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An Injectable and Drug-loaded Supramolecular Hydrogel for Local Catheter Injection into the Pig Heart
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Parametric simulation of drug release from hydrogel-based matrices.

Gaetano Lamberti1

  • 1Dipartimento di Ingegneria Industriale, Università degli Studi di Salerno, Fisciano (SA), Italy. glamberti@unisa.it

The Journal of Pharmacy and Pharmacology
|December 14, 2011
PubMed
Summary

A new model accurately predicts drug release from hydroxypropylmethylcellulose (HPMC) matrices containing diclofenac, demonstrating its predictive power across different formulations without needing adjustable parameters.

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Area of Science:

  • Pharmaceutical Sciences
  • Materials Science

Background:

  • Hydrogel matrices are widely used for controlled drug delivery.
  • Hydroxypropylmethylcellulose (HPMC) is a common polymer in these matrices.
  • Accurate modeling of drug release is crucial for optimizing dosage forms.

Purpose of the Study:

  • To apply a recently developed model to predict fractional drug release from HPMC-diclofenac matrices.
  • To validate the model's predictive capabilities using literature data.
  • To assess the model's performance across varied preparation parameters.

Main Methods:

  • Utilized a model based on mass balances and transport phenomena.
  • Employed a Finite Element Method (FEM)-based numerical code for model solution.
  • Analyzed experimental data from HPMC-diclofenac matrices with varying drug loading, compression force, and particle size.

Main Results:

  • Achieved excellent agreement between model predictions and experimental data.
  • Demonstrated successful prediction without the use of adjustable parameters.
  • Confirmed the model's accuracy for HPMC-diclofenac systems.

Conclusions:

  • The model exhibits strong predictive power for drug release from HPMC matrices.
  • The model's validity extends to different drug molecules and preparation variables.
  • This validated model can aid in the rational design of drug delivery systems.