商用人造皮肤模型的力学特性。

Antony S. K. Kho, Steve Béguin, E. O’Cearbhaill, A. N. Annaidh
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引用次数: 1

摘要

了解皮肤的机械特性对于评估皮肤接口医疗设备的性能至关重要。人工皮肤模型(ASM)迅速获得关注,因为它们能够克服在道德上采购一致和具有代表性的离体动物或人体组织模型的挑战。尽管一些ASM已经商业化,但彻底了解皮肤模型的机械性能对于确保它们适合研究目的至关重要。在本研究中,ASM(Simulab®、LifeLike®、SynDaver®和Parafilm®)的皮肤和脂肪层通过硬度、针头插入、拉伸和压缩测试进行了机械表征。针插入试验研究了不同的边界约束条件(最小和高度约束),而拉伸试验期间通过不同的试样方向研究了皮肤模型的各向异性特性。进行方差分析(ANOVA)测试以比较皮肤模型之间的机械性能。将皮肤模型的特性与文献进行比较,以根据感兴趣的材料特性确定皮肤模型的适用性。所有皮肤模型都提供了相对一致的机械性能,为皮肤接口医疗设备性能的台式评估提供了坚实的基础。通过优先考虑具有与人类皮肤数据一致且方差有限的机械性能的模型,研究人员可以将此处提供的数据作为工具箱,为其特定应用选择最合适的ASM。
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Mechanical characterisation of commercial artificial skin models.
Understanding of the mechanical properties of skin is crucial in evaluating the performance of skin-interfacing medical devices. Artificial skin models (ASMs) have rapidly gained attention as they are able to overcome the challenges in ethically sourcing consistent and representative ex vivo animal or human tissue models. Although some ASMs have become commercialised, a thorough understanding of the mechanical properties of the skin models is crucial to ensure that they are suitable for the purpose of the study. In the present study, skin and fat layers of ASMs (Simulab®, LifeLike®, SynDaver® and Parafilm®) were mechanically characterised through hardness, needle insertion, tensile and compression testing. Different boundary constraint conditions (minimally and highly constrained) were investigated for needle insertion testing, while anisotropic properties of the skin models were investigated through different specimen orientations during tensile testing. Analysis of variance (ANOVA) tests were performed to compare the mechanical properties between the skin models. Properties of the skin models were compared against literature to determine the suitability of the skin models based on the material property of interest. All skin models offer relatively consistent mechanical performance, providing a solid basis for benchtop evaluation of skin-interfacing medical device performance. Through prioritising models with mechanical properties that are consistent with human skin data, and with limited variance, researchers can use the data presented here as a toolbox to select the most appropriate ASM for their particular application.
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