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Predicting solubility in multiple nonpolar drugs-cyclodextrin system.

Luwei Zhao·Edward Orton·N Murti Vemuri
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Abstract

This study presents a model to predict the solubility of a nonpolar drug D(A) in the presence of other nonpolar drugs D(1) em leader D(n) in a complexing ligand L system such as hydroxypropyl-beta-cyclodextrin (HPbetaCD). Using an equilibrium approach, the model describes the molecular interactions among these drug species and the ligand. The model indicates that the solubility of D(A) invariably decreases as a result of the presence of D(1) em leader D(n). Furthermore, the decrease in D(A) solubility is related to the sum of the products of the intrinsic solubilities of the other drugs and drug-ligand complexation constants. To test the model, three steroids (prednisolone, 17alpha-hydroxyprogesterone, and progesterone) were used as model compounds in HPbetaCD solutions. The experimental data showed that the solubility of any particular drug decreased in the presence of other drugs. At all tested HPbetaCD concentrations, these experimental solubility data were in good agreement with the predicted solubility data. This result lends strong support to the reliability and effectiveness of the proposed model.

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2-Hydroxypropyl-beta-cyclodextrinCyclodextrinsDrug StabilityModels, ChemicalPredictive Value of TestsPrednisoloneProgesteroneSolubilitybeta-CyclodextrinsJournal Article

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Luwei Zhao, Edward Orton, N Murti Vemuri. 2002. Predicting solubility in multiple nonpolar drugs-cyclodextrin system.. https://doi.org/10.1002/jps.10210

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