Prediction of drug solubility in ethanol-ethyl acetate mixtures at various temperatures using the Jouyban-Acree model

Abstract

The profile of twenty-six solubility data sets in ethanol-ethyl acetate mixtures at various temperatures were reproduced using a trained version of the Jouyban-Acree model. The mean percentage deviation between predicted and observed solubilities was 13.1%. The maximum solubility (logX(m.max)) in the mixed solvent system and the corresponding solvent composition ((l.max)) were also predicted by the model. The overall average error of log(xm.max) was 0.07 +/- 0.04 in logarithmic scale and for f(l.max) was 0.07 +/- 0.07, which is equal to 7% when solvent composition is expressed as volume percentage of the cosolvent.