Self-Healing Sensors Based on Dual Noncovalent Network Elastomer for Human Motion Monitoring

Abstract

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.

A self-healing sensor with dual noncovalent network design is prepared. Due to the supramolecular dual network design of hydrogen bonding interactions and metal–ligand coordination, the sensor exhibits ultrafast and repeatable self-healing ability with enhanced mechanical strength and stretchability. Benefitting from 3D conductive network construction, it also possesses high sensitivity for various small strains of human motion detections.

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