Highly Sensitive Capacitive Flexible Pressure Sensor Based on a High-Permittivity MXene Nanocomposite and 3D Network Electrode for Wearable Electronics

电容感应 材料科学 数码产品 电容 压力传感器 光电子学 可穿戴计算机 电极 介电常数 灵敏度(控制系统) 电介质 可穿戴技术 电气工程 电子工程 声学 计算机科学 机械工程 工程类 化学 物理化学 嵌入式系统 物理
作者
Long Zhang,Shaohui Zhang,Chao Wang,Quan Zhou,Haifeng Zhang,Ge‐Bo Pan
出处
期刊:ACS Sensors [American Chemical Society]
卷期号:6 (7): 2630-2641 被引量:92
标识
DOI:10.1021/acssensors.1c00484
摘要

With the fast development of consumer electronic and artificial intelligence equipment, flexible pressure sensors (FPSs) have become a momentous component in the application of wearable electronic, electronic skin, and human–machine interfacing. The capacitive FPS possesses the merits of low energy consumption, high resolution, and fast dynamic response, so it is ideal for mobile and wearable electronics. However, capacitive FPS is vulnerable to electromagnetic interference and parasitic capacitance due to its low sensitivity. Microstructure or porous dielectric materials have been applied to improve the sensitivity of the capacitive FPS, but the high sensitivity is just limited to a narrow region. In this work, we propose a different strategy that incorporates a high-permittivity MXene nanocomposite dielectric with a 3D network electrode (3DNE) to improve the sensing performance of the capacitive FPS. Thanks to the high permittivity of the dielectric layer and hierarchical deformation of the electrode, the fabricated capacitive FPS exhibits a high sensitivity of 10.2 kPa–1 in the low pressure range (0–8.6 kPa) and still maintains a relatively high sensitivity of 3.65 kPa–1 with a near-linear response in a wide pressure range (8.6–100 kPa). In addition, the capacitive FPS can withstand over 20,000 times pressure loads without significant signal damping. Furthermore, the working mechanism of the capacitive FPS is illustrated by the finite element analysis (FEA) method and theoretical calculation. The application potential of the sensor in wearable electronics was demonstrated by human pulse wave monitoring and pressure mapping tests with a 4 × 6 sensor microarray.
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