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

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...

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Bibliographic Details
Published in:Journal of solution chemistry 2022-09, Vol.51 (9), p.1000-1019
Main Authors: Karimzadeh, Zahra, Rahimpour, Elaheh, Acree, William E., Jouyban, Abolghasem
Format: Article
Language:English
Subjects:
Chemistry
Chemistry and Materials Science
Condensed Matter Physics
Geochemistry
Industrial Chemistry/Chemical Engineering
Inorganic Chemistry
Mathematical models
Model accuracy
Oceanography
Parameters
Physical Chemistry
Solubility
Solvation
Solvents
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Summary: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.
ISSN:0095-9782
1572-8927
DOI:10.1007/s10953-021-01121-3