journal article·2026-07-08

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

Guotong Sun, Wenxin Fan, Hongen Chen, Weidong Gu, Kunyan Sui

ACS Applied Materials & Interfaces· Volume 18· Issue 26
Publisher page

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.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Advanced Materials and Mechanics · Dielectric materials and actuators

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Materials Science and Engineering, Key Laboratory of Marine Bio-Based Fibers of Shandong Province, Key Laboratory of Shandong Provincial Universities for Advanced Fibers and Composites

Qingdao University

Funding

Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China · Taishan Scholar Project of Shandong Province · State Key Laboratory of Bio-Fibers and Eco-Textiles · National Natural Science Foundation of China · Original Exploration Project of Qingdao City

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