Ultralarge Curvature and Extreme Rapid Degradable Porous Wood Based Flexible Triboelectric Sensor for Physical Motion Monitoring

Sheng Bi, Xu Han, Qiangqiang Chen, Buhan Gao, Luhua Chen, Zhengran He, Chengming Jiang

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Flexible self-power triboelectric nanogenerators (TENGs) have attracted worldwide attention in the fields of optoelectronic systems, communication, and biomedical diagnostics due to its outstanding energy collection capacity and high output potential. Wood, as a natural and environmental friendly material with excellent mechanical properties, is an ideal material for construction of high performance TENG. Herein, a porous wood based flexible triboelectric sensor (PWFTS) as a wearable motion testing system with ultralarge folding curvature and extreme high stability for real-time body motion monitoring is presented. With an over 180° curving angle, the output power of the PWFTS from porous wood is more than 200% compared with that from natural wood. Moreover, a rapid degradation of as low as 48 h with extremely reliable repeatability and stability leads to an ideal candidate for wearable devices. The enhancement of such PWFTS may open up opportunities in innovative applications in various triboelectric devices and flexible integrated systems.

Original languageEnglish (US)
Article number2201066
JournalAdvanced Materials Technologies
Volume8
Issue number5
DOIs
StatePublished - Mar 10 2023

All Science Journal Classification (ASJC) codes

  • General Materials Science
  • Mechanics of Materials
  • Industrial and Manufacturing Engineering

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