Predicting the solubility, thermodynamic properties and preferential solvation of sulphamethazine in {acetonitrile + water} mixtures using a minimum number of experimental data points

ABSTRACT

The all experimental solubility data of sulphamethazine in {acetonitrile (1) + water (2)} binary solvent mixtures at temperature range from (278.15 to 323.15) K have been carefully reanalysed. Then, a minimum number of experimental solubility data has been chosen to predict the solubility data at all possible solvent compositions and temperatures using interpolation technique. The predicted data was compared with the experimental data employing the average absolute percentage deviation (AAPD) as an accuracy criterion. The preferential solvation analyses based on the inverse Kirkwood-Buff integrals and also apparent thermodynamic properties were conducted employing the simulated data and the obtained results were compared with those obtained employing all data points. Gibbs energy and preferential solvation follow similar trends but enthalpy and entropy of dissolution exhibit significant differences.

KEYWORDS:

• Solubility prediction
• co-solvency models
• Jouyban-Acree model
• Jouyban-Acree-van’t Hoff model
• apparent thermodynamic properties
• preferential solvation

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

A. Jouyban would like to thank for a grant (62733) of Tabriz University of Medical Sciences for supporting this work.