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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...

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Autores principales: Bariya, Mallika, Li, Lu, Ghattamaneni, Rahul, Ahn, Christine Heera, Nyein, Hnin Yin Yin, Tai, Li-Chia, Javey, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
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.
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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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