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Quantifying the mechanical properties of human skin to optimise future microneedle device design

Groves, Rachel Beth, Coulman, Sion ORCID:, Birchall, James Caradoc ORCID: and Evans, Samuel Lewin ORCID: 2012. Quantifying the mechanical properties of human skin to optimise future microneedle device design. Computer Methods in Biomechanics and Biomedical Engineering 15 (1) , pp. 73-82. 10.1080/10255842.2011.596481

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Microneedle devices are a promising minimally invasive means of delivering drugs/vaccines across or into the skin. However, there is currently a diversity of microneedle designs and application methods that have, primarily, been intuitively developed by the research community. To enable the rational design of optimised microneedle devices, a greater understanding of human skin biomechanics under small deformations is required. This study aims to develop a representative stratified model of human skin, informed by in vivo data. A multilayer finite element model incorporating the epidermis, dermis and hypodermis was established. This was correlated with a series of in-vivo indentation measurements, and the Ogden material coefficients were optimised using a material parameter extraction algorithm. The finite element simulation was subsequently used to model microneedle application to human skin before penetration and was validated by comparing these predictions with the in-vivo measurements. Our model has provided an excellent tool to predict micron-scale human skin deformation in vivo and is currently being used to inform optimised microneedle designs.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Pharmacy
Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects: R Medicine > RL Dermatology
T Technology > T Technology (General)
Uncontrolled Keywords: microneedle ; human skin ; finite element analysis ; inverse methods ; Ogden model of hyperelasticity ; multilayer
Additional Information: Special Issue: Identification of material parameters through inverse finite element modelling
Publisher: Taylor & Francis
ISSN: 1025-5842
Last Modified: 03 Dec 2022 11:41

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