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Advanced approaches for quantitative characterization of thermal transport properties in soft materials using thin, conformable resistive sensors
Noninvasive methods for precise characterization of the thermal properties of soft biological tissues such as the skin can yield vital details about physiological health status including at critical intervals during recovery following skin injury. Here, we introduce quantitative measurement and char...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435340/ https://www.ncbi.nlm.nih.gov/pubmed/30923731 http://dx.doi.org/10.1016/j.eml.2018.04.002 |
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author | Crawford, Kaitlyn E. Ma, Yinji Krishnan, Siddharth Wei, Chen Capua, Daniel Xue, Yeguang Xu, Shuai Xie, Zhaoqian Won, Sang Min Tian, Limei Webb, Chad Li, Yajing Feng, Xue Huang, Yonggang Rogers, John A. |
author_facet | Crawford, Kaitlyn E. Ma, Yinji Krishnan, Siddharth Wei, Chen Capua, Daniel Xue, Yeguang Xu, Shuai Xie, Zhaoqian Won, Sang Min Tian, Limei Webb, Chad Li, Yajing Feng, Xue Huang, Yonggang Rogers, John A. |
author_sort | Crawford, Kaitlyn E. |
collection | PubMed |
description | Noninvasive methods for precise characterization of the thermal properties of soft biological tissues such as the skin can yield vital details about physiological health status including at critical intervals during recovery following skin injury. Here, we introduce quantitative measurement and characterization methods that allow rapid, accurate determination of the thermal conductivity of soft materials using thin, skin-like resistive sensor platforms. Systematic evaluations of skin at eight different locations and of six different synthetic skin-mimicking materials across sensor sizes, measurement times, and surface geometries (planar, highly curvilinear) validate simple scaling laws for data interpretation and parameter extraction. As an example of the possibilities, changes in the thermal properties of skin (volar forearm) can be monitored during recovery from exposure to ultraviolet radiation (sunburn) and to stressors associated with localized heating and cooling. More generally, the results described here facilitate rapid, non-invasive thermal measurements on broad classes of biological and non-biological soft materials. |
format | Online Article Text |
id | pubmed-6435340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-64353402019-03-26 Advanced approaches for quantitative characterization of thermal transport properties in soft materials using thin, conformable resistive sensors Crawford, Kaitlyn E. Ma, Yinji Krishnan, Siddharth Wei, Chen Capua, Daniel Xue, Yeguang Xu, Shuai Xie, Zhaoqian Won, Sang Min Tian, Limei Webb, Chad Li, Yajing Feng, Xue Huang, Yonggang Rogers, John A. Extreme Mech Lett Article Noninvasive methods for precise characterization of the thermal properties of soft biological tissues such as the skin can yield vital details about physiological health status including at critical intervals during recovery following skin injury. Here, we introduce quantitative measurement and characterization methods that allow rapid, accurate determination of the thermal conductivity of soft materials using thin, skin-like resistive sensor platforms. Systematic evaluations of skin at eight different locations and of six different synthetic skin-mimicking materials across sensor sizes, measurement times, and surface geometries (planar, highly curvilinear) validate simple scaling laws for data interpretation and parameter extraction. As an example of the possibilities, changes in the thermal properties of skin (volar forearm) can be monitored during recovery from exposure to ultraviolet radiation (sunburn) and to stressors associated with localized heating and cooling. More generally, the results described here facilitate rapid, non-invasive thermal measurements on broad classes of biological and non-biological soft materials. 2018-05-03 2018-07 /pmc/articles/PMC6435340/ /pubmed/30923731 http://dx.doi.org/10.1016/j.eml.2018.04.002 Text en This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Crawford, Kaitlyn E. Ma, Yinji Krishnan, Siddharth Wei, Chen Capua, Daniel Xue, Yeguang Xu, Shuai Xie, Zhaoqian Won, Sang Min Tian, Limei Webb, Chad Li, Yajing Feng, Xue Huang, Yonggang Rogers, John A. Advanced approaches for quantitative characterization of thermal transport properties in soft materials using thin, conformable resistive sensors |
title | Advanced approaches for quantitative characterization of thermal transport properties in soft materials using thin, conformable resistive sensors |
title_full | Advanced approaches for quantitative characterization of thermal transport properties in soft materials using thin, conformable resistive sensors |
title_fullStr | Advanced approaches for quantitative characterization of thermal transport properties in soft materials using thin, conformable resistive sensors |
title_full_unstemmed | Advanced approaches for quantitative characterization of thermal transport properties in soft materials using thin, conformable resistive sensors |
title_short | Advanced approaches for quantitative characterization of thermal transport properties in soft materials using thin, conformable resistive sensors |
title_sort | advanced approaches for quantitative characterization of thermal transport properties in soft materials using thin, conformable resistive sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435340/ https://www.ncbi.nlm.nih.gov/pubmed/30923731 http://dx.doi.org/10.1016/j.eml.2018.04.002 |
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