Design of a Superhydrophobic Strain Sensor with a Multilayer Structure for Human Motion Monitoring

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

  • Wei-Chen Gao
  • Chang-Zhou Chen
  • Hui Zhao
  • Yang Liu
  • Qing Li
  • Chong-Xing Huang
  • Guo-hua Hu
  • Shuang-Fei Wang
  • Dean Shi
  • Qun-Chao Zhang

Detail(s)

Original languageEnglish
Pages (from-to)1874–1884
Journal / PublicationACS Applied Materials and Interfaces
Volume14
Issue number1
Online published23 Dec 2021
Publication statusPublished - 12 Jan 2022

Abstract

A flexible strain sensor is of significant importance in wearable electronics since it can help monitor the physical signals from the human body. Among various strain sensors, the polyurethane (PU)-based ones have received widespread attention owing to their excellent toughness, large working range, and nice gas permeability. However, the hydrophobicity of these sensors is not good enough, which may affect their use life and sensitivity. In this work, a high-performance strain sensor composed of PU, reduced graphene oxide (rGO), polydopamine (PDA), and 1H,1H,2H,2H-perfluorodecane-thiol (PFDT) was designed and prepared. The results revealed that this PU/rGO/PDA/PFDT device possessed good superhydrophobicity with a water contact angle of 153.3°, a wide working strain range of 590%, and an outstanding gauge factor as high as 221 simultaneously. Because of these above advantages, the sensor worked effectively in detecting both subtle and large human movements (such as joint motion, finger motion, and vocal cord vibration) even in a high humidity environment. This strain sensor with high sensitivity, wide working range, and suitable modulus may have great potential in the field of flexible and wearable electronics in the near future.

Research Area(s)

  • high sensitivity, large working range, polyurethane, strain sensor, superhydrophobicity

Citation Format(s)

Design of a Superhydrophobic Strain Sensor with a Multilayer Structure for Human Motion Monitoring. / Gao, Wei-Chen; Wu, Wei; Chen, Chang-Zhou et al.
In: ACS Applied Materials and Interfaces, Vol. 14, No. 1, 12.01.2022, p. 1874–1884.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review