Mathematical modelling of drug delivery from pH-responsive nanocontainers. (April 2021)

• Record Type: Journal Article
• Authors: Pontrelli, G.; Toniolo, G.; McGinty, S.; Peri, D.; Succi, S.; Chatgilialoglu, C.
• Is Part Of: Computers in biology and medicine. Volume 131(2021)
• Publication Date: 2021-04
• Subjects: Drug release -- Nanocontainers -- pH-responsive systems -- Mathematical model -- Parametric identification -- Optimization -- Numerical methods; Medicine -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; 610.285
• DOI: 10.1016/j.compbiomed.2021.104238
• Languages: English
• ISSNs: 0010-4825

Abstract

Abstract: Targeted drug delivery systems represent a promising strategy to treat localised disease with minimum impact on the surrounding tissue. In particular, polymeric nanocontainers have attracted major interest because of their structural and morphological advantages and the variety of polymers that can be used, allowing the synthesis of materials capable of responding to the biochemical alterations of the environment. While experimental methodologies can provide much insight, the generation of experimental data across a wide parameter space is usually prohibitively time consuming and/or expensive. To better understand the influence of varying design parameters on the release profile and drug kinetics involved, appropriately-designed mathematical models are of great benefit. Here, we developed a continuum-scale mathematical model to describe drug transport within, and release from, a hollow nanocontainer consisting of a core and a pH-responsive polymeric shell. Our two-layer mathematical model accounts for drug dissolution and diffusion and includes a mechanism to account for trapping of drug molecules within the shell. We conduct a sensitivity analysis to assess the effect of varying the model parameters on the overall behaviour of the system. To demonstrate the usefulness of our model, we focus on the particular case of cancer treatment and calibrate the model against release profile data for two anti-cancer therapeutical agents. We show that the model is capable of capturing the experimentally observed pH-dependent release. Graphical abstract: Image 1 Highlights: - Ph-dependent drug release modelling from a two-layer spherical capsule. - Design of an algorithm for simulating mass transfer from a core-shell nanocontainer. - Validation against experimental data.