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Transcript of Optimization of the sonication extraction method of Hibiscus tiliaceus L. flowers
www.elsevier.com/locate/ultsonch
Ultrasonics Sonochemistry 13 (2006) 242–250
Optimization of the sonication extraction method ofHibiscus tiliaceus L. flowers
Maria Ines Soares Melecchi a, Valeria Flores Peres a,b, Claudio Dariva c,Claudia Alcaraz Zini a, Fernanda Contieri Abad a, Migdalia Miranda Martinez b,
Elina Bastos Caramao a,*
a Chemistry Institute, UFRGS, Porto Alegre, RS, av. Bento Goncalves, 9500, CEP 91501-960, RS, Brazilb Universidad de la Habana, Cuba
c URI-Campus de Erechim, RS, Brazil
Received 20 August 2004; accepted 14 February 2005
Available online 1 July 2005
Abstract
The influence of several experimental parameters on the ultrasonic extraction of Hibiscus tiliaceus L. flowers were investigated:
extraction time, solvent polarity, sample amount, solvent volume and sample particle size. It was concluded that the most influential
variables were extraction time and solvent polarity. The optimized procedure employed 5 g of ground flowers, 150 mL of methanol
and 140 min of extraction. The extracts were fractionated using preparative silica columns and the resulting fractions were analyzed
by GC/MS. Some saturated hydrocarbons, fatty acids, fatty acid methyl esters, phytosterols, and vitamin E were identified in the
plant extracts.
� 2005 Elsevier B.V. All rights reserved.
Keywords: Sonication; Hibiscus tiliaceus L.; GC/MS
1. Introduction
Identification of organic compounds from plant ex-
tracts is of great importance, mainly because they can
be used as an excellent source of phytotherapics. The
usual extraction procedures for the isolation of organic
compounds of medicinal plants are maceration, percola-
tion, and Soxhlet extraction [1]. These techniques usu-
ally require long extraction times, providing lowefficiencies. Moreover, many natural products are ther-
mally unstable and may degrade during conventional
processes where the matrix is kept in a boiling solvent,
such as Soxhlet extraction [2,3].
1350-4177/$ - see front matter � 2005 Elsevier B.V. All rights reserved.
doi:10.1016/j.ultsonch.2005.02.003
* Corresponding author. Tel.: +55 51 3316 7213; fax: +55 51 3316
7304.
E-mail address: [email protected] (E.B. Caramao).
Many reports on the beneficial effects of medicinalplants ultrasound extractions have been published [4–
6], and the main reported improvements have been
found to be enhanced efficiency and shortening of
extraction time [1,2,7]. A most likely mechanism for
ultrasonic extraction is an enhanced mass transfer, the
improved penetration of the solvent into the vegetal
due to cell disruption, and capillary effects [8,9].
The effects of the collapse of cavitation bubbles pro-duced by ultrasound on the cell walls of plants can be
described by the following mechanisms [10,11]: some
plant cells have glands filled with essential oil and one
characteristic of external glands is that their skin is very
thin and can be easily destroyed by sonication, thus
facilitating release of essential oil contents into the
extraction solvent. On the other hand, ultrasound can
also facilitate the swelling and solvatation of plant
M.I. Soares Melecchi et al. / Ultrasonics Sonochemistry 13 (2006) 242–250 243
materials causing enlargement of the pores of the cell
wall. Better swelling will improve the rate of mass trans-
fer and, occasionally, break the cell walls, thus resulting
in increased extraction efficiency and/or reduced extrac-
tion time.
Other advantages of this technique are its high repro-ducibility, the possibility of using a wide range of sample
sizes and the low cost of the whole process [12–14].
The optimization of ultrasound operational parame-
ters (solvent polarity, sample particle size, etc.) accord-
ing to a specific plant matrix (leaves, flowers, stems,
etc.) is also of main importance in order to achieve high
extraction efficiency [8]. A further step is the use of pre-
fractionation techniques, such as preparative liquidchromatography to allow a reasonable characterization
of the individual constituents of complex mixtures of
plant extracts using gas chromatography with mass
spectrometer detector (GC/MS) or other highly efficient
instrumental technique [15,16].
Hibiscus (H.) tiliaceus L. is a typical plant of tropical
climate found in mangrove areas. Its flowers are used in
traditional medicine in the Asian and African countries[15], but information concerning its chemical composi-
tion is scarce in the scientific literature.
The goal of this work is the optimization of the H. til-
iaceus L. flowers sonication extraction and the chemical
characterization of the extracts obtained. Optimization
of the extraction process was performed by testing dif-
ferent sonication times, polarity of the extractor sol-
vents, particle size, sample amounts, and mass offlowers/volume of solvent extractor ratio. The extracts
were fractionated using silica gel preparative liquid
chromatography and the resulting fractions were ana-
lyzed by GC/MS.
2. Experimental
2.1. Equipments
An ultrasonic cleaning bath model Thorton T-14,
with 90 W of potency, 40 KHz of frequency and
0.27 W cm�2 of radiation intensity was used. The inter-
nal dimensions of the water bath were of
24 cm · 14 cm · 10 cm. The bath was kept at constant
temperature (25 �C) during all the extraction processesby changing the water after each 30 min of extraction.
The extracts were filtered and concentrated under re-
duced pressure.
GC/MS analyses were made in a quadrupole analyzer
Shimadzu QP 5050A using a capillary column-OV-5
(30 m · 0.25 mm · 0.25 lm). The chromatographic con-
ditions were: split injection (1:40); helium (Air Products,
Rio de Janeiro, Brazil) at a flow rate of 1.5 mL min�1;ionization by electronic impact with 70 eV. The column
temperature program began at 50 �C and reached
280 �C with a heating rate of 5 �C/min and remained
at the final temperature for 50 min. Injector and inter-
face were kept at 280 �C. Several compounds were iden-
tified comparing their mass spectra and retention data
with the ones of standard compounds. Other com-
pounds were only tentatively identified comparing theirmass spectra with the Willey library mass spectra.
2.2. Materials
All reagents were p.a. grade, and were purchased
from Merck GmbH (Darmstadt, German). Solvents
(n-hexane, benzene, dichloromethane, ethyl acetate and
methanol) were distilled twice and stored in dark flasks
until use. Silica gel 60 (Merck GmbH) having a particle
size of 0.063–0.200 mm (70–230 mesh ASTM), was em-
ployed in the preparative liquid chromatographic frac-
tionation (PLC). It was activated at 140 �C for 4 h.
2.3. Sample preparation
H. tiliaceus L. flowers were collected in Florianopolis,Santa Catarina—Brazil in January 2003. Sampling was
performed only once, as H. tiliaceus L. is a seasonal
plant. The plant was catalogued in the Botanical Insti-
tute of the Federal University of Rio Grande do Sul
(UFRGS), Brazil, with the herbarium number ICN:
113936, and identified by Dr. B. Irgand (Bio-sciences
Institute/Department of Botanical UFRGS, RS, Brazil)
as H. tiliaceus L. Flowers were oven dried, with air cir-culation, at 40 �C.
2.4. Sonication extraction: study of some parameters
The extractor solvents for the first sonication proce-
dure were hexane, ethyl acetate, and methanol. In paral-
lel another study was accomplished by using only
methanol as solvent extractor (5 g of sample for
150 mL solvent). All fractions underwent a chromato-
graphic fractionation scheme using preparative silica
columns.
Optimization of sonication procedure was firstly per-formed using a fractional factorial drawing 25�1. The
proposed matrix provided 16 experiments [17,18] and
the evaluated parameters were:
X1 (extraction time): the effect was evaluated using 40
and 180 min;
X2 (solvent polarity): two solvents of opposite polar-
ities, n-hexane (non-polar) and methanol (polar);X3 (amount of sample): 5 and 15 g;
X4 (particle size): the whole intact flowers and ground
flowers;
X5 (mass of sample/volume of solvent ratio): 1:10 and
1:30.
Table 1
Variables and results of the fractional factorial drawing5�1
Run Variables and values Mass yield (%)
X1 X2 X3 X4 X5 Experimental Theoretical
1 (+1) 180 (�1) Hexane (+1) 15 (�1) Ground (+1) 1:30 4.53 3.96
2 (+1) 180 (�1) Hexane (�1) 5 (�1) Ground (�1) 1:10 2.00 2.03
3 (�1) 40 (+1) Methanol (�1) 5 (+1) Whole (+1) 1:30 9.00 7.98
4 (�1) 40 (�1) Hexane (+1) 15 (�1) Ground (�1) 1:10 2.00 1.16
5 (�1) 40 (�1) Hexane (+1) 15 (+1) Whole (+1) 1:30 2.26 3.29
6 (+1) 180 (�1) Hexane (�1) 5 (+1) Whole (+1) 1:30 4.40 4.16
7 (�1) 40 (�1) Hexane (�1) 5 (�1) Ground (+1) 1:30 2.20 3.09
8 (+1) 180 (+1) Methanol (�1) 5 (+1) Whole (�1) 1:10 5.00 3.98
9 (+1) 180 (+1) Methanol (+1) 15 (+1) Whole (+1) 1:30 9.40 8.85
10 (�1) 40 (+1) Methanol (�1) 5 (�1) Ground (�1) 1:10 5.80 5.85
11 (�1) 40 (�1) Hexane (�1) 5 (+1) Whole (�1) 1:10 1.20 0.96
12 (+1) 180 (+1) Methanol (+1) 15 (�1) Ground (�1) 1:10 5.20 6.71
13 (�1) 40 (+1) Methanol (+1) 15 (�1) Ground (+1) 1:30 5.73 5.24
14 (+1) 180 (�1) Hexane (+1) 15 (+1) Whole (�1) 1:10 1.93 1.83
15 (+1) 180 (+1) Methanol (�1) 5 (�1) Ground (+1) 1:30 5.20 6.11
16 (�1) 40 (+1) Methanol (+1) 15 (+1) Whole (�1) 1:10 2.53 3.11
(�1): lower level; (+1): higher level.
X1: extraction time in minutes, X2: solvent polarity, X3: mass of the sample in grams, X4: particle size, X5: mass of the sample/volume of solvent in
grams per milliliter.
Fig. 1. Comparison between the theoretical and experimental values obtained for mass yield using a fractional factorial drawing 25�1.
244 M.I. Soares Melecchi et al. / Ultrasonics Sonochemistry 13 (2006) 242–250
Solvent volumes employed were 50, 150 or 450 mL,
according to the sample amount and to the mass of
the sample/solvent volume ratio.
Mass yield (y %) and chromatographic profile (CG/
MS) were employed as parameters for extraction com-
parisons. Statistical evaluation of the results was per-formed using Statistics for Windows version 6.0
software. Once optimum experimental conditions were
established, duplicate experiments were performed
according to them (5 g of ground flowers and 150 mL
of methanol). Extraction time was further investigated
using 60–340 min, setting time intervals of 40 min, in or-
der to determine when solvent saturation occurs, and if
long extraction times can cause degradation of the ex-tract constituents.
2.5. Chromatographic fractionation of methanol extracts
Fractionation of methanol extracts obtained in
different extraction times were performed using a meth-
od developed by Wang et al. [19] modified by da Luz
[20]. In this methodology, silica gel was used as solid
phase and n-hexane, hexane/benzene (1:1), dichloro-
methane, ethyl acetate, and methanol as elution sol-vents. A glass column (40 cm · 11 mm), was packed
with 3.0 g of previously activated silica. A thin layer of
anhydrous sodium sulfate (approximately 1.0 g) was
added on the top of the column, and the column was
conditioned with 20 mL of hexane. The sample (approx-
imately 500 mg of extract) was firstly mixed with 1.0 g of
silica and 1.0 mL of dichloromethane, forming a fine
Table 2
The influence of the extraction time on the mass yield using methanol
as extractor solvent
Run Time (min) Mass yield (%)
1 60 9.82
2 100 10.25
3 140 12.82
4 180 12.84
5 220 12.96
6 260 15.57
7 300 17.10
8 340 14.60
M.I. Soares Melecchi et al. / Ultrasonics Sonochemistry 13 (2006) 242–250 245
slurry. After solvent evaporation, the dry mixture was
added on the top of the column. The elution was per-
formed using 20 mL of each one of the following sol-
vents: n-hexane, hexane/benzene (1:1),dichloromethane, ethyl acetate, and methanol. The five
fractions of each extract were evaporated under a gentle
flux of nitrogen. Fractions obtained with n-hexane, hex-
ane–benzene and dichloromethane were analyzed using
GC/MS without prior treatment. Those obtained with
ethyl acetate and methanol were derivatized using BF3
in methanol [21] before the chromatographic analysis.
3. Results and discussion
Investigation of sonication extraction parameters was
investigated using a fractional factorial drawing 25�1
Table 3
Compounds from fraction 1 of the PLC (eluted with n-hexane) of the metha
Compoundsa Extraction time in minutes
60 100 140 180
1. Pentadecane
2. Hexadecane · · ·3. Heptadecane · · ·4. Prysthane · · ·5. Octadecane · · · ·6. Phythane · · ·7. Nonadecane · · · ·8. Eicosane · · ·9. Uneicosane · · ·10. Docosane · · ·11. Tricosane · · · ·12. Tetracosane · · · ·13. Pentacosane · · · ·14. Hexacosane · · · ·15. Heptacosane · · · ·16. Octacosane · · ·17. Nonacosane · · · ·18. Triacontane · · · ·19. Heneitriacontane · · · ·20. Dotriacontane · · ·21. Tritriacontane · · ·22. Tetratriacontane · · ·a ‘‘·’’ means that the compound was detected.b tR = average value of duplicate retention times in minutes.
with two levels (+1 and �1) for each parameter. Data
treatment was performed with Statistics for Windows
version 6.0 software, having mass yield percent (y %)
as the dependent variable. The following equation was
obtained for mass yield:
yð%Þ ¼ 4.27þ 0.431X 1 þ 1.70X 2 þ 1.06X 5 þ 0.634X 1X 3
þ 0.734X 4X 5
Experimental values of mass yield and those obtained
with the above equation (theoretical value) are shown
in Table 1.
The analysis of the equation allowed to observe thatthe variable X1 (extraction time) showed a significant
positive effect (+0.431 X1), indicating a direct relation
between extraction time and mass yield. Such a relation
is also valid for other solid-liquid extraction techniques.
Variable X2 (solvent polarity) also showed a significant
positive effect (+1.70 X2), that is, higher polarity allows
higher mass yields. This behavior might be determined
by the nature of the secondary metabolites present inthe plant species under study. The parameter mass of
the sample/sample volume (X5) showed also a positive
effect (+1.060). The variables such as particle size (X4)
and amount of sample (X3) did not influence signifi-
cantly the extraction process. However, the interrelation
between these variables X1X3 (extraction time and
amount of sample) and X4X5 (particle size and ratio
mass/solvent) presented positive effects, indicating that
nol extract of H. tiliaceus L. flowers
tRb
220 260 300 340
· 30.63
· 32.02
34.49
34.60
· · · · 36.83
36.97
· · 39.02
· 40.77
· 42.97
· · 45.04
· · 46.72
· · · 48.48
· · · · 50.35
· · · · 52.02
· · · 53.52
· · · · 54.91
· · · · 56.89
· · · 58.53
· · · · 61.00
· 64.25
· · · 66.97
· · 71.45
Table 4
Compounds from fraction 2 of the PLC (eluted with hexane/benzene 1:1) of the methanol extract of H. tiliaceus L. flowers
Compoundsa Extraction time in minutes tRb
60 100 140 180 220 260 300 340
1. Tetradecanoic acid methyl ester · 33.65
2. Pentadecanoic acid methyl ester · 35.91
3. Neophytadiene · · · · · · · 37.47
4. Hexadecenoic acid methyl ester · 37.68
5. Hexadecanoic acid methyl ester · 38.14
6. Phytol · · · · · 38.15
7. Phytol isomer · · · · · 38.73
8. Heptadecanoic acid methyl ester · · · 39.89
9. Octadecadienoic acid methyl ester · 41.57
10. Octadecenoic acid methyl ester · 41.77
11. Octadecenoic acid · · 43.00
12. Octadecanoic acid methyl ester · · 42.77
13. Nonadecenoic acid methyl ester · 43.73
14. Eicosenoic acid methyl ester · 45.37
15. Eicosanoic acid methyl ester · 45.77
16. Tricosane · · · 47.27
17. Heneicosanoic acid methyl ester · · 47.29
18. Tetracosane · · · 48.63
19. Docosenoic acid methyl ester · 48.93
20. Pentacosane · · · · · · · 49.97
21. Docosanoic acid methyl ester · · 50.75
22. Hexacosane · · · · 51.85
23. Tetradecanal · · 52.22
24. Tetracosanoic acid methyl ester · · 52.83
25. Heptacosane · · · · · · · 53.16
26. Octacosane · · · · 54.24
27. Squalene · · · · · · 55.14
28. Docosanol · · · · · · 56.36
29. Nonacosane · · · · · · · 56.71
30. Triacontane · · · · · 58.91
31. Octacosanoic acid methyl ester · · · · · · 60.88
32. Heneitriacontane · · · · · 61.20
33. Nonacosanoic acid methyl ester · · 62.05
34. Tritriacontane · · 67.40
a ‘‘·’’ means that the compound was detected.b tR = average value of duplicate retention times in minutes.
Table 5
Compounds from fraction 3 of the PLC (eluted with dichloromethane) of the methanol extract of H. tiliaceus L. flowers
Compoundsa Extraction time in minutes tRb
60 100 140 180 220 260 300 340
1. Hexadecenoic acid methyl ester · · · · · 39.00
2. Hexadecanoic acid methyl ester · · · · · · · 39.48
3. Heptadecanoic acid methyl ester · · 41.49
4. Linoleic acid methyl ester · · · · · · · 42.90
5. Octadecenoic acid methyl ester · · · · · · · 42.99
6. Octadecatrienoic acid methyl ester · · · · · · 43.05
7. Nonadecanoic acid methyl ester · · · · · · 43.44
8. Octadecinoic acid methyl ester · · · 43.69
9. Octadecadienoic acid methyl ester · · · 44.34
10. Eicosanoic acid methyl ester · · · · · · 46.61
11. Tetracosanoic acid methyl ester · 55.79
12. Vitamin E · 63.08
13. Stigmastenone · · 72.78
14. Ergostenone · · 75.69
15. Pregnenedione · 77.36
a ‘‘·’’ means that the compound was detected.b tR = average value of duplicate retention times in minutes.
246 M.I. Soares Melecchi et al. / Ultrasonics Sonochemistry 13 (2006) 242–250
Table 6
Compounds from fraction 4 of the PLC (eluted with ethyl acetate) of the methanol extract of H. tiliaceus L. flowers
Compoundsa Extraction time in minutes tRb
60 100 140 180 220 260 300 340
1. Nonanoic acid · · · · · · · 23.05
2. Noninoic acid · 23.88
3. Tetradecene · · · · · · · 26.00
4. Hexadecene · · · · · · · 31.25
5. Benzophenone · · · · · · · 32.99
6. Tetradecanoic acid · · · · · 35.85
7. Methyl-benzophenone · · · · · · · · 35.69
8. Octadecene · · · · · · · · 35.98
9. Trimethyl pentadecenone · · · 37.70
10. Pentadecanoic acid · · · · · 38.07
11. Hexadecenoic acid · · · · · 39.68
12. Hexadecanoic acid · · · · · · · 40.81
13. Octadecenoic acid methyl ester · 42.97
14. Octadecadienoic acid · · · 43.87
15. Octadecadienoic acid methyl ester · · 44.34
16. Octadecenoic acid · · · · 44.54
17. Eicosene · · 56.85
18. Stigmastenol (isomer) · · 60.79
19. Vitamin E · · · · · · 63.04
20. Ergostenol · · · · 64.75
21. Ergostatrienol · 66.18
22. Fucosterol (isomer) · · · · 66.79
23. Stigmastadienol (isomer) · · · 68.07
24. Fucosterol (isomer) · · · · 68.38
25. Acetyloxy-androstanone · · · · · 68.74
26. Stigmastenol (isomer) · · · · · · · · 70.38
27. Fucosterol (isomer) · · · · · 70.91
28. Stigmastadienol (isomer) · · · · · · · 71.11
29. Fucostenone (isomer) · · · · · 72.03
30. Stigmastenone (isomer) · · · · 72.42
31. Fucostenone (isomer) · · 73.09
32. Stigmastadienol-acetate · 73.36
33. Stigmastadienone · · · · · · · 73.62
34. Hydroxy ergostenone · · · · · 74.80
35. Dimethyl androstenol-acetate · 75.12
36. Stigmastenone (isomer) · · · · · · · 76.76
37. Ergostadienone · · · · · · · 77.40
38. Stigmastadienenol (isomer) · · · · 77.97
39. Methyl, ethyl-colestanone · · · 85.85
a ‘‘·’’ means that the compound was detected.b tR = average value of duplicate retention times in minutes.
M.I. Soares Melecchi et al. / Ultrasonics Sonochemistry 13 (2006) 242–250 247
a large amount of sample results in longer extraction
times and a large particle size demands higher volumes
of solvent.
Based on the results obtained with this theoretical
model, longer extraction times and higher solvent polar-
ity might result in enhanced extraction yields.
Fig. 1 shows the correlation of the experimental data
with those obtained using the theoretical model. Exper-iments 2, 6, 10, 11, 14 show an appropriate agreement
between experimental and the theoretical data. The best
extraction yields were achieved under the experimental
conditions of trials 3 and 9.
In order to further understand the influence of extrac-
tion time in the extraction yield, different times were
tested from 60 to 340 min. The other parameters were
kept constant: a sample amount of 5 g (X3), methanol
as solvent (X2), 1:30 as mass of sample/solvent volume
ratio (X5), and the whole plant of H. tiliaceus L. (X4).
The results are shown in Table 2.
These results show that the longer the extraction time
the higher the mass yield obtained, when methanol is
used as solvent. At extraction times longer than
300 min, a decrease in the mass yield was observed,which may be explained considering the possibility of
organic compounds decomposition by the effect of the
sound waves. This is one of the limitations of this
technique.
The tentative identification of the chromato-
graphic peaks for each PLC fraction is shown in Tables
3–8.
Table 7
Compounds from fraction 4 of the PLC (eluted with ethyl acetate) of the methanol extract of H. tiliaceus L. flowers after the derivatization with BF3
in methanol
Compoundsa Extraction time in minutes tRb
60 100 140 180 220 260 300 340
1. Nonanoic acid · · · · · · 21.52
2. Noninoic acid (isomer) · · · · · 22.20
3. Noninoic acid (isomer) · · · · · 25.20
4. Undecanoic acid · 28.63
5. Dodecanoic acid · · · · · 30.03
6. Nonanodioic acid · · · · · 30.65
7. Tetradecanoic acid · · · · · · · · 34.44
8. Pentadecanoic acid · · · · · · · 37.38
9. Hexadecenoic acid · · · · · · · 38.71
10. Hexadecanoic acid · · · · · · · 39.46
11. Heptadecenoic acid · 39.81
12. Octadecinoic acid · · 40.51
13. Heptadecanoic acid · · · 41.47
14. Hexadecadienoic acid · · · 41.85
15. Octadecinoic acid · 42.24
16. Octadecadienoic acid · · · · · · 42.90
17. Octadecenoic acid · · · · · 43.03
18. Octadecatrienoic acid · · 43.08
19. Octadecanoic acid · · · · · · 43.43
20. Octadecinoic acid (isomer) · · · · · · · 43.71
21. Nonadecanoic acid · · 45.47
22. Nonadecenoic acid · · · 46.72
23. Eicosanoic acid · · · · · 47.14
24. Docosanoic acid · · · · · · · 49.94
25. Tricosanoic acid · · 52.09
26. Tetracosanoic acid · · · · · 53.27
27. Pentacosanoic acid · · 55.09
28. Hexacosanoic acid · · · 56.94
29. Stigmastenol (isomer) · 59.68
30. Heptacosanoic acid · 58.91
31. Stigmastadienol · 61.19
32. Stigmastenol (isomer) · · 61.35
33. Octacosanoic acid · · · 62.17
34. Stigmastenol (isomer) · · 62.77
35. Nonacosanoic acid · 65.14
36. Triacontanoic acid · 68.91
37. Fucostenona (isomer) · 71.91
38. Sigmastenone · 74.64
39. Stigmastenol (isomer) · 76.33
40. Fucostenone (isomer) · · 77.15
41. Stigmastadienone · 77.91
a ‘‘·’’ means that the compound was detected. Fatty acids were identified as methyl esters.b tR = average value of duplicate retention times in minutes.
248 M.I. Soares Melecchi et al. / Ultrasonics Sonochemistry 13 (2006) 242–250
Table 3 shows the identified saturated linear hydro-
carbons ranging from 15 to 34 carbon atoms found in
the hexanic fraction of the H. tiliaceus L. methanolic ex-
tract. Extracts resulting from 60 to 140 min of extractionshowed the same composition, except for the intensity of
the chromatographic peaks and mass yields. Saturated
linear hydrocarbons in Hibiscus flowers have not yet
been reported in the literature.
The second fractions (Table 4) show the presence of
some hydrocarbons, some fatty acid methyl esters
(FAME), and some phytosterols. It was also observed
that starting from 180 min some components were not
detected and others (that were not detected in shorter
elution times) showed up. A different behavior was no-
ticed when extraction was extended to 340 min, as sev-
eral esters of fatty acids were also detected. Thesecompounds were absent when extraction times were
shorter.
The chromatographic fractions obtained with dichlo-
romethane (Table 5) show some fatty acid methyl esters
(FAME) and sterols. Saturated and unsaturated esters
were found, being the saturated more abundant than
the other ones. The presence of FAME and steroids in
the flowers and stem of other species of the Hibiscus
Table 8
Compounds from fraction 1 of the PLC (eluted with methanol) of the methanol extract of H. tiliaceus L. flowers after the derivatization with BF3 in
methanol
Compoundsa Extraction time in minutes tRb
60 100 140 180 220 260 300 340
1. Octanoic acid · · · · 17.14
2. Nonanoic acid · · · · 20.22
3. Dodecanoic acid · · · 28.72
4. Nonanodioic acid · · · 29.34
5. Hexadecene · · · 30.47
6. Tetradecanoic acid · · · · · · 33.84
7. Pentadecanoic acid · · · · 36.23
8. Hexadecenoic acid (isomer) · · · · · · · · 37.77
9. Hexadecanoic acid · · · · · · · 38.21
10. Hexadecenoic acid (isomer) · · · · · 39.81
11. Heptadecanoic acid · · · · 40.30
12. Octadecinoic acid · · · 40.44
13. Octadecadienoic acid (isomer) · · · · · · · · 41.65
14. Octadecenoic acid · · · · · · · 41.78
15. Octadecatrienoic acid · · · · 41.72
16. Octadecenoic acid (isomer) · · · · · · · 42.06
17. Octadecanoic acid · · · · 42.49
18. Octadecinoic acid (isomer) · · · 42.43
19. Nonadecanoic acid · · · 43.78
20. Eicosanoic acid · · 45.75
21. Docosanoic acid · · 49.20
22. Tricosanoic acid · · · · 50.64
23. Androstanol methyl acetate · 51.19
24. Tetracosanoic acid · · · 52.82
25. Pentacosanoic acid · · · 54.50
26. Hexacosanoic acid · · · 56.35
27. Heptacosanoic acid · · · 58.36
28. Octacosanoic acid · · · 60.71
29. Nonacosanoic acid · · · 63.45
30. Fucosterol · · 64.58
31. Ergostenol · · 64.83
32. Stigmastadienol · · 65.76
33. Stigmastenol · · · · 64.31
34. Fucosterol · 68.40
35. Fucostenone · · 69.14
36. Fucostenone · 70.54
37. Stigmastenone · · 73.18
38. Stigmastadienone · · 73.83
a ‘‘·’’ means that the compound was detected. Fatty acids were identified as methyl esters.b tR = average value of duplicate retention times in minutes.
M.I. Soares Melecchi et al. / Ultrasonics Sonochemistry 13 (2006) 242–250 249
was already reported in the literature [14,15], although
there is no report of these compounds for the H. tiliac-
eus species.
The presence of FAME in the previous fraction of the
340 min extract (Table 4) is probably due to premature
elution of these compounds resulting in their absence
in fraction 3 (Table 5).
The chromatographic fractions obtained with ethylacetate, were analyzed without derivatization (Table 6)
and after derivatization (Table 7). This allowed identifi-
cation of some free fatty acids, while methylation facili-
tated the chromatographic separation and analysis.
Vitamin E (a-tocopherol) and also some phytosterols
were found in the ethyl acetate fraction. These com-
pounds were already reported in other Hibiscus species
[14,15]. Extracts obtained after 140 min of extraction
contained a total of 31 compounds that were absent
when shorter extraction times were employed: free fatty
acids, FAME, unsaturated hydrocarbons, ketones, phy-
tosterols and a-tocopherol. The last PLC fractions were
analyzed after derivatization and the peak identificationis showed in Table 8. As it can be seen, the chromato-
graphic profile of these fractions is very similar to those
obtained in the previous fractions (Table 7). This results
can be explained, as both solvents employed are polar
(ethyl acetate and methanol).
250 M.I. Soares Melecchi et al. / Ultrasonics Sonochemistry 13 (2006) 242–250
4. Conclusions
Optimization of the sonication extraction parameters
of H. tiliaceus L. flowers, using a fractional factorial
drawing 25�1 indicated that the most influential param-
eters are solvent polarity and extraction time. Extractiontime of 140 min resulted in better mass yields having
methanol as solvent, while methanol provided higher
yields than hexane. Even though theoretical data pre-
dicted by the fractional factorial drawing 25�1 showed
that longer extraction times would result in higher
yields, experimental data have shown that longer extrac-
tion times allow artifact formation.
Compounds identified in the H. tiliaceus L. flowersextracts were: saturated hydrocarbons (from 15 to 34
carbon atoms), methyl ester of fatty acids, a-tocopherol,and phytosterols. No one of these compounds was for-
merly reported in the literature for H. tiliaceus L. flow-
ers. Qualitative composition of ultrasonic extracts was
the same found in the extracts obtained using conven-
tional extraction techniques, such as Soxhlet extraction,
among others [22].The presence of bioactive compounds in the H. tiliac-
eus L. flowers extracts, such as phytosterols may be
linked to the phytotherapic properties of this plant.
Some phytosterols have shown to exhibit cancer preven-
tive, anti-neoplastic, anti-pyretic, and immuno-modulat-
ing activity [23].
Acknowledgment
The authors thank FAPERGS, CNPq and FINEP
for their financial support.
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