Brittle Star‐Inspired Composites With Excellent Tribopositivity, Tensile Properties, and Self‐Healing Capability for Self‐Powered Flexible Sensors

Self-powered sensing devices for human-machine interaction suffer from poor mechanical robustness, fragile structural stability, and fluctuating sensing signals under cyclic deformation, severely restricting their long-term operational reliability. Integrating self-healing functionality into triboelectric substrates is an effective approach to address these bottlenecks, but it remains challenging to simultaneously realize superior stretchability, steady electrical output, and efficient self-healing performance in a single material system. Inspired by the arm structure of brittle stars, a waterborne polyurethane (WPU) incorporating dynamic disulfide and hydrogen bonds was fabricated, and the hydrogen-bonding interfacial network between MXene and WPU was tailored. A composite system enabling synergistic multilevel energy dissipation through reversible dynamic bonds and disulfide exchange was therefore constructed. The resulting MXene/WPU (M-WPU) composite film exhibits a tensile strength of 14.7 MPa, an elongation at break of 970%, a triboelectric output of 14 µA, and a self-healing efficiency of 89% after thermal healing at 100°C for 12 h. The flexible sensor assembled from this M-WPU film, integrated with machine learning, enables accurate handwriting recognition and human-machine interaction. Notably, after macroscopic crack self-healing, the M-WPU can still maintain stable electrical signal output, offering novel design insights for the development of long-life, highly reliable self-powered flexible sensors.

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Publication Details

Journal
Small Methods
Published
2026-10-09
DOI
https://doi.org/10.1002/smtd.71107
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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article

Brittle Star‐Inspired Composites With Excellent Tribopositivity, Tensile Properties, and Self‐Healing Capability for Self‐Powered Flexible Sensors

Hongyun Zhao, Ganlin Fang, Guoquan Ding, Bin Luo et al.
Small Methods
Advanced Sensor and Energy Harvesting Materials
article

Brittle Star‐Inspired Composites With Excellent Tribopositivity, Tensile Properties, and Self‐Healing Capability for Self‐Powered Flexible Sensors

Hongyun Zhao, Ganlin Fang, Guoquan Ding, Bin Luo, Yuying Li, Kejin Jiang, Shanshan Dong, Zhihui Yan, Peng Li, Qingshan Duan, Zhenming Chen
article en

Abstract

Self-powered sensing devices for human-machine interaction suffer from poor mechanical robustness, fragile structural stability, and fluctuating sensing signals under cyclic deformation, severely restricting their long-term operational reliability. Integrating self-healing functionality into triboelectric substrates is an effective approach to address these bottlenecks, but it remains challenging to simultaneously realize superior stretchability, steady electrical output, and efficient self-healing performance in a single material system. Inspired by the arm structure of brittle stars, a waterborne polyurethane (WPU) incorporating dynamic disulfide and hydrogen bonds was fabricated, and the hydrogen-bonding interfacial network between MXene and WPU was tailored. A composite system enabling synergistic multilevel energy dissipation through reversible dynamic bonds and disulfide exchange was therefore constructed. The resulting MXene/WPU (M-WPU) composite film exhibits a tensile strength of 14.7 MPa, an elongation at break of 970%, a triboelectric output of 14 µA, and a self-healing efficiency of 89% after thermal healing at 100°C for 12 h. The flexible sensor assembled from this M-WPU film, integrated with machine learning, enables accurate handwriting recognition and human-machine interaction. Notably, after macroscopic crack self-healing, the M-WPU can still maintain stable electrical signal output, offering novel design insights for the development of long-life, highly reliable self-powered flexible sensors.

Small Methods
Guangxi University (CN), Chinese Academy of Sciences (CN), Changchun Institute of Applied Chemistry (CN), Hezhou University (CN)
Openalex Percentile: Top 24%
Advanced Sensor and Energy Harvesting Materials
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