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Modelling smart drug release with functionally graded materials

Articolo
Data di Pubblicazione:
2023
Abstract:
Functionally graded materials (FGMs), possessing properties that vary smoothly from one region to another, have been receiving increasing attention in recent years, particularly in the aerospace, automotive and biomedical sectors. However, they have yet to reach their full potential. In this paper, we explore the potential of FGMs in the context of drug delivery, where the unique material characteristics offer the potential of finetuning drug-release for the desired application. Specifically, we develop a mathematical model of drug release from a thin film FGM, based upon a spatially-varying drug diffusivity. We demonstrate that, depending on the functional form of the diffusivity (related to the material properties) a wide range of drug release profiles may be obtained. Interestingly, the shape of these release profiles are not, in general, achievable from a homogeneous medium with a constant diffusivity.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
drug delivery; smart materials; mathematical models; numerical methods
Elenco autori:
Bretti, Gabriella; Pontrelli, Giuseppe
Autori di Ateneo:
BRETTI GABRIELLA
PONTRELLI GIUSEPPE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/462034
Pubblicato in:
COMPUTERS IN BIOLOGY AND MEDICINE
Journal
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URL

https://authors.elsevier.com/sd/article/S0010-4825(23)00759-X
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