Gradient-Microstructure Synergy for Self-Powered Ionic Skins with Ultrahigh Sensitivity

In the era of the Internet of Things and artificial intelligence, energy-efficient self-powered ionic skins are urgently needed, yet existing ionic skins suffer from limited sensitivity, resulting in poor ability to detect subtle pressure changes. Herein, we report a versatile gradient-microstructure synergy (GMS) strategy to engineer ionogels with both charge gradients and surface wrinkles, enabling self-powered ionic skins with ultrahigh sensitivity. The sharp charge gradient and surface wrinkles are sequentially constructed via a facile ultraviolet-initiated radical polymerization and a stretching/coordinating/releasing method, respectively. The sharp charge gradient endows the ionic skin with outstanding self-powered sensing capability, which, together with the wrinkled surface, substantially enhances sensitivity by amplifying interfacial potential variation between the wrinkled gradient ionogel and the electrodes. Consequently, the as-prepared wrinkled gradient ionic skins operate in self-powered mode with an ultrahigh sensitivity of 368.32 kPa –1, far surpassing that of previously reported self-powered ionic skins. The self-powered ionic skins also exhibit exceptional sensing stability and outstanding mechanical properties, enabling real-time detection of various human motions, physiological activities, and subtle mechanical vibrations. The proposed GMS strategy thus offers a robust platform for the rational design and scalable fabrication of high-performance self-powered ionic skins, facilitating their practical deployment.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2026-06-25
DOI
https://doi.org/10.1021/acsami.6c07269
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Gradient-Microstructure Synergy for Self-Powered Ionic Skins with Ultrahigh Sensitivity

Kunyan Sui, Jianzhang Li, Hongen Chen, Wenxin Fan et al.
ACS Applied Materials & Interfaces
Advanced Sensor and Energy Harvesting Materials
article

Gradient-Microstructure Synergy for Self-Powered Ionic Skins with Ultrahigh Sensitivity

Kunyan Sui, Jianzhang Li, Hongen Chen, Wenxin Fan, Guotong Sun
article en

Abstract

In the era of the Internet of Things and artificial intelligence, energy-efficient self-powered ionic skins are urgently needed, yet existing ionic skins suffer from limited sensitivity, resulting in poor ability to detect subtle pressure changes. Herein, we report a versatile gradient-microstructure synergy (GMS) strategy to engineer ionogels with both charge gradients and surface wrinkles, enabling self-powered ionic skins with ultrahigh sensitivity. The sharp charge gradient and surface wrinkles are sequentially constructed via a facile ultraviolet-initiated radical polymerization and a stretching/coordinating/releasing method, respectively. The sharp charge gradient endows the ionic skin with outstanding self-powered sensing capability, which, together with the wrinkled surface, substantially enhances sensitivity by amplifying interfacial potential variation between the wrinkled gradient ionogel and the electrodes. Consequently, the as-prepared wrinkled gradient ionic skins operate in self-powered mode with an ultrahigh sensitivity of 368.32 kPa –1, far surpassing that of previously reported self-powered ionic skins. The self-powered ionic skins also exhibit exceptional sensing stability and outstanding mechanical properties, enabling real-time detection of various human motions, physiological activities, and subtle mechanical vibrations. The proposed GMS strategy thus offers a robust platform for the rational design and scalable fabrication of high-performance self-powered ionic skins, facilitating their practical deployment.

ACS Applied Materials & Interfaces
Qingdao University (CN), University of Jinan (CN)
National Natural Science Foundation of China, Taishan Scholar Project of Shandong Province, State Key Laboratory of Bio-Fibers and Eco-Textiles, Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China
Affordable and clean energy
Openalex Percentile: Top 12%
Advanced Sensor and Energy Harvesting Materials
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