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A Biomass-Inspired Hydrogel Patch for Intelligent Pain Monitoring and On-Demand Analgesia
Yibin Lin1, Yan Wu2, Haiting Fan2
1School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, China.
Research (Washington, D.C.)
|February 13, 2026
Summary
A new biomass-derived hydrogel patch integrates pain sensing and treatment. This wearable device uses AI for accurate pain assessment and delivers on-demand therapy, offering a promising solution for effective pain management.
Area of Science:
- Biomaterials Science
- Wearable Technology
- Pain Management
Background:
- Current pain assessment methods are invasive or subjective, limiting home-based monitoring.
- Development of sustainable, biomass-derived interfaces for real-time pain management is crucial.
Purpose of the Study:
- To fabricate a multifunctional, biomass-inspired hydrogel patch for integrated pain sensing and on-demand treatment.
- To evaluate the patch's performance in objective pain assessment and therapeutic efficacy.
Main Methods:
- Fabrication of a polydopamine-based hydrogel patch (polyvinyl alcohol/polyacrylamide/lithium chloride/polydopamine/lidocaine hydrochloride).
- Characterization of the patch's physical, mechanical, and electrical properties.
- In vivo testing using a mouse pain model and clinical evaluation with patients.
Main Results:
- The hydrogel patch demonstrated excellent stretchability, adhesion, conductivity, and self-healing properties.
- AI-powered pain signal monitoring achieved ~100% accuracy in human subjects.
- The patch provided prolonged photothermal analgesia in an animal model with no skin irritation.
Conclusions:
- A novel wearable hydrogel patch offers AI-assisted pain assessment and on-demand therapy.
- This biomass-derived patch presents a promising intelligent solution for objective and prospective pain management.
- The technology facilitates advanced, non-invasive pain monitoring and treatment strategies.
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