Ion‐Conducting Photonic Crystal Elastomers for Wearable Body Motion Sensing

Abstract Ion‐conductive photonic crystal elastomers (ic‐PCEs) uniquely combine stimuli‐responsive color changes with electrical feedback, enabling transformative applications in wearable electronics and adaptive camouflage. However, their fabrication methods are limited. Here, a scalable swelling–deswelling approach is presented to fabricate ic‐PCEs by diffusing ionic liquids into pre‐assembled PCEs. When swelling, the polymer matrix is initially dilated to create intermolecular spaces, facilitating homogeneous ionic liquid diffusion. Once diffusion is complete, hydrogen bonding stabilizes the ionic liquid within the matrix, forming a conductive network beyond a threshold concentration. At ∼50 wt% ionic liquid content, the ic‐PCEs exhibit high ionic conductivity (∼0.46 mS cm −1 ) and a ∼55% enhancement in color brightness. The ic‐PCEs are highly stretchable, with a rapid recovery time (∼170 ms) and reversible color and electrical resistance responses to strain. Under 50% strain, the material shows a color shift from red to bluish‐green, a ∼20% decrease in reflection wavelength, and a ∼135% change in electrical resistance. Exceptional thermal stability and durability further ensure reliable performance. The potential of ic‐PCEs as wearable motion sensors applied to fingers and joints is demonstrated, showcasing their multifunctionality. This work provides a robust route for scalable ic‐PCE fabrication, opening new opportunities for advanced wearable devices and adaptive materials.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-10-29
DOI
https://doi.org/10.1002/adfm.202424503
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ion‐Conducting Photonic Crystal Elastomers for Wearable Body Motion Sensing

Tong An, Feng Gao, Xingyi Huang, Xinyu Jiang et al.
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
article

Ion‐Conducting Photonic Crystal Elastomers for Wearable Body Motion Sensing

Tong An, Feng Gao, Xingyi Huang, Xinyu Jiang, Tongxiang Fan, Junjun Qiu, Pengli Li, Qibin Zhao
article en

Abstract

Abstract Ion‐conductive photonic crystal elastomers (ic‐PCEs) uniquely combine stimuli‐responsive color changes with electrical feedback, enabling transformative applications in wearable electronics and adaptive camouflage. However, their fabrication methods are limited. Here, a scalable swelling–deswelling approach is presented to fabricate ic‐PCEs by diffusing ionic liquids into pre‐assembled PCEs. When swelling, the polymer matrix is initially dilated to create intermolecular spaces, facilitating homogeneous ionic liquid diffusion. Once diffusion is complete, hydrogen bonding stabilizes the ionic liquid within the matrix, forming a conductive network beyond a threshold concentration. At ∼50 wt% ionic liquid content, the ic‐PCEs exhibit high ionic conductivity (∼0.46 mS cm −1 ) and a ∼55% enhancement in color brightness. The ic‐PCEs are highly stretchable, with a rapid recovery time (∼170 ms) and reversible color and electrical resistance responses to strain. Under 50% strain, the material shows a color shift from red to bluish‐green, a ∼20% decrease in reflection wavelength, and a ∼135% change in electrical resistance. Exceptional thermal stability and durability further ensure reliable performance. The potential of ic‐PCEs as wearable motion sensors applied to fingers and joints is demonstrated, showcasing their multifunctionality. This work provides a robust route for scalable ic‐PCE fabrication, opening new opportunities for advanced wearable devices and adaptive materials.

Advanced Functional MaterialsVol. 35(47)
Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 69%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.