Computational methodology for solubility prediction: Application to the sparingly soluble solutes

被引:84
|
作者
Li, Lunna [1 ]
Totton, Tim [2 ]
Frenkel, Daan [1 ]
机构
[1] Univ Cambridge, Dept Chem, Cambridge CB2 1EW, Cambs, England
[2] BP Explorat Operating Co Ltd, Sunbury On Thames TW16 7LN, Middx, England
来源
JOURNAL OF CHEMICAL PHYSICS | 2017年 / 146卷 / 21期
关键词
SCALE MINERAL SOLUBILITIES; MOLECULAR-DYNAMICS METHOD; HIGH-TEMPERATURE EQUATION; FREE-ENERGY CALCULATIONS; CONSTANT-PRESSURE; AQUEOUS NACL; CRYSTALLINE NAPHTHALENE; AROMATIC-HYDROCARBONS; STATISTICAL-MECHANICS; PERTURBATION-THEORY;
D O I
10.1063/1.4983754
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The solubility of a crystalline substance in the solution can be estimated from its absolute solid free energy and excess solvation free energy. Here, we present a numerical method, which enables convenient solubility estimation of general molecular crystals at arbitrary thermodynamic conditions where solid and solution can coexist. The methodology is based on standard alchemical free energy methods, such as thermodynamic integration and free energy perturbation, and consists of two parts: (1) systematic extension of the Einstein crystal method to calculate the absolute solid free energies of molecular crystals at arbitrary temperatures and pressures and (2) a flexible cavity method that can yield accurate estimates of the excess solvation free energies. As an illustration, via classical Molecular Dynamic simulations, we show that our approach can predict the solubility of OPLS-AA-based (Optimized Potentials for Liquid Simulations All Atomic) naphthalene in SPC (Simple Point Charge) water in good agreement with experimental data at various temperatures and pressures. Because the procedure is simple and general and only makes use of readily available open-source software, the methodology should provide a powerful tool for universal solubility prediction. (C) 2017 Author(s).
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页数:15
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