A hierarchical tuning strategy for continuously adjustable phase-transition ionic conductors toward multimodal sensing

Abstract

Conventional phase-transition ionic conductors (PTICs) based on ionic liquids (ILs) suffer from a fixed resistance-switching temperature (TRS), intrinsically limited by the immutable melting point of ILs, which restricts their applications in scenarios requiring specific thermal triggers. Herein, we propose a general hierarchical strategy to achieve continuous and precise regulation of TRS. This is accomplished by leveraging the well-defined relationship between the melting temperature (Tm) of polyethylene glycol (PEG) and its molecular weight (Mn) for coarse adjustment, followed by fine-tuning via blending with lower-Mn PEG or incorporating a plasticizer, succinonitrile (SN). The resulting PEG/PDES-Li-based PTICs enable wide-range tuning of Tm and TRS from 37 to 59 °C with a precision of ∼1 °C. The optimized conductor (PTIC-4) demonstrates an ultrahigh negative temperature coefficient of resistance (TCR) of −7.64% °C−1 within 30–40 °C, allowing for the detection of subtle temperature variations. Moreover, the material undergoes a reversible transparent-to-opaque transition at TRS, facilitating intuitive visual thermometry. Beyond temperature sensing, the conductor also functions as a high-performance strain sensor for monitoring human joint motions and even Morse code communication. This work establishes a versatile platform and a general design principle for the development of intelligent wearable devices, medical monitoring systems, and human–computer interaction interfaces.

Graphical abstract: A hierarchical tuning strategy for continuously adjustable phase-transition ionic conductors toward multimodal sensing

Supplementary files

Article information

Article type
Communication
Submitted
09 Dec 2025
Accepted
03 Feb 2026
First published
05 Feb 2026

J. Mater. Chem. C, 2026, Advance Article

A hierarchical tuning strategy for continuously adjustable phase-transition ionic conductors toward multimodal sensing

L. Zhou, J. Huang, D. Wang, X. Sun, D. Tang, L. Li, D. He, G. Qin and T. Ye, J. Mater. Chem. C, 2026, Advance Article , DOI: 10.1039/D5TC04316F

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