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Reusable Liquid Metal-Based Hierarchical Hydrogels with Multifunctional Sensing Capability for Electrophysiology
Jingjiang Wei1,2, Hao Chen1, Fei Pan3
1Institute for Advanced Study, Chengdu University, Chengdu 610106, P. R. China.
ACS Nano
|April 21, 2025
Summary
This study introduces a novel liquid metal-based hydrogel for stable electrophysiological signal collection during exercise. This advanced hydrogel offers superior adhesion and conductivity, enabling reliable health monitoring and gesture recognition.
Area of Science:
- Biomedical Engineering
- Materials Science
- Wearable Technology
Background:
- Traditional Ag/AgCl gels for electrophysiological monitoring suffer from skin interface interference during physical activity, leading to unstable signal collection.
- This instability hinders reliable health monitoring and rehabilitation assessments, particularly during movement.
Purpose of the Study:
- To develop a novel electrode material that overcomes the limitations of current Ag/AgCl gels for stable electrophysiological signal acquisition.
- To create a hydrogel-based electrode with enhanced adhesion, self-healing, stretchability, and conductivity for real-time physiological monitoring.
Main Methods:
- Design and synthesis of a liquid metal-based hierarchical hydrogel with tailored rheological and adhesive properties.
- Fabrication of electrode patches using the developed hydrogel for electrophysiological signal collection.
- Assembly of a strain sensor using the conductive hydrogel for monitoring limb movements and gesture recognition.
Main Results:
- The liquid metal-based hydrogel demonstrated excellent adhesion, self-healing, stretchability, and conductivity.
- A conformal electrode/skin interface was achieved, enabling stable electrophysiological signal acquisition during exercise.
- The hydrogel-based strain sensor effectively monitored human limb movements and facilitated remote intelligent gesture recognition.
Conclusions:
- The developed liquid metal-based hierarchical hydrogel offers a promising solution for stable electrophysiological signal acquisition during physical activities.
- This technology provides a foundation for next-generation intelligent hydrogels for personal health surveillance, rehabilitation monitoring, and wearable human-machine interaction.

