Porous graphene foam composite-based dual-mode sensors for underwater temperature and subtle motion detection

材料科学 灵敏度(控制系统) 石墨烯 复合数 声学 复合材料 水下 多孔性 计算机科学 纳米技术 电子工程 工程类 物理 海洋学 地质学
作者
Xue Chen,Runze Li,Guangyu Niu,Mingyang Xin,Guizhi Xu,Huanyu Cheng,Li Yang
出处
期刊:Chemical Engineering Journal [Elsevier]
卷期号:444: 136631-136631 被引量:107
标识
DOI:10.1016/j.cej.2022.136631
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 × 10-2 °C -1 over a wide linear range of 10–185 °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.
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