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

  • Hnin Yin Yin Nyein
  • , Mallika Bariya
  • , Liisa Kivimäki
  • , Sanna Uusitalo
  • , Tiffany Sun Liaw
  • , Elina Jansson
  • , Christine Heera Ahn
  • , John A. Hangasky
  • , Jiangqi Zhao
  • , Yuanjing Lin
  • , Tuomas Happonen
  • , Minghan Chao
  • , Christina Liedert
  • , Yingbo Zhao
  • , Li Chia Tai
  • , Jussi Hiltunen
  • , Ali Javey*
  • *Corresponding author for this work
    • University of California System
    • Lawrence Berkeley National Laboratory (LBNL)
    • California Institute for Quantitative Biosciences (QB3)

    Research output: Contribution to journalArticleScientificpeer-review

    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.
    Original languageEnglish
    Article numbereaaw9906
    Number of pages13
    JournalScience advances
    Volume5
    Issue number8
    DOIs
    Publication statusPublished - 16 Aug 2019
    MoE publication typeA1 Journal article-refereed

    Funding

    This work was supported by the NSF Nanomanufacturing Systems for Mobile.

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