Solubility Prediction of Paracetamol in Binary and Ternary Solvent Mixtures Using Jouyban–Acree Model

Abstract

The Jouyban–Acree model has been used to predict the solubility of paracetamol in water–ethanol–propylene glycol binary and ternary mixtures based on model constants computed using a minimum number of solubility data of the solute in water–ethanol, water–propylene glycol and ethanol–propylene glycol binary mixtures. Three data points from each binary solvent system and solubilities in neat solvents were used to calculate the binary interaction parameters of the model. Then the solubility at other binary solvent compositions as well as in a number of ternary solvents were predicted, and the mean percentage deviation (±S.D.) of predicted values from experimental solubilities was 7.4(±6.1)%.