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  • Title: Solubility prediction of drugs in mixed solvents using partial solubility parameters.
    Author: Jouyban A, Shayanfar A, Panahi-Azar V, Soleymani J, Yousefi BH, Acree WE, York P.
    Journal: J Pharm Sci; 2011 Oct; 100(10):4368-82. PubMed ID: 21630276.
    Abstract:
    Solubility of drugs in binary and ternary solvent mixtures composed of water and pharmaceutical cosolvents at different temperatures were predicted using the Jouyban-Acree model and a combination of partial solubility parameters as interaction descriptors in the solution. The generally trained version of the model produced the overall mean percentage deviation values for the back-calculated solubility of drugs in binary solvents of 34.3% and the predicted solubilities in ternary solvent mixtures of 38.0%. In addition, the applicability of the trained model for predicting the solvent composition providing the maximum solubility of a drug was investigated. The results of collected solubility data of drugs in various mixed solvents and the newly measured solubility data of five drugs in ethanol + propylene glycol + water mixtures at 25°C showed that the model provided acceptable predictions and could be used in the pharmaceutical industry.
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