• 文献标题:   Porous graphene foam composite-based dual-mode sensors for underwater temperature and subtle motion detection
  • 文献类型:   Article
  • 作  者:   CHEN X, LI RZ, NIU GY, XIN MY, XU GZ, CHENG HY, YANG L
  • 作者关键词:   laserinduced graphene foam composite, dualmode sensor, waterproof allweather condition, subtle motion detection
  • 出版物名称:   CHEMICAL ENGINEERING JOURNAL
  • ISSN:   1385-8947 EI 1873-3212
  • 通讯作者地址:  
  • 被引频次:   32
  • DOI:   10.1016/j.cej.2022.136631 EA APR 2022
  • 出版年:   2022

▎ 摘  要

Soft multimodal sensors in practical applications for health monitoring and human-machine interfaces require them to show sufficiently high sensitivity over wide sensing rages, rapid response and excellent durability, and waterproof property. Herein, we demonstrate a dual-mode sensor based on a porous graphene foam composite to achieve the aforementioned challenging yet attractive performance parameters for strain and temperature sensing. The resulting dual-mode sensor exhibits a strain sensitivity of 2212.5 in the wide piecewise linear range of 0-65%, a rapid response of 0.11 s, an ultralow detection limit of 0.0167%, and outstanding stability over 15,000 cycles. The sensor can also detect temperature with a high sensitivity of 0.97 x 10-2 degrees C -1 over a wide linear range of 10-185 degrees C and a small detection limit for sensing both low- and high-temperature environments. Taken together with the waterproof property, the dual-mode sensor can accurately monitor the large, small, and even subtle motions and temperature variations in both dry and underwater conditions. The capability to detect the subtle yet rapidly changing motions from distal arteries and skeletal muscles paves the way for the development of future soft multimodal, waterproof electronic sensing devices toward human-computer interaction, health monitoring and early disease prevention, and personalized medicine.