手性化合物溶解度的相关模型和预测模型热力学建模

M. Salimi, B. ZareNezhad, H. Fakhraian, Ebrahim Choobdari
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引用次数: 1

摘要

许多分子间的作用力和参数影响化合物在溶剂中的溶解度。提出了各种热力学模型来预测这些参数并确定固液平衡数据。通过选择合适的热力学模型进行溶解度建模,可以减小计算误差,使计算结果更接近实验数据。本文研究了两种预测模型和两种相关模型在手性化合物溶解度建模中的能力。因此,使用UNIQUAC和NRTL模型对纯形式和外消旋形式的手性氯胺酮、扁桃酸和3-氯代扁桃酸的溶解度进行了评估。纯氯胺酮和外消旋氯胺酮在乙醇中的溶解度模型也由UNIFAC和NRTL-SAC模型确定。实验数据与NRTL和UNIQUAC模型的结果吻合较好。预测NRTL-SAC模型对氯胺酮纯型和消旋型溶解度的测定偏差小于UNIFAC模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thermodynamic Modeling of Chiral Compounds Solubility Using Correlative and Predictive Models
Many intermolecular forces and parameters affect the solubility of a compound in a solvent. Various thermodynamic models are presented to predict these parameters and determine solid liquid equilibrium data. By selecting suitable thermodynamic model for solubility modeling, calculation error is reduced and the results will be closer to the experimental data. Herein, the ability of two predictive and two correlative models in solubility modeling of chiral compounds is investigated. Thus, solubility of pure and racemic forms of chiral Ketamine, Mandelic acid and 3-Chloromandelic acid is evaluated using UNIQUAC and NRTL models. The solubility modeling of pure and racemic forms of Ketamine in Ethanol is also determined by UNIFAC and NRTL-SAC models. There are good agreement between experimental data and results of NRTL and UNIQUAC models. Predictive NRTL-SAC model shows smaller deviation than UNIFAC in solubility determination of pure and racemic form of Ketamine.
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