Groves, Rachel Beth, Coulman, Sion ORCID: https://orcid.org/0000-0002-1277-7584, Birchall, James Caradoc ORCID: https://orcid.org/0000-0001-8521-6924 and Evans, Samuel Lewin ORCID: https://orcid.org/0000-0003-3664-2569 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 |
Abstract
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 |
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Date Type: | Publication |
Status: | Published |
Schools: | Pharmacy Engineering 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 |
URI: | https://orca.cardiff.ac.uk/id/eprint/14051 |
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