2. 106
R.M.A. Domingues et al. / J. of Supercritical Fluids 74 (2013) 105–114
Fig. 1. Main triterpenic acids identified in E. globulus bark.
particular, SC-CO2 has been successfully employed in the extraction of numerous vegetable matrices [15,16,28–35] mainly due
to its favorable transport properties [36–40] and tunable solvent
strength, allied to low price and non-toxicity. Several reviews on
the SFE modeling and applications have been published over the
years [34,35,41,42].
The SC-CO2 has been successfully applied in the extraction of
triterpenes from several vegetable raw materials as, for instance,
betulin from the bark of Betula platyphylla [25] or ursolic and
oleanolic acids from the seeds of Plantago major L. [26]. We have
recently published [14] some preliminary results on the SFE of
TTAs from E. globulus deciduous bark with pure and modified CO2 ,
where it is demonstrated the chief influence of pressure and the
important role played by ethanol (cosolvent) upon the extraction
yields. Regarding the same species, a detailed study using pure SCCO2 has been also published, where the influence of solubility is
modeled and specifically focused [15]. The kinetic behavior of the
SFE of E. globulus has been also addressed in a different paper [16],
where extraction curves were measured and modeled using simple
expressions from the literature in order to devise the relevant mass
transfer limitations of the process.
These results induced us to carry out a detailed experimental
programme with the objective of evaluating the individual and
combined effects of the SFE operating conditions (pressure, temperature, and cosolvent content) upon the yield and quality of the
extracts of E. globulus deciduous bark. Such quality was measured
in terms of the concentration of TTAs in the final extracts. For this
purpose, a design of experiments (DOE) was followed in order to
identify the main factors and interactions influencing the measured
responses. The response surface methodology (RSM) was adopted
to establish validated response functions.
2. Materials and methods
2.1. Bark samples
Deciduous bark of E. globulus was randomly harvested from
a 20-year-old clone plantation cultivated in Eixo (40◦ 37 13.56 N,
8◦ 34 08.43 W), region of Aveiro, Portugal. The bark was then dried
in an oven at 40 ◦ C during approximately 72 h, reaching final moisture content between 2 and 5%, milled to granulometry lower than
2 mm prior to extraction, and stored in hermetically sealed bags
until use. Deciduous bark was selected as substrate, since it is
mostly outer bark (which favors the TTAs concentration) and avoids
felling a large number of trees to ensure a continuous supply of raw
material of controlled origin for a long-term study.
2.2. Chemicals
Nonacosan-1-ol (98% purity) and ˇ-sitosterol (99% purity)
were purchased from Fluka Chemie (Madrid, Spain); ursolic
acid (98% purity), betulinic acid (98% purity), and oleanolic
acid (98% purity) were purchased from Aktin Chemicals
(Chengdu, China); betulonic acid (95% purity) was purchased
from CHEMOS GmbH (Regenstauf, Germany); palmitic acid
(99% purity), dichloromethane (99% purity), pyridine (99%
purity),
bis(trimethylsilyl)trifluoroacetamide
(99%
purity),
trimethylchlorosilane (99% purity), and tetracosane (99% purity)
were supplied by Sigma Chemical Co. (Madrid, Spain). Carbon
dioxide was supplied with a purity of 99.95% from Praxair (Porto,
Portugal).
2.3. Soxhlet extraction
Samples of E. globulus deciduous bark (around 25 g) were
Soxhlet-extracted with dichloromethane for 7 h. The solvent was
evaporated to dryness, the extracts were weighed, and the results
were expressed in percent of dry bark. The results from Soxhlet
extraction were used as reference to measure the efficiency of the
supercritical extractions. Dichloromethane was chosen because it
is a fairly specific solvent for lipophilic extractives.
2.4. Supercritical fluid extractions
Supercritical extraction experiments were performed in an
apparatus purchased from Applied Separations (USA) (see
Fig. S1 in Supplementary Data). In this system, the liquid CO2 taken
from a cylinder is compressed to the desired extraction pressure
by means of a cooled liquid pump after which it goes through a
Coriolis mass flow meter used to measure the CO2 flow rate. The
liquid stream is then heated to the operating temperature in a
vessel placed before the extractor column. The solvent in the supercritical state then flows through the extractor where the sample
was previously loaded. Afterwards, the effluent from the extractor is depressurized in a heated backpressure regulator valve and
bubbled in ethanol to capture the extract for subsequent GC–MS
analysis. The spent CO2 is vented to the atmosphere. The addition
of cosolvent to the system is accomplished by a liquid pump (LabAlliance Model 1500) coupled to the gas line between the mass flow
meter and the heating vessel placed before the extractor column, in
order to mix both CO2 and cosolvent before feeding the extraction
vessel. The cosolvent flow rate is controlled by the liquid pump.
In each run, 70–80 g of milled bark was introduced in the extraction vessel. A constant CO2 mass flow rate of 6 g min−1 was used in
all extractions during 6 h, totalizing 2.2 kg of spent carbon dioxide.
Table 1 lists the remaining experimental conditions: temperature,
T, pressure, P, and cosolvent (ethanol:EtOH) added to CO2 . The solvent was evaporated first in a rotary evaporator, then in a nitrogen
stream and finally in a vacuum oven at 60 ◦ C for 6 h. The extracts
were weighed and the results expressed in percentage of dry bark.
3. R.M.A. Domingues et al. / J. of Supercritical Fluids 74 (2013) 105–114
Table 1
Codification and levels of the three independent variables considered for the SFE
factorial design of experiments.
Variable
Level correspondence
Low (−1)
Pressure (XP )
Temperature (XT )
Ethanol content (XEtOH )
Medium (0)
High (+1)
100 bar
40 ◦ C
0.0%
150 bar
50 ◦ C
2.5%
200 bar
60 ◦ C
5.0%
2.5. Design of experiments and response surface methodology
RSM is a useful used tool for analyzing the relationships between
measured responses (dependent variables) and factors (independent variables), allowing to minimize experimentation and leading
to correlations that can be used for optimization purposes [43],
mainly when rigorous modeling is difficult to apply. In recent years
it is being adopted to the SFE of solutes from distinct matrixes (e.g.,
references [12,44,45]).
In this work, it was studied the influence of temperature
(40–60 ◦ C), pressure (100–200 bar) and cosolvent addition (0–5%
wt.) upon the extraction yield, triterpenic acids recovery, and their
respective concentrations in extracts. The remaining independent
variables (e.g., solvent flow rate, extraction time, and bark particle
size) were kept constant during the experimental procedures. In
Table 1, the levels of the independent variables under investigation
are listed. In the whole, 26 experiments have been carried out in
this essay. Nonetheless, in order to perform with advantage a full
33 factorial design of experiments, 6 results from a previous publication [15] have been also included to complement and enrich the
statistical analysis of our work.
The three levels defined in Table 1 for each factor were codified
according to Eq. (1), so that their ranges of variation lie between −1
and 1:
Xk =
xk − x0
xk
(1)
where Xk is the coded value of the independent variable xk , x0 is its
real value at the center point, and xk is the step change in variable
k. In a system involving three significant independent variables, the
mathematical relationship of each response on these variables is
approximated by the general quadratic polynomial:
2
2
2
Y = ˇ0 + ˇ1 XP + ˇ2 XT + ˇ3 XEtOH + ˇ11 XP + ˇ22 XT + ˇ33 XEtOH
+ ˇ12 XP XT + ˇ13 XP XEtOH + ˇ23 XT XEtOH
(2)
where Y is the response, ˇ0 is a constant, ˇ1 , ˇ2 and ˇ3 are the
linear coefficients, ˇ12 , ˇ13 and ˇ23 are the interaction or crossed
coefficients, and ˇ11 , ˇ22 and ˇ33 are the quadratic coefficients.
STATISTICA software (version 5.1, StatSoft Inc., Tulsa, USA) was
used for statistical treatment of the results. Analysis of variance
(ANOVA) was employed to assess the statistically significant factors
and interactions using Fisher’s test and its associated probability p(F), while t-tests were performed to judge the significance
of the estimated coefficients in each model. The determination
2
coefficients, R2 , and their adjusted values, Radj , were used to evaluate the goodness of fit of the regression models.
In order to check the reproducibility of our experiments and the
applicability of the models for subsequent predictions, additional
runs were performed: (i) replicates at [200 bar, 60 ◦ C, 0.0% EtOH;
runs 32 and 33 in Table 2] and [200 bar, 60 ◦ C, 5.0% EtOH; runs
34 and 35 in Table 2] for the reproducibility assessment, and one
run at [170 bar, 50 ◦ C, 2.5% EtOH, run 31, see Table 2] to construct
the validation set of the model. This set includes also three experiments retrieved from previous work [15], at [140 bar, 0% EtOH, and
40/50/60 ◦ C; runs 28–30 in Table 2].
107
2.6. GC–MS analyses
Before each GC–MS analysis, nearly 20 mg of dried sample were
converted into trimethylsilyl (TMS) derivatives according to the literature [11]. GC–MS analyses were performed using a Trace Gas
Chromatograph 2000 Series equipped with a Thermo Scientific
DSQ II mass spectrometer, using helium as carrier gas (35 cm s−1 ),
equipped with a DB-1 J&W capillary column (30 m × 0.32 mm i.d.,
0.25 m film thickness). The chromatographic conditions were as
follows: initial temperature: 80 ◦ C for 5 min; temperature rate of
4 ◦ C min−1 up to 260 ◦ C and 2 ◦ C min−1 till the final temperature
of 285 ◦ C; maintained at 285 ◦ C for 10 min; injector temperature:
250 ◦ C; transfer-line temperature: 290 ◦ C; split ratio: 1:50. The MS
was operated in the electron impact mode with electron impact
energy of 70 eV and data collected at a rate of 1 scan s−1 over a
range of m/z 33–700. The ion source was maintained at 250 ◦ C.
For quantitative analysis, the GC–MS instrument was calibrated with pure reference compounds, representative of the
major lipophilic extractives components (namely, palmitic acid,
nonacosan-1-ol, ˇ-sitosterol, betulinic acid, ursolic acid and,
oleanolic acid), relative to tetracosane, the internal standard used.
The respective multiplication factors needed to obtain correct
quantification of the peak areas were calculated as an average of
six GC–MS runs. Compounds were identified, as TMS derivatives,
by comparing their mass spectra with the GC–MS spectral library
(Wiley, NIST Mass Spectral Library 1999), with data from the literature [11,46,47] and, in some cases, by injection of standards.
Each sample was injected in triplicate. The results presented are
the average of the concordant values obtained for each sample (<5%
variation between injections of the same sample).
3. Results and discussion
The main objective of this work is to study the SC-CO2 extraction of E. globulus deciduous bark maximizing TTAs yield and
their concentration in extracts. Taking into account the structures of the TTAs (Fig. 1), particularly the different polarities
between free TTAs (ursolic, oleanolic, betulinic, and betulonic
acids) and acetylated TTAs (3-acetylursolic, 3-acetyloleanolic acids
and 3-acetylbetulinic), they exhibit distinct solubilities in SC-CO2 .
Accordingly, five responses of interest were studied in parallel
based on the 33 full factorial DOE, specifically total extraction yield,
TTAs yield, their respective free and acetylated yields, and TTAs
concentration.
The results of the 35 SFE runs considered in this work are collected in Table 2, along with the three independent variables in
coded form. Globally, there are 21 new experiments for the DOE, 4
for reproducibility test, and 1 for the validation of the models; the
remaining 6 results were taken from de Melo et al. [15].
Within the experimental space considered, the total extraction
yield ranged from 0.04% (wt.) in run 7 [100 bar, 60 ◦ C, 0% EtOH] to
1.2% (wt.) in run 21 [200 bar, 40 ◦ C, 5% EtOH]. Regarding the extraction of TTAs, experimental runs led to a minimum of 0.05 g/kg of
bark and a maximum of 4.95 g/kg of bark, which correspond to 0.7
and 76.8% of the reference value measured by conventional Soxhlet,
respectively. The TTAs concentration in the extracts ranged from
5.7% in runs 4 [100 bar, 50 ◦ C, 0% EtOH] and 16 [100 bar, 60 ◦ C, 2.5%
EtOH] to 43.0% and 43.1% obtained in runs 27 [200 bar, 60 ◦ C, 5%
EtOH] and 24 [200 bar, 50 ◦ C, 5% EtOH], respectively.
In order to investigate the main factors and interactions influencing the five responses of interest, and to evaluate their trends
upon variation of the factors within the ranges considered, polynomial regressions were fitted following the RSM. The regression
coefficients obtained for each response using coded variables, are
listed in Table 3. The statistically significant coefficients at 95%
4. 108
R.M.A. Domingues et al. / J. of Supercritical Fluids 74 (2013) 105–114
Table 2
Results of the SFE of E. globulus bark samples considered in this work.
Exp
Objectivea
XP
XT
XEtOH
Extraction yield (%, wt.)
Yield TTA (mg/kgbark )
TTA concent. (%, wt.)
Free
1b
2
3b
4b
5
6b
7b
8
9b
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28b
29b
30b
31
32
33
34
35
a
b
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
DOE
Valid.
Valid.
Valid.
Valid.
Reprod.
Reprod.
Reprod.
Reprod.
−1
0
1
−1
0
1
−1
0
1
−1
0
1
−1
0
1
−1
0
1
−1
0
1
−1
0
1
−1
0
1
−0.2
−0.2
−0.2
0.4
1
1
1
1
−1
−1
−1
0
0
0
1
1
1
−1
−1
−1
0
0
0
1
1
1
−1
−1
−1
0
0
0
1
1
1
−1
0
1
0
1
1
1
1
−1
−1
−1
−1
−1
−1
−1
−1
−1
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
−1
−1
−1
0
−1
−1
1
1
Total
67.1
339.4
403.0
22.6
353.5
690.6
17.7
169.1
495.1
535.3
1252.8
1339.2
261.0
894.2
1330.6
26.4
738.4
1083.0
1164.5
1783.9
2744.2
747.8
1412.4
2285.5
136.2
1207.3
2227.5
296.7
286.7
176.8
1040.0
498.6
520.1
2000.5
2103.5
0.27
0.46
0.57
0.09
0.46
0.53
0.04
0.33
0.77
0.50
0.81
0.86
0.34
0.66
0.83
0.14
0.71
0.92
0.70
0.91
1.23
0.56
0.92
1.03
0.14
0.79
1.00
0.43
0.41
0.26
0.68
0.74
0.76
0.94
1.01
Acetylated
368.3
764.5
1437.3
28.4
729.9
1300.9
27.8
425.6
1044.7
1158.6
2080.0
1987.4
630.9
1461.8
2082.2
51.2
1390.5
1922.7
1715.7
1785.9
2205.1
1060.1
1599.1
2156.2
200.0
1436.0
2114.8
657.9
599.9
325.0
1368.4
998.2
1101.6
1811.2
1978.2
435.4
1103.9
1840.3
51.0
1083.4
1991.5
45.6
594.7
1539.7
1693.9
3332.8
3326.6
891.9
2356.0
3412.8
77.6
2128.9
3005.7
2880.3
3569.8
4949.4
1807.8
3011.6
4441.7
336.2
2643.3
4342.3
954.6
886.6
501.8
2408.4
1496.8
1621.7
3811.7
4081.7
16.12
23.89
32.04
5.67
23.62
37.61
11.39
18.02
20.00
33.92
41.35
38.84
26.12
35.67
40.97
5.71
29.85
32.56
41.15
39.14
40.24
32.28
32.66
43.12
24.02
33.37
43.00
22.2
21.6
19.3
35.4
20.1
21.2
40.5
40.4
DOE = design of experiments; Valid. = validation set; Reprod. = reproducibility set.
Retrieved from [15].
confidence level are highlighted in bold. Concerning the fitting adequacy, the obtained models represented well the experimental data
(R2 in the range of 0.857–0.983). The regression for the TTAs concentration was the only which led to determination coefficients
2
below 0.9, namely R2 = 0.857 and Radj = 0.782. If compared within
2
each response, the adjusted determination coefficients (Radj ), that
take into account both R2 and the degrees of freedom, did not differ notably from their corresponding R2 . It is known that when
2
R2 and Radj differ considerably the model is prone to include nonsignificant terms [43].
The coefficients that were not significant (t-test, 17 degrees of
freedom, p > 0.05) were removed from the general polynomial, Eq.
(2). Then the final models were refitted to data and converted to
uncoded variables, namely, extraction pressure (in bar), temperature (in ◦ C), and content of ethanol added to SC-CO2 (%, wt.).
The reduced experimental equations are shown in Table 4. In all
Table 3
Regression coefficients of the quadratic model given by Eq. (2), their individual significance at 95% confidence level, and respective determination coefficients for the full
model (FM). (Values in bold represent significant coefficients.)
Regressed
coefficients of Eq. (2)
Total extraction yield
TTAs extraction yield
Free TTAs
TTAs concentration
Acetylated TTAs
Total
FM
ˇ0
ˇ1
ˇ2
ˇ3
ˇ12
ˇ13
ˇ23
ˇ11
ˇ22
ˇ33
R2
R2 adj
p
FM
P
FM
p
FM
p
FM
p
0.688148
0.275556
−0.08167
0.208889
0.098333
0.0325
−0.0625
−0.08778
0.017222
−0.04111
<0.001
<0.001
<0.001
<0.001
<0.001
0.140
0.008
0.009
0.569
0.184
865.6926
534.45
−196.039
619.5111
75.48333
310.6167
−166.167
−40.2611
−14.7944
74.75556
<0.001
<0.001
<0.001
<0.001
0.047
<0.001
<0.001
0.430
0.770
0.152
1486.411
611.6833
−271.639
452.5278
201.3333
11.825
−73.6583
−103.017
0.95
−285.017
<0.001
<0.001
<0.001
<0.001
0.003
0.844
0.230
0.235
0.991
0.003
2352.211
1146.128
−467.794
1072.039
276.8
322.4667
−239.733
−143.45
−13.4833
−210.517
<0.001
<0.001
<0.001
<0.001
0.004
0.001
0.011
0.242
0.911
0.093
33.93259
7.333333
−4.93167
7.812222
2.875833
−2.29667
0.208333
−1.68778
−1.71278
−2.92444
<0.001
<0.001
0.001
<0.001
0.072
0.144
0.891
0.437
0.430
0.186
0.965
0.947
0.983
0.974
0.947
0.919
0.973
0.959
0.857
0.782
5. R.M.A. Domingues et al. / J. of Supercritical Fluids 74 (2013) 105–114
109
Table 4
Reduced experimental models (RM) fitted to the responses of the 27 DOE runs of Table 2.
Response
Extraction yield
(%, wt.)
Free TTAs
(mg/kgbark )
Acetylated TTAs
(mg/kgbark )
Total TTAs
(mg/kgbark )
TTAs concentration
(mg/kgbark )
Equation
Reduced experimental models
2
R2
R2 adj
Y1 = 0.43343 − 0.031412T + 0.0062111P + 0.20826EtOH − 0.000035111EtOH + 0.000019667P −
0.0025000T EtOH
Y2 = 869.43 − 25.632T − 3.0717P + 207.40CoSolv − 6.6467T EtOH + 2.4849PEtOH
(3)
0.956
0.943
(4)
0.980
0.974
Y3 = 3224.0 − 87.564T − 7.8997P − 45.603EtOH2 + 409.02EtOH + 0.40267PT
(5)
0.938
0.923
Y4 = 3856.5 − 105.85T − 11.207P + 521.54EtOH + 0.5536PT − 9.5893T EtOH + 2.5797PEtOH
(6)
0.966
0.955
Y5 = 24.562 − 0.49317T + 0.14667P + 3.1249EtOH
(7)
0.780
0.751
Fig. 2. Response surfaces plotting the effects of pressure and temperature over: (a) total extraction yield, and (b) triterpenic acids yield, for 5% EtOH content. Dots are
experimental data, and surfaces are given by Eqs. (3) and (6) (Table 4), respectively.
models the individual factors (pressure, temperature and ethanol
content) revealed to be statistically significant. From the signal
of the coefficients, it may be figured out the positive or negative
impact of these factors upon the responses. In all cases, pressure
and ethanol addition favored the results, while temperature was
seen to unfavorably affect all responses. It is well known that an
isobaric increase of temperature decreases the SC-CO2 density, thus
reducing its solvent power. On other hand, the vapor pressure of
solutes increases with temperature, which increments their solubilities in the supercritical solvent. Taking into account that the
measured extraction yields evidence no enhancement with temperature (at the same pressure), it is possible to conclude that
in the range of our experimental conditions the density reduction prevails over vapor pressure increase. This behavior can be
seen in Fig. 2, where the total extraction (Fig. 2a) and the TTAs
(Fig. 2b) yields are plotted as functions of P and T for 5% EtOH
addition. However, this trend is more pronounced at low pressure
(100 bar) due to the large compressibility of CO2 near the critical point. At 200 bar this effect is much more attenuated but not
eliminated.
also confirms this assertion. This trend was also observed in the
other responses studied. All the independent variables (P, T, and
% EtOH) (p < 0.001, as well as the interactions P–T (p < 0.001) and
T–%EtOH (p < 0.008), affected the total extraction yield significantly
(see Table 3 or the reduced model (Eq. (3)) in Table 4).
3.1. Total extraction yield
Fig. 3 shows the fitted response surface for the total extraction
yield (Eq. (3) in Table 4) at 40 ◦ C, where dots represent experimental data. One may conclude that the regression model is in
good agreement with the lab results, which is also confirmed by
2
the determination coefficients found (R2 = 0.956 and Radj = 0.943).
The unbiased distribution of the points near the diagonal in Fig. 4,
where predicted yields are plotted against the measured values,
Fig. 3. Response surface showing the effect of pressure and ethanol content on the
total extraction yield at 40 ◦ C. Dots are experimental data, and surface is given by
Eq. (3) (Table 4).
6. 110
R.M.A. Domingues et al. / J. of Supercritical Fluids 74 (2013) 105–114
As previously referred, both P and % EtOH have a positive effect
upon the extraction yield. By comparing the results measured at
200 bar and 0% EtOH (0.57%, wt.) and 100 bar and 5% EtOH (0.76%,
wt.), one conclude that 5% EtOH leads to an extraction enhancement
higher than that achieved by a 100 bar increment. This behavior
emphasizes the chief role played by cosolvent due to the polarity
modification imparted to the supercritical solvent.
Despite the apparent benefit of cosolvent upon the extraction
yield, it may increase the solubility of both valuable and nonvaluable compounds. For this reason, detailed responses regarding
TTAs extraction and their concentration will be analyzed in the next
sections.
3.2. Triterpenic acids extraction yield
Fig. 4. Measured versus predicted total extraction yield (%, wt).
The fitted surfaces and experimental data of the overall TTAs
extraction yield (Eq. (6) in Table 4) and their individual subgroups
– free TTAs (Eq. (4) in Table 4) and acetylated TTAs (Eq. (5) in
Table 4) – are illustrated in Fig. 5a–c, respectively, for the constant
temperature of 40 ◦ C.
Fig. 5. Response surfaces at 40 ◦ C showing the effects of pressure and ethanol content on the (a) total TTAs extraction yield, (b) individual contribution of acetylated TTAs,
and (c) individual contribution of free TTAs. Dots are experimental data, and surfaces are given by Eqs. (6), (5) and (4) (Table 4), respectively.
7. R.M.A. Domingues et al. / J. of Supercritical Fluids 74 (2013) 105–114
111
Fig. 6. Response surface showing the effect of pressure and ethanol content on triterpenic acids concentration in the extracts for: (a) T= 40◦ C, and (b) T= 60◦ C. Dots are
experimental data, and surface is given by Eq. (7) (Table 4).
The overall TTAs extraction yield clearly depends not only on
the ethanol content (p < 0.001) and pressure (p < 0.001) but also
on their combined effect (p < 0.001), in a very parallel way to that
seen above for total extraction yield. It should be pointed out
that experiments without cosolvent addition moderately uptake
this family of compounds comparatively to the removal achieved
by Soxhlet extraction with dichloromethane. For instance, the
maximum and minimum values obtained without cosolvent are
2.00 [200 bar, 50 ◦ C] and 0.05 g/kg [100 bar, 60 ◦ C], while the introduction of ethanol raises them to 4.95 [200 bar, 40 ◦ C] and 0.34
[100 bar, 60 ◦ C], respectively; these values correspond to 30.9, 0.7,
76.9 and 5.2% of the TTAs yield registered by Soxhlet extraction.
With regard to the individual contributions of the free TTAs
(Fig. 5b) and acetyl derivatives (Fig. 5c) to the whole triterpenic
acids family at 40 ◦ C, considerable differences between their trends
can be perceived: while the extraction of acetylated molecules
increase with pressure and cosolvent content until reaching a
plateau near 200 bar and 5% EtOH, the free TTAs removal does not
stabilize within the range of conditions studied. Acetylated TTAs
are extracted in large extent with pure CO2 , attaining 65.6% of the
Soxhlet reference value at 200 bar and 40 ◦ C, because of their higher
nonpolar character and thus higher affinity to SC-CO2 . This behavior is confirmed by their contributions to the overall extraction of
TTAs: there are 78% of acetylated acids at 100 bar and 85% at 200 bar.
Consequently, without the aid of EtOH, the global TTAs extraction
remains reliant on the acetylated TTAs contribution, as the yield of
the free acids is too low to play a relevant role.
On the other hand, the increased polarity imparted by ethanol
favors molecular interactions between the supercritical solvent
and the more polar triterpenoids, increasing the removal of free
triterpenic acids (2.74 g/kg of bark for 200 bar, 40 ◦ C, 5% EtOH, corresponding to 62.8% of the Soxhlet extraction value) and thus the
overall TTAs extraction yield. This subgroup is the most abundant of
the TTAs existent in the bark and represents 67.7% of their respective Soxhlet content.
3.3. Triterpenic acids concentration in extracts
Fig. 6a and b plots the experimental TTAs concentration in the
extracts along with the regressed surfaces (Eq. (7) in Table 4) at 40
and 60 ◦ C, respectively.
Despite the lower correlation coefficients achieved (Table 4),
the fitted model reasonably describe the experimental results
and trends. The maximum concentration predicted by the model
rounds 50% (wt.) and it is achieved at 200 bar, 40 ◦ C, 5% EtOH
(Fig. 6a). This result is overestimated since the experimental concentration is 43.0% (wt.). On the other hand, the minimum at 40 ◦ C
totals 16% (wt.), being obtained at 100 bar without ethanol addition. The pressure range of 100 to 150 bar, and 0% EtOH correspond
to the poor extraction conditions in terms of purity: between 15
and 25% only.
The aforepresented results revealed to be possible to boost TTAs
extraction using the combination of both pressure and ethanol
addition, as they expose that the same conditions that favor the
increase of the total extraction yield also lead to an enhancement
of the TTA concentration in the extracts.
3.4. Reproducibility and validation tests
As formerly stated, some runs were carried out to test the
experimental reproducibility and assess the validation of regressed
models. In this respect, two replicates of runs 9 and 27 were
considered (runs 32–35), while runs 28–31 were used for validation purposes. The individual responses are compiled in Table 5,
¯
together with the calculated averages (y) and standard deviations
(SD) for the reproducibility set, and the average absolute relative
deviations (AARDs) for the validation set.
With regard to the reproducibility tests, the results show that,
in general, the standard deviations are within 2–8% of the averages, indicating that the sample-to-sample reproducibility is very
acceptable considering that natural raw materials are involved in
the experiments.
With regard to the models validation, it is possible to observe
that they provide reliable estimates of the measured data. Note that
the validation set is included in the experimental space but was
established for conditions not considered in the design of experiments (e.g., 140 bar, 170 bar, 2.5% EtOH). The AARDs found were
15.1, 11.7, 21.2, 11.5 and 11.8% for the global, free TTAs, acetylated
TTAs, total TTAs extraction yields and TTAs concentration in the
extracts, respectively. In the whole, the average deviation of 14.3%
found confirms the acceptable predictive capability of the regressed
equations, particularly if we take into account that they are strict
reduced models (Table 4) and because of the aforementioned
9. R.M.A. Domingues et al. / J. of Supercritical Fluids 74 (2013) 105–114
nature of the biomass. In numerous works in the literature, authors
accomplish the calculations with full models, despite containing
non-significant terms, which obviously improve the fittings and
estimates.
4. Conclusions
In this work, the supercritical CO2 extraction of E. globulus deciduous bark was carried out at different temperatures
(40–60 ◦ C), pressures (100–200 bar), and cosolvent (EtOH) contents
(0.0–5.0 wt. %) in order to select the optimum conditions that,
within the ranges considered, maximize triterpenic acids recovery and their concentration in extracts. The optimized independent
variables were: 200 bar, 40 ◦ C and 5% EtOH. Under these conditions, the regressed models provided an extraction yield of 1.2%
(wt.), TTAs concentration of 50%, which corresponds to TTAs yield
of 5.1 g/kg of bark and a recovery of 79.2% in comparison to reference Soxhlet extraction. The behavior of the free and acetylated
TTAs extraction was significantly different. The acetyl derivatives
were extensively removed and tended to a plateau near 200 bar
and 5% EtOH, while the free acids extraction always increased in
the range of conditions studied. These results may be attributed to
the inferior polarity of acetylated TTAs, and thus higher affinity to
SC-CO2 , when compared to the unesterified triterpenoids.
Acknowledgments
We acknowledge the 7th Framework Programme FP7/2007–
2013 for funding project AFORE: Forest Biorefineries: Added-value
from chemicals and polymers by new integrated separation, fractionation and upgrading technologies (CP-IP 228589-2), the BIIPP
project (QREN 11551) for awarding a grant to R.M.A.D., and to
CICECO (Pest-C/CTM/LA0011/2011).
Appendix A. Supplementary data
Supplementary data associated with this article can be
found, in the online version, at http://dx.doi.org/10.1016/j.supflu.
2012.12.005.
References
[1] S. Fernando, S. Adhikari, C. Chandrapal, N. Murali, Biorefineries: current status,
challenges, and future direction, Energy & Fuels 20 (2006) 1727–1737.
[2] J.E. Holladay, J.F., White, J.J., Bozell, D. Johnson. Top value-added chemicals from
biomass: vol II—results of screening for potential candidates from biorefinery
lignin, 2007. Available from: http://www.pnl.gov/main/publications/external/
technical reports/PNNL-16983.pdf
[3] G.I. Trabado, D. Wilstermann, Eucalyptus universalis, Global Cultivated Eucalypt Forest Map 200 (2008) 8, Available from: http://www.git-forestry.com/
[4] R.M.A. Domingues, G.D.A. Sousa, C.S.R. Freire, A.J.D. Silvestre, C.P. Neto,
Eucalyptus globulus biomass residues from pulping industry as a source of
high value triterpenic compounds, Industrial Crops and Products 31 (2010)
65–70.
[5] P. Fernandes, J.M.S. Cabral, Phytosterols: applications and recovery methods,
Bioresource Technology 98 (2007) 2335–2350.
[6] A. Hamunen. Process for the purification of -sitosterol isolated from the
unsaponifiables in crude soap from the sulphate cellulose process, 1983. US
Patent 4422974.
[7] S.P. Pietarinen, S.M. Willfor, M.O. Ahotupa, J.E. Hemming, B.R. Holmbom, Knotwood and bark extracts: strong antioxidants from waste materials, Journal of
Wood Science 52 (2006) 436–444.
[8] P.A. Krasutsky, Birch bark research and development, Natural Product Reports
23 (2006) 919–942.
[9] R.M.A. Domingues, D.J.S. Patinha, G.D.A. Sousa, J.J. Villaverde, C.M. Silva, C.S.R.
Freire, A.J.D. Silvestre, C.P. Neto, Eucalyptus biomass residues from agro-forest
and pulping industries as sources of high-value triterpenic compounds, Cellulose Chemistry and Technology 45 (2011) 475–481.
[10] R.M.A. Domingues, G.D.A. Sousa, C.M. Silva, C.S.R. Freire, A.J.D. Silvestre, C.P.
Neto, High value triterpenic compounds from the outer barks of several Eucalyptus species cultivated in Brazil and in Portugal, Industrial Crops and Products
33 (2011) 158–164.
113
[11] C.S.R. Freire, A.J.D. Silvestre, C.P. Neto, J.A.S. Cavaleiro, Lipophilic extractives
of the inner and outer barks of Eucalyptus globulus, Holzforschung 56 (2002)
372–379.
[12] S.A.O. Santos, J.J. Villaverde, C.M. Silva, C.P. Neto, A.J.D. Silvestre, Supercritical
fluid extraction of phenolic compounds from Eucalyptus globulus Labill bark,
Journal of Supercritical Fluids 71 (2012) 71–79.
[13] D.J.S. Patinha, R.M.A. Domingues, J.J. Villaverde, A.M.S. Silva, C.M. Silva, C.S.R.
Freire, C.P. Neto, A.J.D. Silvestre, Lipophilic extractives from the bark of
Eucalyptus grandis x globulus, a rich source of methyl morolate: selective extraction with supercritical CO2, Industrial Crops and Products 43 (2013) 340–
348.
[14] R.M.A. Domingues, E.L.G. Oliveira, C.S.R. Freire, R.M. Couto, P.C. Simoes, C.P.
Neto, A.J.D. Silvestre, C.M. Silva, Supercritical fluid extraction of Eucalyptus
globulus bark-A promising approach for triterpenoid production, International
Journal of Molecular Sciences 13 (2012) 7648–7662.
[15] M.M.R. de Melo, E.L.G. Oliveira, A.J.D. Silvestre, C.M. Silva, Supercritical fluid
extraction of triterpenic acids from Eucalyptus globulus bark, Journal of Supercritical Fluids 70 (2012) 137–145.
[16] R.M.A. Domingues, M.M.R. de Melo, C.P. Neto, A.J.D. Silvestre, C.M. Silva,
Measurement and modeling of supercritical fluid extraction curves of Eucalyptus globulus bark: influence of the operating conditions upon yields
and extract composition, The Journal of Supercritical Fluids 72 (2012)
176–185.
[17] M.N. Laszczyk, Pentacyclic triterpenes of the lupane, oleanane and ursane group
as tools in cancer therapy, Planta Medica 75 (2009) 1549–1560.
[18] P. Dzubak, M. Hajduch, D. Vydra, A. Hustova, M. Kvasnica, D. Biedermann,
L. Markova, M. Urban, J. Sarek, Pharmacological activities of natural triterpenoids and their therapeutic implications, Natural Product Reports 23 (2006)
394–411.
[19] N. Sultana, A. Ata, Oleanolic acid and related derivatives as medicinally important compounds, Journal of Enzyme Inhibition and Medicinal Chemistry 23
(2008) 739–756.
[20] P. Yogeeswari, D. Sriram, Betulinic acid and its derivatives: a review on their
biological properties, Current Medicinal Chemistry 12 (2005) 657–666.
[21] J. Li, W.J. Guo, Q.Y. Yang, Effects of ursolic acid and oleanolic acid on human
colon carcinoma cell line HCT15, World Journal of Gastroenterology 8 (2002)
493–495.
[22] F. Mengoni, M. Lichtner, L. Battinelli, M. Marzi, C.M. Mastroianni, V. Vullo,
G. Mazzanti, In vitro anti-HIV activity of oleanolic acid on infected human
mononuclear cells, Planta Medica 68 (2002) 111–114.
[23] S. Fontanay, M. Grare, J. Mayer, C. Finance, R.E. Duval, Ursolic, oleanolic
and betulinic acids: antibacterial spectra and selectivity indexes, Journal of
Ethnopharmacology 120 (2008) 272–276.
[24] G.B. Singh, S. Singh, S. Bani, B.D. Gupta, S.K. Banerjee, Anti-inflammatory activity
of oleanolic acid in rats and mice, Journal of Pharmacy and Pharmacology 44
(1992) 456–458.
[25] J.H. Clark, S.J. Tavener, Alternative solvents: shades of green, Organic Process
Research & Development 11 (2007) 149–155.
[26] F.E.I. Deswarte, J.H. Clark, J.J.E. Hardy, Extraction of high-value chemicals from
wheat straw by supercritical carbon dioxide, Abstracts of Papers of the American Chemical Society 230 (2005) U61–U62.
[27] C. Eckert, C. Liotta, A. Ragauskas, J. Hallett, C. Kitchens, E. Hill, L. Draucker, Tunable solvents for fine chemicals from the biorefinery, Green Chemistry 9 (2007)
545–548.
[28] V. Castola, B. Marongiu, A. Bighelli, C. Floris, A. Laï, J. Casanova, Extractives of
cork (Quercus suber L.): chemical composition of dichloromethane and supercritical CO2 extracts, Industrial Crops and Products 21 (2005) 65–69.
[29] A. Felföldi-Gáva, S. Szarka, B. Simándi, B. Blazics, B. Simon, A. Kéry, Supercritical
fluid extraction of Alnus glutinosa L. Gaertn, The Journal of Supercritical Fluids
61 (2012) 55–61.
[30] C.P. Passos, R.M. Silva, F.A. Da Silva, M.A. Coimbra, C.M. Silva, Enhancement
of the supercritical fluid extraction of grape seed oil by using enzymatically
pre-treated seed, The Journal of Supercritical Fluids 48 (2009) 225–229.
[31] C.P. Passos, R.M. Silva, F.A. Da Silva, M.A. Coimbra, C.M. Silva, Supercritical fluid
extraction of grape seed (Vitis vinifera L.) oil. Effect of the operating conditions
upon oil composition and antioxidant capacity, Chemical Engineering Journal
160 (2010) 634–640.
[32] J. Shi, C. Yi, S.J. Xue, Y. Jiang, Y. Ma, D. Li, Effects of modifiers on the profile
of lycopene extracted from tomato skins by supercritical CO2 , Journal of Food
Engineering 93 (2009) 431–436.
´
´
[33] B. Damjanovic, D. Skala, J. Baras, D. Petrovic-Djakov, Isolation of essential oil
and supercritical carbon dioxide extract of Juniperus communis L. fruits from
Montenegro, Flavour and Fragrance Journal 21 (2006) 875–880.
[34] H. Sovova, R.P. Stateva, Supercritical fluid extraction from vegetable materials,
Reviews in Chemical Engineering 27 (2011) 79–156.
[35] E. Reverchon, I. De Marco, Supercritical fluid extraction and fractionation of
natural matter, The Journal of Supercritical Fluids 38 (2006) 146–166.
[36] A.L. Magalha˜es, S.P. Cardoso, B.R. Figueiredo, F.A. Da Silva, C.M. Silva, Revisiting
the Liu–Silva–Macedo model for tracer diffusion coefficients of supercritical,
liquid, and gaseous systems, Industrial & Engineering Chemistry Research 49
(2010) 7697–7700.
[37] A.L. Magalhães, F.A. Da Silva, C.M. Silva, New models for tracer diffusion
coefficients of hard sphere and real systems: application to gases, liquids and
supercritical fluids, The Journal of Supercritical Fluids 55 (2011) 898–923.
[38] A.L. Magalhães, F.A. Da Silva, C.M. Silva, Tracer diffusion coefficients of polar
systems, Chemical Engineering Science 73 (2012) 151–168.
10. 114
R.M.A. Domingues et al. / J. of Supercritical Fluids 74 (2013) 105–114
[39] H. Liu, C.M. Silva, E.A. Macedo, New equations for tracer diffusion coefficients
of solutes in supercritical and liquid solvents based on the LennardJones fluid model, Industrial & Engineering Chemistry Research 36 (1997)
246–252.
[40] A.L. Magalha˜es, F.A. Da Silva, C.M. Silva. Free-volume model for the diffusion coefficients of solutes at infinite dilution in supercritical CO2 and liquid
H2 O, The Journal of Supercritical Fluids, http://dx.doi.org/10.1016/j.supflu.
2012.12.004, in press.
[41] E.L.G. Oliveira, A.J.D. Silvestre, C.M. Silva, Review of kinetic models for supercritical fluid extraction, Chemical Engineering Research and Design 89 (2011)
1104–1117.
[42] M.J.H. Akanda, M.Z.I. Sarker, S. Ferdosh, M.Y.A. Manap, N.N.N. Ab Rahman, M.O.
Ab Kadir, Applications of supercritical fluid extraction (SFE) of palm oil and oil
from natural sources, Molecules 17 (2012) 1764–1794.
[43] D.C. Montgomery, Design and Analysis of Experiments, fifth ed., Wiley, New
York, 2000.
[44] S.G. Özkal, M.E. Yener, L. Bayındırlı, Response surfaces of apricot kernel oil yield
in supercritical carbon dioxide, LWT – Food Science and Technology 38 (2005)
611–616.
[45] M.G. Bernardo-Gil, R. Roque, L.B. Roseiro, L.C. Duarte, F. Gírio, P. Esteves,
Supercritical extraction of carob kibbles (Ceratonia siliqua L.), The Journal of
Supercritical Fluids 59 (2011) 36–42.
[46] A.N. Assimopoulou, V.P. Papageorgiou, GC–MS analysis of penta- and tetracyclic triterpenes from resins of Pistacia species. Part II. Pistacia terebinthus var.
Chia, Biomedical Chromatography 19 (2005) 586–605.
[47] H. Budzikiewicz, J.M. Wilson, C. Djerassi, Mass spectrometry in structural and
stereochemical problems. 32 pentacyclic triterpenes, Journal of the American
Chemical Society 85 (1963) 3688–3699.