Determination of 2-Chlorocinnamic Acid Solubility in 16 Solvents: Model Correlation, Molecular Simulation and Solvent Effects Analysis

The solubility of 2-chlorocinnamic acid in 16 pure organic solvents, including alcohols, esters, ketones, toluene, and acetonitrile, was determined by the gravimetric method at 272.15–321.55 K under 101.3 kPa. Results showed that solubility of 2-chlorocinnamic acid increased with temperature in all solvents. To correlate the experimental data, five thermodynamic models, i.e., the modified Apelblat, Buchowski–Ksiazaczak λh, NRTL, Wilson, and Yaws equations, were employed. Model accuracy was evaluated using average relative deviation (ARD) and root-mean-square deviation (RMSD), and all models provided satisfactory correlations. In addition, electrostatic potential energy surface analysis was carried out to preliminarily assess possible solute–solvent interactions, while density functional theory (DFT) calculations were used to further examine molecular interactions during dissolution. The Kamlet–Abboud–Taft linear solvation energy relationship (KAT-LSER) model was applied to analyze solvent effects. Thermodynamic functions, including enthalpy, entropy, and Gibbs free energy of mixing, were calculated using the Wilson model. The results revealed that the dissolution of 2-chlorocinnamic acid in the studied solvents is an endothermic, entropy-driven, and spontaneous process, indicating favorable solute–solvent interactions and enhanced solubility at higher temperatures.

Authors

Institutions

Publication Details

Journal
Journal of Chemical & Engineering Data
Published
2025-10-14
DOI
https://doi.org/10.1021/acs.jced.5c00494
Citations
1
Primary Topic
Crystallization and Solubility Studies
Type
article
Field-Weighted Citation Impact
0.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determination of 2-Chlorocinnamic Acid Solubility in 16 Solvents: Model Correlation, Molecular Simulation and Solvent Effects Analysis

Liying Huang, Kui Wu, Bao-Quan Ou, Xiaobing Liu et al.
1 citations
Journal of Chemical & Engineering Data
Crystallization and Solubility Studies
0.52
article

Determination of 2-Chlorocinnamic Acid Solubility in 16 Solvents: Model Correlation, Molecular Simulation and Solvent Effects Analysis

Liying Huang, Kui Wu, Bao-Quan Ou, Xiaobing Liu, Yajun Li, Xiaofang Li, Yuehua Ke, C.N. Che
article en
1 citations

Abstract

The solubility of 2-chlorocinnamic acid in 16 pure organic solvents, including alcohols, esters, ketones, toluene, and acetonitrile, was determined by the gravimetric method at 272.15–321.55 K under 101.3 kPa. Results showed that solubility of 2-chlorocinnamic acid increased with temperature in all solvents. To correlate the experimental data, five thermodynamic models, i.e., the modified Apelblat, Buchowski–Ksiazaczak λh, NRTL, Wilson, and Yaws equations, were employed. Model accuracy was evaluated using average relative deviation (ARD) and root-mean-square deviation (RMSD), and all models provided satisfactory correlations. In addition, electrostatic potential energy surface analysis was carried out to preliminarily assess possible solute–solvent interactions, while density functional theory (DFT) calculations were used to further examine molecular interactions during dissolution. The Kamlet–Abboud–Taft linear solvation energy relationship (KAT-LSER) model was applied to analyze solvent effects. Thermodynamic functions, including enthalpy, entropy, and Gibbs free energy of mixing, were calculated using the Wilson model. The results revealed that the dissolution of 2-chlorocinnamic acid in the studied solvents is an endothermic, entropy-driven, and spontaneous process, indicating favorable solute–solvent interactions and enhanced solubility at higher temperatures.

Journal of Chemical & Engineering DataVol. 70(11)
Ministry of Public Security of the People's Republic of China (CN), Jinggangshan University (CN), Institute of Forensic Science (CN)
Openalex Percentile: Top 32%
Crystallization and Solubility Studies
0.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.