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Updated: Feb 11, 2026

Manufacture and Drug Delivery Applications of Silk Nanoparticles
Published on: October 8, 2016
Modelling mass diffusion for a multi-layer sphere immersed in a semi-infinite medium: application to drug delivery
Elliot J Carr1, Giuseppe Pontrelli2
1School of Mathematical Sciences, Queensland University of Technology (QUT), Brisbane, Australia.
This study models mass diffusion in composite spheres, offering an analytical solution for drug kinetics in microcapsules. The findings provide insights into drug release and absorption dynamics for spherical drug delivery systems.
Area of Science:
- Chemical Engineering
- Physical Chemistry
- Pharmacokinetics
Background:
- Mass diffusion in composite spherical systems is crucial for understanding drug delivery.
- Existing models often require artificial truncation, limiting accuracy.
- Spherical microcapsules are widely used for controlled drug release.
Purpose of the Study:
- To develop a general mechanistic model for mass diffusion in multi-layer composite spheres.
- To derive an analytical, closed-form solution for concentration profiles and drug mass.
- To apply the model to drug kinetics of desorbing and absorbing spherical microcapsules.
Main Methods:
- Formulation of a multi-layer diffusion model with interlayer boundary conditions.
- Derivation of an analytical solution using inverse Laplace transforms.
- Numerical evaluation of concentration profiles and drug mass curves.
Main Results:
- An analytical solution was obtained for mass diffusion in composite spheres without artificial truncation.
- Concentration profiles and drug mass curves were presented for spherical microcapsules.
- The influence of the surface mass transfer coefficient on diffusion was analyzed.
Conclusions:
- The developed model provides an accurate and generalizable method for analyzing mass diffusion in composite spheres.
- The analytical solution is valuable for understanding and optimizing drug kinetics in microcapsule systems.
- This work contributes to the field of drug delivery by offering a robust theoretical framework.
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