4.7 Article

Printable and Wearable Graphene-Based Strain Sensor With High Sensitivity for Human Motion Monitoring

期刊

IEEE SENSORS JOURNAL
卷 22, 期 14, 页码 13937-13944

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2022.3180081

关键词

Graphene; printing; strain sensor; motion monitoring; wearable electronics

资金

  1. National Natural Science Foundation of China [52173192]
  2. National Key Research and Development Program of China [2017YFA0206600]
  3. Science and Technology Innovation Program of Hunan Province [2020RC4004]
  4. Special Funding for the Construction of Innovative Provinces in Hunan Province [2020GK2024]
  5. State Key Laboratory of Materials Processing and Die & Mould Technology, Huazhong University of Science and Technology

向作者/读者索取更多资源

A simple and environmentally friendly high-performance strain sensor based on graphene/thermoplastic polyurethane (TPU) composite is reported. The sensor shows low detection limit, high sensitivity, and broad sensing range, making it suitable for practical applications.
Wearable strain sensors are appealing for monitoring human activities and evaluating human health. However, the development of wearable strain sensors with high sensitivity, large-scale manufacturing ability as well as the using of eco-friendly raw materials is still challenging. In this work, a simple and environmentally friendly high-performance strain sensor based on graphene/thermoplastic polyurethane (TPU) composite is reported. The green solvent dihydrolevoglucosenone (Cyrene) was used to dissolve and disperse TPU and graphene to make conductive ink, and the graphene/TPU composite film was embedded in the polydimethylsiloxane (PDMS) matrix by stencil printing and transfer process. The optimized sensor showed a very low detection limit (strain 0.1 %), high sensitivity (GF > 3905) and broad sensing range (0 - 82.4 %). Moreover, the sensor remains stable under 5,000 times of loading/unloading cycles, with outstanding fatigue resistance and long-term durability. Additionally, a series of human motion monitoring applications were demonstrated, indicating their great potential in practical applications.

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