Prediction of hypothetical solubility of drugs in phase separated miscible binary solvent mixtures using an interpolation technique

Abstract

Solubility is one of the most important thermodynamic properties in drug discovery, and a major parameter to be considered in pharmaceutics in order to achieve suitable formulations for the desired pharmacological response. It is also an impotant issue in drug re-crystalization and drug extraction using liquid–liquid phase separation. So, the knowledge of solubility in the neat and mixed solvents at various temperatures is neccesary in many pharmaceutical/chemical areas. However, the experimental measurement of this property in all mixture compositions and temperatures is not possible; for example, due to phase separation. In the current study, the applicability of the Jouyban-Acree based models will be investigated for prediction of solubility data in such a solvent mixture using an interpolation technique that provides hypothetical solubility data for these troubled fractions.