Prediction of sulfonamides' solubilities in the mixed solvents using solvation parameters

The experimental solubility data of various sulfonamides in the binary solvent systems at various temperatures are collected from the literature and fitted to Jouyban-Acree model as an accurate cosolvency model for providing solubility prediction tools. In order to obtain predictive cosolvency models, the Jouyban-Acree model is combined with physicochemical parameters of the Abraham solvation parameters and the Hansen solubility parameters. Based on these computations, the generally trained versions of the combined models are proposed which enable one to predict the solubility of sulfonamides in the binary solvent mixtures at various temperatures with reasonable error levels. (C) 2021 Elsevier B.V. All rights reserved.

Automated summary

A predictive cosolvency model is proposed by combining the Jouyban-Acree model with physicochemical parameters of the Abraham solvation parameters and the Hansen solubility parameters, enabling the prediction of sulfonamide solubility in binary solvent mixtures at various temperatures with reasonable error levels.