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Related Experiment Videos

Programmed diffusional release rate from encapsulated cosolvent system

F Theeuwes, K Ashida, T Higuchi

    Journal of Pharmaceutical Sciences
    |May 1, 1976
    PubMed
    Summary
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    This study introduces a cosolvent system for controlled drug release, enabling programmable delivery rates via a rate-controlling membrane. The developed equations accurately predict release profiles, matching experimental progesterone delivery data.

    Area of Science:

    • Materials Science
    • Chemical Engineering
    • Pharmaceutical Sciences

    Background:

    • Controlled drug delivery systems are crucial for therapeutic efficacy.
    • Solvent systems influence drug solubility and release kinetics.
    • Rate-controlling membranes are key components in diffusion-based delivery devices.

    Purpose of the Study:

    • To discuss the programmed diffusional release rate of an active agent from a cosolvent system through a rate-controlling membrane.
    • To derive equations for predicting release rates based on system parameters.
    • To evaluate the system's ability to achieve programmable release profiles.

    Main Methods:

    • Development of theoretical equations for diffusional release.
    • Mathematical modeling incorporating agent and cosolvent permeability, capsule dimensions, and initial conditions.

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  • Experimental validation using progesterone in a cyclohexane/cosolvent system within a polyethylene capsule.

    • Main Results:

    • Equations were derived to describe the release rate of an active agent.
    • The system demonstrated the capability to program a variety of release rate profiles, from declining to increasing patterns.
    • Experimental data for progesterone release qualitatively supported the theoretical predictions.

    Conclusions:

    • The cosolvent system offers a method for programming diffusional release rates.
    • The derived equations provide a predictive framework for designing controlled release devices.
    • The study validates the theoretical model with experimental evidence, supporting its potential application.