Self‐Adaptable Ternary Eutectic Organogels with Ultrafast Gelation and High Resilience for Multimodal Sensing Coordination

ABSTRACT Flexible sensors that mimic human skin's tactile perception could replace humans in high‐risk tasks. Yet, current materials often suffer performance deterioration in harsh temperatures. While deep eutectic solvents (DESs)‐based polymer networks withstand extreme temperature, creating eutectic organogels that cure controllably and remain highly resilient remains a challenge. This study presents a novel ternary deep eutectic solvent organogel engineered via a competitive solvation strategy. By integrating boric acid into a polyacrylamide network and a glycerol/choline chloride‐based DES, the system utilizes competitive dynamic interactions to effectively minimize the interaction between the solvent and the solute. This design achieves ultrafast (3 s) and broadly tunable (3–180 s) gelation, exhibits exceptional resilience (∼102% strain recovery after 500% stretching, λ res‐3min‐intervel = 6.72%). Furthermore, this material possesses strong adhesiveness, wide temperature adaptability (−80°C to 90°C), superior conductivity (0.368 S m −1 ) and high temperature sensitivity (TCR = 1.886%°C −1 ). These superior comprehensive properties allow it to maintain conformal contact with objects and perform dual‐modal sensing of strain and temperatures. The response curve shows negligible electrical hysteresis, providing consistent output signals at the fixed strain. This work highlights the potential of this gel for applications in human health monitoring and human‐machine interaction.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-12-26
DOI
https://doi.org/10.1002/adfm.202522175
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self‐Adaptable Ternary Eutectic Organogels with Ultrafast Gelation and High Resilience for Multimodal Sensing Coordination

Tian Zhao, Rong Cai, Jiating Liu, Weiming Tang et al.
1 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
0.67
article

Self‐Adaptable Ternary Eutectic Organogels with Ultrafast Gelation and High Resilience for Multimodal Sensing Coordination

Tian Zhao, Rong Cai, Jiating Liu, Weiming Tang, Shuzhang Liao, Tao Li, Pengcheng Zhao, Ying Chen, Ziguang Zhao, Yi Chen, Jiawei Lu
article en
1 citations

Abstract

ABSTRACT Flexible sensors that mimic human skin's tactile perception could replace humans in high‐risk tasks. Yet, current materials often suffer performance deterioration in harsh temperatures. While deep eutectic solvents (DESs)‐based polymer networks withstand extreme temperature, creating eutectic organogels that cure controllably and remain highly resilient remains a challenge. This study presents a novel ternary deep eutectic solvent organogel engineered via a competitive solvation strategy. By integrating boric acid into a polyacrylamide network and a glycerol/choline chloride‐based DES, the system utilizes competitive dynamic interactions to effectively minimize the interaction between the solvent and the solute. This design achieves ultrafast (3 s) and broadly tunable (3–180 s) gelation, exhibits exceptional resilience (∼102% strain recovery after 500% stretching, λ res‐3min‐intervel = 6.72%). Furthermore, this material possesses strong adhesiveness, wide temperature adaptability (−80°C to 90°C), superior conductivity (0.368 S m −1 ) and high temperature sensitivity (TCR = 1.886%°C −1 ). These superior comprehensive properties allow it to maintain conformal contact with objects and perform dual‐modal sensing of strain and temperatures. The response curve shows negligible electrical hysteresis, providing consistent output signals at the fixed strain. This work highlights the potential of this gel for applications in human health monitoring and human‐machine interaction.

Advanced Functional Materials
Hangzhou Academy of Agricultural Sciences (CN), Hunan University of Technology (CN)
Openalex Percentile: Top 23%
Advanced Sensor and Energy Harvesting Materials
0.67
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.