4.8 Article

Wearable biosensors for real-time sweat analysis and body motion capture based on stretchable fiber-based triboelectric nanogenerators

期刊

BIOSENSORS & BIOELECTRONICS
卷 205, 期 -, 页码 -

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2022.114115

关键词

Triboelectric nanogenerator; Wearable devices; Real-time sweat analysis; Body motion capture; Biosensors; Surface-triboelectric coupling effect

资金

  1. National Natural Science Foundation of China [61901249]
  2. Fundamental Research Funds for the Central Universities [N2105011]
  3. Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi [2019L0002]

向作者/读者索取更多资源

Wearable biosensors based on stretchable fiber-based triboelectric nanogenerators (F-TENG) allow for real-time sweat analysis and body motion capture. These devices are self-powered and exhibit high response rates, making them promising for various applications in the Internet of Things (IoT).
Carbon neutrality is a global green energy revolution meaning that the carbon dioxide can make ends meet. However, with the mushroom of the fifth generation wireless systems (5G) and the Internet of Things (IoT), it is a great challenge for powering the ubiquitous distributed devices, because the battery production and high overhead maintenance may bring more carbon emissions. Here, we present wearable biosensors for real-time sweat analysis and body motion capture based on stretchable fiber-based triboelectric nanogenerators (F-TENG). The F-TENG is made of stretchable conductive fiber (Ecoflex coating with polyaniline (PANI)) and varnished wires. Based on the coupling effect of triboelectric effect and enzymatic reaction (surface-triboelectric coupling effect), the wearable biosensors can not only precisely sense the motion states, but also detect glucose, creatinine and lactate acid in sweat in real-time. Importantly, the wearable devices can self-drive without any external power source and the response against glucose, creatinine and lactate acid can be up to 103%, 125% and 38%, respectively. On this basis, applications in biosensing and wireless communication have been demonstrated. This work exhibits a prospective potential application of F-TENG in IoT for diverse use.

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