Bioinspired Microspines for a High-Performance Spray Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub> MXene-Based Piezoresistive Sensor

Yongfa Cheng(Wuhan National Laboratory for Optoelectronics), Yanan Ma(Hubei University of Automotive Technology), Luying Li(Wuhan National Laboratory for Optoelectronics), Meng Zhu(Wuhan National Laboratory for Optoelectronics), Yang Yue(Wuhan National Laboratory for Optoelectronics), Weijie Liu(Wuhan National Laboratory for Optoelectronics), Longfei Wang(Wuhan National Laboratory for Optoelectronics), Shuangfeng Jia(Wuhan University), Chen Li(Wuhan National Laboratory for Optoelectronics), Tianyu Qi(Wuhan National Laboratory for Optoelectronics), Jianbo Wang(Wuhan University), Yihua Gao(Wuhan National Laboratory for Optoelectronics)
ACS Nano
February 10, 2020
Cited by 515

Abstract

Recently, wearable and flexible pressure sensors have sparked tremendous research interest, and considerable applications including human activity monitoring, biomedical research, and artificial intelligence interaction are reported. However, the large-scale preparation of low-cost, high-sensitivity piezoresistive sensors still face huge challenges. Inspired by the specific structures and excellent metal conductivity of a family of two-dimensional (2D) transition-metal carbides and nitrides (MXene) and the high-performance sensing effect of human skin including randomly distributed microstructural receptors, we fabricate a highly sensitive MXene-based piezoresistive sensor with bioinspired microspinous microstructures formed by a simple abrasive paper stencil printing process. The obtained piezoresistive sensor shows high sensitivity (151.4 kPa–1), relatively short response time (<130 ms), subtle pressure detection limit of 4.4 Pa, and excellent cycle stability over 10,000 cycles. The mechanism of the high sensitivity of the sensor is dynamically revealed from the structural perspective by means of in situ electron microscopy experiment and finite element simulation. Bioinspired microspinous microstructures can effectively improve the sensitivity of the pressure sensor and the limit of the detectable subtle pressure. In practice, the sensor shows great performance in monitoring human physiological signals, detecting quantitatively pressure distributions, and remote monitoring of intelligent robot motion in real time.


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