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A dissolution-diffusion model for the TAXUS drug-eluting stent with surface burst estimated from continuum
Victor Barocas1, William Drasler, Tim Girton
1Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, USA.
This study presents a new model for drug release from polymer matrices, accurately predicting initial burst release and sustained drug delivery based on drug concentration. The model is validated using paclitaxel release data.
Area of Science:
- Pharmacokinetics and Drug Delivery
- Materials Science and Engineering
- Computational Modeling
Background:
- Drug release from hydrophobic polymer matrices is complex, often exhibiting an initial burst release followed by sustained release.
- Understanding and predicting drug release profiles is crucial for optimizing therapeutic efficacy and patient compliance.
- Existing models may not fully capture the nuances of surface burst release and its dependence on formulation parameters.
Purpose of the Study:
- To develop and validate a novel two-layer dissolution-diffusion model for predicting drug release from hydrophobic polymer matrices.
- To incorporate a surface burst component estimated using continuum percolation models.
- To investigate the influence of drug loading on both surface burst and sustained release characteristics.
Main Methods:
- Derivation of a two-layer dissolution-diffusion model.
- Estimation of the surface burst component using continuum percolation models of overlapping Poisson distributed spheres.
- Experimental validation using paclitaxel release from a hydrophobic polymer matrix at varying drug loadings.
Main Results:
- The derived model adequately describes the release properties of paclitaxel.
- The model successfully captures the initial surface burst release phenomenon.
- The model demonstrates the dependence of both surface burst and sustained release on drug loading.
Conclusions:
- The developed two-layer dissolution-diffusion model provides a robust framework for predicting drug release from hydrophobic matrices.
- The incorporation of a percolation-based surface burst component enhances model accuracy.
- This model can aid in the rational design of drug delivery systems with tailored release profiles.
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