Hou Yuxin, Wang Lei, Sun Ran, Zhang Yuanao, Gu Mengxi, Zhu Yuanhao, Tong Yubo, Liu Xunyu, Wang Zhixun, Xia Juan, Hu Yougen, Wei Lei, Yang Chunlei, Chen Ming
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People's Republic of China.
University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China.
ACS Nano. 2022 May 24;16(5):8358-8369. doi: 10.1021/acsnano.2c02609. Epub 2022 Apr 29.
Flexible pressure sensors with high sensitivity over a broad pressure range are highly desired, yet challenging to build to meet the requirements of practical applications in daily activities and more significant in some extreme environments. This work demonstrates a thin, lightweight, and high-performance pressure sensor based on flexible porous phenyl-silicone/functionalized carbon nanotube (PS/FCNT) film. The formed crack-across-pore endows the pressure sensor with high sensitivity of 19.77 kPa and 1.6 kPa in the linear range of 0-33 kPa and 0.2-2 MPa, respectively, as well as ultralow detection limit (∼1.3 Pa). Furthermore, the resulting pressure sensor possesses a low fatigue over 4000 loading/unloading cycles even under a high pressure of 2 MPa and excellent durability (>6000 cycles) after heating at high temperature (200 °C), attributed to the strong chemical bonding between PS and FCNT, excellent mechanical stability, and high temperature resistance of PS/FCNT film. These superior properties set a foundation for applying the single sensor device in detecting diverse stimuli from the very low to high pressure range, including weak airflow, sway, vibrations, biophysical signal monitoring, and even car pressure. Besides, a deep neural network based on transformer (TRM) has been engaged for human action recognition with an overall classification rate of 94.96% on six human actions, offering high accuracy in real-time practical scenarios.
人们迫切需要在很宽的压力范围内具有高灵敏度的柔性压力传感器，但要制造出满足日常活动实际应用要求的传感器却具有挑战性，在某些极端环境中更是如此。这项工作展示了一种基于柔性多孔苯基硅氧烷/功能化碳纳米管（PS/FCNT）薄膜的薄型、轻质且高性能的压力传感器。形成的跨孔裂纹使压力传感器在0 - 33 kPa和0.2 - 2 MPa的线性范围内分别具有19.77 kPa和1.6 kPa的高灵敏度，以及超低检测限（约1.3 Pa）。此外，所得压力传感器即使在2 MPa的高压下经过4000次加载/卸载循环仍具有低疲劳性，在高温（200°C）加热后具有出色的耐久性（>6000次循环），这归因于PS和FCNT之间的强化学键合、优异的机械稳定性以及PS/FCNT薄膜的高耐热性。这些优异性能为将单个传感器装置应用于检测从极低到高压范围内的各种刺激奠定了基础，包括微弱气流、晃动、振动、生物物理信号监测，甚至汽车压力。此外，基于变压器（TRM）的深度神经网络已用于人类动作识别，在六种人类动作上的总体分类率为94.96%，在实时实际场景中提供了高精度。
