Literature DB >> 33618104

Mathematical modelling of drug delivery from pH-responsive nanocontainers.

G Pontrelli1, G Toniolo2, S McGinty3, D Peri4, S Succi5, C Chatgilialoglu6.   

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. Crown
Copyright © 2021. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Drug release; Mathematical model; Nanocontainers; Numerical methods; Optimization; Parametric identification; pH-responsive systems

Year:  2021        PMID: 33618104     DOI: 10.1016/j.compbiomed.2021.104238

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  2 in total

1.  Characterization of the Shells in Layer-By-Layer Nanofunctionalized Particles: A Computational Study.

Authors:  E Barchiesi; T Wareing; L Desmond; A N Phan; P Gentile; G Pontrelli
Journal:  Front Bioeng Biotechnol       Date:  2022-06-30

Review 2.  Nanocellulose-Based Composite Materials Used in Drug Delivery Systems.

Authors:  Ying Huo; Yingying Liu; Mingfeng Xia; Hong Du; Zhaoyun Lin; Bin Li; Hongbin Liu
Journal:  Polymers (Basel)       Date:  2022-06-29       Impact factor: 4.967

  2 in total

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