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Self‐Healing Sensors Based on Dual Noncovalent Network Elastomer for Human Motion Monitoring
Author(s) -
Cao Jie,
Zhang Xu,
Lu Canhui,
Luo Yongyue,
Zhang Xinxing
Publication year - 2017
Publication title -
macromolecular rapid communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.348
H-Index - 154
eISSN - 1521-3927
pISSN - 1022-1336
DOI - 10.1002/marc.201700406
Subject(s) - materials science , elastomer , nanotechnology , fabrication , self healing , supramolecular chemistry , computer science , composite material , chemistry , medicine , alternative medicine , pathology , crystal structure , crystallography
Nowadays, it is still a challenge to prepare flexible sensors with great mechanical strength, stretchability, high sensitivities, and excellent self‐healing (SH) abilities. Herein, a nanostructured supramolecular elastomer is reported with a dual noncovalent network of hydrogen bonding interactions and metal–ligand coordination. The resultant flexible sensor presents ultrafast (30 s), autonomous, and repeatable SH ability with high healing efficiency (80% after the 3rd healing process), as well as enhanced mechanical properties. Benefitting from the 3D conductive network, the sensor exhibits high electrical sensitivity and very low detection limit (0.2% strain). As a result, the flexible sensor is capable of precisely monitoring small strains of human motions (such as vocal‐cord vibration), and exhibits reproducible and recognizable current signals after cutting–healing process. The dual noncovalent network design proposed here opens up a new opportunity for scalable fabrication of high performance SH sensors and other electronic devices.