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Employing Abraham and Hansen Parameters for Solubility Prediction of Ketoconazole in Binary Solvents at Various Temperatures

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Abstract

The Jouyban–Acree model is reported to be the most accurate mathematical model for predicting drug solubility in the mixed solvents at various temperatures. In this study, the solubility of ketoconazole is predicted using the Jouyban–Acree based general models in some previously reported co-solvency systems. For this purpose, parameters of the Hansen solubility and the Abraham solvation parameters are combined with the Jouyban–Acree model and are trained with reported solubility data for ketoconazole to reach predictive co-solvency models. For investigation of the models’ accuracies, the values for mean relative deviations of predicted data from published experimental values are calculated and discussed.

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Acknowledgements

This work was supported by Research Affairs of Tabriz University of Medical Sciences (Tabriz, Iran) under Grant Number 65523.

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Authors and Affiliations

  1. Student Research Committee, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran

    Zahra Karimzadeh & Elaheh Rahimpour

  2. Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran

    Zahra Karimzadeh & Abolghasem Jouyban

  3. Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran

    Elaheh Rahimpour

  4. Department of Chemistry, University of North Texas, Denton, USA

    William E. Acree Jr.

  5. Faculty of Pharmacy, Near East University, Nicosia, North Cyprus, PO BOX 99138, Mersin 10, Turkey

    Abolghasem Jouyban

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  1. Zahra Karimzadeh
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  4. Abolghasem Jouyban
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Correspondence to Abolghasem Jouyban.

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Karimzadeh, Z., Rahimpour, E., Acree, W.E. et al. Employing Abraham and Hansen Parameters for Solubility Prediction of Ketoconazole in Binary Solvents at Various Temperatures. J Solution Chem 51, 1000–1019 (2022). https://doi.org/10.1007/s10953-021-01121-3

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  • DOI: https://doi.org/10.1007/s10953-021-01121-3

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