A Rational Design of Bio‐Derived Disulfide CANs for Wearable Capacitive Pressure Sensor

Author:

Yang Ding1,Zhao Kai1,Yang Rulin1,Zhou Shang‐Wu1,Chen Meng1,Tian He1,Qu Da‐Hui1ORCID

Affiliation:

1. Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering Feringa Nobel Prize Scientist Joint Research Center Frontiers Science Center for Materiobiology and Dynamic Chemistry Institute of Fine Chemicals School of Chemistry and Molecular Engineering East China University of Science and Technology 130 Meilong Road Shanghai 200237 China

Abstract

AbstractClassic approaches to integrate flexible capacitive sensor performance are to on‐demand microstructuring dielectric layers and to adjust dielectric material compositions via the introduction of insoluble carbon additives (to increase sensitivity) or dynamic interactions (to achieve self‐healing). However, the sensor's enhanced performances often come with increased material complexity, discouraging its circular economy. Herein, a new intrinsic self‐healable, closed‐loop recyclable dielectric layer material, a fully nature‐derived dynamic covalent poly(disulfide) decorated with rich H bonding and metal‐catechol complexations is introduced. The polymer network possesses a mechanically ductile character with an Arrhenius‐type temperature‐dependent viscoelasticity. The assembled capacitive pressure sensor is able to achieve a sensitivity of up to 9.26 kPa−1, fast response/recovery time of 32/24 ms, and can deliver consistent signals of continuous consecutive cycles even after being self‐healed or closed‐loop recycled for real‐time detection of human motions. This is expected to be of high interest for current capacitive sensing research to move toward a life‐like, high performance, and circular economy direction.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Science and Technology Commission of Shanghai Municipality

Publisher

Wiley

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3