Bioinspired Crystallization Refinement Strategy Enables Ion-Conductive Elastomers with an Ultra-Wide Strain-Insensitive Window for Reliable Signal Transmission and Adaptive Sensing

Abstract

Maintaining signal reliability under various strains is crucial for soft materials, but achieving strain-insensitive characteristics under high stretchability remains challenging. Here, we establish a crystallization-mediated regulation framework to achieve intrinsically strain-insensitive ion-conductive elastomers. Inspired by biomineralization, nanocellulose was introduced to regulate the crystallization of polycation chains to construct a continuous ion transport channel that is not affected by strain. The prepared ion-conductive elastomer (PUPD-0.50) has a strain-insensitive signal transmission fidelity window of up to 1100%, attributed to the “rigid-soft” conductive network containing refined crystal domains. Even at 1200% strain, the gauge factor (GF) value is as low as 0.12. Meanwhile, it exhibits ultrahigh stretchability (1256%), high toughness (17.16 MJ/m³), high ionic conductivity (1.22×10-2 S/m), and antibacterial properties. Additionally, its sensing applications in both contact and non-contact modes are successfully validated. The sensor can quickly output voltage signals by sensing the human electric field, with a response/recovery time as low as 60 ms. Remarkably, the output signal strength and response rate remain stable even under 500% strain, so it can stably transmit encrypted signals. This study provides an effective route to stabilize ionic transport, establishing a generalizable design paradigm for strain-insensitive ionic conductors in flexible electronics and human-machine interfaces.

Supplementary files

Article information

Article type
Communication
Submitted
06 Mar 2026
Accepted
01 Apr 2026
First published
02 Apr 2026

Mater. Horiz., 2026, Accepted Manuscript

Bioinspired Crystallization Refinement Strategy Enables Ion-Conductive Elastomers with an Ultra-Wide Strain-Insensitive Window for Reliable Signal Transmission and Adaptive Sensing

B. Huang, Z. Lv, M. Zhang, H. Liu, J. Liu, C. Liu, H. Li, L. Fu, B. Lin and C. Xu, Mater. Horiz., 2026, Accepted Manuscript , DOI: 10.1039/D6MH00423G

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