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Related Experiment Videos

A model for drug release from fast phase inverting injectable solutions.

C Raman1, A J McHugh

  • 1Department of Chemical and Biomolecular Engineering, University of Illinois, 600 S.Mathews, Urbana, IL 61801, USA.

Journal of Controlled Release : Official Journal of the Controlled Release Society
|January 18, 2005
PubMed
Summary

A new model predicts protein release from injectable polymer depots undergoing phase inversion. It accurately describes release profiles, from burst release to zero-order kinetics, matching experimental data.

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Area of Science:

  • Biomaterials Science
  • Chemical Engineering
  • Pharmacokinetics

Background:

  • Injectable polymer depots are used for controlled drug delivery.
  • Phase inversion upon injection affects drug release kinetics.
  • Predictive models are needed to optimize drug release profiles.

Purpose of the Study:

  • To develop a mathematical model for protein release from injectable polymer solutions undergoing phase inversion.
  • To correlate model parameters with experimental observations of phase inversion morphology.
  • To predict and explain variations in drug release kinetics.

Main Methods:

  • Developed a diffusion-reaction mass balance model for polymer-rich and solvent-rich phases.
  • Coupled transport parameters to ternary thermodynamics using friction formalism.

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  • Estimated parameters from literature and identified two free parameters: water phase volume fraction and mass-transfer coefficient.
  • Validated the model against lysozyme release data from PLGA and PLA systems with and without Pluronic.

    • Main Results:

    • The model accurately describes protein release kinetics, predicting profiles from burst release to zero-order release.
    • Model predictions showed good agreement with experimental lysozyme release data.
    • The model illustrated the transition from rapid release to zero-order kinetics upon Pluronic addition.

    Conclusions:

    • The developed model provides a robust framework for understanding and predicting protein release from injectable polymer depots.
    • The model successfully captures the complex interplay between phase inversion and drug release kinetics.
    • The findings have implications for designing advanced drug delivery systems with tailored release profiles.