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Neuron‐Inspired Self‐Powered Hydrogels with Excellent Adhesion, Recyclability and Dual‐Mode Output for Multifunctional Ionic Skin

Hydrogels are promising materials for electronic skin due to their flexibility and modifiability. Reported hydrogel electronic skins can recognize stimulations and output signals, but the single output signal and the requirement of external power source limit their further applications. In this stud...

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Bibliographic Details
Published in:Advanced functional materials 2023-06, Vol.33 (24), p.n/a
Main Authors: Wu, Ke, Cui, Yanyu, Song, Yaping, Ma, Zhiyan, Wang, Juan, Li, Juan, Fei, Teng, Zhang, Tong
Format: Article
Language:English
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Summary:Hydrogels are promising materials for electronic skin due to their flexibility and modifiability. Reported hydrogel electronic skins can recognize stimulations and output signals, but the single output signal and the requirement of external power source limit their further applications. In this study, inspired by the neuron system, the self‐powered neuron system‐like hydrogels based on gelatin, water/glycerin and ionic liquid modified metal organic frameworks (MOFs) are prepared. The optimized hydrogel exhibits excellent adhesion (40 kPa), stretchability (0%–100%), water retention (>92% at 0% relative humidity (RH) atmosphere), ionic conductivity (>10−3 S m−1) and stability (>30 days). Besides, the neuron system‐like hydrogels are highly sensitive to pressure (0—10 N) and humidity (0%–75% RH) with dual‐modal output, without external power source. Finally, the optimized hydrogel ionic skin is applied in human motion detection, energy harvesting, and low humidity sensing. This study provides a preliminary exploration of self‐powered ionic skin for multi‐application scenarios. Self‐powered neuron system‐like hydrogels based on gelatin, water/glycerin and ionic liquid modified metal organic frameworks are designed and prepared. The obtained hydrogels are highly sensitive to pressure and humidity with dual‐modal output, holding great potential in multifunctional applications.
ISSN:1616-301X
1616-3028
DOI:10.1002/adfm.202300239