.84 ±0.22 mg lycopene/100 g tomato juice),
lycopene degradation was primarily influenced by storage time, but storage temperature
did show a statistically significant effect on lycopene degradation during storage (P <
0.05). Decrease in the concentration of cis isomers was more pronounced at 25 °C storage
for both cultivars. The present study did not consider the influence of barrier properties of
the packaging material on storage stability of the treated juice and further research is
needed to understand the role of packaging on the stability of processed samples.
Changes in tomato juice color during storage
118
Changes in color values (ΔE) of the processed and control samples over the
course of 52 weeks of storage at 4, 25, and 37°C storage temperatures are shown in
Figures 4.4-4.5. In comparison to the control sample at day zero, all the processed (TP,
HPP, PATP) samples changed color as a function of storage temperature and time.
Among the treatments, HPP samples had better color retention, while TP samples had
most color changes. PATP samples had intermediate color loss and the degradation was
also influenced by the cultivar type. In addition to increased lycopene extractability,
better retention of natural color may be an added benefit of PATP over conventional
thermal sterilization.
Since conversion of trans to cis involves decrease in the intensity of red color
(Zechmeister and Polgar, 1944) and lycopene degradation might influence color changes,
an attempt was made to correlate color changes to changes in lycopene. With few
exceptions, the changes in color values (ΔE) as a function of lycopene degradation were
fairly linear with regression coefficient values greater than 0.85 (R2 > 0.85). Earlier
studies (Krebbers et al., 2003) reported little dependence of changes in lycopene
concentration and L, a, b color values in samples subjected to thermal and combined
pressure-temperature treatments.
Kinetic modeling of lycopene degradation
The plots of lycopene content vs. storage time show that lycopene degraded
rapidly during the first few weeks of storage (weeks 0-5) and then approached a more
linear asymptotic form during subsequent storage period (Figures 4.2-4.3). The kinetic
data for degradation of lycopene during storage could not be fitted with zero, first or
119
second order rate equations. However, for tomato juice exposed to each of the variables,
a 2-step first order kinetic model could predict the degradation of lycopene within
experimental limits. The presence of 2 first order decay processes does suggest multiple
(2 or more) pathways of degradation caused by the effects of various treatments, storage
temperature and time and/or their interactions. Figure 4.6 provides experimental vs.
predicted lycopene concentration (using kinetic constants presented in Table 4.2) in
selected tomato juice samples from FG99-218. Each line in Figure 4.6 was generated
by its corresponding equation (equation 2) and offered a reasonable fit to the
experimental data within experimental limits.
The rate constants of lycopene degradation during storage are summarized in
Table 4.2. The initial phase of storage (0, 2, and 5 weeks) had larger reaction constant
values (k1) (ranging from 0.36/sec to 2.67/sec) than reaction constant values (k2)
estimated (ranging from 0.0009 to 0.0072/sec) for subsequent stages of storage (5, 15, 35,
and 52 weeks). This shows that rapid lycopene degradation occurred during the first few
weeks of storage and then gradually subsided. With few exceptions, samples stored at
4°C showed lowest rate of degradation during both first order degradation steps. This
biphasic degradation behavior of lycopene was also observed in watermelon samples
stored for one year at -20 and -80°C (Fish and Davis, 2003). However, the rate constants
(k1, k2) of lycopene degradation in watermelon tissue under frozen storage were
approximately one-tenth of the values reported in this study. This could be attributed to
difference in lycopene level in the studied food matrices, process treatment, and storage
temperature.
120
Processing methods and cultivars were found to influence the lycopene stability
over 52 weeks of storage. For example, with FG99-218, in comparison to pressure treated
samples at day 0, pressure treated samples stored for 52 weeks showed 11, 18, and 21%
decrease in all-trans lycopene at 4, 25, and 37°C respectively (Figure 4.2a). Similarly,
thermally processed samples after 52 weeks of storage showed 26, 27 and 28% decrease
as compared to day 0 samples analyzed immediately after thermal processing. PATP
samples showed ~16% decrease at all three storage temperatures (Figure 4.2a). HPP and
PATP treatments resulted in up to 23% and 17% degradation in cis isomers, respectively,
whereas TP resulted in up to 26% cis lycopene degradation during storage. The cis
isomers of both cultivars were better retained in HPP and PATP processed samples at the
end of 52 weeks as compared to the thermally processed samples (Figure 4.2b). In
OX325 over a 52 week period, the change in all-trans isomers of lycopene in HPP, PATP
and thermally treated samples stored at 4, 25 and 37°C was 5, 10, 8% (HPP); 12, 11, 13%
(PATP) and 14, 15, 11% (TP) respectively (Figure 4.3a). The cis isomers in this cultivar
did not show a clear dependency on storage temperature (Figure 4.3b) and samples
stored at 25 °C showed more degradation than samples stored at 4 or 37°C.
Studies that report the fate of lycopene in stored tomato juice processed using
combined pressure-temperature are scarce and conducted for less than 4 weeks on
samples processed at ambient temperatures (Hsu et al., 2008; Qiu et al., 2006). These
studies conducted over a range of pressures up to 600 MPa and 25°C show that lycopene
is fairly stable in tomato juice/puree exposed to HPP treatments degrading between 1-
10% over a storage period between 2-4 weeks stored at 25°C. However, studies on the
121
fate of lycopene in thermally processed tomato products are readily available, though
large differences in lycopene stability have been reported. One study reported that
commercially canned tomato juice stored for a period of 12 months does not show
significant lycopene degradation (Agarwal et al., 2001). Additionally, Nguyen et al.
(2001) reported that extended storage of various tomato products over an 18 month
period did not change the isomer distribution of lycopene.
4.5 Conclusions
Within the range of experimental conditions used in the study, combined
pressure-temperature treatments improved the extractability of lycopene over
conventional thermal sterilization. All-trans lycopene is fairly stable to
isomerization during processing and the cis isomer content of control and
processed juice did not differ significantly. During storage, the stability of
lycopene in tomato juice is influenced by a complex interaction of method of
processing, type of cultivar, storage temperature and storage time. HPP and PATP
processed samples better retained both total lycopene and cis isomers during 52
weeks of storage. During storage, HPP and PATP samples also showed better
color retention as compared to the thermally processed samples. Tomato juice
samples processed using various treatments (HPP, PATP and thermal) were
microbiologically stable over 52 weeks of storage. A 2-step first order equation
could be effectively used to predict the changes in lycopene concentration over the
course of storage. This study suggests that combined pressure-temperature
122
treatments pose an attractive alternative to thermal sterilization for delivering
improved quality and a more functional tomato juice to the consumer.
Acknowledgements
Support for this research was provided by USDA-CSREES-NRICGP grant 2006-
35503-17571, by the Ohio Agricultural Research and Development Center (OARDC),
and by The Ohio State University. References to commercial products or trade names are
made with the understanding that no endorsement or discrimination by The Ohio State
University is implied.
123
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128
Table 4.1 Selected attributes of raw tomato flesh and the hot break tomato juice used in
the study.
Cultivar 0Brix pH Color
1 Lycopene content
1
mg/100 g juice
Total
Lycopene1
mg/100 g
juice
%TSS2 L a B all-trans cis All-trans
+cis
FG99-
218
Raw
tomato
6.3 4.52 26.02±0.21 19.86±0.16 14.89±0.09 15.02±0.26 1.02±0.05 16.04±0.3
Hot
break
juice
6.5 4.50 26.59±0.13 18.02±0.08 14.46±0.14 14.65±0.66 1.4±0.01 16.05±0.7
HPP3
6.6 4.51 25.54±0.47 17.08±0.26 12.14±0.25 16.51±0.6 1.44±0.01 17.95±0.6
PATP4
6.5 4.50 24.99±0.51 16.75±0.17 12.77±0.20 15.74±0.37 1.38±0.02 17.12±0.4
TP5
6.5 4.50 28.92±0.91 15.41±0.38 11.89±0.41 14.1±0.51 1.4±0.03 15.50±0.5
OX 325 Raw
tomato
5.4 4.38 25.89±0.11 14.52±0.19 12.66±0.25 8.96±0.15 0.88±0.06 9.84±0.2
Hot
break
juice
5.6 4.40 25.92±0.09 13.99±0.04 12.43±0.09 8.84±0.22 1.38±0.01 10.22±0.2
HPP3
5.7 4.40 26.48±0.55 14.40±0.60 12.64±1.19 9.57±0.37 1.35±0.01 10.88±0.4
PATP4
5.7 4.41 23.75±0.22 15.3±1.22 15.08±0.59 8.93±0.30 1.36±0.03 10.29±0.3
TP5
5.6 4.40 28.52±0.55 11.18±0.14 10.39±0.27 7.13±0.32 1.36±0.01 8.49±0.3
1Values are mean ± SD of three replications
2Per cent total soluble solids present in the juice
3High Pressure Processing – 700 MPa, 45
oC, 10 min
4Pressure Assisted Thermal Processing – 600 MPa, 100
oC, 10 min
5Thermal Processing – 0.1 MPa, 100
oC, 35 min
129
Table 4.2 Reaction rate constants and correlation coefficients of lycopene degradation in
high lycopene (FG99-218) and OX325 tomato juice treated using HPP, PATP, and
thermal sterilization.
Cultivar /Treatment K1 (rate constant for lycopene
degradation during 0 to 5 week
storage)
K2 (rate constant for lycopene
degradation during 5 to 52 week
storage)
Cultivar FG99-218 K1 (1/sec) Correlation
coefficient
K2 (1/sec) Correlation
coefficient
HPP
4oC 0.5124 0.99 0.0014 0.98
25oC 0.3283 0.99 0.0036 0.98
37oC 0.8086 0.93 0.0034 0.99
Thermal
4oC 0.6322 0.96 0.0015 0.89
25oC 0.637 0.97 0.0031 0.97
37oC 1.3158 0.97 0.0072 0.99
PATP
4oC 0.3631 0.83 0.0017 0.88
25oC 0.7548 0.98 0.0011 0.97
37oC 0.7342 0.97 0.0016 0.97
Cultivar OX325
HPP
4oC 2.6714 0.99 0.0009 0.98
25oC 1.3016 0.88 0.001 0.99
37oC 0.7717 0.90 0.0014 0.99
Thermal
4oC 0.4348 0.97 0.0014 0.89
25oC 0.9019 0.91 0.0016 0.99
37oC 0.545 0.99 0.0025 0.99
PATP
4oC 0.5417 0.97 0.0012 0.95
25oC 1.3124 0.94 0.0002 0.99
37oC 0.7648 0.99 0.0011 0.97
130
Figure 4.1 HPLC chromatogram of lycopene isomers obtained by adding iodine catalyst
in hexane at a concentration of about 1% (w/w) of the lycopene weight and allowing the
mixture to sit for 15 min in fluorescent light of luminance 320 lux (lumens/m2).
AU
0.00
0.05
0.10
0.15
Minutes 20.00 22.00 24.00 26.00 28.00 30.00
Cis lycopene isomers All-trans lycopene
5-cis
131
Figure 4.2 All-trans (a) and cis (b) lycopene concentrations in high lycopene (FG99-218)
tomato juice processed using HPP (700 MPa, 45oC, 10 min), thermal sterilization (0.1
MPa, 100oC, 35 min) PATP (600 MPa, 100
oC, 10 min) and stored in dark at different
storage temperatures for 0,2,5,15,35 and 52 weeks. Untreated control had 14.65±0.66 mg
all-trans lycopene/100 g juice and 1.4±0.01 mg cis lycopene/100 g juice. Values are
mean ± SD of three replications
0
2
4
6
8
10
12
14
16
18
Control HPP 4c
HPP 25C
HPP 37C
PATP 4C
PATP 25C
PATP 37C
Thermal 4C
Thermal 25C
Thermal 37 C
mg
all-trans
lyco
pe
ne
/10
0 g
to
mat
o ju
ice
Processing method/ storage temperature
0
2
5
15
35
52
Storage
time
(weeks)
Continued
a
132
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
Control HPP 4c
HPP 25C
HPP 37C
PATP 4C
PATP 25C
PATP 37C
Thermal 4C
Thermal 25C
Thermal 37 C
mg cis
lyco
pe
ne
/ 1
00
g t
om
ato
juic
e
Processing method / storage temperature
0
2
5
15
35
52
Storage
time
(weeks)
Figure 4.2 continued
b
133
Figure 4.3 All-trans (a) and cis (b) lycopene concentrations in OX325 tomato juice
processed using HPP (700 MPa, 45oC, 10 min), thermal sterilization (0.1 MPa, 100
oC, 35
min) PATP (600 MPa, 100oC, 10 min) and stored in dark at different storage
temperatures for 0,2,5,15,35 and 52 weeks. Untreated control had 8.84±0.22 mg all-trans
lycopene/100 g tomato juice and 1.38±0.01 mg cis lycopene/100 g juice. Values are mean
± SD of three replications
0
2
4
6
8
10
12
Control HPP 4c
HPP 25C
HPP 37C
PATP 4C
PATP 25C
PATP 37C
Thermal 4C
Thermal 25C
Thermal 37 C
mg
all-
tran
s ly
cop
en
e/1
00
g t
om
ato
juic
e
Processing method/Storage temperature
0
2
5
15
35
52
Storage
time
(weeks)
Continued
a
134
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
Control HPP 4C
HPP 25C
HPP 37C
PATP 4C
PATP 25C
PATP 37C
Thermal 4C
Thermal 25C
Thermal 37 C
mg
cis
iso
me
r/1
00
g t
om
ato
juic
e
Processing method / storage temperature
0
2
5
15
35
52
Storage
time
(weeks)
Figure 4.3 continued
b
135
Continued
Figure 4.4 Differential Color values (ΔE) of high lycopene (FG99-218) tomato juice
processed using HPP (□), TP (Δ) and PATP (●) and stored in dark at (a) 4oC (b) 25
oC and
(c) 37oC for 0,2,5,15,35 weeks. Values are mean ± SD of three replications
0
1
2
3
4
5
6
7
8
9
-10 0 10 20 30 40 50 60
De
lta
E
Storage time (weeks)
a
0
1
2
3
4
5
6
7
8
9
10
-10 0 10 20 30 40 50 60
De
lta
E
Storage time (weeks)
b
137
Continued
Figure 4.5 Differential Color values (ΔE) of OX325 tomato juice processed using HPP
(□), TP (Δ) and PATP (●) and stored in dark at (a) 4oC (b) 25
oC and (c) 37
oC for
0,2,5,15,35 weeks. Values are mean ± SD of three replications
0
1
2
3
4
5
6
7
8
-10 0 10 20 30 40 50 60
De
lta
E
Storage time (weeks)
a
0
1
2
3
4
5
6
7
8
9
10
-10 0 10 20 30 40 50 60
De
lta
E
Storage time (Weeks)
b
139
Figure 4.6 Representative experimental vs. predicted values of lycopene concentration in
tomato juice (FG99-218) processed using combined pressure-temperature treatments and
stored at various temperatures.
▔ 700 MPa, 45oC, 10 min. treatment followed by 4
oC storage ---- predicted
▲ 0.1 MPa, 100oC, 35 min. treatment followed by storage at 25
oC ----- predicted
♦ 600 MPa, 100oC, 10 min. treatment followed by storage at 37
oC ----- predicted
10
11
12
13
14
15
16
17
0 10 20 30 40 50 60
mg a
ll-t
ran
s ly
cop
ene/
100g t
om
ato
ju
ice
Storage time (weeks)
140
Figure 4.7 Flowchart outlining the steps involved in the experiment
Freshly harvested tomatoes
Cultivar A – High Lycopene
Cultivar B – Commercial Variety
(Standard lycopene content)
Juice extraction
(Hot Break) 93oC
High pressure
processing
(700 MPa, 45oC, 10
min.)
Pressure assisted
thermal processing
600 MPa, 100oC,
10min
Thermal processing
(0.2 MPa, 100 oC, 35
min.)
Unprocessed hot
break juice (control)
Lycopene extraction
followed by High
Performance Liquid
Chromatography
Storage at 4, 25 and 37oC in dark for 52
weeks(0, 2, 5, 15, 35 and 52 weeks)
pH, %TSS
measurement
Data analysis
0, 2, 5, 15, 35
and 52 weeks
Color estimation (L, a, b
values) (Colorimetry)
141
CHAPTER 5: COMBINED PRESSURE-TEMPERATURE EFFECTS ON THE
CHEMICAL MARKER (4-HYDROXY-5-METHYL-3(2H)-FURANONE)
FORMATION IN WHEY PROTEIN GELS
Abstract
Chemical markers, such as furanone, are intrinsically formed in foods at elevated
process temperatures, and have been successfully used as indirect indicators of heating
patterns in advanced thermal processes such as aseptic processing, microwave
sterilization and ohmic heating. However, very limited information is available on
suitability of these chemical markers during combined pressure-heat treatment. A study
was conducted on the formation and stability of chemical marker M-2 (4-hydroxy-5-
methyl-3(2H) furanone, a by-product of Maillard reaction) as a function of pressure,
temperature and pH. Whey protein gels (containing 1g ribose/100g gel mix) at pH 6.10
and 8.25 were subjected to pressure assisted thermal processing (PATP; 350 and 700
MPa, 105oC), high pressure processing (HPP; 350 and 700 MPa, 30
oC) and thermal
processing (TP; 0.1MPa, 105oC) for different holding times. Unprocessed gel was used as
control. The marker yield was quantified using HPLC. The initial concentrations of M-2
in the gels were 9.17 and 6.10 mg/100g at pH 6.10 and 8.25, respectively. As expected,
heat treatment at 105oC, 0.1 MPa increased M-2 concentration. The marker yield
increased with increase in holding time, following a first order kinetics and decreased
with increasing pH. Pressure treatments from 350 to 700 MPa at 30oC reduced the
chemical marker formation for both pH values investigated. Marker formation during
combined pressure-temperature (105oC, 350 and 700 MPa) was influenced by both heat
142
(which favored the marker formation) and pressure (which hindered marker formation).
The net final concentration of the marker formed during PATP was higher than HPP, but
lower than thermal treatments. This study suggests that 4-hydroxy, 5-methyl, 3(2H)
furanone may not be a suitable marker for evaluating pressure-heat uniformity during
PATP.
5.1 Introduction
Pressure-assisted thermal processing (PATP) offers new opportunities to the food
industry for processing high quality low-acid, shelf-stable foods. Although shelf-stable
low-acid foods processed by this technology are not currently commercially available, the
technology can be used for processing heat-sensitive products such as mashed potatoes,
dinner kits, meats and sauces, soups, egg products, coffee, and tea (Balasubramaniam, &
Farkas, 2008; Juliano et al., 2006). During a typical PATP process, the food is subjected
to a combination of elevated pressures (500-900 MPa) and moderate heat (90-121oC) for
a short time. One of the unique advantages of PATP is its ability to provide a rapid
increase in the temperature of treated food samples. Rapid compression heating and
subsequent expansion cooling on decompression help to reduce the severity of thermal
effects encountered with conventional processing techniques (Rajan et al., 2006).
The increase in temperature of the sample when exposed to high pressure, also
known as heat of compression, has been well documented in the literature (Patazca, et al.,
2007; Delgado, et al., 2007; Rasanayagam et al., 2003; Torres et al., 2009). However, this
increase in temperature is further influenced by food composition, product initial
temperature and target pressure. As a result, temperature gradient may exist within
143
pressure vessel possibly due to the differences in the thermal properties such as specific
heat capacity, thermal diffusivity and physicochemical properties such as composition,
density, voidage, polarity, etc. (Ramaswamy et al., 2005). Previous attempts to study the
temperature distribution profile within the high pressure chamber involve use of thermo-
fluid dynamic based mathematical models (Carroll et al., 2003; Chen et al., 2007;
Hartmann, & Delgado, 2005; Hartmann et al., 2004) and enzyme/protein based time-
temperature-pressure indicators (Van der Plancken et al., 2008; Rauh et al., 2009;
Garuwet et al., 2010; Gogou et al., 2010). Most enzyme based time-temperature-pressure
indicators have been studied at modest high pressure pasteurization temperatures below
70oC.
Development of biochemical indicators to monitor thermal process non
uniformities within a pressure chamber during PATP could help the industry to ensure
product safety and optimize the process. Kim and Taub (1993) suggested that certain
chemical compounds, such as Maillard reaction products, formed in the food during
thermal processing could be used as indicators of heating patterns. Three biochemical
markers have been commonly identified in foods, viz. 2,3-dihydro-3,5-dihydroxy-6-
methyl-4(H)-pyran-4-one (referred to as M-1), 4-hydroxy-5-methyl-3(2H)-furanone (M-
2) and 5-hydroxymethylfurfural (M-3) (Kim and Taub, 1993). These markers are the
degradation products of Maillard reaction between carbonyl group of a reducing sugar
and amine group of a suitable reactive amino acid (Lau et al., 2003; Wang et al., 2004).
Number of earlier studies (Kim et al., 1996; Ramaswamy et al., 1996) utilized these
markers for investigating temperature distribution during ohmic and aseptic processing.
The relatively fast reaction rates for the formation of marker M-2 in protein rich
144
substrates at temperature beyond 100oC make this marker particularly useful in studying
heat distribution during short-time sterilization processes (Lau et al., 2003; Pandit et al.,
2006; Pandit et al., 2007a). Also, M-2 marker yield can be positively correlated with
thermal lethality and, thus, can be effectively used to locate colds spots in packaged foods
during microwave sterilization processes (Pandit et al., 2007b).
5.2 Objectives
The objective of this study was to evaluate the feasibility of applying these novel
chemical markers for studying temperature non uniformities during PATP.
5.3 Materials and methods
5.3.1 Materials
Whey protein isolate (97.6±0.3%; Bipro) and whey protein concentrate (80%)
were purchased from Davisco Foods International, Eden Prairie, MN. D-ribose (≥99%)
and 4-Hydroxy-2,5-dimethyl-3(2H)-furanone (purum ≥99%) (M-2 chemical marker
standard) were purchased from Sigma-Aldrich (St. Louis, MO). Morton table salt
(Morton Salt, IL) was purchased from a local grocery store. Sodium acetate (anhydrous)
and potassium bicarbonate (99.5-101.5% USP) were purchased from Fisher Scientific,
Pittsburgh, PA.
5.3.2 Buffer solutions
10% acetate buffer (pH 7.0) and 5% bicarbonate buffer (pH 10.0) were prepared
by dissolving respective amounts of sodium acetate and potassium bicarbonate in water.
145
5.3.3 Preparation of whey protein gels
Whey protein gels were prepared by modifying the formulation suggested by Lau
et al. (2003). The formulation was modified (by optimizing the concentrations of whey
protein concentrate, isolate and water) to minimize syneresis from whey protein gels
under high pressure and thus prevent the migration of M-2 marker. 200 g batches of whey
protein gel consisted of 24 g whey protein concentrate/100g gel mix, 11g whey protein
isolate/100g gel mix, 1g D-ribose/100g gel mix, 0.8g salt/100g gel mix and 63.2g de-
ionized water/100g gel mix. Briefly, respective quantities of D-ribose and salt were
dissolved in water and mixed with weighed amounts of whey protein concentrate and
isolate in a lab blender (Oster 10 speed blender, Boca Raton, FL) for 1 min to obtain a
paste like consistency. The pH of the paste was 6.10. Appropriate amounts of sodium
acetate and potassium bicarbonate buffer solutions were added to prepare paste with a pH
of 8.25. The samples were stored overnight under refrigerated conditions to ensure
complete protein hydration. 200g hydrated paste was poured in rectangular Nalgene
bottle and the bottle were covered with aluminium foils to prevent evaporation of water
during gel formation. Gel was formed by placing the Nalgene bottles containing the
hydrated paste in a water bath (Isotemp 128, Fisher Scientific, Pittsburgh, PA)
maintained at 80oC for 40 min. The whey protein gel was immediately cooled in an ice-
water mixture and refrigerated at 4oC till further processing and analysis. Earlier studies
have shown that heating at 80oC for 40 min causes negligible browning in whey protein
gels (Lau et al., 2003), the gels containing D-ribose show prominent browning at
temperatures only above 100oC (Pandit et al., 2007a).
146
5.3.4 Processing the whey protein gels
Uniform 7 cm X 2 cm X 0.1 cm sections were cut from the whey protein gel
blocks and immediately vacuum packaged (Spiromac vacuum sealer, model 450 T,
Québec, Canada) in polypropylene pouches (76.2 µm) Deli, NS1D30-155215, Thomson
Equipment and Supply (Cincinnati, OH). Vacuum packaging did not have any observable
effect on the physical characteristics of the gel. The packaged samples were subjected
various pressure-heat combinations as outlined below.
5.3.5 High-pressure kinetic tester
A high-pressure kinetic tester (pressure test unit PT-1, Avure Technology Inc.,
Kent, WA) was used to process the gel samples. A 54-ml stainless steel (SS-316)
pressure chamber was immersed in a temperature-controlled bath to maintain the desired
process conditions (30oC for HPP and 105
oC for PATP). Propylene glycol (57-55-6,
Avatar Corporation, University Park, IL) was used as the pressure transmitting medium
as well as heating medium in the temperature controlled bath. The desired pressure was
generated at the rate of 18.42 MPa/s using an intensifier (M-340 A, Flow International,
Kent, WA) connected to a hydraulic pump (model PO45/45-OGPM-120, Interface
Devices, Milford, CT). The depressurization rate was approximately 2 s. The pressure
holding times provided in Table 5.1 do not include pressurization or depressurization
times. More details about the equipment are described elsewhere (Ratphitagsanti et al.,
2009)
147
5.3.6 High pressure processing
Whey protein gel samples (~3.5 g each) vacuum sealed in pouches were
compressed to 350 or 700 MPa and held for 0, 5, 10 and 20 min. at 30oC in the high
pressure PT-1 kinetic tester. Before HPP treatment, the samples were preconditioned in
ice–water mixture for 10 min. and placed inside a 10-ml polypropylene syringe (model
309604, Difo, Becton Dickinson, Franklin Lakes, NJ), which served as the sample holder.
After loading the pouch inside the sample holder, the sample holder was filled with
approximately 6 ml of chilled water (from the ice-water mixture) to ensure that
immediate vicinity of the sample pouch had similar temperature and heat of compression
characteristics as that of the whey protein gel. To minimize heat exchange with the
surrounding glycol in bath, the sample holder was wrapped with two layers of insulating
material (Sports Tape, CVS pharmacy Inc., Woonsocket, RI) (Nguyen et al., 2007). The
initial temperatures of the samples were determined by using the following equation
(Rasanayagam et al., 2003; Nguyen et al., 2007) and by performing preliminary
experiments.
𝑇3′ = 𝑇2 + (𝐶𝐻𝑖∗𝑀𝑖)𝑖
1 (
∆𝑃
100) + ∆𝑇H ………………………………………………..(1)
where, T3’ is the target temperature, T2 is the initial sample temperature, CHi is the heat-
of-compression value of component i of the sample (defined as temperature increase per
100 MPa during sample pressurization), Mi is the mass fraction of component i in the
sample, ΔP is the process pressure and ΔTH is the temperature gain (lost) by the test
sample from (to) the surrounding glycol bath. Sample temperature history at various
148
stages of high pressure treatment is given in Table 5.1. After processing, the samples
were immediately withdrawn and stored at 4oC until analyzed.
5.3.7 Pressure assisted thermal processing
Whey protein gel samples were also pressure (350 and 700 MPa) treated under
elevated heat (105oC) conditions for 0, 5, 10 and 20 min. using high pressure PT-1 kinetic
tester described earlier. The samples and the sample holder (10-ml polypropylene
syringe) were preconditioned in a hot water bath (Isotemp 128, Fisher Scientific,
Pittsburgh, PA) for 5 min. The water bath was maintained at respective predetermined
temperatures for each of the pressures (see Table 5.1). The sample pouch was then
inserted in the syringe and remainder of the syringe was filled with warm water and
immediately inserted in the pressure chamber for pressurization. The temperature history
of samples at various stages of PATP treatments is given in Table 5.1. After processing,
the samples were immediately cooled in ice–water mixture and subsequently stored at
4oC until analyzed.
5.3.8 Thermal processing
Preheated glycol at 105oC in the temperature control bath of the high pressure
vessel was used for thermal processing (105oC for 0, 5, 10 and 20 min.) of whey protein
gel samples. Whey protein gel pouches (discussed in previous sections) were immersed
in hot propylene glycol (105oC) and held for 0, 5, 10 and 20 min after which they were
immediately cooled in ice–water mixture and refrigerated at 4oC until analyzed.
149
5.3.9 Analysis
5.3.9.1 High pressure liquid chromatography (HPLC)
Chemical marker (M-1) yields were quantified using HPLC. HP 1050 system
(Hewett Packard, Plainsboro, NJ) equipped with a Waters photodiode array detector
(Waters Corp, Milford, MA) and a solvent delivery system was used. 1.2 g sample was
ground in a mortar pestle with 10 ml 10 mM H2SO4. The homogenous paste was
centrifuged (527 X g) for 10 min. and the supernatant was filtered through 0.45 µm nylon
membrane filters in HPLC vials. The filtrate was injected into an HPLC fast acid analysis
column (Bio-RAD, Hercules, CA) using automatic injection system (HP 1050, Hewlett
Packard Co., Plainsboro, NJ). 10 mM H2SO4 at a flow rate of 1 ml/min was used as the
mobile phase. Absorbance of the eluting compounds was measured at 285 nm (Kim and
Taub, 1993).
To quantify and characterize M-2 (4-Hydroxy-5-methyl-3(2H)-furanone) yield in
control and processed whey protein gels, a standard M-2 curve was generated using 4-
Hydroxy-2,5-dimethyl-3(2H)-furanone standard obtained from Sigma Aldrich (St. Louis,
MO). Concentration of the M-2 marker in processed and control samples was expressed
as mg/100 g whey protein gel.
5.3.9.2 Kinetics of M-2 formation
Formation of M-2 in whey protein gels containing 1g ribose/100g gel mix
is given by eqn. 2 (Lau et al., 2003)
𝑑𝐶
𝑑𝑡= 𝑘(𝐶∞ − 𝐶)𝑛 ……………………………………………………………………..(2)
150
𝑤ℎ𝑒𝑟𝑒 𝐶∞ is the concentration at saturation and C is the concentration at time t. k is
the reaction rate constant and n is the reaction order.
5.3.9.3 Statistical data analysis
Data was analyzed with Minitab software, version 14.1 (Minitab, State College,
PA). The influence of treatment type (HPP, PATP, or TP), treatment time, gel pH as well
as their interaction on the formation chemical marker M-2 in whey protein gels was
analyzed. Pairwise comparisons for the means of treatment variables (factors) were
evaluated with Tukey’s test at 5% significance level (P < 0.05).
5.4 Results and discussion
Formation of M-2 (4-Hydroxy-5-methyl-3(2H)-furanone) under combined pressure-
heat treatment conditions
A typical chromatogram of standard 4-Hydroxy-5-methyl-3(2H)-furanone at 285
nm is shown in Figure 5.1. The marker compound eluted between 5-8 minutes.
Chemical marker M-2 (4-Hydroxy-5-methyl-3(2H)-furanone) formation in whey
protein gels (containing 1g ribose/100g gel mix) as a function of pressure (350 and 700
MPa), temperature (30 and 105oC) and holding time (0, 5, 10 and 20 min) is shown in
Figure 5.2 (at pH 6.10) and Figure 5.3 (at pH 8.25), respectively.
At pH 6.10, the formation of M-2 marker in whey protein gels during thermal
processing at 0.1 MPa and 105oC increased with holding time (Figure 5.2). However,
whey protein gels treated with combined pressure-temperature combinations showed a
distinct inhibitory/degradation effect on M-2 formation. The magnitude of this inhibitory
151
and/or degradation effect increased as the pressure was increased from 350 to 700 MPa
(see Figure 5.2). Under combined pressure-temperature treatments, increase in
temperature from 30 to 100oC increased the M-2 marker yield. Within the experimental
conditions of the study, increase in time did not show a significant increase in the marker
formation for samples processed at 700 MPa, 105oC and 350-700 MPa at 30
oC. Thus,
maximum M-2 marker yield was obtained in thermally processed gels held at 0.1MPa,
105oC for 20 min, whereas the minimum M-2 marker was formed in whey protein gel
samples processed at 700 MPa and 30oC.
Kinetics constants for marker formation during various pressure-heat treatments
The marker formation during thermal processing followed a first order kinetics.
This is in agreement with that reported by other researchers for temperature only
treatments (Lau et al., 2003). The rate constants of marker M-2 formation under different
processing conditions are summarized in Table 5.2. The rate constant in thermally
processed gel samples (0.1 MPa, 105oC) was 0.077 min
-1, whereas application of pressure
(350 and 700 MPa) at 105oC inhibited the marker formation. The rate constants for
marker formation under 350 and 700 MPa at 105oC were 0.023 and 0.0033 min
-1
respectively. Treatment of gel samples at 350 and 700 MPa at low temperature (30oC)
showed negative rate constants (Table 2 -0.0013, -0.0014 min-1
respectively) for the M-2
marker formation, thus confirming degradation/inhibition effects of pressure on the
formation of M-2.
At pH 8.25 the marker yield was significantly lower (p<0.05) than that at pH 6.10
regardless of the temperature and pressure used (Figure 5.3). Although the formation of
152
M-2 followed first order reaction kinetics at 0.1 MPa and 105oC and M-2 concentration
increased with holding time, two consecutive reactions viz. formation and decay were
seen to occur during processing under 350 and 700 MPa. Under combined pressure-
temperature conditions (350 and 700 MPa, 30 and 105oC) an increase in concentration of
M-2 was seen during the first five minutes of processing after which a decrease was
observed. This observation is similar to that reported at pH 7.0 by Bristow and Isaacs
(1999). The differences in concentration and time required to reach maximum could be
attributed to differences in pH values, differences in reaction systems and processing
conditions used. At either pH (viz. 6.10 and 8.25), the extent of browning in the gel
samples could not be directly related to the M-2 marker formation. The significance of
independent variables (time, temperature, pH and pressure) and their interactions in the
formation of M-2 marker is shown in Table 5.3. It is interesting to note that each of the
variables contributed significantly toward the marker yield (p<0.05).
The effects of pressure, temperature and pH on the formation of M-2 (a Maillard
reaction product) could be explained by understanding the fate of Maillard reaction
products under different conditions. At atmospheric pressure (0.1 MPa), the Maillard
reaction is known to occur in 3-4 stages. In the first stage carbonyl group from a reducing
sugar such as ribose reacts with amino group from the amino acid to form an imine which
rearranges to the amino form (Amadori rearrangement) and subsequently is converted to
volatailes and polymerized compounds (melanoidins) (Ames, 1992). Under normal
conditions of pressure (0.1 MPa), M-2 formation in a Maillard reaction is favored by
weak acidic (pH>5.0) or alkaline (pH>7.0) conditions which promote 2, 3 enolization
leading to the formation of furanones (M-2) (Feather, 1981; Kim et al., 1996).
153
Furthermore, in a whey protein gel system containing 1g ribose/100g gel mixture, M-2
formation is known to follow first order kinetics at atmospheric pressure (0.1 MPa) and
the reaction rate is directly proportional to the process temperature (Lau et al., 2003). The
kinetic data at 0.1 MPa and 105oC in this research is in agreement with that reported
above by Lau et al. (2003).
A comparison of M-2 yields in whey protein gels of pH=6.10 held for any given
time at 105C under 0.1, 350, and 700 MPa at pH of 6.10 (Figure 5.2) clearly suggests
that high pressure, suppressed certain steps in a Maillard reaction. Although attempts
have been made to elucidate the mechanism of inhibition and/or degradation of Maillard
products under pressure (Tamaoka et al., 1991; Isaacs and Coulson, 1996; Bristow and
Isaacs, 1999), the mechanism still stands predictive. Pressure has been proposed to
suppress the condensation and browning reactions (Tamaoka et al., 1991). Use of
hyperfine ESR spectra has shown that diffusion rate of unstable free radicals is greatly
reduced in a Maillard system exposed to high pressures. Since several advanced steps in
Maillard reaction involve the generation and participation of free radicals (Tamaoka et
al., 1991), this suppression effect could have an important bearing on the fate of Maillard
products. By determining the activation volume of the formation and inhibition of
Maillard reaction products in model systems, it has been suggested that pressure
accelerates the formation of Amadori rearrangement products and inhibits their
degradation pathway (Isaacs and Coulson, 1996). Since degradation of Amadori
compounds is responsible for formation of heterocyclic Maillard products and
melanoidins, inhibition of their degradation would decrease the formation of Maillard
reaction products. Further studies suggest that reduction in the peak value of M-2 formed
154
under pressure is a result of both, retardation in its rate of formation and increase in its
rate of decomposition (Bristow and Isaacs, 1999).
Although pH>5.0 and alkaline pH (pH>7.0) favors the formation of M-2 marker,
significant differences in the formation of M-2 exist as the pH is increased from 6.10 to
8.25. At higher alkaline pH values nitrogen heterocyclic products have been shown to
form (Bristow and Isaacs, 1999). Likewise, as observed in the present study, the decrease
in the formation of M-2 marker at pH 8.25 could be attributed to a dominating pH effect.
Due to complex pressure-heat interactions, the M-2 marker investigated in study
may not be a suitable marker for evaluating thermal non-uniformities during PATP. On a
positive note, inhibition of certain stages of Maillard reaction under high pressure
processing conditions could be attractive for food both food processors and consumers
interested in adopting this technology. Further discussion on this topic is beyond the
scope of this research. Although M-2 marker might not be effective in mapping PATP
non-uniformities, it is worth noting that other enzyme/protein based markers have been
proposed for estimating thermal non-uniformities under certain high pressure processing
conditions (Garuwet et al., 2010; Gogou et al., 2010). Gogou et al. (2010) employed
Thermomyces lanuginosus xylanase enzyme up to 600 MPa and 50-70oC and reported a
synergistic effect of pressure with temperature on the enzyme inactivation. A first order
inactivation kinetics was observed. Similarly, Garuwet et al. (2010) evaluated the
potential of using Bacillus amyloliquefaciens α-amylase based indicator for mild
pasteurization conditions. After exposing the above enzyme to isobaric-isothermal
treatments up to 680 MPa and 10-45oC and dynamic pressure-temperature treatments
(350-600 MPa and initial temperature 10-25oC), the enzyme activity was measured. More
155
research is needed to develop real-time, reliable, sensitive and versatile industrially
relevant sensors that can be used for mapping pressure-heat related non-uniformities with
precision, accuracy and reproducibility especially during high pressure sterilization or
pressure assisted thermal sterilization (PATS) conditions.
5.5 Conclusions
The formation of M-2 marker at atmospheric pressure was a function of
temperature and holding time and was found to follow first order kinetics. However,
pressure exerts a dominating effect in inhibition and/or degradation of the chemical
marker M-2, thus introducing a complex effect on the formation of M-2. Also, pH has a
significant influence (p<0.05) on the formation of M-2 and increase in pH from 6.10 to
8.25 strongly inhibits the formation of M-2. Due to the confounding interaction of
pressure with temperature in yielding M-2 marker, 4-hydroxy, 5-methyl, 3(2H) furanone
(M-2) may not be a suitable marker for evaluating pressure-heat uniformity during PATP.
Acknowledgements
We gratefully acknowledge the financial support from Ohio Agricultural
Research and Development Center (OARDC) (grant # 2008-020) and thank Dr. Steven J.
Schwartz for providing analytical resources and Rachel Kopec for her suggestions.
156
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Table 5.1 Temperature histories at different stages of processing during high pressure processing (HPP; 350 and 700 MPa at 30oC)
and pressure-assisted thermal processing (PATP; 350 and 700 MPa at 105oC) of whey protein gel samples.
Treatment
Processing
Pressure
(MPa)
Processing
time
(s)
Temperature at different stages during processing (oC) Time required at different
stages of preprocessing (s)
Preprocess
Immediately
before
pressurization
Immediately
after
pressurization
Pressure
holding
Depressurization
Preprocess
Pressure come
up time
HPP 350 0.1 14.0±1 17.3±0.6 28.2±1.1 30.0±0.4 19.1±0.8 618±5 16±1
30oC 300 14.0±1 17.3±0.6 28.2±1.1 30.3±0.2 19.1±0.8 618±5 16±1
600 14.0±1 17.3±0.6 28.2±1.1 30.1±0.4 19.1±0.8 618±5 16±1
1200 14.0±1 17.3±0.6 28.2±1.1 30.3±0.2 19.1±0.8 618±5 16±1
700 0.1 1.0±1 7.0±0.5 28.4±0.7 30.6±0.6 11.6±0.9 618±5 35±2
300 1.0±1 7.0±0.5 28.4±0.7 30.8±0.4 11.6±0.9 618±5 35±2
600 1.0±1 7.0±0.5 28.4±0.7 30.4±0.7 11.6±0.9 618±5 35±2
1200 1.0±1 7.0±0.5 28.4±0.7 30.1±0.3 11.6±0.9 618±5 35±2
PATP 350 0.1 84±1 87.8±0.9 103.4±0.5 105.1±0.5 89.1±1.1 326±7 16±1
105oC 300 84±1 87.8±0.9 103.4±0.5 104.9±0.6 89.1±1.1 326±7 16±1
600 84±1 87.8±0.9 103.4±0.5 105.2±0.5 89.1±1.1 326±7 16±1
1200 84±1 87.8±0.9 103.4±0.5 105.3±0.4 89.1±1.1 326±7 16±1
700 0.1 57±1 69.5±0.9 103.9±0.7 105.5±0.4 77.1±1.2 326±7 35±2
300 57±1 69.5±0.9 103.9±0.7 105.2±0.4 77.1±1.2 326±7 35±2
600 57±1 69.5±0.9 103.9±0.7 104.9±0.6 77.1±1.2 326±7 35±2
1200 57±1 69.5±0.9 103.9±0.7 104.7±0.3 77.1±1.2 326±7 35±2
16
1
162
Table 5.2 Rate constants of marker M-2 formation/inhibition/degradation under different
processing conditions at gel pH 6.10 and pH 8.25.
Processing conditions Rate constant (k
min-1
)*
Correlation
coefficient (R2) pH Temperature
(oC)
Pressure
(MPa)
6.10
105
350 0.0232 0.99
700 0.0033 0.69
0.1 0.0772 0.99
30
350 -0.0013* 0.87
700 -0.0014* 0.97
8.25
105
350 -0.04 0.3**
700 -0.022 0.89
0.1 0.056 0.99
30
350 -0.006 0.92
700 0.004 0.34**
* Negative sign indicates degradation/inhibition of marker M-2 under combined pressure-
temperature conditions. Whereas temperature favored the formation of M-2, pressure had
a degradation/inhibition effect on M-2.
**At pH 8.25, the formation/degradation/inhibition of M-2 marker did not follow first
order kinetics. Hence the lower values of correlation coefficients
163
Table 5.3 Influence of various independent variables (pressure, temperature, time, and
pH) and their interactions on chemical marker M-2 formation in whey protein gels
containing 1% ribose.
Variable Probability (P)
(Effect of variables on M-2
formation)
Pressure (MPa) a 0.001
Temperature (oC)
a 0.000
Time (min) a 0.040
pH a 0.000
pH*Time a 0.030
pH*Pressure a 0.028
pH*Temperature a 0.005
Time*Temperature a 0.021
Pressure*Temperature a 0.005
a Significant influence on decrease in the concentration of M-2 marker (P<0.05)
164
Figure 5.1 HPLC Chromatogram of chemical marker M-2 (4-Hydroxy-5-methyl-3(2H)-
furanone) extracted at 285 nm.
165
Figure 5.2 Formation and/or inhibition of M-2 marker in whey protein gel samples
containing 1g ribose/100g gel mix ribose subjected to various time-temperature-pressure
combinations (pH = 6.10). Values represent mean ± SD of 3 independent replicates.
0
10
20
30
40
50
60
70
80
PATP 350 Mpa/105 C
PATP 700 Mpa/105 C
HPP 350 Mpa/30 C
HPP 700 Mpa/30 C
Thermal 0.1 Mpa/105 C
M-2
mar
ker
form
atin
o m
g/1
00
g g
el
Treatment type
0 min
5 min
10 min
20 min
166
Figure 5.3 Formation and/or inhibition of M-2 marker in whey protein gel samples
containing 1g ribose/100g gel mix subjected to various time-temperature-pressure
combinations (pH = 8.25). Values represent mean ± SD of 3 independent replicates.
0
2
4
6
8
10
12
14
16
18
PATP 350 Mpa/105 C
PATP 700 Mpa/105 C
HPP 350 Mpa/30 C
HPP 700 Mpa/30 C
Thermal 0.1 Mpa/105 C
M-2
Ma
rke
r C
on
ce
ntr
ati
on
(m
g/1
00
g
gel)
Treatment type
0 min
5 min
10 min
20 min
167
Figure 5.4 Flowchart outlining the experimental design.
Whey protein
gels containing
1% ribose
pH = 6.1
Whey protein gels
containing 1% ribose
pH = 8.25
High pressure
processing
(350 and 700 MPa,
30oC,
0, 5, 10 and 20
min.)
Pressure assisted
thermal
processing
(350 and 700
MPa, 105oC,
0, 5, 10 and 20
min.)
Thermal processing
(0.3 MPa,
105 oC,
0, 5, 10 and 20
min.)
Control
(0.1 MPa
30oC,
0, 5, 10 and 20
min.)
Chemical marker (M-2) extraction
followed by High Performance
Liquid Chromatography
Data analysis
pH measurement
168
CHAPTER 6: CONCLUSIONS
Combined pressure-temperature effects on carotenoid retention and bioaccessibility
in tomato juice
1. Combined pressure-thermal treatment (HPP and PATP) resulted in increased lycopene
extractability (up to 12%) as compared to the unprocessed control. TP did not alter the
lycopene content of the tomato juice and samples processed thermally showed similar
lycopene levels as the unprocessed control.
2. All-trans β-carotene showed significant degradation (p<0.05) as a function of pressure,
temperature, and time. Its retention in processed samples varied between 60-95% of
levels originally present in the control.
3. Limited micellarization of lycopene crystals was observed regardless of the processing
method used. Of the total lycopene present in the raw juice, less than 0.5% lycopene
appeared in the form of micelles.
4. Electron microscopic images showed denser and more prominent lycopene crystals in
HPP and PATP processed juice than in thermally processed juice. Lycopene crystals
appeared to be enveloped regardless of the processing conditions used.
5. The processed juice (HPP, PATP, TP) showed significantly higher (p<0.05) all-trans
β-carotene micellarization as compared to the raw unprocessed juice (control).
169
Interestingly, hot break juice subjected to combined P-T treatments showed 15-30%
more all-trans β-carotene micellarization than the raw juice subjected to combined P-T
treatments.
6. This study demonstrated that combined pressure-heat treatments increases lycopene
extractability. However, the in-vitro bioaccessibility of carotenoids (more
specifically, lycopene) was not significantly different among the treatments (TP,
PATP, and HPP) investigated.
Storage stability of lycopene in tomato juice subjected to combined pressure-heat
combinations
1. Within the range of experimental conditions used in the study, combined pressure-
temperature treatments improved the extractability of lycopene from two different
tomato cultivars with different lycopene contents.
2. All-trans lycopene was fairly stable to isomerization during processing and the cis
isomer content of control and processed juice did not differ significantly.
3. During storage, the stability of lycopene in tomato juice was influenced by a complex
interaction of method of processing, type of cultivar, storage temperature and storage
time.
4. HPP and PATP processed samples better retained both total lycopene and cis isomers
during 52 weeks of storage and also showed better color retention.
5. Tomato juice samples processed using various treatments (HPP, PATP and thermal)
were microbiologically stable over 52 weeks of storage.
170
6. A 2-step first order equation could be effectively used to predict the changes in
lycopene concentration over the course of storage.
Combined pressure-temperature effects on the chemical marker (4-hydroxy-5-
methyl-3(2h)-furanone) formation in whey protein gels
1. The formation of M-2 marker at atmospheric pressure was a function of temperature
and holding time and was found to follow first order kinetics.
2. Pressure exerted a dominating effect in inhibition and/or degradation of the chemical
marker M-2, thus introducing a complex effect on the formation of M-2.
3. pH has a significant influence on the formation of M-2 and increase in pH from 6.1 to
8.25 strongly inhibited the formation of M-2.
4. Due to the confounding interaction of pressure with temperature in yielding M-2
marker, 4-hydroxy, 5-methyl, 3(2H) furanone (M-2) may not be a suitable marker for
evaluating pressure-heat uniformity during PATP.
Future research recommendations
1. Conduct research methods to improve the bioaccessibility of carotenoids from
combined pressure-temperature processed tomato juice.
2. Compare the effects of semi-continuous vs. batch P-T processing on carotenoids in
tomato juice.
171
3. Conduct a detailed consumer sensory acceptability and perception study.
4. Feasibility study on the scale-up of P-T processing for processing tomato juice.
5. Research on developing a reliable bio-marker to study P-T non-uniformities during
combined pressure-temperature processing.
172
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188
APPENDIX 1
Nutrient content of tomatoes
Nutrient
Concentration
(per 100 grams)
Proximate components (g/100g)
Water 89.44±0.32a
Energy (KJ) 134.0
Protein 1.64±0.08a
Total lipids 0.28±0.03a
Ash 1.35±0.06a
Carbohydrates, by difference 7.29
Total dietary fiber 1.90
Minerals (mg/100g)
Calcium, Ca 34±3.90a
Iron, Fe 1.30±0.17a
Magnesium, Mg 20.0
Phosphorous, P 32.0
Potassium, K 293±21.06b
Sodium, Na 132±12.38c
Zinc, Zn 0.27
Copper, Cu 0.183
Manganese, Mn 0.183
Selenium, Se (µg/100g) 0.6
Vitamins (mg/100g)
Vitamin C (Ascorbic Acid) 9.2±0.95d
Thiamin 0.08
Riboflavin 0.05
Niacin 1.22
Pantothenic Acid 0.28
Vitamin B-6 0.15
Total folate (µg/100g) 13.0
Folate, Food (µg/100g) 13.0
Continued
189
Folate, Dietary Folate Equivalent (µg DFE/100g) 13.0
Vitamin A, Retinol Activity Equivalent (µg RAE/100g) 35±3.60d
Vitamin A, IU 699±71.92d
Lipids (g/100g)
Fatty acids, total saturated 0.040
16:00 0.027
18:00 0.010
Fatty acids, total monounsaturated 0.043
16:1 undifferentiated 0.001
18:1 undifferentiated 0.041
Fatty acids, total polyunsaturated 0.113
18:2 undifferentiated 0.108
18:3 undifferentiated 0.005
Amino Acids (g/100g)
Tryptophan 0.012
Threonine 0.040
Isoleucine 0.037
Leucine 0.057
Lysine 0.057
Methionine 0.013
Cystine 0.020
Phenylalanine 0.040
Tyrosine 0.027
Valine 0.040
Arginine 0.038
Histidine 0.023
Alanine 0.045
Aspartic acid 0.215
Glutamic acid 0.570
Glycine 0.038
Proline 0.030
Serine 0.042
(Source: U.S. Department of Agriculture, Agricultural Research Service (2010). USDA
National Nutrient Database for Standard Reference, Release 23. Nutrient Data Laboratory
Home Page, http://www.ars.usda.gov/ba/bhnrc/ndl)
Where applicable, values represent mean ± SEM of replications
a mean ± SEM of 31 data points;
b mean ± SEM of 12 data points;
c mean ± SEM of 27
data points; d mean ± SEM of 33 data points
Table 2.2 continued