Determination of <i>N</i>-Acetyl-<scp>l</scp>-methionine Solubility in 12 Solvents and Its Comparison with Structurally Similar Substances: Solvent Effects Analysis, Molecular Simulation, and Model Correlation

The mole fraction solubility of N-acetyl-l-methionine in 12 different pure solvents was determined by the static gravimetric method at 101.2 kPa in the temperature range 283.15–323.15 K. The results show that the solubility of solutes in all 12 single solvents increases with increasing temperature, and at 298.15 K, the order is ethanol > n-propanol > n-butanol > acetone > n-pentanol >2-butanone > acetonitrile > methyl acetate > ethyl acetate > propyl acetate > butyl acetate > dimethyl carbonate. In order to study the equilibrium solid phase of N-acetyl-l-methionine in a solvent system, powder X-ray diffraction (PXRD) was used. Three models were used to fit the solubility data, which were the modified Apelblat model, UNIQUAC model, and Margules model. The relevant model parameters and data deviation values were calculated. It was found that the modified Apelblat model could give better results in correlation analysis. The interaction of N-acetyl-l-methionine in solution was studied by using the molecular electrostatic potential surface (MEPS). Furthermore, the differences in solubility between N-acetyl-l-methionine and N-acetyl-dl-methionine in the same solvent were analyzed. The results could provide a basis for the production and optimization of the crystallization process of N-acetyl-l-methionine.

Authors

Institutions

Publication Details

Journal
Journal of Chemical & Engineering Data
Published
2025-05-03
DOI
https://doi.org/10.1021/acs.jced.5c00074
Citations
1
Primary Topic
Crystallization and Solubility Studies
Type
article
Field-Weighted Citation Impact
0.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determination of N-Acetyl-l-methionine Solubility in 12 Solvents and Its Comparison with Structurally Similar Substances: Solvent Effects Analysis, Molecular Simulation, and Model Correlation

Yusheng Xiao, Long Zhao, Junjie Li, Bingbing Li et al.
1 citations
Journal of Chemical & Engineering Data
Crystallization and Solubility Studies
0.52
article

Determination of N-Acetyl-l-methionine Solubility in 12 Solvents and Its Comparison with Structurally Similar Substances: Solvent Effects Analysis, Molecular Simulation, and Model Correlation

Yusheng Xiao, Long Zhao, Junjie Li, Bingbing Li, Peng Wang, Chen Wu, Xing Xin, Min Ding
article en
1 citations

Abstract

The mole fraction solubility of N-acetyl-l-methionine in 12 different pure solvents was determined by the static gravimetric method at 101.2 kPa in the temperature range 283.15–323.15 K. The results show that the solubility of solutes in all 12 single solvents increases with increasing temperature, and at 298.15 K, the order is ethanol > n-propanol > n-butanol > acetone > n-pentanol >2-butanone > acetonitrile > methyl acetate > ethyl acetate > propyl acetate > butyl acetate > dimethyl carbonate. In order to study the equilibrium solid phase of N-acetyl-l-methionine in a solvent system, powder X-ray diffraction (PXRD) was used. Three models were used to fit the solubility data, which were the modified Apelblat model, UNIQUAC model, and Margules model. The relevant model parameters and data deviation values were calculated. It was found that the modified Apelblat model could give better results in correlation analysis. The interaction of N-acetyl-l-methionine in solution was studied by using the molecular electrostatic potential surface (MEPS). Furthermore, the differences in solubility between N-acetyl-l-methionine and N-acetyl-dl-methionine in the same solvent were analyzed. The results could provide a basis for the production and optimization of the crystallization process of N-acetyl-l-methionine.

Journal of Chemical & Engineering DataVol. 70(6)
Advanced Institute of Materials Science (JP), Changchun University of Technology (CN)
Natural Science Foundation of Jilin Province
Openalex Percentile: Top 39%
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.