电容感应
灵敏度(控制系统)
信号(编程语言)
线性范围
材料科学
压力传感器
光电子学
动态范围
压力敏感
探测理论
声学
纳米技术
生物医学工程
计算机科学
电子工程
检出限
化学
物理
医学
电信
计算机视觉
工程类
色谱法
机械工程
胶粘剂
图层(电子)
探测器
程序设计语言
操作系统
作者
Allen J. Cheng,Wenkai Chang,Zhuohan Cao,Bingnong Jiang,Yuansen Qiao,Sha Zhao,Shuai He,Chenglong Xu,Zeyad Nasa,Liao Wu,Dewei Chu,Shuhua Peng
出处
期刊:PubMed
日期:2025-09-12
卷期号:: e12439-e12439
标识
DOI:10.1002/advs.202512439
摘要
Soft super-capacitive sensors offer several advantages, including mechanical flexibility, high sensitivity, and rapid response, primarily due to the use of soft ionic elastomers and the electrical double layer (EDL) sensing mechanism. As for those sensors, achieving a broad linear pressure sensing range remains crucial, particularly when paired with a well-defined microstructure in the electrolyte layer, which enhances sensor repeatability and facilitates quality control. In this study, a novel design strategy is proposed to simultaneously enhance sensitivity and extend the linear sensing range by integrating a hierarchical dome microstructure within the electrolyte layer and incorporating a curvilinear design in the top electrode. Specifically, the optimized sensor shows an ultrahigh sensitivity (34.79 nF kPa-1), a wide linear sensing range (0-800 kPa), high pressure resolution (0.1%), and stable capacitance responses for dynamic pressure even at high pressure conditions (200 kPa). Moreover, the sensor is successfully examined to perform the detection of human bio-signals, including body movement, respiration pattern recognition, and wrist pulse detection. Additionally, the sensor demonstrates strong potential for serving as an electronic skin (e-skin), as it enables accurate object weight estimation and object identification through machine learning techniques, achieving 100% classification accuracy.
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