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Published on: November 24, 2016
Wearable and Multimodal Electrochemical Hydrogel Sensor for Real-Time Non-Invasive Sweat Glucose Monitoring
Yilin Liang1,2, Tianjun Zhou1,2, Jiarui Liu1,2
1School of Materials Science and Engineering, Ludong University, Yantai, Shandong 264025, China.
Analytical Chemistry
|July 16, 2026
Summary
This study presents a flexible hydrogel sensor for noninvasive sweat glucose monitoring. The advanced gold nanorod composite offers high sensitivity and anti-interference for real-time health management.
Area of Science:
- Biomedical Engineering
- Materials Science
- Electrochemistry
Background:
- Noninvasive sweat glucose monitoring is crucial for real-time health management.
- Existing methods face challenges in sensitivity and stability.
- Flexible electrochemical sensors offer a promising alternative.
Purpose of the Study:
- To develop a flexible electrochemical sensor platform for noninvasive sweat glucose monitoring.
- To utilize a gold nanorods@polylysine-glucose oxidase (AuNRs@PLL-GOx) composite hydrogel.
- To achieve highly sensitive and multimode detection of sweat glucose.
Main Methods:
- Fabrication of a flexible hydrogel sensor using AuNRs@PLL-GOx composite.
- Utilizing polylysine (PLL) for enhanced glucose oxidase (GOx) immobilization and charge transport.
- Integration of differential pulse voltammetry (DPV), cyclic voltammetry (CV), and chronoamperometry (i-t) for multimode detection.
Main Results:
- The sensor demonstrated a wide detection range (up to 160 μM) and a low detection limit (3.71 μM).
- The AuNRs@PLL-GOx hydrogel exhibited excellent anti-interference capabilities.
- Improved electron-transfer efficiency and analytical performance were achieved through synergistic detection techniques.
Conclusions:
- The developed hydrogel-based sensor platform enables noninvasive, highly sensitive sweat glucose monitoring.
- The integration of multiple electrochemical techniques enhances detection accuracy and reliability.
- This platform shows significant potential for future wearable biosensors and smart healthcare systems.

