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Title: Glove-based sensors for multimodal monitoring of natural sweat

Abstract

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.

Authors:
ORCiD logo [1];  [1]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Univ. of California, Berkeley, CA (United States). Dept. of Electrical Engineering and Computer Sciences and Berkeley Sensor and Actuator Center; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Materials Sciences Division
  2. Univ. of California, Berkeley, CA (United States). Dept. of Electrical Engineering and Computer Sciences
Publication Date:
Research Org.:
Univ. of California, Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1816091
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Science Advances
Additional Journal Information:
Journal Volume: 6; Journal Issue: 35; Journal ID: ISSN 2375-2548
Publisher:
AAAS
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING

Citation Formats

Bariya, Mallika, Li, Lu, Ghattamaneni, Rahul, Ahn, Christine Heera, Nyein, Hnin Yin Yin, Tai, Li-Chia, and Javey, Ali. Glove-based sensors for multimodal monitoring of natural sweat. United States: N. p., 2020. Web. doi:10.1126/sciadv.abb8308.
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. United States. https://doi.org/10.1126/sciadv.abb8308
Bariya, Mallika, Li, Lu, Ghattamaneni, Rahul, Ahn, Christine Heera, Nyein, Hnin Yin Yin, Tai, Li-Chia, and Javey, Ali. Fri . "Glove-based sensors for multimodal monitoring of natural sweat". United States. https://doi.org/10.1126/sciadv.abb8308. https://www.osti.gov/servlets/purl/1816091.
@article{osti_1816091,
title = {Glove-based sensors for multimodal monitoring of natural sweat},
author = {Bariya, Mallika and Li, Lu and Ghattamaneni, Rahul and Ahn, Christine Heera and Nyein, Hnin Yin Yin and Tai, Li-Chia and Javey, Ali},
abstractNote = {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.},
doi = {10.1126/sciadv.abb8308},
journal = {Science Advances},
number = 35,
volume = 6,
place = {United States},
year = {Fri Aug 28 00:00:00 EDT 2020},
month = {Fri Aug 28 00:00:00 EDT 2020}
}

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