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Sci Adv. 2019 Aug 16;5(8):eaaw9906. doi: 10.1126/sciadv.aaw9906. eCollection 2019 Aug.

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

Author information

1
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA.
2
Berkeley Sensor and Actuator Center, University of California, Berkeley, Berkeley, CA 94720, USA.
3
Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, Berkeley, CA 94720, USA.
4
VTT-Technical Research Centre of Finland, Kaitoväylä 1, FIN-90590 Oulu, Finland.
5
California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, CA 94720, USA.

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.

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