Sugarcane bagasse as raw material and immobilization support for xylitol production
Mathematical modeling of thin-layer drying of fermented and non-fermented sugarcane bagasse
Transcript of Mathematical modeling of thin-layer drying of fermented and non-fermented sugarcane bagasse
b i o m a s s a n d b i o e n e r g y 3 4 ( 2 0 1 0 ) 7 8 0 – 7 8 6
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Mathematical modeling of thin-layer drying of fermented andnon-fermented sugarcane bagasse
Marcio A. Mazutti a,*, Giovani Zabot a, Gabriela Boni a, Aline Skovronski a,Debora de Oliveira a, Marco Di Luccio a, J. Vladimir Oliveira a, Maria Isabel Rodrigues b,Helen Treichel a,*,*, Francisco Maugeri b
a Department of Food Engineering, URI – Campus de Erechim, P.O. Box 743, CEP 99700-000, Erechim – RS, Brazilb Department of Food Engineering, Faculty of Food Engineering, University of Campinas – UNICAMP, P.O. Box 6121, CEP 13083-862,
Campinas – SP, Brazil
a r t i c l e i n f o
Article history:
Received 29 May 2009
Received in revised form
11 December 2009
Accepted 18 January 2010
Available online 2 February 2010
Keywords:
Solid-state fermentation
Sugarcane bagasse
Thin-layer
Mathematical modeling
Kluyveromyces marxianus NRRL
Y-7571
Effective diffusivities
* Corresponding author.** Corresponding author. Tel.: þ55 54 35209
E-mail addresses: [email protected]/$ – see front matter ª 2010 Elsevidoi:10.1016/j.biombioe.2010.01.021
a b s t r a c t
This work reports hot-air convective drying of thin-layer fermented and non-fermented
sugarcane bagasse. For this purpose, experiments were carried out in a laboratory-scale
dryer assessing the effects of solid-state fermentation (SSF) on the drying kinetics of the
processing material. The fermented sugarcane bagasse in SSF was obtained with the use of
Kluyveromyces marxianus NRRL Y-7571. Drying experiments were carried out at 30, 35, 40
and 45 �C, at volumetric air flow rates of 2 and 3 m3 h�1. The ability of ten different thin-
layer mathematical models was evaluated towards representing the experimental drying
profiles obtained. Results showed that the fermented sugarcane bagasse presents
a distinct, faster drying, behavior from that verified for the non-fermented material at the
same conditions of temperature and volumetric air flow rate. It is shown that the fer-
mented sugarcane bagasse presented effective diffusion coefficient values of about 1.3
times higher than the non-fermented material. A satisfactory agreement between exper-
imental data and model results of the thin-layer drying of fermented and non-fermented
sugarcane bagasse was achieved at the evaluated experimental conditions.
ª 2010 Elsevier Ltd. All rights reserved.
1. Introduction content and temperature of the bed in large-scale bioreac-
Solid-state fermentation (SSF) involves the growth of
microorganisms on moist solid particles with a minimum of
free water in the inter-particle spaces. Due to the particular
environmental conditions imposed on the microorganism,
this fermentation technique has the potential to produce
selected microbial products better than submerged liquid
fermentation. However, SSF processes studied in the labo-
ratory are rarely scaled-up to commercial purposes. One of
the major barriers is the difficulty in controlling the water
000; fax: þ55 54 35209090(M.A. Mazutti), helen@urer Ltd. All rights reserved
tors [1–3].
In the recent years, mathematical models have been
developed as tools to help developing SSF bioreactor design and
establish proper operating strategies to overcome such diffi-
culties. More sophisticated models for packed-bed bioreactors,
which the bed remains static for long periods without the water
addition through the fermentation, taking into account the
simultaneous heat and mass transfer during the SSF, where the
evaporative cooling is the most efficient method to remove the
metabolic heat on the medium. However, as high is the water
.icer.edu.br (F. Treichel)..
Table 1 – Characterization of the substrates employed inthe fermentation medium formulation.
Sugarcane Bagasse Soybean Bran CSL
Moisture (wt%) 3.0 3.0 55.0
Protein (wt%) nd 42.5 18.8
Lipids (wt%) nd 8.5 1.0
Carbohydrate (wt%) 40.0 30.0 7.5
Fiber (wt%) nd 10.0 13.0
Ash (wt%) 2.4 6.0 4.5
nd: not determined.
b i o m a s s a n d b i o e n e r g y 3 4 ( 2 0 1 0 ) 7 8 0 – 7 8 6 781
evaporation through convection more accentuated is the
decreasing of water activity of the solids [3]. The mathematical
models should also take into account how the growth rate of
the microorganism is affected by the amount of water in the
solids [4]. In this case, the isotherm and/or the drying kinetic of
the solids must be known since the water balance equation
calculates the water content of the solids, while the driving
force for evaporation and the growth rate of the process
microorganism are related to the water activity.
Most of the models available in the literature assume
implicitly that the isotherm of the fermenting solids is equal to
that of the substrate itself. Marques et al. demonstrated that
the effect of the biomass on the isotherm needs also to be
considered in mathematical models of SSF bioreactors [1]. In
order to evaluate the effects of the fermentation process on the
drying characteristics of substrate is necessary to investigate
the influence of temperature and volumetric air flow rate on
the drying profiles of fermented and non-fermented material.
Thin-layer drying equations are used to estimate the time
course of drying process of several products and also to
generalize drying curves. Several researchers have proposed
numerous models for thin-layer drying of many agricultural
products [5,6]. Currently, there are three types of thin-layer
models used to describe the drying phenomenon. Namely,
theoretical model, which considers only the internal resistance
to moisture transfer between product and heating air, semi-
theoretical and empirical which consider only the external
resistance [7]. Theoretical model requires assumptions on the
geometry of a typical food, its mass diffusivity and conduc-
tivity; empirical model neglects the fundamentals of drying
process and presents a direct relationship between average
moisture and drying time by means of regression analysis [6].
In this context, the main objective of the present work is to
investigate the drying kinetics of the fermented and non-fer-
mented sugarcane bagasse, evaluating the effects of hot-air
inlet temperature and volumetric flow rate. In addition,
a mathematical model was applied to represent experimental
results of thin-layer drying kinetics of sugarcane bagasse.
2. Material and methods
2.1. Experimental material
Sugarcane bagasse samples were obtained from a local
distillery, manually crushed, dried at 60 �C for 24 h and
Table 2 – Mathematical models applied to the drying curves.
Model Number Model
1 MR¼ exp(�k� t)
2 MR¼ exp(�k� tn)
3 MR¼ exp(�(k� t)n)
4 MR¼ a� exp(�k� t)
5 MR¼ a� exp(�k� t)þb� exp(�k1
6 MR¼ a� exp(�k� t)þb
7 MR¼ a� exp(�k� t)þ(1�a)� exp
8 MR¼ exp(�k� tn)þb� t
9 MR¼ a� exp(�k� t)þb� exp(�k1
10 MR¼ aþb� tþ c� t2
maintained at �8 �C until the moment of the experimental
runs. Samples were observed to have macroscopic non-
homogeneities due to the fibrous structure of material. The
samples were composed of 30 g of dry bagasse, supplemented
with 15% (w/w) of soybean meal and 30% (w/w) of corn steep
liquor, which the individual composition of the substrates
shown in Table 1. The moisture content of the samples was
corrected to 65% (w/w) and autoclaved at 121 �C for 20 min.
The bulk density was measured to be 660 kg m�3 and 95% of
particles present a mean particle size in the range of
0.5–1.98 mm.
2.2. Microorganism, cell production and fermentations
The strain of Kluyveromyces marxianus NRRL Y-7571 was
maintained on YM agar medium (g L�1): yeast extract 3.0, malt
extract 3.0, peptone 5.0, glucose 10.0, agar 20.0, and sub-
cultured every 3 weeks. Cell production for pre-inoculum was
carried out in 50 mL test tubes with 10 mL of liquid YM
medium. The medium was inoculated with a loopful of stock
culture and incubated at 30 �C for 24 h. Medium for pre-inoc-
ulum contained (g L�1): sucrose 20.0, yeast extract 5.0, K2HPO4
5.0, NH4Cl 1.5, KCl 1.15, and MgSO4.7H2O 0.65. Each test tube
with YM medium was transferred to a 500 mL Erlenmeyer
flask with 100 mL of medium and incubated at 30 �C and
150 rpm for 24 h [8].
Fermented samples were obtained through fermentations
carried out in batch tray reactors. The flasks were inoculated
with 3 mL of cell suspension and incubated by 72 h in
a chamber with temperature and humidity control, the former
kept at 36 �C [8]. After the fermentation, samples were dried at
60 �C for 24 h and maintained at �8 �C prior to the experi-
mental runs.
References
Bruce [11]
Menges and Ertekin [5]
White et al. [12]
Henderson and Pabis [13]
� t) Henderson [14]
Togrul and Pehlivan [15]
(�k� a� t) Yaldiz et al. [16]
Midilli et al. [7]
� t)þc� exp(�k2� t) Togrul and Pehlivan [15]
Wang et al. [6]
0 20 40 60 80 100 120 140 160 1800.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0 30°C 35°C 40°C 45°C
Moi
stur
e R
atio
Time (min)
0 20 40 60 80 100 120 140 160 1800.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0 30°C 35°C 40°C 45°C
Moi
stur
e R
atio
Time (min)
0 10 20 30 40 50 60 70 80 90 100 110 120 1300.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0 30°C 35°C 40°C 45°C
Moi
stur
e R
atio
Time (min)
a
b
c
Fig. 1 – Thin-layer drying curves of sugarcane bagasse:
a) sugarcane bagasse before the fermentation process at
volumetric air flow rate of 2 m3 hL1, b) sugarcane bagasse
after the fermentation process at volumetric air flow rate of
2 m3 hL1, c) sugarcane bagasse after the fermentation
process at volumetric air flow rate of 3 m3 hL1.
b i o m a s s a n d b i o e n e r g y 3 4 ( 2 0 1 0 ) 7 8 0 – 7 8 6782
2.3. Experimental apparatus
Drying experiments were carried out in a laboratory-scale
drier (Intecnial S.A. – Brazil). The drier consists basically of
three basic units, a fan providing the desired air velocity,
a heating and heating control unit and a drying chamber. The
heating control unit has an electrical heater (3 kW) placed
inside a duct. The product was spread in a thin layer on an
aluminum tray just 3 cm below a PT100 (Novus-Brazil)
thermo-resistance, located in the center of the chamber. The
dry bulb temperature was measured directly with the PT100
which was attained by electrical resistance heating and
controlled by the heating control unit. The air coming from
the heater at the desired temperature entered into the
chamber through openings on the right-side wall of the
chamber and flowed out through openings on the left-side
wall of the drying chamber. The required air flow rate for
drying was kept at the desired level at about 3 cm just above
the tray surface using a gas meter (LAO Ltda-Brazil). The
amounts of material were weighed on an analytical balance
(Gilbertini E254 with 0.001 g accuracy).
2.4. Experimental procedure
Drying experiments were performed at 30, 35, 40, and 45 �C
with volumetric inlet air flow rates of 2.0 and 3.0 m3 h�1 for the
samples of bagasse before and after the fermentation process,
respectively. The thickness of the sample layer was about
10 mm weighting 30 g. The weight of a tray with the sample
was measured with the analytic balance and periodically
recorded. For measuring the weight of the sample during the
experimentation, the tray with sample was taken out of the
drying chamber, weighed on the digital top pan balance and
placed back on the chamber; the digital balance was very close
to the drying unit. The drying procedure was proceeded until
no appreciable variation of the moisture content of the sample
was recorded. Triplicate runs were performed for experi-
mental conditions investigated in this work.
2.5. Theoretical considerations
2.5.1. Mathematical modeling of the thin-layer dryingkineticsFor investigation of drying characteristics of the fermented
and non-fermented sugarcane bagasse, it is important to try
to represent as accurate as possible the drying behavior. In
this study, the experimental drying data of fermented and
non-fermented sugarcane bagasse at different temperatures
and volumetric air flow rate were fitted using 10 commonly
used thin-layer drying models, listed in Table 2. In these
models, MR represents the dimensionless moisture ratio,
namely:
MR ¼ ðM�MeÞðM0 �MeÞ
(1)
where M is the moisture content of the product, M0 is the
initial moisture content of the product and Me is the equilib-
rium moisture content.
The values of Me are relatively small compared to M and M0
for long drying times and accordingly one can write:
Table 3 – Values of effective diffusivities obtained from different thin-layer drying conditions.
Description Effective Diffusivities (m2 s�1)
30 �C 35 �C 40 �C 45 �C
Non-fermented sugarcane bagasse at volumetric
air flow rate of 2 m3 h�1
1st Period 5.82� 10�9 7.22� 10�9 8.92� 10�9 9.67� 10�9
2nd Period 6.76� 10�11 1.35� 10�10 1.35� 10�10 3.38� 10�10
Fermented sugarcane bagasse at volumetric
air flow rate of 2 m3 h�1
1st Period 5.47� 10�9 9.38� 10�9 1.07� 10�8 1.32� 10�8
2nd Period 1.22� 10�10 1.35� 10�10 2.03� 10�10 2.70� 10�10
Fermented sugarcane bagasse at volumetric
air flow rate of 3 m3 h�1
1st Period 9.18� 10�9 1.12� 10�8 1.24� 10�8 1.47� 10�8
2nd Period 6.76� 10�11 2.03� 10�10 4.05� 10�10 5.40� 10�10
b i o m a s s a n d b i o e n e r g y 3 4 ( 2 0 1 0 ) 7 8 0 – 7 8 6 783
MR ¼ M
M0(2)
2.5.2. Correlation coefficients and error analysisThe ability of the tested mathematical model to represent the
experimental data was evaluated through the correlation
coefficient (R2) and the reduced chi-square (c2) parameter. The
higher the R2 and lower the c2 values, the better is the fitting
procedure. The chi-square (c2) can be calculated as follows:
c2 ¼PN
i¼1
�MRexp;i �MRpred;i
�2
N� z(3)
where MRexp,i and MRpred,i are the ith experimental and pre-
dicted moisture ratio, respectively, N is the number of obser-
vations and z is the number of parameters. In this study, the
nonlinear or linear regression analysis was performed using the
statistica software Statistica 7.0 (Statsoft Inc., Tulsa, OK, USA).
2.5.3. Calculation of effective diffusivitiesIt has been accepted that the drying characteristics of bio-
logical products in falling rate period can be described by
using Fick’s diffusion equation. The solution to this equation
Table 4 – Statistical results of the 10 models for the non-fermented sugarcane bagasse at volumetric air flow rateof 2 m3 hL1 and at different thin-layer dryingtemperatures.
ModelNumber
Statistical tests
30 �C 35 �C 40 �C 45 �C
1 R2¼ 0.8251 R2¼ 0.9767 R2¼ 0.7570 R2¼ 0.6473
c2¼ 0.0065 c2¼ 0.0021 c2¼ 0.0092 c2¼ 0.0126
2 R2¼ 0.9492 R2¼ 0.9766 R2¼ 0.9515 R2¼ 0.9287
c2¼ 0.0020 c2¼ 0.0011 c2¼ 0.0019 c2¼ 0.0027
3 R2¼ 0.9492 R2¼ 0.9766 R2¼ 0.9515 R2¼ 0.9287
c2¼ 0.0020 c2¼ 0.0011 c2¼ 0.0019 c2¼ 0.0027
4 R2¼ 0.8757 R2¼ 0.9607 R2¼ 0.8433 R2¼ 0.7765
c2¼ 0.0049 c2¼ 0.0019 c2¼ 0.0063 c2¼ 0.0085
5 R2¼ 0.9973 R2¼ 0.9982 R2¼ 0.9989 R2¼ 0.9968
c2¼<0.0001 c2¼<0.0001 c2¼<0.0001 c2¼<0.0001
6 R2¼ 0.9920 R2¼ 0.9918 R2¼ 0.9971 R2¼ 0.9951
c2¼ 0.0003 c2¼ 0.0004 c2¼ 0.0001 c2¼ 0.0002
7 R2¼ 0.9090 R2¼ 0.9787 R2¼ 0.8683 R2¼ 0.7914
c2¼ 0.0036 c2¼ 0.0010 c2¼ 0.0053 c2¼ 0.0079
8 R2¼ 0.9982 R2¼ 0.9981 R2¼ 0.9981 R2¼ 0.9930
c2¼ 0.0001 c2¼<0.0001 c2¼<0.0001 c2¼ 0.0003
9 R2¼ 0.9978 R2¼ 0.9989 R2¼ 0.9992 R2¼ 0.9968
c2¼ 0.0001 c2¼<0.0001 c2¼<0.0001 c2¼ 0.0002
10 R2¼ 0.9871 R2¼ 0.9988 R2¼ 0.9690 R2¼ 0.9400
c2¼ 0.0005 c2¼ 0.0001 c2¼ 0.0013 c2¼ 0.0024
developed by Crank can be used for various regularly shaped
bodies such as rectangular, cylindrical and spherical products,
and the form of Eq. (4) can be applicable for particles with slab
geometry, as is the case of the sugarcane bagasse, by
assuming uniform initial moisture distribution [9]:
MR ¼ 8p2
XNn¼0
1
ð2nþ 1Þ2exp
� ð2nþ 1Þ2p2Deff t
4L20
!(4)
where Deff is the effective diffusivity (m2 s�1), L0 is the half
thickness of slab (m). For long drying periods, Eq. (4) can be
further simplified to retain only the first term of the series
allowing re-writing Eq. (4) in a logarithmic form as follows:
lnMR ¼ ln8
p2� p2Defft
4L20
(5)
Diffusivities are typically determined by plotting experi-
mental drying data in terms of ln MR versus drying time in Eq.
(5), providing a straight line with the slope given by:
slope ¼ p2Deff
4L20
(6)
3. Results and discussion
3.1. Analysis of drying characteristics of fermented andnon-fermented sugarcane bagasse
The fermented and non-fermented sugarcane bagasse were
dried at 30, 35, 40, and 45 �C in the convective hot-air drier
with volumetric air flow rates of 2 and 3 m3 h�1, adopting thin-
layer thickness of about 10 mm. The initial moisture content
of sugarcane bagasse was about 0.65 kg water per kg of dry
matter. These experimental conditions were chosen because
they are commonly employed during the cultivation of K.
marxianus NRRL Y-7571 yeast in solid-state fermentation. The
moisture ratio versus drying time for fermented and non-
fermented sugarcane bagasse at the selected temperatures
and volumetric air flow rates are shown in Fig. 1.
Obviously, within a certain temperature range (30–45 �C),
an increase in drying temperature speeds up the drying
process, thus shortening the drying time for both, fermented
and non-fermented sugarcane bagasse. During the operation
of packed-bed bioreactors for SSF using sugarcane bagasse as
substrate, in which a raise in the moist solid temperature is
unavoidable, there is a drastic reduction in the water content
of the solid in the first operation hours, hence limiting the
process performance, since at low water activity levels the
growth is practically inhibited.
b i o m a s s a n d b i o e n e r g y 3 4 ( 2 0 1 0 ) 7 8 0 – 7 8 6784
Inspection of Fig. 1a and b shows the existence of differ-
ences between fermented and non-fermented sugarcane
bagasse for the volumetric air flow rate of 2 m3 h�1. The
moisture ratio experimentally observed for the non-fer-
mented sugarcane bagasse after 180 min drying was around of
0.37 for all temperatures investigated, while for the fermented
material at the same conditions a value of around 0.31 was
reached. On the other hand, comparison of the moisture ratio
for the fermented sugarcane bagasse obtained at the volu-
metric air flow rates of 2 and 3 m3 h�1 at 130 min, shows that
differences in the final values were not significant. Results
thus indicate that the fermented sugarcane bagasse can be
dried faster than the non-fermented one. This may be due to
the fact that the fermentation process by the K. marxianus
NRRL Y-7571 consumes the sugar present in the bagasse
(glucose, fructose, sucrose, amongst others), which can absorb
some water, hence retarding the drying of the material,
altering the drying isotherm of the material.
According to the results obtained, the effect of biomass
and/or the sugar consumption during the fermentation on the
drying process of sugarcane bagasse should be taken into
account in mathematical modeling step of SFF bioreactors so
as to allow safe predictions. Otherwise, not only will the
model fail to predict the changes in the water activity during
the fermentation, but also it will underestimate the amount of
water addition required. This may lead to unexpectedly poor
growth and problems may be more significant with solids for
which the water activity of the solid varies significantly with
water content, and with microorganisms whose growth rate is
more sensitive to small changes in the water activity [1].
Results obtained in the present study show that fermented
solids may lead to a drying isotherm quite distinct from that of
the substrate itself. Similar results are found in the literature
regarding the effects of the fermentation process on the
isotherm of the solids materials. For example, Marques et al.
Table 5 – Estimated parameters and statistical results obtained
Description
30 �C
Non-fermented sugarcane bagasse at volumetric
air flow rate of 2 m3 h�1
R2¼ 0.9973
c2¼<0.0001
a¼ 0.8826
k¼ 0.0153
b¼ 0.1299
k1¼�0.0054
Fermented sugarcane bagasse at volumetric
air flow rate of 2 m3 h�1
R2¼ 0.9979
c2¼ 0.0001
a¼ 0.9987
k¼ 0.0093
b¼ 0.0108
k1¼�0.0154
Fermented sugarcane bagasse at volumetric
air flow rate of 3 m3 h�1
R2¼ 0.9943
c2¼ 0.0003
a¼ 0.6044
k¼ 0.0523
b¼ 0.3836
k1¼ 0.0013
compared the isotherms for non-fermented and fermented
soybeans with Rhizopus oryzae, showing that in solid-state
fermentation the biomass and/or the products obtained
during the fermentation affects the isotherm of the ferment-
ing solids [1]. Corona et al. determined the isotherms at
various incubation times during the growth of Gibberella fugi-
kuori on a solid substrate consisting of wheat bran and soluble
starch [10].
3.2. Determination of effective diffusivities
In this study, two falling rate periods were observed (Fig. 1), one
corresponding to an approximately constant slope from which
the effective diffusion coefficient is calculated. Separation of
first and second falling periods was taken to be at about the
moisture ratio of 0.40. The values of effective diffusivities (Deff)
of fermented and non-fermented sugarcane bagasse for the
two falling periods are presented in Table 3. As expected, the
values of Deff increased with increasing drying temperature.
The effective diffusivities in the first falling period ranged from
5.82� 10�9 to 1.47� 10�8 m2 s�1, whereas for the second period
the variation was from 6.76� 10�11 to 5.40� 10�10 m2 s�1. The
effective diffusivities in the first period were in average 33
times greater than those found for the second period. This
occurs because the diffusion rate is directly proportional to the
moisture content of the solids, and as the drying takes place the
water content decreases thus diminishing the values of Deff. In
the second falling period the moisture content of sugarcane
bagasse approaches the equilibrium moisture content, leading
to low variations in Deff values.
Table 3 shows that the fermented sugarcane bagasse
affords higher values of Deff, about 1.3 times, than the non-
fermented sugarcane bagasse at the volumetric air flow rate of
2 m3 h�1 for the first falling period. Furthermore, upon
increasing the volumetric air flow rate from 2 to 3 m3 h�1 for
from different thin-layer drying conditions for model 5.
Model Parameters
35 �C 40 �C 45 �C
R2¼ 0.9982 R2¼ 0.9989 R2¼ 0.9968
c2¼<0.0001 c2¼<0.0001 c2¼<0.0001
a¼ 1.0033 a¼ 0.7795 a¼ 0.7377
k¼ 0.0092 k¼ 0.0222 k¼ 0.0280
b¼ 0.0050 b¼ 0.2281 b¼ 0.2820
k1¼�0.0199 k1¼�0.0023 k1¼�0.0015
R2¼ 0.9837 R2¼ 0.9987 R2¼ 0.9995
c2¼ 0.0010 c2¼<0.0001 c2¼<0.0001
a¼ 0.9766 a¼ 0.6965 a¼ 0.7472
k¼ 0.0179 k¼ 0.0374 k¼ 0.0359
b¼ 0.0672 b¼ 0.3083 b¼ 0.2589
k1¼�0.0080 k1¼�8.00� 10�5 k1¼�2.43� 10�4
R2¼ 0.9973 R2¼ 0.9923 R2¼ 0.9987
c2¼ 0.0002 c2¼ 0.0005 c2¼<0.0001
a¼ 1.0035 a¼ 0.8197 a¼ 0.7069
k¼ 0.0149 k¼ 0.0322 k¼ 0.0359
b¼ 0.0115 b¼ 0.1970 b¼ 0.2993
k1¼�0.0219 k1¼�0.0041 k1¼�0.0011
Table 6 – Effect of drying temperature on the parameters of the selected model (Model 5).
Description Equations
Non-fermented sugarcane bagasse at volumetric air flow rate of 2 m3 h�1 a¼ 0.0007 T3� 0.0806 T2þ 3.0343 T� 36.5600
k¼�0.00004 T3þ 0.0041 T2� 0.1540 Tþ 1.9258
b¼�0.0007 T3þ 0.0794 T2� 2.9944 Tþ 37.151
k1¼�0.00007 T3þ 0.0075 T2� 0.2826 Tþ 3.4941
Fermented sugarcane bagasse at volumetric air flow rate of 2 m3 h�1 a¼ 0.0008 T3� 0.0876 T2þ 3.1965 T� 37.2600
k¼�0.00004 T3þ 0.0047 T2� 0.1677 Tþ 1.9730
b¼�0.0006 T3þ 0.0702 T2� 2.5415 Tþ 30.1620
k1¼�0.00001 T3þ 0.0012 T2� 0.0411 Tþ 0.4329
Fermented sugarcane bagasse at volumetric air flow rate of 3 m3 h�1 a¼ 0.0009 T3� 0.1032 T2þ 4.0199 T� 50.6500
k¼�0.00009 T3þ 0.0107 T2� 0.4110 Tþ 5.2502
b¼�0.0009 T3þ 0.0101 T2� 3.9179 Tþ 50.2110
k1¼�0.00007 T3þ 0.0086 T2� 0.3290 Tþ 4.1207
b i o m a s s a n d b i o e n e r g y 3 4 ( 2 0 1 0 ) 7 8 0 – 7 8 6 785
the first falling period resulted in a raise of about 30% in Deff
values.
3.3. Modeling of drying curves
In attempt to represent the experimental data obtained, the
experimental moisture content data were used on dry weight
basis. These moisture content data at any time of drying
process obtained at different drying air temperatures and
volumetric air flow rate for the fermented and non-fermented
sugarcane bagasse were converted to the moisture ratio
values and fitted against drying time. Ten thin-layer drying
models were compared in terms of resulting statistical
parameters such as correlation coefficient (R2) and chi-square
(c2). Table 4 presents the statistical results of the different
models, where one can verify the comparison criteria used to
evaluate the fitting quality, namely R2 and c2 for the non-fer-
mented sugarcane bagasse at volumetric air flow rate of
2 m3 h�1 and at different thin-layer drying temperatures.
Experimental kinetic drying results indicated that the lowest
values of c2 and the highest values of R2 were obtained for
models 5 and 9. As model 9 has a greater number of adjustable
parameters and presented a similar performance compared to
model 5 in terms of fitting quality, it was rejected being model
5 chosen to describe the experimental data.
Table 5 presents the parameters estimated for model 5, as
well as the statistical results of the estimation procedure.
Although the experimental and predicted drying profiles are
not presented, a very good agreement between correlated and
experimental data was achieved, as can be checked by the
regression coefficients for each estimation and the low values
obtained for the chi-square. Thus, model 5 showed to be
capable of adequately describing the thin-layer drying
behavior of fermented and non-fermented sugarcane bagasse
at the experimental conditions investigated.
To take into account the effect of drying temperature on
the model parameters, namely a, k, b and k1, and attempting to
generalize the model, a regression analysis was applied to set
up the relationship between these parameters and the
temperature for the fermented sugarcane bagasse at the
volumetric air flow rates of 2 and m3 h�1 and for the non-
fermented sugarcane bagasse at volumetric air flow rate of
2 m3 h�1. The regression equations of these parameters
against drying temperature (�C) for each experimental condi-
tion are presented in Table 6. After comparing the experi-
mental moisture ratio values with predicted ones at any
particular drying condition for validation of the established
model, these values laid around a straight line (data not
shown), which means that, the generalized model is valid at
drying air temperatures of 30–45 �C for each condition or
volumetric air flow rate and for fermented and non-fermented
sugarcane bagasse.
4. Conclusion
The characteristics of drying kinetics of fermented and non-
fermented sugarcane bagasse with about 10 mm of thickness
in a hot-air dryer were evaluated and experimental data were
then represented by commonly employed models. Results
obtained showed that the fermented sugarcane bagasse has
a distinct behavior from that verified for the non-fermented
material at the same conditions of temperature and volu-
metric air flow rate. The fermented sugarcane bagasse dried
faster that the non-fermented material due to the consump-
tion of sugar during the fermentation. It was experimentally
observed that the fermented sugarcane bagasse showed
higher values of Deff, about 1.3 times, than the non-fermented
sugarcane bagasse. Among all tested models, model 5 was
showed to be the most suitable to describe the thin-layer
drying behavior of fermented and non-fermented sugarcane
bagasse for the experimental conditions studied.
Acknowledgements
The authors are grateful to CAPES (Project PROCAD/CAPES
0337/05-6), FAPERGS, CNPq, FEA/UNICAMP and URI-Campus
Erechim for financial support of this work and scholarships.
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