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Article

Entropy-Based Solubility Parameter-Translated Peng–Robinson Equation of State (eSPT-PR EoS)

1
Graduate School of Engineering, Tohoku University, Aramaki Aza Aoba, 6-6-11-403, Aoba-ku, Sendai 980-8579, Japan
2
Graduate School of Environmental Studies, Tohoku University, Aramaki Aza Aoba, 468-1, Aoba-ku, Sendai 980-8572, Japan
3
Department of Advanced Materials Science and Technology, Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-no-cho, Nishi-ku, Niigata 950-2181, Japan
4
New Industry Creation Hatchery Center, Tohoku University, 6-6-11-403, Aoba, Aramaki, Aoba-ku, Sendai 980-8579, Japan
*
Author to whom correspondence should be addressed.
Liquids 2025, 5(3), 21; https://doi.org/10.3390/liquids5030021
Submission received: 20 June 2025 / Revised: 18 August 2025 / Accepted: 21 August 2025 / Published: 25 August 2025
(This article belongs to the Special Issue Energy Transfer in Liquids)

Abstract

Peng–Robinson equation of state (PR EoS) has good prediction accuracy for phase diagrams of pure substances or mixtures, but liquid density, especially for high polar substances, is known to be ~20% lower value compared with experimental data at standard atmospheric temperature and pressure (SATP) conditions. To overcome this issue, translation via entropy-based solubility parameter (eSP) Peng–Robinson EoS (eSPT-PR EoS) is proposed in this work. The technique uses eSP for the liquid phase at SATP conditions and correlates the ideal value and a constant C for each substance as a correction. As a result, the C value can be linearly correlated with critical compressibility factor (ZC). Finally, the liquid density was improved and gave an average relative deviation (ARD) value of 4.2% for the generally used 27 chemicals selected at SATP condition. Furthermore, critical density was also improved and gave ARD values of 3.9% compared with the original PR EoS of 21.8%. Thus, a universal calculation method based on PR EoS was developed for improving liquid density representation with the eSPT-PR EoS.

1. Introduction

Peng–Robinson equation of state (PR EoS) [1] is widely used by scientists and engineers to predict high-pressure phase diagrams for manufacturing products. Not only pure substances, but also multiple mixtures are studied in the prediction of phase diagrams. The utility of PR EoS for petroleum industries [2,3] is very wide and is commonly applied to simulation of both super- and sub-critical processes in the manufacture of chemical products [4,5,6,7,8].
However, the PR EoS has low prediction ability for liquid density, especially for high polar substances like ethanol, methanol and water. Therefore, volume-translated PR EoS (VT-PR EoS) has been previously proposed by researchers [9,10,11,12] to improve volumetric representation. The VT-PR EoS method has become well established, but always needs experimental density data and a fixed reference condition, which is disadvantageous at times, because experimental density data may be limited or may require estimation when conditions of the simulation are very different from those where density data are available. Therefore, a different type of translation technique is needed to predict phase diagrams reliably, keeping the future development of chemical products in mind.
Hildebrand Solubility Parameter (SP) is widely used for processing extraction and separation systems that involve chemical-dominated phenomena. Entropy-based solubility parameter (eSP) [13,14], which is linearly correlated to the Hildebrand SP [15] at the standard temperature and pressure (SATP) condition, is used not only for vapor–liquid multiple phases but also for a single phase like supercritical fluids for both pure substances and mixtures. From this point of view, eSP has been used for extraction and separation processing of high-pressure systems like subcritical fluid separation (SFS) or supercritical fluid extractions (SFE). In preliminary research, calculated eSP values with the original PR EoS for liquid density at SATP condition deviated from the theoretical values. Therefore, in this study, it was decided to consider a correction to PR EoS as a translation. For adding this eSP correction to PR EoS, a database of chemicals was used as a basis, as described in detail later. These solvents are usually seen in chemistry, for example, in the processing of organic–inorganic hybrid nano particles [16] for dispersion, coating and catalyst preparation.
The added eSP translation correction to the PR EoS is denoted as eSPT-PR EoS. In the eSPT-PR EoS, a newly added constant C is proposed, and the resulting C value is generalized with fundamental properties of chemical species.

2. Materials and Methods

Table 1 shows the fundamental properties for the 27 selected substances that are generally used in chemistry. Critical properties and acentric factors are listed. The Hildebrand solubility parameter (SP) is generally evaluated at ambient conditions [15] and is defined for organic compounds by Equation (1):
H i l d e b r a n d   S P S P V P U v L i q u i d = v p H P v G a s v L i q u i d v L i q u i d
In Equation (1), V P U is the cohesive energy and v L i q u i d is the molar volume of the liquid. Usually, the Hildebrand SP is calculated at a SATP condition (298.2 K and 101.3 kPa), where v a p H is the enthalpy of vaporization and v G a s is the molar volume of gas.
The eSP [13,14] defined in Equation (2) is more widely used not only for multiple phases such as vapor and liquid phases, but also for homogeneous supercritical fluid phases. The eSP is defined as
e SP     ( P / T ) v = ( s / v ) T
In Equation (2), s is the molar entropy, and a Maxwell relationship is used to determine its volumetric dependence. The relationship between SP and eSP is estimated with the following thermodynamic relationships:
u L v L T S P 2 = T P T v P = T   e S P I d e a l 2 P
where eSPIdeal is the theoretical eSP, which was plotted as a function of Hildebrand SP, as shown in Figure 1 for 124 substances from ref. [17] at SATP conditions (298.2 K and 101.3 kPa). In Figure 1, the results calculated with the original PR EoS were added, which shows a large deviation from the theoretical line. The slope of theoretical line was 1.17 (= 57.9/49.5) times larger than the slope of the original PR EoS. Therefore, it is clear that a correction in form of eSP can be added to improve liquid density representation compared with the original PR EoS.
For the liquid density corrections with eSPT-PR EoS, the original PR EoS in Equation (4):
P = R T v b a c   α ( T ) v v + b + b v b
was modified as given by Equation (5):
P = R T v b C T β f ( v ) a c   α T v v + b + b v b
A constant C was newly introduced into the eSPT-PR EoS, even though the original PR EoS has only two constants. In the eSPT-PR EoS model, Equation (5), f (v) = vb and β = 1 were adopted.
For EoS parameters ac and b in Equation (5), the constant C was also introduced as follows:
a c = a 0 R 2 1 C / R 2 T C 2 P C
b = b 0 R 1 C / R   T C P C
The α T function of original PR EoS was adopted and is described by Equation (8):
α T = 1 + K C 1 + K C 2 ω + K C 3 ω 2 1 T r 0.5 2
In Equation (8), Tr is a reduced temperature (= T/TC). For eSPT-PR EoS, pure parameters a 0 in Equation (6), b 0 in Equation (7) and K C 1 , K C 2 , K C 3 in Equation (8) were redetermined by fitting to experimental data for the compounds in the database.
The objective function for data fitting was chosen to be dimensionless as follows:
O . F . = [ w 1 ρ L , C a l c S A T P ρ L , E x p S A T P ρ L , E x p S A T P 2 + w 2 ρ C , C a l c ρ C , E x p ρ C , E x p 2 + w 3 e S P L , C a l c S A T P e S P L , I d e a l S A T P e S P L , I d e a l S A T P 2 ]
In Equation (9), arbitrary weights were used to adjust each term to have the same order of magnitude. Average Relative Deviation (ARD) was defined as follows:
A R D ρ L S A T P   [ % ] = 100 n i = 1 n ρ L , C a l c S A T P ρ L , E x p S A T P ρ L , E x p S A T P
A R D ρ c   [ % ] = 100 n i = 1 n ρ c , C a l c ρ c , E x p ρ c , E x p

3. Results

The five pure-component parameters ( a 0 in Equation (6), b 0 in Equation (7) and K C 1 , K C 2 , K C 3 in Equation (8)) and each constant C in Equation (5), which is substance-dependent due to the 27 selected chemicals, were determined using the objective function in Equation (9) by a least-squares method. Namely, a total of 32 (=5 + 27) parameters were simultaneously determined by data fitting. The resulting parameters are listed in Table 2 and detailed results are given in Table 3.

4. Discussion

At first, the resulting constant C was plotted against many fundamental properties including compressibility factor ZC. As a result, it was found that the constant C was proportional to the value of ZC as follows:
C = D   Z C   +   E
In Equation (12), D = −28.537 and E = 8.2377 (R2 = 0.9285). Then, the calculated data were refit to the experimental data to redetermine constant D and E in Equation (12), as well as five pure parameters ( a 0 in Equation (6), b 0 in Equation (7) and K C 1 , K C 2 , K C 3 in Equation (8)). According to this treatment, the number of fitting parameters was reduced from a total of 32 parameters to a total of 7 parameters, and universal constants were determined as D = −27.6704 and E = 8.73306 (R2 = 1.000).
In Table 4, the eSPT-PR EoS was compared with the original PR EoS and the VTPR-EoS. For calculation with the eSPT-PR EoS, the objective function was changed to Equation (13) to account for all terms. In Equation (13), the saturated pressure was added to the standard atmospheric temperature ( P E q S A T ) as follows:
O . F . = [ w 1 ρ L , C a l c S A T P ρ L , E x p S A T P ρ L , E x p S A T P 2 + w 2 ρ C , C a l c ρ C , E x p ρ C , E x p 2 + w 3 e S P L , C a l c S A T P e S P L , I d e a l S A T P e S P L , I d e a l S A T P 2 + w 4 P E q , C a l c S A T P E q , E x p S A T P E q , E x p S A T 2 ]
The arbitrarily weighted calculation method was also applied to Equation (13) because of the different magnitudes of the terms. The eSPT-PR EoS compared favorably with the original and volume-translated PR-EoS (Table 4). In Table 5, four pure substances (n-hexane, CO2, methanol and water) were predicted with the eSPT-PR EoS given by Equations (5) and (12) at several (T, P) conditions and compared with the pc-SAFT EoS [18]. For water, the pc-SAFT EoS was fit to an intermediate isotherm of NIST data (523.15 K) and then was applied to calculate densities at the other stated conditions. In the calculation of ARD [%], values from the NIST chemistry webbook [19] were used for reference as follows:
A R D ρ G   [ % ] = 100 n i = 1 n ρ G , C a l c ρ G , N I S T ρ G , N I S T
A R D ( ρ L )   [ % ] = 100 n i = 1 n ρ L , C a l c ρ L , N I S T ρ L , N I S T
ARDs of liquid densities of the eSPT-PR EoS (Table 5) were generally comparable with those of the pc-SAFT EoS for two non-polar substances (n-hexane, CO2) but were higher than those of the pc-SAFT EoS for two polar substances (methanol, water). Furthermore, ARDs of gas densities were much lower for the pc-SAFT EoS than the eSPT-PR EoS (Table 5). The pc-SAFT EoS is neither a cubic equation nor any fixed-degree polynomial, but includes statistical mechanic integral terms that capture the trend of liquid and vapor densities in the critical region better than cubic EoS. All cubic EoSs have a cubic critical isotherm and a quadratic coexistence curve as conditions [20], unlike that of the pc-SAFT EoS. Nevertheless, generalized form of the eSPT-PR EoS improves liquid density representation compared with the PR-EoS (Table 4) and provides comparable representation of liquid densities calculated with the pc-SAFT EoS.

5. Conclusions

A translation type of correction (eSP) was added to the PR EoS. The resulting eSPT-PR EoS showed good prediction ability for both liquid molar volumes and critical molar volumes. In the eSPT-PR EoS, the newly added constant C could be well correlated with compressibility factor ZC and thus, a predictive form was produced based on the original PR EoS.
For the use of predictive eSPT-PR EoS, if experimental density data are available, the data can be used for data-fitting to redetermine the more accurate C value. If data are unavailable, then the generalized values of D and E given in this work can be used to estimate C.

Author Contributions

Conceptualization, M.O. and R.L.S.J.; methodology, H.I.; software, M.O.; validation, N.Y. and H.K.; formal analysis, M.O.; investigation, N.Y.; resources, M.O.; data curation, R.L.S.J.; writing—original draft preparation, M.O.; writing—review and editing, R.L.S.J.; visualization, M.O. and R.L.S.J.; supervision, H.I.; project administration, H.I.; funding acquisition, M.O. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by Process Science Project of Ministry of Education, Culture, Sports, Science and Technology, Grant Number JPMXP0219192801. This result was also obtained as a result of a grant project (JPNP20004) from the New Energy and Industrial Technology Development Organization (NEDO). This research was financially supported by Grant-in-Aid for Scientific Research (B) 21H01685 and Grant-in-Aid for Scientific Research (C) 17K06884.

Acknowledgments

This research was supported by Amano Institute of Technology, KOSÉ Cosmetology Research Foundation, Lotte Foundation, Tobe Maki Foundation and Urakami Foundation for Food and Food Culture Pro-motion.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Theoretical eSP (eSPIdeal) at SATP conditions plotted as a function of Hildebrand SP at 298.2 K and 101.3 kPa.
Figure 1. Theoretical eSP (eSPIdeal) at SATP conditions plotted as a function of Hildebrand SP at 298.2 K and 101.3 kPa.
Liquids 05 00021 g001
Table 1. Fundamental properties of 27 selected chemicals.
Table 1. Fundamental properties of 27 selected chemicals.
No.SubstanceMw 1
[-]
TC 2
[K]
PC 3
[MPa]
ρC 4
[kg/m3]
ω 5
[-]
ρL at SATP
[kg/m3]
Hildebrand SP
[MPa0.5]
1Water18.015647.122.064321.980.345997.048.0
2Ethylene Glycol62.0687198.2331.910.5211110.134.5
3N-Methyl-2-pyrrolidone99.131721.64.52319.780.3731026.130.3
4Methanol32.042512.58.084273.860.566789.629.5
5Ethanol46.0685146.137274.210.644785.926.4
6Dimethyl Sulfide62.134503.045.53309.120.194842.626.3
71-Propanol60.095536.85.169274.410.621799.524.6
8N,N-Dimethylformamide73.094649.64.42279.000.318944.524.0
91-Butanol74.122563.14.414271.510.588804.023.3
102-Butanol74.122535.94.188274.530.581802.322.6
11Pyridine79.1619.955.63311.420.239978.021.8
12Cyclopentanone84.116624.54.6326.030.288944.221.1
13Acetophenone120.149709.64.01311.270.3831023.520.9
14Dichloromethane84.9335106.08459.100.1991318.220.4
15Dimethyl Carbonate90.0785484.5358.880.3851063.220.3
16Cyclohexanone98.1436534315.570.299942.720.1
17Acetone58.079508.14.7272.670.307785.619.8
18Tetrahydrofuran72.106540.155.19321.900.225880.019.1
19Benzene78.112562.054.895305.130.21873.018.8
20Toluene92.138591.754.108291.580.264863.918.3
211-Decanol158.2816882.308245.400.607821.017.8
22Trans-Decahydronaphthalene138.256873.2288.020.299866.717.0
23Cyclohexane84.159553.84.08273.240.208773.116.7
24Tetradecane198.3886931.57221.170.643759.315.9
251-Decene140.266616.62.223240.180.48738.215.9
26Decane142.282617.72.11230.600.492726.615.5
27Hexane86.175507.63.025232.280.301656.015.0
1 Mw: Molecular weight, 2 Tc: Critical temperature, 3 Pc: Critical pressure, 4 ρc: Critical density, 5 ω: Acentric factor.
Table 2. Pure-component parameters in original PR EoS given by Equation (4) and eSPT-PR EoS given by Equation (5).
Table 2. Pure-component parameters in original PR EoS given by Equation (4) and eSPT-PR EoS given by Equation (5).
a0b0KC1KC2KC3C
Original PR EoS [1]0.457240.077800.374641.54226−0.269900
eSPT-PR EoS0.470240.080850.321831.84761−0.18613Substance-dependent
Table 3. Obtained constant C of 27 selected chemicals with eSPT-PR EoS and deviations from experimental data values.
Table 3. Obtained constant C of 27 selected chemicals with eSPT-PR EoS and deviations from experimental data values.
No.SubstanceGroupC
[J·mol−1·K−1]
ARD
( ρ L S A T P )
[%]
ARD
( ρ C )
[%]
1WaterWater1.70683.4(17.5) 13.8(28.6) 1
2Ethylene GlycolAlcohol1.11631.4(10.1) 11.2(20.2) 1
3N-Methyl-2-pyrrolidoneCyclic Compound1.64222.7(17.1) 13.0(27.3) 1
4MethanolAlcohol1.78525.1(17.5) 15.8(30.9) 1
5EthanolAlcohol1.20256.4(6.7) 16.0(24.9) 1
6Dimethyl SulfideSulfur compound0.56015.5(2.4) 15.0(17.3) 1
71-PropanolAlcohol0.86556.2(2.0) 15.6(21.1) 1
8N,N-DimethylformamideNitrogen compound2.31083.0(37.7) 11.0(33.3) 1
91-ButanolAlcohol0.78355.8(1.2) 15.3(19.9) 1
102-ButanolAlcohol0.89065.8(2.7) 15.3(21.0) 1
11PyridineAromatic0.48911.7(0.5) 11.7(13.7) 1
12CyclopentanoneKetone1.56006.2(11.7) 16.2(28.9) 1
13AcetophenoneKetone0.93941.7(7.0) 11.4(18.4) 1
14DichloromethaneHalide0.75713.2(2.4) 12.7(17.5) 1
15Dimethyl CarbonateCarbonate1.17204.3(7.8) 13.8(22.9) 1
16CyclohexanoneKetone1.61315.1(13.8) 15.2(28.7) 1
17AcetoneKetone1.50103.8(13.4) 13.6(26.3) 1
18TetrahydrofuranAromatic0.64636.9(2.5) 16.4(19.4) 1
19BenzeneAromatic0.51475.1(2.5) 14.7(16.6) 1
20TolueneAromatic0.69474.5(0.5) 14.0(17.9) 1
211-DecanolAlcohol1.01301.4(8.7) 11.2(19.0) 1
22Trans-DecahydronaphthaleneAromatic0.45475.4(3.3) 15.2(16.3) 1
23CyclohexaneCyclic Compound0.34095.3(4.8) 15.1(15.1) 1
24TetradecaneAlkane1.51260.0(18.4) 10.4(23.9) 1
251-DeceneAlkene1.01254.4(5.5) 13.9(21.2) 1
26DecaneAlkane1.08923.2(7.9) 12.8(21.1) 1
27HexaneAlkane0.60604.8(0.8) 14.4(17.3) 1
-- Average4.2(8.4) 13.9(21.8) 1
1 Results obtained from original PR EoS (in parentheses).
Table 4. Comparison of generalized eSPT-PR EoS given by Equations (5) and (12) with other equations of state.
Table 4. Comparison of generalized eSPT-PR EoS given by Equations (5) and (12) with other equations of state.
a0b0KC1KC2KC3DEARD
( ρ L S A T P )
[%] 1
ARD
( ρ C )
[%] 1
Original PR EoS [1]0.457240.077800.374641.54226−0.26990--8.421.8
VT-PR EoS [10]
(Predictive form)
0.457240.07780-----7.321.8
eSPT-PR EoS
(Predictive form)
0.511190.090790.346871.93487−0.25698−27.67048.733064.12.0
1 27 chemicals selected in this research as shown in Table 1.
Table 5. Prediction of properties for four pure chemicals with eSPT-PR EoS given by Equation (5) according to Equation (12) at several (T, P) conditions. For water, the pc-SAFT EoS [18] was fit to an intermediate isotherm (523.15 K) for parameter determination.
Table 5. Prediction of properties for four pure chemicals with eSPT-PR EoS given by Equation (5) according to Equation (12) at several (T, P) conditions. For water, the pc-SAFT EoS [18] was fit to an intermediate isotherm (523.15 K) for parameter determination.
n-HexaneeSPT-PR EoS
ARD
( ρ L )
[%]
eSPT-PR EoS
ARD
( ρ G )
[%]
pc-SAFT EoS
ARD
( ρ L )
[%]
pc-SAFT EoS
ARD
( ρ G )
[%]
(Tr = 0.8, Pr = 0.8)1.8-2.2-
(Tr = 1.15, Pr = 1.2)-23.9-2.6
CO2eSPT-PR EoS
ARD
( ρ L )
[%]
eSPT-PR EoS
ARD
( ρ G )
[%]
pc-SAFT EoS
ARD
( ρ L )
[%]
pc-SAFT EoS
ARD
( ρ G )
[%]
(Tr = 0.8, Pr = 0.8)1.1 6.0-
(Tr = 1.2, Pr = 1.2)-19.0-5.1
MethanoleSPT-PR EoS
ARD
( ρ L )
[%]
eSPT-PR EoS
ARD
( ρ G )
[%]
pc-SAFT EoS
ARD
( ρ L )
[%]
pc-SAFT EoS
ARD
( ρ G )
[%]
(Tr = 0.8, Pr = 0.8)3.5-0.53-
(Tr = 1.2, Pr = 1.2)-43.7-1.7
WatereSPT-PR EoS
ARD
( ρ L )
[%]
eSPT-PR EoS
ARD
( ρ G )
[%]
pc-SAFT EoS *
ARD
( ρ L )
[%]
pc-SAFT EoS *
ARD
( ρ G )
[%]
(Tr = 0.8, Pr = 0.8)3.9-0.09-
(Tr = 1.2, Pr = 1.2)-42.3-1.5
* mi 1.59364, σ [Å] 2.46841, εi/kT [K] 235.681, kAB 0.071007, εAB/kT [K] 3387.68.
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Ota, M.; Yang, N.; Komatsu, H.; Inomata, H.; Smith, R.L., Jr. Entropy-Based Solubility Parameter-Translated Peng–Robinson Equation of State (eSPT-PR EoS). Liquids 2025, 5, 21. https://doi.org/10.3390/liquids5030021

AMA Style

Ota M, Yang N, Komatsu H, Inomata H, Smith RL Jr. Entropy-Based Solubility Parameter-Translated Peng–Robinson Equation of State (eSPT-PR EoS). Liquids. 2025; 5(3):21. https://doi.org/10.3390/liquids5030021

Chicago/Turabian Style

Ota, Masaki, Naishu Yang, Hiroyuki Komatsu, Hiroshi Inomata, and Richard Lee Smith, Jr. 2025. "Entropy-Based Solubility Parameter-Translated Peng–Robinson Equation of State (eSPT-PR EoS)" Liquids 5, no. 3: 21. https://doi.org/10.3390/liquids5030021

APA Style

Ota, M., Yang, N., Komatsu, H., Inomata, H., & Smith, R. L., Jr. (2025). Entropy-Based Solubility Parameter-Translated Peng–Robinson Equation of State (eSPT-PR EoS). Liquids, 5(3), 21. https://doi.org/10.3390/liquids5030021

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