Mathematical Analysis of Drug Diffusion in Tissues
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Abstract
A drug released at a tissue boundary may diffuse through extracellular space while simultaneously binding to tissue constituents, entering cells, undergoing metabolism or being removed by microvessels. Mathematical models link these processes to spatial concentration and exposure. This article develops a one-dimensional diffusion–reaction model from conservation of mass and Fick’s law, states its boundary conditions and analytical steady-state solution, and explains characteristic timescales and penetration length. A constructed example compares normalized concentration profiles under three first-order removal rates. With the same diffusivity and thickness, larger removal rates yield lower concentrations deeper in the modeled tissue. The illustration is not a fitted experiment and cannot determine any drug’s therapeutic dose or safety. Extensions cover reversible binding, vascular exchange, heterogeneous tissue and numerical solution. Reported data, tissue-specific parameters and validation are essential before translating such calculations to clinical use. Foundational diffusion theory and published drug-transport studies support the modeling framework [1–4].
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References
[1] Crank, J. (1975). The Mathematics of Diffusion (2nd ed.). Clarendon Press, Oxford. https://staff.bath.ac.uk/ensdasr/PAPERS/Crank-The-Mathematics-of-Diffusion.pdf
[2] Higuchi, T. (1961). Rate of release of medicaments from ointment bases containing drugs in suspension. Journal of Pharmaceutical Sciences, 50(10), 874–875. https://doi.org/10.1002/jps.2600501018
[3] Siepmann, J., & Siepmann, F. (2012). Modeling of diffusion controlled drug delivery. Journal of Controlled Release, 161(2), 351–362. https://doi.org/10.1016/j.jconrel.2011.10.006
[4] Siepmann, J., et al. (2006). Local controlled drug delivery to the brain: Mathematical modeling of the underlying mass transport mechanisms. International Journal of Pharmaceutics, 314(2), 101–119. https://pubmed.ncbi.nlm.nih.gov/16647231/
Article type: explanatory mathematical review with a constructed steady-state example; no new clinical or experimental measurements are claimed.