Test the predicted values from the model
To test the optimal values obtained from the
predicted models, the study performed according to the best parameters found: extraction at
85oC for 32 min; then filtered and retrieved the
extract and conduct analyzed to determine the
content of bioactive compounds and dissolved
solids. The content of anthocyanin, tannin and
dissolved solids were lower than predictive values by 3.80%; 3.19% and 2.74%. Meanwhile, the
levels of flavonoid and polyphenol were higher
than predictive values by 4.14% and 1.52% respectively (Table 3). The difference was within
the allowable limit (< 5%). The result of this difference was that the optimum extraction conditions of the compounds found in the model were
between 83.7÷88.1oC and 30.3÷34.3 minutes.
4. Conclusions
Response Surface Methodology (RSM) is a
highly reliable method in predicting optimizing
models. Using RSM to find the most suitable
temperature and time to extract bioactive compounds and soluble solids at the same time could
minimize the degradation of these bioactive substances. Therefore it could improve the quality of
compounds after the extraction. The extraction
temperature and time were 85oC and 32 min.
At this condition, the content of anthocyanin,
flavonoid, polyphenol, tannin and soluble solids
were 37.19 mgCE/100 g; 3.14 mgQE/g; 5.25 mgGAE/g; 3.94 mgTAE/g fresh weight, 0.71%, respectively. This method could become an alternative technique to apply in solid-liquid extraction
the bioactive compounds in Pouzolzia zeylanica
at the industrial scale.
10 trang |
Chia sẻ: hachi492 | Lượt xem: 5 | Lượt tải: 0
Bạn đang xem nội dung tài liệu Optimization of aqueous extraction conditions for bioactive compounds from fresh Pouzolzia zeylanica plant using response surface methodology, để tải tài liệu về máy bạn click vào nút DOWNLOAD ở trên
Nong Lam University, Ho Chi Minh City 65
Optimization of aqueous extraction conditions for bioactive compounds from fresh
Pouzolzia zeylanica plant using response surface methodology
Tan D. Nguyen1,2
1Faculty of Agriculture and Natural Resources, An Giang University, An Giang, Vietnam
2Vietnam National University, Ho Chi Minh City, Vietnam
ARTICLE INFO
Research Paper
Received: March 02, 2020
Revised: May 20, 2020
Accepted: June 22, 2020
Keywords
Bioactive compounds
Extraction temperature
Extraction time
Pouzolzia zeylanica plant
Response surface methodology
Corresponding author
Nguyen Duy Tan
Email: ndtan@agu.edu.vn
ABSTRACT
Response surface methodology was applied to optimize the extraction
of phenolic compounds from fresh Pouzolzia zeylanica plant using hot
water as a solvent. A central composite design (CCD) in form (23+star)
was used to investigate the effects of two independent variables, namely,
extraction temperature (70 to 90oC) and extraction time (20 to 40 min).
The dependent variables were the content of anthocyanin, flavonoid,
polyphenol, tannin and total soluble solids of extracted solution. A
second-order polynomial model was used for predicting the response.
The results showed that the optimal extraction process was obtained
at 84.4oC for 31.7 min. The experimental values agreed with predicted
within a 95% confidence interval. Consequently, the contents of antho-
cyanin, flavonoid, polyphenol and tannin were 38.66 mgCE/100 g, 3.01
mgQE/g, 5.17 mgGAE/g, 4.07 mgTAE/g fresh weight, and total soluble
solids content was 0.73%, respectively.
Cited as: Nguyen, T. D. (2020). Optimization of aqueous extraction conditions for bioactive com-
pounds from fresh Pouzolzia zeylanica plant using response surface methodology. The Journal of
Agriculture and Development 19(3), 65-74.
1. Introduction
Pouzolzia zeylanica is a medicinal source that
people of Asia countries have used to treat var-
ious kinds of diseases by traditional methods.
In Vietnam, this plant was popularly cultivated
in the Mekong Delta region, it can be used as
fresh or dried plant, decoction drunk to treat
cough, pulmonary tuberculosis, sore throat, en-
teritis and dysentery (Vo, 2012). Several in vitro
researches have indicated ethanolic extracts of
Pouzolzia zeylanica possessed antibacterial, anti-
fungal and cytotoxic activities (Saha et al., 2012;
Sara & Paul, 2012); it had no oral acute toxic-
ity at the oral dose of 10 g material powder/kg
(Tran et al., 2010). Traditionally, this plant was
prepared as an infusion with water, to make tea.
Extraction is the separation of medicinally ac-
tive portions of plant using selective solvents
through standard procedures (Handa et al.,
2008). The purpose of all extraction is to sep-
arate the soluble plant metabolites, leaving be-
hind the insoluble cellular. The obtained crude
extracts contain a complex mixture of many plant
metabolites, such as alkaloids, glycosides, pheno-
lics, terpenoids and flavonoids. Some of the ini-
tially obtained extracts may be ready for use as
medicinal agents or beverages but some need fur-
www.jad.hcmuaf.edu.vn The Journal of Agriculture and Development 19(3)
66 Nong Lam University, Ho Chi Minh City
ther processing.
In addition, we have known since decades that
chemical constituents as an extractable matter
which obtained from the extraction process were
influenced by extraction parameters, also influ-
enced by the quality of the medicinal plant (Vyas
et al., 2013). So, if the extraction process can be
optimized in terms of bioactive compounds con-
tent such as anthocyanin, flavonoid, polyphenol
and tannin. They could have had potential as
beverages or concentrated products with medic-
inal properties. The presence of phenolic com-
pounds in the extracted solution had effect on
biological value of the final product . Therefore, it
is necessary to determine the effects of extraction
time and temperature on the content of phenolic
compounds.
2. Materials and Methods
2.1. Chemicals and reagents
Folin-Ciocalteu, Folin-Denis reagents and
quercetin, gallic acid, tannic acid were obtained
from Sigma Chemical Co. (USA) and Merck
Chemical Supplies (Germany). All the chemicals,
including the solvents, were of analytical grade.
2.2. Sample preparation and extraction
Pouzolzia zeylanica plants were collected in
April 2017 from a household in Hoa Binh vil-
lage, Cho Moi district, An Giang province with
20-30 cm height. It was cleaned with tap-water,
cut into small pieces about 2-3 cm long. After
that, the samples of Pouzolzia zeylanica were
extracted with water using an airtight extrac-
tor (model GPA CC1-181907, DidatecTechnolo-
gie France, 2007). Stirring rate was maintained
at 90 (rpm). The extract samples were fixed a
volume of 5 liters and solution to the material
ratio of 15:1, v/w. The samples were extracted
at temperature of (63, 70, 80, 90 and 97oC), in
the duration of (13, 20, 30, 40 and 47 min). The
extracts were filtered by cotton cloth and deter-
mined their volumes. Subsequently, the extracts
were filtered using Buchner funnel with What-
man’s No 1 filter paper. The crude extract was
diluted at an appropriate ratio using for analysis.
2.3. Experimental design and statistical anal-
ysis
In this study, response surface methodology
(RSM) with central composite design (CCD) in
form (23+star) was used to investigate the ef-
fects of two independent variables: X (extrac-
tion temperature) and Y (extraction time) on the
extraction of anthocyanin, flavonoid, polyphenol
and tannin contents. The independent variables
were coded at five levels (-α, -1, 0, +1, +α)
and the complete design consisted of 13 experi-
mental points, including five replications of the
center points (Table 1). The experimental de-
sign and statistical analysis were performed using
Statgraphics plus 16.0 for Windows. A quadratic
equation (second-order polynomial equation) was
used to fit the results:
Z = b0 + b1X + b2Y + b1.2XY + b1.1X2 + b2.2Y2
Where Z is the predicted response parameter,
bo is a constant, b1, b2, b1.1, b2.2 and b1.2
are the regression coefficients; X and Y are the
levels of the independent variables (extraction
temperature and time). Experimental data were
then fitted to the selected regression model to
achieve a proper understanding of the correla-
tion between each factor and different responses.
This correlation was obtained by estimating the
numerical values of the model terms (regression
coefficients), whose significance was statistically
judged in accordance with t-statistic at a confi-
dence interval of 95%. Non-significant (P > 0.05)
terms were deleted from the initial equation and
data were refitted to the selected model. This
work helped that the models will have a higher
correlation coefficient R. The compatibility of the
mathematical models was fitted by RSM and
evaluated by ANOVA, based on the F-test, the
probability value (P) of lack-of-fit and on the per-
centage of total explained variance (R2), and also
on the adjusted determination coefficient (R2adj).
These variances provide a measurement of the
variability in the observed response values that
could be explained by the experimental factors
and their linear and quadratic interactions. Si-
multaneous optimization of the desirability func-
tion was performed in order to maximize the con-
tent of anthocyanin, flavonoid, polyphenol, tan-
nin and soluble solids.
The Journal of Agriculture and Development 19(3) www.jad.hcmuaf.edu.vn
Nong Lam University, Ho Chi Minh City 67
T
ab
le
1.
C
od
ed
an
d
un
co
de
d
ex
pe
rim
en
ta
lv
al
ue
s
of
ex
tr
ac
tio
n
te
m
pe
ra
tu
re
an
d
tim
e
of
fr
es
h
Po
uz
ol
zi
a
ze
yl
an
ic
a
an
d
re
su
lts
fr
om
th
e
ex
tr
ac
t
so
lu
tio
n
as
sa
ys
N
um
be
r
Ru
n
In
de
pe
nd
en
t
va
ria
bl
es
R
es
po
ns
es
Te
m
pe
ra
tu
re
(o
C
)
T
im
e
(m
in
)
A
nt
ho
cy
an
in
(m
gC
E/
10
0
g)
Fl
av
on
oi
d
(m
gQ
E/
g)
Po
ly
ph
en
ol
(m
gG
A
E/
g)
Ta
nn
in
(m
gT
A
E/
g)
So
lu
bl
e
so
lid
s
(%
)
1
66
(-
α
)
30
(0
)
30
.1
5
±
0.
95
2.
25
±
0.
17
3.
98
±
0.
25
3.
06
±
0.
19
0.
54
±
0.
07
2
70
(-
1)
20
(-
1)
31
.4
2
±
0.
86
2.
19
±
0.
09
4.
08
±
0.
16
3,
09
±
0.
12
0.
53
±
0.
04
3
70
(-
1)
40
(+
1)
35
.6
1
±
0.
92
2.
56
±
0.
12
4.
66
±
0.
15
3.
51
±
0.
22
0.
58
±
0.
05
4
80
(0
)
16
(-
α
)
33
.9
1
±
0.
88
2.
44
±
0.
15
4.
71
±
0.
18
3.
45
±
0.
11
0.
57
±
0.
01
5
80
(0
)
30
(0
)
38
.2
6
±
0.
65
2.
97
±
0.
19
5.
11
±
0.
21
3.
98
±
0.
15
0.
69
±
0.
06
6
80
(0
)
30
(0
)
37
.8
5
±
0.
33
2.
91
±
0.
11
4.
98
±
0.
09
4.
01
±
0.
07
0.
72
±
0.
09
7
80
(0
)
30
(0
)
37
.8
2
±
0.
11
3.
01
±
0.
21
5.
04
±
0.
22
3.
86
±
0.
13
0.
68
±
0.
02
8
80
(0
)
30
(0
)
38
.8
9
±
0.
83
2.
89
±
0.
18
5.
07
±
0.
17
3.
95
±
0.
25
0.
73
±
0.
01
9
80
(0
)
30
(0
)
39
.0
6
±
0.
76
2.
95
±
0.
14
5.
18
±
0.
19
3.
88
±
0.
16
0.
71
±
0.
08
10
80
(0
)
44
(+
α
)
37
.0
8
±
0.
57
2.
86
±
0.
22
4.
96
±
0.
08
4.
01
±
0.
14
0.
66
±
0.
06
11
90
(+
1)
20
(-
1)
38
.0
2
±
0.
89
2.
78
±
0.
05
5.
08
±
0.
11
3.
98
±
0.
08
0.
65
±
0.
04
12
90
(+
1)
40
(+
1)
35
.1
1
±
0.
94
2.
85
±
0.
25
4.
99
±
0.
13
4.
02
±
0.
17
0.
71
±
0.
03
13
94
(+
α
)
30
(0
)
36
.2
2
±
0.
81
2.
81
±
0.
08
4.
95
±
0.
14
4.
01
±
0.
15
0.
72
±
0.
08
D
at
a
pr
es
en
te
d
as
m
ea
n
(n
=
3)
±
SD
(S
ta
nd
ar
d
D
ev
ia
ti
on
).
2.4. Determination of chemical composition of
Pouzolzia zeylanica L. Benn
2.4.1. Total anthocyanin content (mgCE/100
g FW)
The determination of monomeric antho-
cyanin was conducted by pH-differential method
(Ahmed et al., 2013). The samples perform dilu-
tions in 50 mL volumetric flasks. The volumetric
pipets are used for addition of the test portion.
The maximum test portion added should be ≤
10 mL (the ratio of test/buffer is 1/4, v/v) and
not to exceed the buffer capacity of the reagents.
The absorbance of test portion diluted with pH
1.0 buffer and pH 4.5 buffer is determined at both
520 nm and 700 nm. Total monomeric antho-
cyanins were expressed as cyanidin-3-glucoside.
Sample absorbance was read against a blank cell
containing distilled water. The absorbance (A) of
the sample was then calculated according to the
following formula:
A = (A520 – A700)pH 1.0 – (A520 – A700)pH 4.5
Total anthocyanin content (TAC) in the sam-
ple was calculated according to the following for-
mula:
TAC (mgCE/100 g) = (A x MW x DF x V x
1000)/( x 1 x W)
Where DF is dillution factor, MW is cyanidin-
3-glucoside molecular weight (449,2), is molar
absorptivity (26,900), V is volume of the obtained
extracts, in litre, 103 is factor for conversion from
g to mg, W is the weight of material sample, in
gram.
2.4.2. Total flavonoid content (mg QE/g FW)
Aluminum chloride colorimetric method was
used for flavonoids determination (Eswari et
al., 2013). About 1 mL of the crude ex-
tracts/standard of different concentrations was
mixed with 3 mL ethanol, 0.2 mL of 10% alu-
minum chloride, 0.2 mL of 1 M sodium acetate
and 5.8 mL of distilled water. It remained at room
temperature for 30 min. The absorbance of the
reaction mixture was measured at 415 nm with
spectrophotometer against blank. The calibra-
tion curve was prepared by diluting quercetin in
ethanol (y = 0.0054x + 0.0026 and r2 = 0.9995).
The total flavonoid content (TFC), milligrams of
quercetin equivalents (QE) per gram fresh weight
(FW), was calculated by the following formula:
TFC (mgQE/g) = [(A – 0.0026) x DF x V]/
www.jad.hcmuaf.edu.vn The Journal of Agriculture and Development 19(3)
68 Nong Lam University, Ho Chi Minh City
(0.0054 x W)
Where A is the absorbance of the test sam-
ples; DF is the dilution factor; V is volume of
the obtained extracts, in litre; W is the weight of
material sample, in gram.
2.4.3. Total polyphenol content (mg GAE/g
FW)
Total polyphenol content was determined by
Folin-Ciocalteu reagent method (Hossain et al.,
2013). Each crude extract (0.2 mL) was taken in a
test tube and added 10% Folin-Ciocalteu reagent
(1.5 mL). Then all test tubes were kept in a dark
place for 5 min. Finally, 5% Na2CO3 (1.5 mL)
was added to solution and mixed well in a vor-
tex. Again, all the test tubes were kept in the
dark for 2 h. The absorbance was measured for
all solutions by using UV-spectrophotometer at
constant wavelength 750 nm. Total polyphenol
concentrations were quantified by a calibration
curve obtained from measuring the absorbance of
a known concentration of gallic acid standard in
ethanol (y = 0.0082x + 0.0595 and R2 = 0.9996).
The total polyphenol content (TPC), milligrams
of gallic acid equivalents (GAE) per gram fresh
weight (FW), was calculated by the following for-
mula:
TPC (mgGAE/g) = [(A – 0.0595) x DF
xV]/(0.0082 x W)
Where A is the absorbance of the test samples;
DF is the dilution factor; V is the volume of the
obtained extracts, in litre; W is the weight of the
material sample, in gram.
2.4.4. Tannin content (mg TAE/g FW)
Tannin content was determined by Folin-Denis
method (Laitonjam et al., 2013). Each crude ex-
tract (0.5 mL) was taken in a test tube and added
distilled water (0.5 mL). Finally, the samples were
treated with 0.5 mL of freshly prepared Folin-
Denis reagent and 20% sodium carbonate (2 mL)
was added, shaken well, warmed on boiling water-
bath for 1 minute and cooled to room tempera-
ture. The absorbance of the coloured complex was
measured at 700 nm. Tannin concentration was
quantified based on the calibration curve of tan-
nic acid in ethanol (y = 0.0098x + 0.0478 and R2
= 0.9996). The tannin content (TC), milligrams
of tannic acid equivalents (TAE) per gram fresh
weight (FW), was calculated by the following for-
mula:
TC (mgTAE/g) = [(A – 0.0478) x DF x
V]/(0.0098 x W)
Where A is the absorbance of the test samples;
DF is the dilution factor; V is volume of the ob-
tained extracts, in litre; W is the weight of the
material sample, in gram.
2.5. Total soluble solids (%)
Determination total soluble dry matter con-
tent was conducted by following protocol of Gi-
ang et al. (2013). Take 30 mL extract solution to
a dried cup that determined weight. The heat-
ing in boiled water until the evaporation of water
was finished. Then, put it in oven at 100-105oC,
drying until the weight of cup was constant. The
content of total soluble solids (TSS) in extract so-
lution was determined by the following formula:
TSS (%) = [(G2 – G1) x 100]/G
Where G is the weight of test solution, G1 is
weight of cup, G2 is weight of cup and test solu-
tion.
3. Results and Discussion
The results from Table 1 showed that when
the extraction temperature and time changed,
the content of bioactive compounds and total
soluble solids in the extracts varied accordingly:
the anthocyanin content was in the range of
30.15÷39.06 mgCE/100 g; flavonoid 2.19÷3.01
mgQE/g; polyphenol 3.98÷5.18 mgGAE/g; tan-
nin 3.06÷4.01 mgTAE/g FW (fresh weight); and
total soluble solids was from 0.53÷0.73%.
Response surface and contour plots in Figure
1 showed the extraction temperature and time
had effect on the content of bioactive compounds
and soluble solids according to the second-order
model with significant levels (P < 0.05). When
extraction temperature and time increased, the
content of bioactive compounds in the extracted
solution had increasing trend, and achieved opti-
mal value, then had a decrease. Specifically, the
anthocyanin content increased and reached an op-
timal value of 38.72 mgCE/100 g at 83.7oC and
30.3 min (Figure 1a and 1a’); flavonoid achieved
an optimum value of 3.01 mgQE/g at 84.4oC and
33.3 min (Figure 1b and 1b’); polyphenol reached
an optimal value of 5.17 mgGAE/g at 85.6oC and
30.6 min (Figure 1c and 1c’); tannin reached an
optimum value of 4.10 mgTAE/g at 87.7oC and
34.3 minutes (Figure 1d and 1d’).
The Journal of Agriculture and Development 19(3) www.jad.hcmuaf.edu.vn
Nong Lam University, Ho Chi Minh City 69
Figure 1. Response surface and contour plots for the content of anthocyanin (a, a’); flavonoid (b, b’);
polyphenol (c, c’); tannin (d, d’) and total soluble solids (e, e’) in different temperature and time.
www.jad.hcmuaf.edu.vn The Journal of Agriculture and Development 19(3)
70 Nong Lam University, Ho Chi Minh City
Figure 2. Response surface and contour plots for the color parameters of extract such as L value (a) and a
value (b) in different temperature and time.
The results showed that the extraction of
bioactive compounds with water solvent was car-
ried out at high temperature (83÷87oC) and
short extraction time in the range of 30÷34
minutes. Since most bioactive compounds were
sensitive to high temperatures, long extraction
time could lead to the decomposition of bioac-
tive compounds (Vu & Ha, 2009). According to
Rajha et al. (2014) extraction of phenolic com-
pounds (polyphenols, flavonoids, tannins and an-
thocyanins) from grape skins found the optimum
extraction parameters of 81oC and 140 min for
non-grinding grape grains and 88oC for 5 min
grape skins were crushed. Sheng et al. (2013) ex-
plained that bioactive compounds were better re-
leased from plant cells by reducing the viscosity of
the solvent and increasing the molecular motion
with increased temperature during extraction.
The results of Vu & Ha (2009) showed that the
polyphenol content increased when the extraction
temperature was increased from 70÷90oC during
the polyphenol extraction process from green tea.
The increase of extraction temperature would in-
crease the phenolics extraction efficiency reported
by many authors (Spigno & Faveri, 2007; Spigno
et al., 2007; Rajha et al., 2012). Whenever tem-
perature was increased, it reduced surface ten-
sion and viscosity, improving the solubility of the
solute (Ramos et al., 2002). However, if higher
temperature could occur phenolic compounds de-
compose. The phenolic compounds could avoid
composition as the short duration of the extrac-
tion process, but high temperatures and long time
would have a negative effect on the polyphenol
content, oxidation or decomposition could occur
(Yilmaz & Toledo, 2006). Under the effect of
oxidation-reduction enzymes, plant tannin was
readily oxidized and condensed into colorful or
colorless products that directly affected the color
of the product (Le, 2003). The appropriate tem-
perature for extraction of tannin from bark is
between 90÷100oC (Connolly, 1993). Some au-
thors had shown that the effect of temperature
on flavonoid extraction, when the extraction tem-
perature was higher than the optimum tempera-
ture, reduced the flavonoid content (Sheng et al.,
2013).
Response surface and contour plots in Figures
1e and 1e’ showed that the extraction temper-
ature and time also influenced the second order
model to the soluble solids content of the extract.
Dissolved solids increase with increasing temper-
ature and extraction time and achieved high val-
ues in the range of 82÷90oC, dissolved solids
reached the optimum value of 0.74% at 88.1oC
and 33.4 min. The heat treatment increased the
solubility and diffusion of the compounds. The
heating decreased the viscosity of the extracting
solvent, but it increased the mass transfer and
helps the solvent penetrates easily into the cell
(Al-Farsi & Lee, 2008). On the other hand, ac-
cording to Mohammad et al. (2011), high tem-
peratures could reduce cellular barriers by weak-
ening the walls and cell membranes, making the
solvent more easily exposed to the compounds,
increasing the ability to extract solutes into the
extract solution.
The results in Figure 2a showed that the light-
dark (L) value tended to decrease as the temper-
ature and the extraction time was increased. The
samples with the darkest color (L = 23.35) at the
extraction temperature and time were 94oC and
30 min, respectively. The sample had the lightest
color (L = 29.24) at 66oC and 33 min. Meanwhile,
the results in Figure 2b showed that the green-
red value (a) trended to increase when the ex-
traction time was extended at low temperatures
from 66÷80oC but when raised to 90÷94oC and
extending the extraction time, a value trended to
decrease. The highest red color (a = 1.97) was
The Journal of Agriculture and Development 19(3) www.jad.hcmuaf.edu.vn
Nong Lam University, Ho Chi Minh City 71
extracted at 80oC for 44 min and the lowest red
color (a = 0.89) at the temperature and extrac-
tion time of 66oC and 33 min. This could be ex-
plained by increased temperature or prolonged
extraction time, which increased the ability to
extract color compounds (phenolics compounds)
in medicinal plants so that the L value would
decrease (darker color) because L had value of
100÷0, the value of a would increase (the color
would be redder) because a value had green value
(-) and (+) is red. However, when the optimum
condition was obtained, the phenolics would de-
compose (especially anthocyanin), reducing the
red color of the extract.
In addition, the results of ANOVA statistical
analysis of the data in Table 2 showed that the
correlation model constructed with linear, inter-
active and quadratic coefficients of the temper-
ature and time had effect on the anthocyanin,
flavonoid, polyphenol, tannin and soluble solids
content of the obtained extract with confident
level of 95%. In which, the linearity coefficient
of the temperature factor had significant effect
on the anthocyanin compounds, flavonoid (P <
0.001), the time factor had a significant effect (P
< 0.01); the coefficient of squared and interac-
tion of temperature and time factors had effect in
confident level (P < 0.05); except for the inter-
action coefficient of extraction temperature and
time, there was no effect on soluble solids content
(P > 0.05).
The good correlation model required a match
between the actual and theoretical data, so the
constructed model with Lack of fit test was not
statistically significant (Zabeti et al, 2009). In ad-
dition, the correlation model should have a cor-
relation coefficient of R2 greater than 0.8 (Guan
& Yao, 2008). The results in Table 2 showed that
the correlation coefficient of the predicted mod-
els was R2 > 0.951 and the P for lack of fit was
0.1379 > 0.05. The model’s suitability was very
high and there was good compatibility between
experimental and predictive data (Figure 3).
3.1. Multiple response optimization
Extraction was widely known as an extraction
process of bioactive substances from plant materi-
als. Several factors could contribute to the effects
of bioactive compounds extracted, including the
method of extraction, temperature and extrac-
tion time, rate of materials and solvent (Pinelo
et al., 2005a & 2005b; Chew et al., 2011). Ta
bl
e
2.
M
at
he
m
at
ic
al
eq
ua
tio
ns
th
at
de
sc
rib
e
th
e
re
sp
on
se
s
(a
nt
ho
cy
an
in
,fl
av
on
oi
d,
po
ly
ph
en
ol
,t
an
ni
n,
so
lu
bl
e
so
lid
s)
in
re
sp
on
se
to
te
m
pe
ra
tu
re
an
d
tim
e
R
es
po
ns
e
va
ria
bl
es
R
eg
re
ss
io
n
Eq
ua
tio
ns
R
2
R
2
(a
dj
us
te
d
fo
r
d.
f.)
P-
va
lu
e
(la
ck
-o
f-fi
t)
A
nt
ho
cy
an
in
(m
gC
E/
10
0
g)
Z
=
-1
89
.0
75
+
4.
63
01
X
+
2.
25
3Y
–
0.
02
45
X
2
–
0.
01
8X
Y
–
0.
01
3Y
2
0.
95
1
0.
91
6
0.
13
79
Fl
av
on
oi
d
(m
gQ
E/
g)
Z
=
-1
5.
63
5
+
0.
37
8X
+
0.
16
2Y
–
0.
00
2X
2
–
0.
00
1X
Y
–
0.
00
2Y
2
0.
98
5
0.
97
5
0.
63
71
Po
ly
ph
en
ol
(m
gG
A
E/
g)
Z
=
-2
1.
87
8
+
0.
55
8X
+
0.
20
9Y
–
0.
00
3X
2
–
0.
00
2X
Y
–
0.
00
1Y
2
0.
98
1
0.
96
8
0.
65
53
Ta
nn
in
(m
gT
A
E/
g)
Z
=
-1
5.
16
5
+
0.
38
1X
+
0.
15
1Y
–
0.
00
2X
2
–
0.
00
1X
Y
–
0.
00
1Y
2
0.
97
8
0.
96
3
0.
39
97
So
lu
bl
e
so
lid
ss
(%
)
Z
=
-2
.7
92
+
0.
06
9X
+
0.
02
9Y
–
0.
00
04
X
2
+
0.
00
00
3X
Y
–
0.
00
05
Y
2
0.
97
1
0.
95
1
0.
98
10
X
=
E
xt
ra
ct
io
n
te
m
pe
ra
tu
re
(o
C
);
Y
=
E
xt
ra
ct
io
n
ti
m
e
(m
in
).
www.jad.hcmuaf.edu.vn The Journal of Agriculture and Development 19(3)
72 Nong Lam University, Ho Chi Minh City
Figure 3. Correlation between the experimentally and the estimated values for anthocyanin (a), flavonoid
(b), a polyphenol (c), tannin (d) and total soluble solids (e) using the models described in equation 1, 2, 3,
4, 5; respectively (as shown in Table 2).
The responses (anthocyanin, flavonoid,
polyphenol, tannin and soluble solids content)
were optimized separately, therefore allowing the
targeting of a certain class of compounds only
by varying the extraction parameters. Yet, the
desirability function in the RSM was utilized to
reveal the combination of the parameters (tem-
perature and time) capable of simultaneously
maximizing all the responses. The overplay plot
(Figure 4) showed the outlines superposition of
all the studied responses and the simultaneous
optimum for all responses was showed by the
black spot.
The optimum extraction parameters were ob-
tained from the model with a temperature of
84.4oC and a time of 31.7 min. At this opti-
mal extraction parameter, the content of the
anthocyanin, flavonoid, polyphenol, tannin and
dissolved solids was 38,66 mgCE/100 g; 3.01
mgQE/g; 5.17 mgGAE/g; 4.07 mgTAE/g fresh
weight and 0.73%, respectively.
3.2. Test the predicted values from the model
To test the optimal values obtained from the
predicted models, the study performed accord-
ing to the best parameters found: extraction at
85oC for 32 min; then filtered and retrieved the
extract and conduct analyzed to determine the
The Journal of Agriculture and Development 19(3) www.jad.hcmuaf.edu.vn
Nong Lam University, Ho Chi Minh City 73
Figure 4. Superposition contour plots, showing the best experimental parameters that maximize bioactive
compounds content and total dry matter of extract solution (the black spot shows the optimum for all the
responses).
Table 3. Comparison of test values with calculated values of optimal models
No. Analytical targets Test value* Calculated value Differentialpercentage (%)
1 Anthocyanin (mgCE/100 g FW) 37.19 ± 0,97 38.66 3.80
2 Flavonoid (mgQE/g FW) 3.14 ± 0,07 3.01 4.14
3 Polyphenol (mgGAE/g FW) 5.25 ± 0,19 5.17 1.52
4 Tannin (mgTAE/g FW) 3.94 ± 0,15 4.07 3.19
5 Soluble solids (%) 0.71 ± 0,01 0.73 2.74
(*) Mean value (n=3) and ± SD (Standard Deviation).
content of bioactive compounds and dissolved
solids. The content of anthocyanin, tannin and
dissolved solids were lower than predictive val-
ues by 3.80%; 3.19% and 2.74%. Meanwhile, the
levels of flavonoid and polyphenol were higher
than predictive values by 4.14% and 1.52% re-
spectively (Table 3). The difference was within
the allowable limit (< 5%). The result of this dif-
ference was that the optimum extraction condi-
tions of the compounds found in the model were
between 83.7÷88.1oC and 30.3÷34.3 minutes.
4. Conclusions
Response Surface Methodology (RSM) is a
highly reliable method in predicting optimizing
models. Using RSM to find the most suitable
temperature and time to extract bioactive com-
pounds and soluble solids at the same time could
minimize the degradation of these bioactive sub-
stances. Therefore it could improve the quality of
compounds after the extraction. The extraction
temperature and time were 85oC and 32 min.
At this condition, the content of anthocyanin,
flavonoid, polyphenol, tannin and soluble solids
were 37.19 mgCE/100 g; 3.14 mgQE/g; 5.25 mg-
GAE/g; 3.94 mgTAE/g fresh weight, 0.71%, re-
spectively. This method could become an alterna-
tive technique to apply in solid-liquid extraction
the bioactive compounds in Pouzolzia zeylanica
at the industrial scale.
References
Ahmed, J. K., Salih, H. A. M., & Hadi, A. G. (2013). An-
thocyanin in red beet juice act as scavenger for heavy
metals ions such as lead and cadmium. International
Journal of Science and Technology 2(3), 269-273.
Al-Farsi, M. A., & Lee, C. Y. (2008). Optimization of
phenolics and dietary fibre extraction from date seeds.
Food Chemistry 108, 977-985.
Chew, K. K., Ng, S. Y., Thoo, Y. Y., Khoo, M. Z., Wan,
W. M. A., & Ho, C. W. (2011). Effect of ethanol con-
centration, extraction time and extraction tempera-
ture on the recovery of phenolic compounds and an-
tioxidant capacity of Orthosiphon stamineus extracts.
International Food Research Journal 18, 1427-1435.
www.jad.hcmuaf.edu.vn The Journal of Agriculture and Development 19(3)
74 Nong Lam University, Ho Chi Minh City
Connolly, D.L. (1993). Tannin extraction. US Patent 5,
238-680.
Eswari, M. L., Bharathi, R. V., & Jayshree, N. (2013).
Preliminary phytochemical screening and heavy metal
analysis of leaf extracts of Ziziphus oenoplia (L) Mill.
Gard. International Journal of Pharmaceutical Sci-
ences and Drug Research 5(1), 38-40.
Giang, H. T., Nguyen, H. T., Ngo, M. X., Nguyen, T.
T. B., Pham, N. D., Nguyen, O. T., Phan, H. T., &
Duez, P. (2013). Effects of raw material types on the
chemical composition of Trung Du tea variety (Camel-
lia sinensis var. sinensis). Journal Science & Devel-
opment 11(3), 373-379.
Guan, X., & Yao, H. (2008). Optimization of viscozyme L
assisted extraction of oat bran protein using response
surface methodology. Food Chemistry 106, 345-351.
Handa, S. S., Khanuja, S. P. S., Longo, G., & Rakesh,
D. D. (2008). Extraction technologies for medicinal
and aromatic plants (1st ed.). Trieste, Italy: United
Nations Industrial Development Organization and the
International Centre for Science and High Technology.
Hossain, M. A., Raqmi, K. A. S., Mijizy, Z. H., Weli,
A. M., & Riyami, Q. (2013). Study of total phenol,
flavonoids contents and phytochemical sreening of var-
ious leaves crude extracts of locally grown Thymus vu-
laris. Asian Pacific Journal of Tropical Biomedicine
3(9), 705-710.
Laitonjam, W. S., Yumnam, R., Asem, S. D., &
Wangkheirakpam, S. D. (2013). Evaluative and com-
parative study of biochemical, trace elements and an-
tioxidant activity of Phlogacanthus pubinervius T. An-
derson and Phlocanthus jenkincii C.B. Clarke leaves.
Indian Journal of Natural Products and Resources
4(1), 67-72.
Le, T. N. (2003). Food Chemistry. Ha Noi, Vietnam: Pub-
lishing House of Science and Technology.
Mohammad, K., Hefazat, H. S. & Sheeba, F. (2011). Free
radical scavenging and total phenolic content of Sac-
charum spontaneous L. root extracts. International
Journal of Research in Pharmacy and Chemistry 1(4),
1160-1166.
Pinelo, M., Fabbro, P. D., Manzocco, L., Nunez, M. J.,
& Nicoli, M. C. (2005a). Optimization of continuous
phenol extraction from vitisvinifera byproducts. Food
Chemistry 92(1), 109-117.
Pinelo, M., Rubilar, M., Jerez, M., Sineiro, J., & Nunez,
M. J. (2005b). Effect of solvent, temperature, and
solvent-to-solid ratio on the total phenolic content and
antiradical activity of extracts from different compo-
nents of grapepomace. Journal of Agricultural and
Food Chemistry 53(6), 2111-2117.
Rajha, H. N., Darra, N. E., Louka, N., Maroun, R. G.,
Ziegler, W., & Bochzelt, H. (2012). Valorization of in-
dustrial waste using energy saving procedures. Phe-
nolic compounds purification from grape by-products
by accelerated solvent extraction (ASE). International
Conference on Renewable Energies for Developing
Countries, 1-5.
Rajha, H. N., Louka, N., Darra, N. E., Hobaika, Z.,
Boussetta, N., Vorobiev, E., & Maroun, R. G. (2014).
Multiple response optimization of high temperature,
low time aqueous extraction process of phenolic com-
pounds from grape byproducts. Food and Nutrition
Sciences 5, 351-360.
Ramos, L., Kristenson, E. M., & Brinkman, U. A. (2002).
Current use of pressurised liquid extraction and sub-
critical water extraction in environmental analysis.
Journal of Chromatography A 975(1), 3-29.
Saha, D., & Paul, S. (2012). Antifungal activity of ethanol
extract of Pouzolzia Zeylanica (L.) Benn. International
Journal of Pharmacy Teaching and Pratices 3(2), 272-
274.
Saha, D., Paul, S., & Chowdhury, S. (2012). Antibacterial
activity of ethanol extract of Pouzolzia Zeylanica (L.)
Benn. International Journal of Pharmaceutical Inno-
vations (IJPI) 2(1), 1-5.
Sheng, Z. L., Wan, P. F., Dong, C. L., & Li, Y. H. (2013).
Optimization of total flavonoids content extracted
from Flos populi using response surface Methodology.
Industrial Crops and Products 43, 778-786.
Spigno, G., & De-Faveri, D. M. (2007). Antioxidants from
grape stalks and marc: influence of extraction proce-
dure on yield, purity and antioxidant power of the ex-
tracts. Journal of Food Engineering 78(3), 793-801.
Spigno, G., Tramelli, L., & De-Faveri, D. M. (2007). Ef-
fects of extraction time, temperature and solvent on
concentration and antioxidant activity of grape marc
phenolics. Journal of Food Engineering 81(1), 200-208.
Tran, T. T. M., Nguyen, H. T. T., Duong, N. T. M.,
Tran, L. C., & La, K. V. (2010). Experimental study
on some pharmacological effects of Pouzolzia zeylan-
ica and Tinospora crispa. Medicine Journal of Ho Chi
Minh City, Special Subject Traditional Medicine 14(2),
116-120.
Vo, C. V. (2012). Dictionary medicinal plants in Viet-
nam. Ha Noi, Vietnam: Medicine Publishing House.
Vu, S. H., & Ha, T. D. (2009). Study on polyphenol ex-
traction from dust green tea. Part 1. The influence
factors on polyphenol extraction. Journal of Science
and Technology 47(1), 81-86.
Vyas, J., Itankar, P., Tauqeer, M., Kelkar, A., & Agrawal,
M. (2013). Development of HPTLC method for estima-
tion of piperine, guggulsterone E and Z in polyherbal
formulation. Pharmacognosy Journal 5(6), 259-264.
Yilmaz, Y., & Toledo, R. T. (2006). Oxygen radical ab-
sorbance capacities of grape/wine industry by prod-
ucts and effect of solvent type on extraction of grape
seed polyphenols. Journal of Food Composition and
Analysis 19(1), 41-48.
Zabeti, M., Daud, W. M. A., & Aroua, M. K. (2009). Op-
timization of the activity of CaO/Al2O3 catalyst for
biodiesel production using response surface methodol-
ogy. Applied Catalysic A: General 366(1), 154-159.
The Journal of Agriculture and Development 19(3) www.jad.hcmuaf.edu.vn
Các file đính kèm theo tài liệu này:
optimization_of_aqueous_extraction_conditions_for_bioactive.pdf