Human joint enabled flexible self-sustainable sweat sensors

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

12 Scopus Citations
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Author(s)

  • Hu Li
  • Tianrui Chang
  • Yansong Gai
  • Kui Liang
  • Xinran Jiang
  • Yang Wang
  • Han Wu
  • Jian Li
  • Yiming Bai
  • Kai Geng
  • Nianrong Zhang
  • Hua Meng
  • Dongsheng Huang
  • Zhou Li
  • Lingqian Chang

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number106786
Journal / PublicationNano Energy
Volume92
Online published29 Nov 2021
Publication statusPublished - Feb 2022

Abstract

Flexible and wearable electronics have presented a wide range of advantages to non-invasive real-time human health monitoring. However, its remarkable energy consumption during continuous and long-time operation brings essential, practical challenges, which lead to growing recognition of exploring new and efficient energy strategies for wearables. Here, inspired by human joints as a biomechanical energy source that shows an ideal option for sustainable powers, we design a battery-free sweat sensing system integrated with sweat resistant self-sustainable energy supply and wireless communication interface, where piezoelectric nanogenerators (PENGs) efficiently converting biomechanical energy from freely movable joints (finger, cubital fossa and popliteal space) into electricity serving as the self-powering module. Physiological relevant parameters in sweat, including Na+, K+ and pH, are sensed and wirelessly transmitted to the user interface via Bluetooth communication. This system shows a paradigm of wearable electronics driven by human joints that demonstrated efficient self-sustainable energy supply and multiplexed physiological detection.

Research Area(s)

  • Flexible and wearable electronics, Human joints, Self-sustainable electronics, Sweat sensor, Wireless signal transmission

Citation Format(s)

Human joint enabled flexible self-sustainable sweat sensors. / Li, Hu; Chang, Tianrui; Gai, Yansong; Liang, Kui; Jiao, Yanli; Li, Dengfeng; Jiang, Xinran; Wang, Yang; Huang, Xingcan; Wu, Han; Liu, Yiming; Li, Jian; Bai, Yiming; Geng, Kai; Zhang, Nianrong; Meng, Hua; Huang, Dongsheng; Li, Zhou; Yu, Xinge; Chang, Lingqian.

In: Nano Energy, Vol. 92, 106786, 02.2022.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review