4.8 Article

Utilizing Gradient Porous Graphene Substrate as the Solid-Contact Layer To Enhance Wearable Electrochemical Sweat Sensor Sensitivity

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NANO LETTERS
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出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.nanolett.2c01969

关键词

chemical vapor deposition; graphene; sweat sensing; wearable electronics; electrochemistry; ion-selective electrodes

资金

  1. Key-Area Research and Development Program of Guangdong Province [2020B0101030002]
  2. National Natural Science Foundation of China [62101475]
  3. Research Grant Council of Hong Kong [24201020, 14207421]
  4. Research Matching Grant Scheme of Hong Kong Government [8601547]
  5. Wuyi University-Hongkong-Macao Joint Research Funds [2019WGALH19]

向作者/读者索取更多资源

Wearable sweat monitoring is an attractive opportunity for personalized healthcare and sports performance evaluation, but is limited by the formation of water layers on ion-selective sensors. This report introduces the use of three-dimensional graphene-based electrodes to reduce water layer formation and improve the sensitivity of detecting Na+ ions in sweat.
Wearable sweat monitoring represents an attractive opportunity for personalized healthcare and for evaluating sports performance. One of the limitations with such monitoring, however, is water layer formation upon cycling of ion-selective sensors, leading to degraded sensitivity and long-term instability. Our report is the first to use chemical vapor deposition grown, three-dimensional, graphene-based, gradient porous electrodes to minimize such water layer formation. The proposed design reduces the ion diffusion path within the polymeric ion-selective membrane and enhances the electroactive surface for highly sensitive, real-time detection of Na+ ions in human sweat with high selectivity. We obtained a 7-fold enhancement in electroactive surface against 2D electrodes (e.g., carbon, gold), yielding a sensitivity of 65.1 +/- 0.25 mV decade-1 (n = 3, RSD = 0.39%), the highest to date for wearable Na+ sweat sensors. The on-body sweat sensing performance is comparable to that of ICP-MS, suggesting its feasibility for health evaluation through sweat.

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