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Title: Regional and correlative sweat analysis using high-throughput microfluidic sensing patches toward decoding sweat

Abstract

Recent technological advancements in wearable sensors have made it easier to detect sweat components, but our limited understanding of sweat restricts its application. A critical bottleneck for temporal and regional sweat analysis is achieving uniform, high-throughput fabrication of sweat sensor components, including microfluidic chip and sensing electrodes. To overcome this challenge, we introduce microfluidic sensing patches mass fabricated via roll-to-roll (R2R) processes. The patch allows sweat capture within a spiral microfluidic for real-time measurement of sweat parameters including [Na+], [K+], [glucose], and sweat rate in exercise and chemically induced sweat. The patch is demonstrated for investigating regional sweat composition, predicting whole-body fluid/electrolyte loss during exercise, uncovering relationships between sweat metrics, and tracking glucose dynamics to explore sweat-to-blood correlations in healthy and diabetic individuals. By enabling a comprehensive sweat analysis, the presented device is a crucial tool for advancing sweat testing beyond the research stage for point-of-care medical and athletic applications.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2];  [2]; ORCiD logo [3];  [2]; ORCiD logo [3]; ORCiD logo [4];  [5];  [5]; ORCiD logo [2];  [3]; ORCiD logo [2]; ORCiD logo [5];  [1];  [2]; 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. VTT-Technical Research Centre of Finland, Oulu (Finland)
  3. Univ. of California, Berkeley, CA (United States). Dept. of Electrical Engineering and Computer Sciences
  4. Univ. of California, Berkeley, CA (United States). California Inst. for Quantitative Biosciences (QB3)
  5. Univ. of California, Berkeley, CA (United States). Dept. of Electrical Engineering and Computer Sciences; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Materials Sciences Division
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division; National Science Foundation (NSF)
OSTI Identifier:
1638993
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Science Advances
Additional Journal Information:
Journal Volume: 5; Journal Issue: 8; Journal ID: ISSN 2375-2548
Publisher:
AAAS
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION

Citation Formats

Nyein, Hnin Yin Yin, Bariya, Mallika, Kivimäki, Liisa, Uusitalo, Sanna, Liaw, Tiffany Sun, Jansson, Elina, Ahn, Christine Heera, Hangasky, John A., Zhao, Jiangqi, Lin, Yuanjing, Happonen, Tuomas, Chao, Minghan, Liedert, Christina, Zhao, Yingbo, Tai, Li-Chia, Hiltunen, Jussi, and Javey, Ali. Regional and correlative sweat analysis using high-throughput microfluidic sensing patches toward decoding sweat. United States: N. p., 2019. Web. doi:10.1126/sciadv.aaw9906.
Nyein, Hnin Yin Yin, Bariya, Mallika, Kivimäki, Liisa, Uusitalo, Sanna, Liaw, Tiffany Sun, Jansson, Elina, Ahn, Christine Heera, Hangasky, John A., Zhao, Jiangqi, Lin, Yuanjing, Happonen, Tuomas, Chao, Minghan, Liedert, Christina, Zhao, Yingbo, Tai, Li-Chia, Hiltunen, Jussi, & Javey, Ali. Regional and correlative sweat analysis using high-throughput microfluidic sensing patches toward decoding sweat. United States. https://doi.org/10.1126/sciadv.aaw9906
Nyein, Hnin Yin Yin, Bariya, Mallika, Kivimäki, Liisa, Uusitalo, Sanna, Liaw, Tiffany Sun, Jansson, Elina, Ahn, Christine Heera, Hangasky, John A., Zhao, Jiangqi, Lin, Yuanjing, Happonen, Tuomas, Chao, Minghan, Liedert, Christina, Zhao, Yingbo, Tai, Li-Chia, Hiltunen, Jussi, and Javey, Ali. Fri . "Regional and correlative sweat analysis using high-throughput microfluidic sensing patches toward decoding sweat". United States. https://doi.org/10.1126/sciadv.aaw9906. https://www.osti.gov/servlets/purl/1638993.
@article{osti_1638993,
title = {Regional and correlative sweat analysis using high-throughput microfluidic sensing patches toward decoding sweat},
author = {Nyein, Hnin Yin Yin and Bariya, Mallika and Kivimäki, Liisa and Uusitalo, Sanna and Liaw, Tiffany Sun and Jansson, Elina and Ahn, Christine Heera and Hangasky, John A. and Zhao, Jiangqi and Lin, Yuanjing and Happonen, Tuomas and Chao, Minghan and Liedert, Christina and Zhao, Yingbo and Tai, Li-Chia and Hiltunen, Jussi and Javey, Ali},
abstractNote = {Recent technological advancements in wearable sensors have made it easier to detect sweat components, but our limited understanding of sweat restricts its application. A critical bottleneck for temporal and regional sweat analysis is achieving uniform, high-throughput fabrication of sweat sensor components, including microfluidic chip and sensing electrodes. To overcome this challenge, we introduce microfluidic sensing patches mass fabricated via roll-to-roll (R2R) processes. The patch allows sweat capture within a spiral microfluidic for real-time measurement of sweat parameters including [Na+], [K+], [glucose], and sweat rate in exercise and chemically induced sweat. The patch is demonstrated for investigating regional sweat composition, predicting whole-body fluid/electrolyte loss during exercise, uncovering relationships between sweat metrics, and tracking glucose dynamics to explore sweat-to-blood correlations in healthy and diabetic individuals. By enabling a comprehensive sweat analysis, the presented device is a crucial tool for advancing sweat testing beyond the research stage for point-of-care medical and athletic applications.},
doi = {10.1126/sciadv.aaw9906},
journal = {Science Advances},
number = 8,
volume = 5,
place = {United States},
year = {2019},
month = {8}
}

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