Solubilization of ibuprofen: Computational and predictive tools

ABSTRACT

Herein, some trained models based on the vant’ Hoff and Jouyban-Acree model were proposed for predicting ibuprofen solubility in the mono-solvents and binary systems. The predictive models were obtained by the combination of the vant’ Hoff and Jouyban-Acree model with variables derived from the Abraham, Hansen, and Catalan parameters. The prediction power of the proposed equations was evaluated by computing the overall mean relative deviation values of the solubility data for ibuprofen in 16 mono-solvents and 17 binary mixtures and discussed. The developed equations enable the researchers to predict the solubility trend of ibuprofen in mono- and binary mixtures at different temperatures, which can be helpful in research and industrial applications.

KEYWORDS:

• Ibuprofen
• Jouyban-Acree model
• prediction

Acknowledgments

This work was supported by Research Affairs of Tabriz University of Medical Sciences, under grant number 66277.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The work was supported by the Tabriz University of Medical Sciences [72173].