Aqueous two-phase system(s) (ATPS) has/have been widely employed in the extraction and separation of bioactive molecules from herbs due to its various advantages such as high efficiency and good selectivity. For selecting the type and amount of organics and salts in ATPS, onerous experimental trials are required to ensure the reliability. We intended to develop a theoretical method to select ATPS in the case of paeonol extraction from cortex moutan. The solvation free energies (E solv) of paeonol in the top phase of 54 ATPS (ATPS-acetone, ATPS-acetone-EA, ATPS-THF, ATPS-THF-EA, ATPS-EtOH, and ATPS-EtOH-EA) were calculated with Gaussian 09, and the extraction yields with 54 ATPS were determined. By comparison of E solv and yield, the E solv rank was effective to select the optimal organic type and organic solvent fraction and aqueous salt concentration. With each series of 18 ATPS (ATPS-acetone plus ATPS-acetone-EA; ATPS-THF plus ATPS-THF-EA; or ATPS-EtOH plus ATPS-EtOH-EA), the paeonol yield was correlated with E solv, suggesting that the optimal organic type and fraction and the aqueous NaH2PO4 concentration could be selected by using theoretical E solv, or at least, the theoretical E solv rank could offer effective guidance for experimental design, and thus, tedious and onerous experimental work for optimization in ATPS extraction can be significantly reduced.
Aqueous two-phase system(s) (ATPS) has/have been widely employed in the extraction and separation of bioactive molecules from herbs due to its various advantages such as high efficiency and good selectivity. For selecting the type and amount of organics and salts in ATPS, onerous experimental trials are required to ensure the reliability. We intended to develop a theoretical method to select ATPS in the case of paeonol extraction from cortex moutan. The solvation free energies (E solv) of paeonol in the top phase of 54 ATPS (ATPS-acetone, ATPS-acetone-EA, ATPS-THF, ATPS-THF-EA, ATPS-EtOH, and ATPS-EtOH-EA) were calculated with Gaussian 09, and the extraction yields with 54 ATPS were determined. By comparison of E solv and yield, the E solv rank was effective to select the optimal organic type and organic solvent fraction and aqueous salt concentration. With each series of 18 ATPS (ATPS-acetone plus ATPS-acetone-EA; ATPS-THF plus ATPS-THF-EA; or ATPS-EtOH plus ATPS-EtOH-EA), the paeonol yield was correlated with E solv, suggesting that the optimal organic type and fraction and the aqueous NaH2PO4 concentration could be selected by using theoretical E solv, or at least, the theoretical E solv rank could offer effective guidance for experimental design, and thus, tedious and onerous experimental work for optimization in ATPS extraction can be significantly reduced.
Aqueous two-phase system(s) (ATPS) is/are
generally formed by the
addition of two (or more) incompatible water-soluble components (e.g., polymers, ionic liquids, water-miscible organics,
and salts, among others) into water with concentrations exceeding
the critical points.[1−4] Additionally, the rising three-liquid-phase system (TLPS) for extraction
and purification was usually formed by adding a hydrophobic phase
to ATPS. ATPS and its derivative TLPS attracted tremendous interest
to researchers for extraction, separation, purification, and enrichment
of proteins[5,6] and active components from herbs[7−10] in various scientific fields such as the food industry, biomedical
engineering, pharmaceutical engineering, wet metallurgy, and so on.
For example, ATPS were employed for fractionation of micro-algal biomolecules[7] and for extraction of geniposidic acid and aucubin
from Eucommia ulmoides Oliver[8] and chlorogenic acid and flavonoids from haskap
leaves (Lonicera caerulea).[9] TLPSs have been used for extraction and separation
of liquiritin and glycyrrhizic acid from licorice (Glycyrrhiza uralensis Fisch)[10] and for simultaneous extraction of hydrophilic lithospermic acid
B and lipophilic tanshinone IIA from Salvia Miltiorrhiza Bunge.[11] Compared to single-phase systems,
ATPS demonstrates various advantages such as integrability, scalability,
biocompatibility, selectivity, low interfacial tension, and continuous
operation possibility.[3]In extraction
from biomass, the organic-salt-based ATPS was popular
due to easy recycle of organics and salts, low viscosity, and easy
phase separation. For ATPS based on organics and salts, there are
a large number of possible combinations of phase-forming components
to create ATPS. For the extraction of a specific target component,
selection of ATPS components is generally carried out by an experimental
trial and error method. Exhaustive and systematic experiments are
required to guarantee the reliability and rationality of selection.
Until now, the theoretical method for selection has not been found.
With the wide application of ATPS extraction to more targets and more
fields, it is necessary to replace some tedious and onerous experimental
work with theoretical calculations, which is environment-friendly,
time-saving, and cost-saving. In this paper, taking paeonol extraction
as an example, we intended to explore the feasibility of the theoretical
method for selection of ATPS. The theoretical results by calculation
were evaluated with experiments, and the potential use for screening
of ATPS in the extraction of small biomolecules was discussed.Paeonol with anti-bacterial and anti-tumor activities is a main
active component in cortex moutan,
which is the dry root bark of ranunculaceae peony. Effective extraction
of paeonol from cortex moutan attracted
attention due to its use as an active ingredient in paeonol ointment
in China. In our previous work, the ATPS extraction of paeonol demonstrated
advantages of high yield and high purity compared to single-phase
extraction (70% ethanol).[12] However, large
amounts of experiments were required to screen the organic solvent
type and fraction and salt concentration. It is interesting to develop
a green and sustainable theoretical calculation method to largely
reduce the workload.In extraction from herbs with ATPS, the
mixture contains three
phases, including two liquid phases and one solid phase (herb phase).
At equilibrium, paeonol was mainly concentrated in the organic solvent-rich
phase (top phase), but rarely distributed in the salt-rich phase (bottom
phase), because paeonol was lipophilic with lgP (PBS,
pH 2, and P is the oil–water partition coefficient)
2.99.[13] Therefore, the extraction process
could be roughly regarded as migration of paeonol from the herb phase
to the top phase, and the organic-rich phase was determinant in the
extraction process and equilibrium. The Gibbs free energy change (ΔE) for the extraction process can be expressed as eq .where Etop and Eherb represent the paeonol single-point energy
in the top phase and in the herb phase, respectively. In all extraction
cases, Eherb could be regarded as a constant,
while in the top phase of different ATPS, Etop showed a difference. If Etop is low,
the migration process is more spontaneous, and the partition coefficient
between the top phase and the herb phase tends to increase, that is,
the extraction yield tends to increase. Therefore, by comparing Etop, the ATPS with a low Etop energy was sorted out. For a convenient expression, the
solvation free energy (Esolv) expressed
in eq was employed
to compare the paeonol Etop values for
each top phase of ATPS.where Egas is
the single-point energy of paeonol at the gas state at 298 K. Generally, Etop is lower than Egas, and so low Etop indicates high Esolv. Etop and Egas could be calculated with Gaussian software.[14−16] The solvation model based on solute electron density (SMD) is one
of the improved self-consistent reaction-field continuum solvation
model in density function theory.[17] For
example, the SMD model demonstrated good performance in correlation
of solvation free energy with aqueous pKa values.[18] In conclusion, the extraction
yield had a relationship with solvation free energy. Therefore, the
experimental extraction yield as an indicator in the optimization
of ATPS compositions could be replaced with the theoretical solvation
free energy.The flowchart for the selection of solvent type,
solvent fraction,
and aqueous salt concentration in ATPS is illustrated in Figure .
Figure 1
Flowchart for the optimization
of solvent type, solvent fraction,
and aqueous salt concentration in paeonol extraction.
Flowchart for the optimization
of solvent type, solvent fraction,
and aqueous salt concentration in paeonol extraction.
Experimental Section
Reagents
Cortex moutan was purchased from Boren Pharmaceutical Co. Ltd. (Sichuan, China).
The paeonol standard was from Yuanye Co. Ltd. (Nanjing, China). Concentrated
hydrochloric acid, ethanol (EtOH), acetone, tetrahydrofuran (THF),
and ethyl acetate (EA) of analytical grade were purchased from Kelong
Chemical Co. Ltd. (Chengdu, China). NaOH was from Aladdin (Shanghai)
Co. Ltd. NaH2PO4·2H2O was bought
from Sinopharm Group Chemical Reagent Co. Ltd. Methanol of chromatographical
purity was from Shanghai Xingke Chemical Co. Ltd. Karl Fischer reagent
was from Tansoole Co. Ltd. (Shanghai). The deionized water was used
in the extraction and HPLC analysis.
Apparatus
The HPLC machine (LC4000) was from Jinpu
Instrumental Co. Ltd. (Shandong, China). An SHA-C thermostat water
bath oscillator for maintaining the temperature and oscillation in
extraction was obtained from Aohua Instrument Co. Ltd. (Changzhou,
China). The micro-moisture (WS-3) analyzer was from Zibo Zhenggong
Instrument Factory (Shandong, China). The Gaussian 09 software package
was used for the calculation. Linear regression was carried out with
Software Origin 8.5 for the analysis of correlation between the extraction
yield and the solvation free energy.
Methods
Determination of Compositions in the Top Phase for ATPS and
Calculation of Parameters for the Top-Phase Medium
ATPS were
formed by mixing an aqueous NaH2PO4 solution
(pH 3.00) and an organic solvent (acetone, EtOH, THF, EtOH + EA or
acetone + EA, or THF + EA) in a tube with a total volume of 25.00
mL. After keeping for 24.0 h at 25 °C, the top phase was separated
with the bottom phase. Then, the compositions of the top phase were
determined as follows. The mass of 2.00 mL top phase was recorded
with a balance, and then, the volatiles were evaporated under vacuum
to leave the solid of NaH2PO4·nH2O. In addition, after drying in an oven at 110 °C
for 3.0 h, the weight of NaH2PO4 was acquired
with a balance. The water content was determined by a micro-titration
method with the Karl Fischer reagent using a micro-moisture (WS-3)
analyzer. The organic solvent fraction was calculated by subtracting
the water mass and salt mass from total mass. Due to big polarity
difference between water and EA, there is even bigger polarity difference
between EA and the bottom phase of ATPS because the bottom phase contained
a salt of high concentration, which could salt-out “ethanol”
to the top phase. EA with a dielectric coefficient of 5.99 shows far
weaker polarity than ethanol with a dielectric coefficient of 24.85,
and so it was reasonably assumed that the EA partitioned in the top
phase, and its partition in the salt-rich phase was omitted. Then,
the EtOH mass was calculated by subtracting the EA mass from the total
organic solvent mass. The mass of each organic solvent (or an aqueous
NaH2PO4 solution) was divided by its density
to give the volume. Finally, volume fractions for organic solvent
or aqueous NaH2PO4 solution were calculated.For the calculation of single-point energy, five parameters including
static dielectric coefficient (εesp), dynamic dielectric
coefficient (εespinf), hydrogen bond acidity (α),
hydrogen bond basicity (β), and surface tension (γ) of
the top-phase medium were considered. Each parameter was calculated
with the model for a binary/ternary mixture using eq .[16,19,20]where y is value for any
of the parameters for the top phase mixture, b is
the parameter value for the aqueous NaH2PO4 solution, c is the parameter value for EtOH/acetone/THF and d is the parameter value of EA, and x1, x2, and x3 are the respective volume fractions of the aqueous NaH2PO4 solution, EtOH/acetone/THF, and EA in the top
phase. The parameters for pure solvents (b, c, and d) are listed in Table S1, and an example for the calculation of parameter
values is provided in the Supporting Information.In eq , parameter b for an aqueous salt solution could not be obtained from
the literature, and so, the parameters for water were employed. Each
parameter value y calculated with eq was not in line with the true value,
and so, Esolv was not the true value.
If the water content in the top phase was high, the salt content in
the top phase was high, and if water content in the top phase was
low, the salt content in the top phase was low. As is well known,
a high salt concentration would escalate the dielectric coefficient
in the top phase. High water content also escalates the dielectric
coefficient because the dielectric coefficient of water is far higher
than that of an organic solvent. In conclusion, both high salt content
and high water content escalate the dielectric coefficient. The dielectric
coefficient was a dominant parameter for single-point energy, signifying
that both factors of salt content and water content resulted in the
change of Esolv in the same trend. Therefore,
the relative rank of Esolv did not vary
even if the salt content was not considered in calculation. Based
on the rank, the optimal ATPS would be selected.
Procedure for Calculation of Single-Point Energy of Paeonol
The paeonol structure was drawn with GaussView 5.0. With the hybrid
functional B3LYP/6-31G* level,[21] its geometry
structure was optimized, and the frequency was calculated using Gaussian
09 software.[14] The optimized structure
is illustrated in Figure S1 in the Supporting
Information. On the premise that there was no imaginary frequency,
single-point energy for paeonol was calculated with the optimized
structure at the M052X/6-31G* level.[22] The
running language for the calculation of single-point energy is attached
in the Supporting Information.
General Procedure for the Extraction of Paeonol with ATPS
The method and conditions such as pH, extraction period, and temperature
were referred to our previous work.[12] The
particle size for cortex moutan sieved
through was less than 0.25 ± 0.058 mm. The total volume of ATPS
was kept as 25.00 mL. ATPS was formed by adding an aqueous NaH2PO4 solution (pH 3.00) and an organic solvent (acetone,
THF, EtOH, acetone + EA, THF + EA, or EtOH + EA) in a tube. Then, cortex moutan powder (0.500 ± 0.002 g) was added
for extraction. Unless otherwise stated, after keeping at 25 °C
for 12.0 h, the mixture was shaken at 37 °C for 8.0 h, the aqueous
NaH2PO4 solution concentration was 3.85 mol/L
and the total organic solvent fraction was 35.2%. After extraction,
the herb fiber residue was removed by filtration. The top phase and
the bottom phase were separated, and their volumes were recorded,
respectively. The respective paeonol concentrations in the top phases
were analyzed by HPLC with a method reported previously.[12]The paeonol yield (Y,
mg) was calculated using eq .where CT (mg/mL)
and VTe (mL) represent the paeonol concentration
in the top phase and the top-phase volume after extraction, respectively.
The partition coefficient (K) and the phase ratio
(β) were defined in eqs and 6.where CB, VT, and VB are the
paeonol concentration in the bottom phase, top-phase volume, and bottom-phase
volume prior to extraction, respectively.
Results and Discussion
Hypothesis and Design
The organic-rich phase was crucial
for the extraction process and extraction equilibrium, and paeonol
was mainly distributed in this phase. eq is correct on the condition that the partition of
paeonol in the bottom phase was too poor, and so paeonol solvation
free energy in the bottom phase was not concerned. It should be noted
that although the bottom phase was not determinant in the extraction
equilibrium, it was important for extraction by softening the herb
fiber and extracting out the hydrophilic compounds such as saccharides
and proteins, which possibly deterred the penetration of a weakly
polar solvent into the inner part of the herb particle. The paeonol Etop was the main factor for the paeonol yield.
The presence of salt greatly affected the εesp of
the top phase. Therefore, the calculated solvation free energy values
were not the true values. However, in the various top phases of ATPS,
the calculated Esolv values would be in
the same rank as that for the true Esolv values because both the true Esolv and
the calculated Esolv strongly dependent
on the compositions in the top phase. Therefore, by comparing the
rank of the calculated Esolv, ATPS components
could be selected. After extraction, oil and inorganic salts from
herbs were extracted and partitioned into ATPS, resulting in changes
of the compositions in ATPS, and accordingly parameters for the top
phase changed. This change was neglected in calculation.For
any parameter of a pure solvent (e.g., ε, ε, α, β, and γ), different research groups usually
reported different values. Esolv was slightly
different from each other accordingly if the parameters were from
different references. For all the pure solvents, ε and ε were
from the Gaussian software;[14] α and
β values were referred from the literature;[23] and the γ values were from the solvent handbook[24] to ensure the appropriate rank of the single-point
energy.
Selection of Organic Solvent Type for ATPS in Paeonol Extraction
In consideration of paeonol lipophilicity,[13] six types of ATPS including EtOH–NaH2PO4–H2O (ATPS-EtOH), EtOH-EA-NaH2PO4–H2O (ATPS-EtOH-EA), acetone-NaH2PO4–H2O (ATPS-acetone), acetone-EA-NaH2PO4–H2O (ATPS-acetone-EA), THF-NaH2PO4–H2O (ATPS-THF), and THF-EA-NaH2PO4–H2O (ATPS-THF-EA) were considered.
Moreover, the organic solvents with low boiling points, low toxicity,
and low viscosity are easily recycled and separated with paeonol by
vacuum evaporation without altering the paeonol structure. The results
are presented in Figure .
Figure 2
Esolv values and paeonol yields for
the six types of ATPS. The total organic solvent fraction was kept
as 35.2% for ATPS-EtOH, ATPS-EtOH-EA, ATPS-acetone, and ATPS-acetone-EA
and as 30.4% for ATPS-THF and ATPS-THF-EA; aqueous NaH2PO4 concentration was 3.85 mol/L for ATPS-acetone and
ATPS-acetone-EA, ATPS-THF, and ATPS-THF-EA and was 4.50 mol/L for
ATPS-EtOH and ATPS-EtOH-EA; and EA fraction was 24.6, 24.6, and 10.6%
in ATPS-EtOH-EA, ATPS-acetone-EA, and ATPS-THF-EA, respectively.
Esolv values and paeonol yields for
the six types of ATPS. The total organic solvent fraction was kept
as 35.2% for ATPS-EtOH, ATPS-EtOH-EA, ATPS-acetone, and ATPS-acetone-EA
and as 30.4% for ATPS-THF and ATPS-THF-EA; aqueous NaH2PO4 concentration was 3.85 mol/L for ATPS-acetone and
ATPS-acetone-EA, ATPS-THF, and ATPS-THF-EA and was 4.50 mol/L for
ATPS-EtOH and ATPS-EtOH-EA; and EA fraction was 24.6, 24.6, and 10.6%
in ATPS-EtOH-EA, ATPS-acetone-EA, and ATPS-THF-EA, respectively.From Figure , it
is clear that the paeonol Esolv values
with ATPS were in the order ATPS-EtOH < ATPS-EtOH-EA < ATPS-acetone
< ATPS-THF < ATPS-acetone-EA < ATPS-THF-EA. The Esolv values for ATPS-EtOH and ATPS-EtOH-EA were far lower
than the other Esolv values of four ATPS.The experimental yields with the above six ATPS were in the order
ATPS-EtOH < ATPS-acetone < ATPS-THF < ATPS-EtOH-EA < ATPS-acetone-EA
≈ ATPS-THF-EA. Except for ATPS-EtOH-EA, with the other five
ATPS, the paeonol Esolv was in the same
order as the experimental yield. Possibly, it was resulted from other
minor factors in extraction, and they will be discussed in the following
section.
Selection of Optimal Organic Solvent Fraction in ATPS-Acetone
and ATPS-THF for Extraction
The compositions, parameter values,
and Esolv for ATPS-acetone and ATPS-THF
with various organic fractions are listed in Table S2. The Esolv and paeonol yield
as a function of organic solvent fraction in ATPS are presented in Figure . The organic solvent
fraction in the range 25.6–40.0% was employed due to the following
reasons. If the organic fraction was too low, the volume of the top
phase was too small, and the top-phase loss would be relatively high
during the processes such as filtration and transfer, resulting in
high target loss or poor yield. If the fraction of organic solvent
is too high, some of the target molecules distributed in the bottom
phase, resulting in poor yield. Moreover, the organic solvent is generally
expensive, and so high fraction of organic solvent is generally avoided.
Figure 3
Paeonol
yield and solvation free energy as a function of organic
fraction for (a) ATPS-acetone and (b) ATPS-THF. The aqueous Na2H2PO4 concentration was 3.85 mol/L.
Paeonol
yield and solvation free energy as a function of organic
fraction for (a) ATPS-acetone and (b) ATPS-THF. The aqueous Na2H2PO4 concentration was 3.85 mol/L.As shown in Figure a, in paeonol extraction with ATPS-acetone, both Esolv and paeonol yield ascended as the acetone
fraction
increased from 25.6 to 35.2%, but when the acetone fraction was above
35.2%, both paeonol Esolv and paeonol
yield declined. It suggested that the two curves for the paeonol yield
and the Esolv as a function of the acetone
fraction demonstrated a similar trend. Both Esolv and yield attained a peak value at an acetone fraction
of 35.2%.With the increase of the acetone fraction from 25.6
to 35.2%, in
the top phase, the organic solvent fraction increased and the water
fraction decreased, and accordingly, εeps and α
decreased, while β increased. The decrease of the εeps suggested the enhancement of hydrophobicity interaction
between paeonol and the top-phase medium. There are two types of hydrogen
bond interactions between paeonol and the top-phase medium. A type-1
hydrogen bond is formed between the hydrogen of the top-phase medium
(from water or ethanol) and the oxygen in paeonol, and a type-2 hydrogen
bond is formed between the oxygen of the top-phase medium and the
hydrogen of the hydroxyl group in paeonol. As the acetone fraction
increases, the decrease of α in the top-phase medium indicated
weakening of the type-1 hydrogen bond interaction, and the increase
of β indicated the enhancement of the type-2 hydrogen bond interaction.
The overall effect rendered Esolv increase
as the acetone fraction increases from 25.6 to 35.2%. However, with
the increase of acetone fraction from 35.2 to 37.6%, the phase ratio
increased from 0.900 to 1.00, the acetone fraction in the top-phase
decreased slightly from 61.31 to 61.02%, and accordingly, the Esolv value slightly decreased. When the acetone
fraction increases from 37.6 to 40.0%, the phase ratio increased from
1.00 to 1.14, the organic solvent fraction in the top phase changed
inappreciably, and so the Esolv value
did not alter significantly.From Figure a,
it can be concluded that the plot of Esolv as a function of acetone fraction demonstrated a similar trend to
the plot of the experimental yield, and Esolv values successfully predict the optimal acetone fraction. It suggested
that for ATPS-acetone, the theoretical paeonol Esolv rank could work in selecting the optimal acetone fraction
in paeonol extraction.Figure b shows
the plots of Esolv and paeonol yield against
THF fraction in ATPS-THF. With the increase of THF fraction in ATPS
from 25.6 to 28.0%, the THF fraction in the top phase ascended slightly
from 61.9 to 62.1%, εeps declined, and thus Esolv increased slightly. However, Esolv declined slightly with the increase of the THF fraction
from 28.0 to 30.4% due to the decrease of THF content to 62.0%. With
the THF fraction over 30.4%, Esolv did
not change due to the consistency of compositions. By comparing the
rank of the Esolv, the optimal THF fraction
was 28.0%. However, Figure b shows that the yield achieved a peak value with a THF fraction
of 30.4%. A slightly higher experimental yield with a THF fraction
of 30.4% than that of 28.0% was possibly the result of a higher phase
ratio (0.45 against 0.38) and a higher partition coefficient (44.0
against 38.5).In conclusion, for ATPS-acetone and ATPS-THF,
the theoretical Esolv could be employed
for the selection of
solvent fraction.
Selection of Aqueous NaH2PO4 Concentration
for ATPS in Paeonol Extraction
The salt concentration affected
the compositions of the top phase and thus affected the extraction
yield. The salt effect on paeonol Esolv was greatly concerned.The top-phase compositions, parameters,
and Esolv for ATPS-acetone and ATPS-THF
with various aqueous NaH2PO4 concentrations
are listed in Table S3. Esolv and the experimental yield against the aqueous NaH2PO4 concentration for ATPS-acetone and ATPS-THF
are presented in Figure a,b, respectively.
Figure 4
Paeonol yield and solvation free energy as a function
of aqueous
NaH2PO4 concentration for ATPS: (a) acetone-NaH2PO4–H2O and (b) THF-NaH2PO4–H2O. The volume fractions for acetone
and THF were 35.2 and 30.4%, respectively.
Paeonol yield and solvation free energy as a function
of aqueous
NaH2PO4 concentration for ATPS: (a) acetone-NaH2PO4–H2O and (b) THF-NaH2PO4–H2O. The volume fractions for acetone
and THF were 35.2 and 30.4%, respectively.From Table S3, it is
clear that as the
aqueous NaH2PO4 concentration increases to 3.85
mol/L, the acetone fraction increased, but the water content decreased
in the top phase, and so εeps, α, and γ
decreased, but β increased. It indicated that the hydrophobicity
interaction between paeonol and the top-phase medium enhanced, and
the hydrogen bond interaction of type-1 decreased, but the hydrogen
bond interaction of type-2 increased. As a result, both Esolv and the experimental yield were improved with the
increase of the salt concentration. When the aqueous NaH2PO4 concentration was below 2.35 mol/L, both the curves
in Figure a demonstrated
a sharp slope; while the salt concentration was from 2.35 to 3.85
mol/L, the slope became even. However, with the increase of the aqueous
NaH2PO4 concentration from 3.85 to 4.50 mol/L,
the phase ratio decreased from 1.14 to 0.910, and in the top phase,
the acetone content decreased from 61.55 to 61.35%. Accordingly, both
the yield and Esolv descended slightly.
In conclusion, the curve for Esolv demonstrated
a similar trend to that for the experimental yield. Both the curves
for yield and Esolv indicated that the
optimal aqueous NaH2PO4 concentration was 3.85
mol/L. A good coincidence for the two curve trends in Figure a suggested that the theoretical Esolv was a reliable parameter in salt concentration
optimization.For ATPS-THF in Table S3, as the aqueous
NaH2PO4 concentration increases to 3.21 mol/L,
in the top phase, the THF fraction increased, but the water content
decreased, resulting in a decrease of εeps, α,
and γ but an increase of β. Like the case in ATPS-acetone,
both Esolv and the yield were improved
with the increase of the salt concentration to 3.21 mol/L.Figure b shows
that, although the curve trend for Esolv did not demonstrate a perfect coincidence with that for the paeonol
yield, the change was insignificant with the increase of the salt
concentration from 3.21 to 3.85 mol/L. From the above discussion,
it showed that the theoretical Esolv could
work for selecting an optimal salt concentration.By the aforementioned
discussion, low εeps generally
demonstrated high Esolv. Therefore, we
inferred that addition of ethyl acetate with lower εeps would improve Esolv and the extraction
yield. It was interesting to clarify if the optimal fraction of EA
could be chosen by using Esolv as an indicator.
Ethyl Acetate Fraction in ATPS-EA for Paeonol Extraction
The compositions, parameter values, and Esolv for ATPS-acetone-EA and ATPS-THF-EA with different EA fractions
are presented in Table S4. The paeonol Esolv and experimental yield for ATPS-acetone-EA
and ATPS-THF-EA as a function of EA fraction are presented in Figure a,b, respectively.
Figure 5
Esolv and paeonol yield against the
EA volume fraction in paeonol extraction with (a) ATPS-acetone-EA
and (b) ATPS-THF-EA. For ATPS-acetone-EA and ATPS-THF-EA, the total
organic fractions were set as 35.2 and 30.4%, respectively.
Esolv and paeonol yield against the
EA volume fraction in paeonol extraction with (a) ATPS-acetone-EA
and (b) ATPS-THF-EA. For ATPS-acetone-EA and ATPS-THF-EA, the total
organic fractions were set as 35.2 and 30.4%, respectively.For ATPS-acetone-EA in Table S4, as
the EA fraction increases from 0 to 24.6%, εeps and
α decreased, suggesting that the hydrophobicity interaction
between “paeonol and top phase medium” strengthened,
but the decrease of α indicated that the hydrogen bond interaction
of type-1 weakened. The hydrogen bond basicity decreased with the
EA fraction from 0 to 10.6% and from 14.1 to 28.2% but increased slightly
with the EA fraction from 10.6 to 14.1%. As shown in Figure a, the decrease of εeps rendered Esolv escalate sharply
with the increase of the EA fraction from 0 to 14.1%, and Esolv improved in a small step until the EA fraction
attained 24.6%. When the EA fraction was from 24.6 to 28.2%, Esolv increased insignificantly. Esolv suggested that the optimal EA fraction was 24.6%
or 28.2%.As shown in Figure a, the experimental yield improved as the EA fraction
increases to
24.6%. When the EA fraction was over 24.6%, the paeonol yield declined
appreciably. During the experiments, we observed that with an EA fraction
of 28.2%, a small amount of solvent was soaked into herb, suggesting a poor penetration of the top-phase
medium into the herb. Therefore, the paeonol dissolution rate became
slow, and possibly, the extraction did not attain equilibrium at 8
h. Poor penetration of the top-phase medium with too high EA fraction
could be shadowed by the declines of α and β values in Table S4. The herb fiber mainly contains saccharides,
amino acids, and proteins having hydroxyl groups and amide groups,
which can form a hydrogen bond with a liquid medium of good α
and β values. The interactions “between herb fiber and
solvent” really affected the experimental yield, but they did
not influence Esolv. The experimental
yield demonstrated that the optimal EA fraction was 24.6%. It suggested
that Esolv as an indicator could really
reduce the experimental workload.In Table S4 for ATPS-THF-EA, as the
EA fraction increases to 9.12%, εeps decreased, suggesting
that the hydrophobicity interaction between paeonol and the top-phase
medium strengthened, and both the α and β values decreased,
suggesting that both types of hydrogen bond interactions weakened.
However, as the EA fraction increases from 9.12 to 24.3%, Esolv increased slightly.Figure b shows
that for ATPS-THF-EA, the experimental yield ascended as the EA fraction
increases to 9.12% but descended very slightly when the EA fraction
increased from 9.12 to 24.3%. Like the case for ATPS-acetone-EA, when
the EA fraction was over 9.12%, a decrease of β and εesp possibly retarded the penetration of the top-phase medium
into the herb phase and also weakened the hydrogen bond interactions
between paeonol and the top-phase medium. Although the best EA fraction
with ATPS-THF-EA was not predicted by Esolv accurately, in Figure b, both Esolv and the experimental yield
altered in a very small range when the EA fraction was over 9.12%,
and Esolv could roughly point out the
turning point of EA fraction and could narrow the experimental range
for EA fraction.In conclusion, Esolv demonstrated good
performance to select the organic solvent fractions in ATPS-acetone,
ATPS-THF, ATPS-acetone-EA, and ATPS-THF-EA and the aqueous NaH2PO4 concentration in ATPS-acetone and ATPS-THF.
To see whether or not the theoretical Esolv could be used for the selection of optimal organic solvent fraction
and aqueous salt concentration in other ATPS, Esolv and the experimental yield with ATPS-EtOH and ATPS-EtOH-EA
were investigated.
Solvation Free Energy and Paeonol Yield in Extraction with ATPS-EtOH
and ATPS-EtOH-EA
For ATPS-EtOH and ATPS-EtOH-EA, the experimental
yield and Esolv against EtOH fraction,
EA fraction, and aqueous NaH2PO4 concentration
are presented in Figure a–c, respectively.
Figure 6
Solvation free energy and paeonol yield for
ATPS-EtOH and ATPS-EtOH-EA
against (a) ethanol fraction; (b) EA fraction; and (c) aqueous NaH2PO4 concentration. The total organic fraction was
set as 35.2% for ATPS-EtOH-EA.
Solvation free energy and paeonol yield for
ATPS-EtOH and ATPS-EtOH-EA
against (a) ethanol fraction; (b) EA fraction; and (c) aqueous NaH2PO4 concentration. The total organic fraction was
set as 35.2% for ATPS-EtOH-EA.
Selection of Optimal Ethanol Fraction in ATPS-EtOH
The compositions, parameter values, and Esolv for ATPS-EtOH with various ethanol fractions are presented in Table S5. As the ethanol fraction increases from
25.6 to 35.2%, the ethanol content in the top phase increased, resulting
in a decrease of εesp, α, and γ but an
increase of β. It suggested that the hydrophobicity interaction
between paeonol and the top-phase medium enhanced; the hydrogen bond
interaction of type-1 decreased, but the hydrogen bond interaction
of type-2 strengthened. In total, Esolv increased. However, when the ethanol fraction was from 35.2 to 40.0%,
as the phase ratio increased sharply from 1.14 to 1.86, the ethanol
content did not increase any more. εesp, α,
and β changed insignificantly. Therefore, Esolv did not change obviously. From Figure a, it can be observed that as the ethanol
fraction increases from 25.6 to 35.2%, both Esolv and the experimental yield increased. With the ethanol
fraction above 35.2%, Esolv altered insignificantly,
but the paeonol yield decreased slightly, possibly because of the
decrease of partition coefficient, resulting in loss of paeonol in
the bottom phase in experiments. Both curves demonstrated that the
optimal ethanol volume fraction was 35.2%, suggesting that the theoretical
calculation method was feasible to choose an optimal ethanol fraction.
Selection of Optimal EA Fraction in ATPS-EtOH-EA
For
ATPS-EtOH-EA with different EA fractions, the compositions, parameters,
and Esolv are presented in Table S6. As shown in Table S6, addition of EA in ATPS rendered the top phase to contain
more fraction of organics but lower fraction of water. Together with
the low εesp of EA, ε decreased markedly, indicating that the hydrophobicity interaction
between paeonol and the top-phase medium enforced, and α and
β decreased, suggesting that the hydrogen bond interactions
of both type-1 and type-2 weakened. In total, Esolv increased as the EA fraction increases.Figure b shows that the
experimental yield escalated as the EA fraction increases until the
fraction attained 24.6%. When the EA fraction was over 24.6%, the
yield decreased. Presumably, with an EA fraction of 28.2%, the hydrogen
bond interactions between the top-phase medium and the herb fiber
descended, resulting in a poor solvent penetration into the herb.
Moreover, high hydrophobicity of the top-phase medium also prevented
the penetration of solvents into the herb fiber. Also, with the increase
of the EA fraction to 28.2%, the phase ratio decreased to 0.6, and
a small volume of the top phase resulted in a relatively high paeonol
loss during filtration and transfer processes. In spite of the imperfect
prediction of the optimal EA fraction, Esolv could offer guidance for optimization experiments.
Selection of Optimal Aqueous NaH2PO4 Concentration
in ATPS-EtOH
For ATPS-EtOH with different aqueous NaH2PO4 concentrations, the compositions, parameters,
and Esolv are presented in Table S7. With the increase of the aqueous NaH2PO4 concentration, the “salting out”
effect enforced, and therefore, in the top phase, the ethanol content
increased, resulting in a decrease of εesp and α
but an increase of β. It suggested that the hydrophobicity interaction
between paeonol and the top-phase medium enhanced, the type-1 hydrogen
bond interaction decreased, but the hydrogen bond interaction of type-2
increased. In total, Esolv increased as
the aqueous NaH2PO4 concentration increases
to 3.85 mol/L, as shown in Figure c. With an aqueous NaH2PO4 concentration
of 4.50 mol/L, the salt precipitated from ATPS during standing at
25 °C, and the true concentration in ATPS was below 4.50 mol/L.
Therefore, in Table S7, it is shown that
the EtOH content decreased but the water content in the top phase
increased, resulting in an increase of εeps. Accordingly, Esolv declined. However, the extraction experiments
were carried out at 37 °C, the salt did not precipitate from
ATPS at a NaH2PO4 concentration of 4.50 mol/L,
and so the yield was higher than that with a salt concentration of
3.85 mol/L. Moreover, with high salt concentration, the partition
coefficient improved, and the experimental yield improved slightly.
It was clear that Esolv and the yield
increased sharply with the increase of the aqueous NaH2PO4 concentration from 2.35 to 2.93 mol/L; and both Esolv and the yield increased insignificantly
from 2.93 to 3.85 mol/L, that is, both curves in Figure c exhibited a similar trend.
The inconsistency of the two curves with the concentration range of
3.85–4.50 mol/L possibly resulted from the salt precipitation
in ATPS for the determination of top-phase compositions.
Analysis of Correlation between Solvation Free Energy and Experimental
Yield
For ATPS-EtOH, ATPS-EtOH-EA, ATPS-acetone, ATPS-acetone-EA,
ATPS-THF, and ATPS-THF-EA systems, the paeonol free energy Esolv demonstrated a correlation with paeonol
yield. Therefore, we intended to establish a mathematical model to
describe the correlation. With each series of 18 ATPS, the experimental
yield was plotted against Esolv to give Figure a–c for a
group of ATPS-EtOH plus ATPS-EtOH-EA, a group of ATPS-acetone plus
ATPS-acetone-EA, and a group of ATPS-THF plus ATPS-THF-EA, respectively.
Figure 7
Analysis
of linear correlation between Esolv and
the paeonol yield for (a) ATPS-EtOH and ATPS-EtOH-EA [Y = 0.175 Esolv +7.94 (R2 = 0.8555, n = 18)]; (b) ATPS-acetone
and ATPS-acetone-EA [Y = 0.641 Esolv −17.4 (R2 = 0.7027, n = 18)]; and (c) ATPS-THF and ATPS-THF-EA [Y = 2.93 Esolv −132.3 (R2 = 0.7816, n = 18)].
Analysis
of linear correlation between Esolv and
the paeonol yield for (a) ATPS-EtOH and ATPS-EtOH-EA [Y = 0.175 Esolv +7.94 (R2 = 0.8555, n = 18)]; (b) ATPS-acetone
and ATPS-acetone-EA [Y = 0.641 Esolv −17.4 (R2 = 0.7027, n = 18)]; and (c) ATPS-THF and ATPS-THF-EA [Y = 2.93 Esolv −132.3 (R2 = 0.7816, n = 18)].For each series of ATPS, the correlation coefficients
suggested
that the experimental yield had a relationship with Esolv. However, with all the 54 ATPS, the paeonol yield
had a poor linear relationship with Esolv. The poor correlation coefficient could be seen by the inconsistent
intercepts and slope of the curves shown in Figure . The possible reasons for the above problem
were due to some factors resulting in inconsistency of the theoretical
calculation and experimental yield. Esolv is a dominant factor but not a sole factor for the experimental
yield. The extraction process includes multisteps of extraction, filtration,
transfer, and determination of sample, and experimental yield was
affected by lots of other factors. (1) Only the interaction between
paeonol and the top-phase medium was considered in theoretical calculations,
but in experiments, there were other factors. In many cases, the penetration
ability of the solvent medium might not affect the extraction, but
in some cases, the top phase solvent with very low εeps, low hydrogen bond acidity, and low hydrogen bond basicity demonstrated
poor penetration ability. This can be seen in the extraction with
ATPS containing EA. (2) The phase ratio was also a factor on the experimental
yield. Although Esovl with the unit kJ/mol
had no relation with phase ratio, during the experiments, the low
phase ratio indicated a small volume of the top phase, resulting in
a relatively high paeonol loss in the filtration and transfer processes.
(3) For ATPS with a relatively high Esolv, paeonol might be extracted completely, but for other ATPS with
even higher Esolv than a critical value,
paeonol could not be improved further. For example, the yields for
ATPS-acetone-EA and ATPS-THF-EA at optimal conditions showed a similar
level, although their Esolv showed a significant
difference. (4) The parameters for single-point energy calculation
were obtained using linear approximation according to the compositions
of the top phase and the parameters of a pure solvent rather than
by direct determination. The parameter approximation possibly gave
rise to the error for the Esolv rank in
some cases. (5) In the calculation of theoretical Esolv, the temperature is set as 25 °C by Gaussian
software and could not be set manually, but the experimental temperature
was set as 37 °C to achieve quick extraction and good partition
coefficient. Due to the above reasons, the correlation coefficient
for each group of ATPS extraction was not so good compared to those
for the linear correlation between the calculated and experimental pKa values for thiols[25] or for the linear correlation between the calculated and experimental
values for solvation free energies of 40 compounds in methanol.[20]Although with all the ATPS the experimental
yield demonstrated
a poor linear relationship with the theoretical Esolv, with each series of ATPS, the linearity was reasonably
good. Therefore, the paeonol yield could not be accurately predicted
with Esolv, but the Esolv rank could be employed as a tool for the selection
of optimal organic solvent type, solvent fraction, and aqueous salt
concentration in ATPS.
Conclusions
Based on the hypothesis that paeonol was
extracted from the herb
phase to the liquid phase mainly by the route of top phase, the top-phase
properties were dominant factors for extraction. The solvation free
energy of paeonol in the top phase of 54 ATPS, which were classified
into 3 groups, was calculated by Gaussian. It is feasible to use the Esolv rank for selecting the optimal organic
solvent type and fraction and the aqueous salt concentration in ATPS
extraction of paeonol. With each group of ATPS (18 × 3), the
paeonol yield was correlated with the solvation free energy. Generally,
high Esolv of paeonol in the top phase
offered a good yield. For ATPS extraction of active components from
the herb, by theoretical optimization with Esolv, at least optimization experiments could be confined to
a small range to save carbon fingerprint and cost. However, with all
the 54 ATPS, the paeonol yield showed a poor linear correlation with
solvation free energy due to the factors discussed in the above section.
Hence, in future, the mathematical model will be calibrated to improve
the prediction ability by consideration of the other minor factors.
Authors: Raphael F Ribeiro; Aleksandr V Marenich; Christopher J Cramer; Donald G Truhlar Journal: J Comput Aided Mol Des Date: 2010-04-01 Impact factor: 3.686
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