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Modeling of drug release from collagen matrices
Florin A Radu1, Markus Bause, Peter Knabner
1Department of Pharmaceutical Technology, University of Erlangen, Cauerstr. 4, D-91058 Erlangen, Germany.
Journal of Pharmaceutical Sciences
|April 12, 2002
Summary
A new model accurately predicts drug release from crosslinked collagen matrices by simulating water penetration and swelling. This approach enhances understanding of controlled drug delivery systems.
Area of Science:
- Biomaterials Science
- Drug Delivery Systems
- Polymer Physics
Background:
- Drug release from collagen matrices is typically diffusion-controlled but influenced by degradation and drug-matrix interactions.
- Crosslinking insoluble collagen matrices reduces water uptake and prolongs drug release.
- Existing models often do not fully capture the complex dynamics of swelling and release.
Purpose of the Study:
- To develop and validate a one-dimensional model for describing water penetration, swelling, and drug release from crosslinked collagen matrices.
- To incorporate mechanisms like Fickian diffusion, swelling-induced convection, and matrix crosslinking effects.
- To provide a predictive tool for optimizing drug release profiles from collagen-based delivery systems.
Main Methods:
- A one-dimensional model was developed based on Fickian diffusion and a volume balance for swelling.
- A moving boundary approach was used to account for the phase separation in thermally crosslinked matrices.
- Biquadratic finite elements in space and time were employed to solve the governing equations, with a closed-form solution derived for constant diffusion coefficients.
Main Results:
- The model accurately describes water penetration, swelling, and drug release kinetics in insoluble collagen matrices.
- The numerical method demonstrated stability and high accuracy, even with initial time singularities.
- Model predictions were verified against experimental data for matrices with varying degrees of chemical and thermal crosslinking.
Conclusions:
- The developed model provides a robust framework for understanding and predicting drug release from crosslinked collagen matrices.
- The incorporation of swelling dynamics and crosslinking significantly improves the accuracy of release profile predictions.
- This work contributes to the rational design of advanced collagen-based drug delivery systems with tailored release characteristics.