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Glove-based sensors for multimodal monitoring of natural sweat
Sweat sensors targeting exercise or chemically induced sweat have shown promise for noninvasive health monitoring. Natural thermoregulatory sweat is an attractive alternative as it can be accessed during routine and sedentary activity without impeding user lifestyles and potentially preserves correl...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455190/ https://www.ncbi.nlm.nih.gov/pubmed/32923646 http://dx.doi.org/10.1126/sciadv.abb8308 |
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author | Bariya, Mallika Li, Lu Ghattamaneni, Rahul Ahn, Christine Heera Nyein, Hnin Yin Yin Tai, Li-Chia Javey, Ali |
author_facet | Bariya, Mallika Li, Lu Ghattamaneni, Rahul Ahn, Christine Heera Nyein, Hnin Yin Yin Tai, Li-Chia Javey, Ali |
author_sort | Bariya, Mallika |
collection | PubMed |
description | Sweat sensors targeting exercise or chemically induced sweat have shown promise for noninvasive health monitoring. Natural thermoregulatory sweat is an attractive alternative as it can be accessed during routine and sedentary activity without impeding user lifestyles and potentially preserves correlations between sweat and blood biomarkers. We present simple glove-based sensors to accumulate natural sweat with minimal evaporation, capitalizing on high sweat gland densities to collect hundreds of microliters in just 30 min without active sweat stimulation. Sensing electrodes are patterned on nitrile gloves and finger cots for in situ detection of diverse biomarkers, including electrolytes and xenobiotics, and multiple gloves or cots are worn in sequence to track overarching analyte dynamics. Direct integration of sensors into gloves represents a simple and low-overhead scheme for natural sweat analysis, enabling sweat-based physiological monitoring to become practical and routine without requiring highly complex or miniaturized components for analyte collection and signal transduction. |
format | Online Article Text |
id | pubmed-7455190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-74551902020-09-11 Glove-based sensors for multimodal monitoring of natural sweat Bariya, Mallika Li, Lu Ghattamaneni, Rahul Ahn, Christine Heera Nyein, Hnin Yin Yin Tai, Li-Chia Javey, Ali Sci Adv Research Articles Sweat sensors targeting exercise or chemically induced sweat have shown promise for noninvasive health monitoring. Natural thermoregulatory sweat is an attractive alternative as it can be accessed during routine and sedentary activity without impeding user lifestyles and potentially preserves correlations between sweat and blood biomarkers. We present simple glove-based sensors to accumulate natural sweat with minimal evaporation, capitalizing on high sweat gland densities to collect hundreds of microliters in just 30 min without active sweat stimulation. Sensing electrodes are patterned on nitrile gloves and finger cots for in situ detection of diverse biomarkers, including electrolytes and xenobiotics, and multiple gloves or cots are worn in sequence to track overarching analyte dynamics. Direct integration of sensors into gloves represents a simple and low-overhead scheme for natural sweat analysis, enabling sweat-based physiological monitoring to become practical and routine without requiring highly complex or miniaturized components for analyte collection and signal transduction. American Association for the Advancement of Science 2020-08-28 /pmc/articles/PMC7455190/ /pubmed/32923646 http://dx.doi.org/10.1126/sciadv.abb8308 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Bariya, Mallika Li, Lu Ghattamaneni, Rahul Ahn, Christine Heera Nyein, Hnin Yin Yin Tai, Li-Chia Javey, Ali Glove-based sensors for multimodal monitoring of natural sweat |
title | Glove-based sensors for multimodal monitoring of natural sweat |
title_full | Glove-based sensors for multimodal monitoring of natural sweat |
title_fullStr | Glove-based sensors for multimodal monitoring of natural sweat |
title_full_unstemmed | Glove-based sensors for multimodal monitoring of natural sweat |
title_short | Glove-based sensors for multimodal monitoring of natural sweat |
title_sort | glove-based sensors for multimodal monitoring of natural sweat |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455190/ https://www.ncbi.nlm.nih.gov/pubmed/32923646 http://dx.doi.org/10.1126/sciadv.abb8308 |
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