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Dissolution-controlled transport from dispersed matrixes

S K Chandrasekaran, D R Paul

    Journal of Pharmaceutical Sciences
    |December 1, 1982
    PubMed
    Summary
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    This study presents a simplified mathematical model for drug release from polymeric matrices, focusing on dissolution control. The model accurately predicts drug release rates, showing good agreement with experimental data for various drug particle sizes.

    Area of Science:

    • Pharmaceutical Sciences
    • Chemical Engineering
    • Materials Science

    Background:

    • Drug delivery systems often rely on controlled release from polymeric matrices.
    • Previous models primarily addressed diffusion-controlled release, limiting applicability.
    • Dissolution can be the rate-limiting step in drug transport from dispersed matrices.

    Purpose of the Study:

    • To develop a simplified mathematical model for dissolution-controlled drug transport from dispersed matrices.
    • To analyze the mass release behavior when solute dissolution is the limiting resistance.
    • To validate the model using experimental drug release data.

    Main Methods:

    • Development of a simplified mathematical model for dissolution-controlled transport.
    • Derivation of an analytical solution where mass released is directly proportional to time.

    Related Experiment Videos

  • Experimental measurement of drug release rates from a polymeric matrix with varying drug particle sizes.

    • Main Results:

    • The proposed model simplifies the understanding of dissolution-controlled transport.
    • The model predicts a linear relationship between mass released and time under dissolution control.
    • Experimental drug release data showed good agreement with the model's predictions.

    Conclusions:

    • The simplified mathematical model effectively describes dissolution-controlled drug release from dispersed matrices.
    • The model provides a valuable tool for predicting drug release kinetics.
    • Experimental validation confirms the model's applicability and accuracy.