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Smart MXene-based Bioelectronic Devices as Wearable Self-powered Health Monitor for Sensing Human Physiological Signals
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  • Sancan Han,
  • Mingchen Zou,
  • Xinxin Pu,
  • Yifei Lu,
  • Yuecheng Tian,
  • Yi Liu,
  • Fangyu Wu,
  • Ningge Huang,
  • Enming Song,
  • Ding Wang
Sancan Han
University of Shanghai for Science and Technology
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Mingchen Zou
University of Shanghai for Science and Technology
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Xinxin Pu
University of Shanghai for Science and Technology
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Yifei Lu
Fudan University
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Yuecheng Tian
University of Shanghai for Science and Technology
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Yi Liu
University of Shanghai for Science and Technology
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Fangyu Wu
University of Shanghai for Science and Technology
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Ningge Huang
Fudan University
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Enming Song
Fudan University
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Ding Wang
University of Shanghai for Science and Technology

Corresponding Author:[email protected]

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Abstract

Biosafe wearable healthcare monitor has attracted significant attention owing to their applicability to wearable electronics. However, the narrow sensing range and poor response limit the application of flexible devices for comprehensive monitoring of human health-related physiological signals (i.e. pulse diagnosis). Critical challenges remain in the development of biocompatible materials and the design of flexible bio-integrated platforms for these purposes, targeting performance approaching those of conventional wafer-based technologies and long-term operational stability. In this context, this work presents a robust and flexible MXene/polydopamine (PDA)-composite-film-based pressure sensor in a portable/wearable fashion, which establishes a unique intercalated spherical-like PDA molecules structure, thereby resulting in excellent sensing performance. The MXene/PDA-based pressure sensor has sensitivity of up to 138.8 kPa-1 in the pressure range of 0.18-6.20 kPa with fast response and recovery speed (t1<100 ms; t2<50 ms). Associated embodiment involves real-time precise measurements of a variety of health-related physiological signals, ranging from wrist pulse, to finger motions, to vocalization and to facial expressions, with high sensitivity and accuracy. Studies on human subjects establish the clinical significance of these devices for future opportunities of health monitoring and intelligent control to predict and diagnose diseases.
16 Jan 2023Submitted to View
17 Jan 2023Submission Checks Completed
17 Jan 2023Assigned to Editor
17 Jan 2023Review(s) Completed, Editorial Evaluation Pending
31 Jan 2023Reviewer(s) Assigned
20 Feb 2023Editorial Decision: Revise Minor
01 Mar 20231st Revision Received
01 Mar 2023Submission Checks Completed
01 Mar 2023Assigned to Editor
01 Mar 2023Review(s) Completed, Editorial Evaluation Pending
07 Mar 2023Editorial Decision: Accept