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Sweat-powered, skin-adhesive multimodal sensor for long-term and real-time sweat monitoring

*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Abstract

The importance of continuous healthcare management has significantly accelerated the development of wearable devices for monitoring health-related physical and biochemical markers. Despite extensive research on wearable devices for physiological and biochemical monitoring, critical issues of power management and device/skin interfacial properties restrict the advancement of personalized healthcare and early disease detection. Here, we report a multimodal sweat monitoring device featuring a real-time display and long-term data analysis based on self-powered format of sweat-activated batteries (SABs). The polyvinyl alcohol-sucrose (PVA-Suc) hydrogel serves as the key component for the SAB, offering not only great long-term adhesive properties for conformable wearability but also significant power generation capabilities. A maximum current density of 44.06 mA cm-2 and a maximum power density of 21.89 mW cm-2 can be realized for the hydrogel based SAB. The resulting device integrates an advanced colorimetric and electrochemical sensor array to measure pH levels, glucose concentrations, and chloride ion levels in human sweat, with data wirelessly transmitted by Near Field Communication. The self-powering features and multiple mode sensing function offer sufficient power to support real-time monitoring of metabolic biomarkers in sweat, with the ability to visually observe changes in the colorimetric sensors for long-term data monitoring. © 2024 The Author(s). BMEMat published by John Wiley & Sons Australia, Ltd on behalf of Shandong University.
Original languageEnglish
Article numbere12124
Number of pages14
JournalBMEMat
Volume3
Issue number1
Online published22 Oct 2024
DOIs
Publication statusPublished - Mar 2025

Funding

X.H., Z.L., X.H., Q.Z., and Y.Z. contributed equally to this work. This work was supported by National Natural Science Foundation of China (Grant no. 62122002), The City University of Hong Kong (Grant nos. 9667221, 9667246, 9680322, and 9667199), Research Grants Council of the Hong Kong Special Administrative Region (Grant nos. RFS2324-1S03, 11211523, 11213721, and 11215722), in part of the InnoHK Project on Project 2.2—AI-based 3D ultrasound imaging algorithm at Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE).

Research Keywords

  • adhesive hydrogel
  • healthcare management
  • sweat monitoring
  • sweat-activated batteries
  • wearable sensors

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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