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Related Experiment Videos

Predicting solubility in multiple nonpolar drugs-cyclodextrin system.

Luwei Zhao1, Edward Orton, N Murti Vemuri

  • 1Global Pharmaceutical Development, Aventis Pharmaceuticals, Bridgewater, New Jersey 08807, USA. luwei.zhao@aventis.com

Journal of Pharmaceutical Sciences
|October 16, 2002
PubMed
Summary
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This study introduces a model to predict drug solubility in complex mixtures. The model accurately forecasts how adding other drugs, like steroids in hydroxypropyl-beta-cyclodextrin (HPbetaCD), affects a specific drug's solubility.

Area of Science:

  • Pharmaceutical Sciences
  • Physical Chemistry
  • Chemical Engineering

Background:

  • Drug solubility is critical for formulation and bioavailability.
  • Complex drug mixtures, common in pharmaceutical formulations, present challenges in predicting solubility.
  • Hydroxypropyl-beta-cyclodextrin (HPbetaCD) is frequently used to enhance drug solubility.

Purpose of the Study:

  • To develop and validate a predictive model for the solubility of a nonpolar drug (D(A)) in the presence of other nonpolar drugs (D(1) to D(n)).
  • To investigate the molecular interactions between drugs and a complexing ligand, specifically HPbetaCD.
  • To quantify the impact of co-administered drugs on the solubility of a target drug.

Main Methods:

  • An equilibrium-based model was formulated to describe molecular interactions.

Related Experiment Videos

  • The model predicts the solubility of D(A) based on the presence and properties of other drugs (D(1) to D(n)) and the complexing ligand (L).
  • Experimental validation was performed using three steroid drugs (prednisolone, 17alpha-hydroxyprogesterone, progesterone) in HPbetaCD solutions.

    • Main Results:

    • The model accurately predicts that the solubility of D(A) decreases in the presence of other drugs (D(1) to D(n)).
    • The decrease in solubility is quantitatively related to the intrinsic solubilities and drug-ligand complexation constants of the other drugs.
    • Experimental data for steroid solubility in HPbetaCD closely matched the model's predictions across various HPbetaCD concentrations.

    Conclusions:

    • The developed model reliably predicts drug solubility in complex multi-drug systems.
    • The findings confirm that co-administered drugs reduce the solubility of a target drug in HPbetaCD.
    • The model offers a valuable tool for pharmaceutical formulation development and solubility prediction.