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An Ultrasoft Initiator-Free Eutectogel for Strain Sensing and Gesture Recognition Assisted by Machine Learning.

Chao Qin^1,2, Zhuomin Li³, Hanqiang Liu¹

¹School of Materials Science and Engineering, Ludong University, Yantai 264025, China.

Langmuir : the ACS Journal of Surfaces and Colloids

|June 12, 2026

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Researchers developed a green, initiator-free hydrogel for wearable sensors using a deep eutectic solvent. This novel material offers enhanced performance and safety for human-machine interaction and health monitoring applications.

Area of Science:

Materials Science
Polymer Chemistry
Wearable Technology

Background:

Traditional hydrogel sensors face limitations like water loss, freezing, and toxic initiators, posing safety concerns.
Internet of Things (IoT) and artificial intelligence (AI) drive demand for advanced flexible wearable sensors.
Existing hydrogel preparation methods often lack environmental friendliness and biological safety.

Purpose of the Study:

To develop a green, initiator-free polymerization strategy for hydrogels.
To create a novel eutectogel with improved properties for wearable sensors.
To demonstrate the potential of this hydrogel in human-machine interaction and health monitoring.

Main Methods:

Utilized a deep eutectic solvent system of choline chloride (ChCl) and D-sorbitol.

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Employed ultraviolet (UV) irradiation to initiate free radical polymerization of acrylamide without toxic initiators.

Fabricated flexible strain sensors using the prepared eutectogel.

Main Results:

Achieved initiator-free polymerization of acrylamide.
The eutectogel demonstrated high transparency (≈96%), elasticity, antifreezing capabilities, breathability, and adhesion.
The strain sensor exhibited high sensitivity, a wide detection range, and fatigue resistance.
A sensor system combined with machine learning accurately recognized Curwen gestures (98.5% accuracy).

Conclusions:

The proposed green, initiator-free strategy offers a safe and reliable method for developing intelligent wearable devices.
The eutectogel-based sensors show significant potential for applications in human-machine interaction, health monitoring, and intelligent music education.
This research advances environmentally friendly approaches in wearable electronics.