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A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device
Published on: November 24, 2016
Wearable sweat sensor system with dynamically adjustable sensitivity for simultaneous detection of multiple
Yunfan Pan1, Jinghao Huang2, Zhenhua Chen3
1College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China; Interdisciplinary Institute for Medical Engineering, Fuzhou University, Fuzhou, 350108, China.
Talanta
|June 10, 2026
Summary
This study introduces an adaptive wearable sweat sensor system capable of simultaneously monitoring multiple biomarkers like glucose and lactate. It dynamically adjusts sensitivity for a wider detection range in sports and health monitoring.
Area of Science:
- Biomedical Engineering
- Wearable Technology
- Biosensors
Background:
- Wearable sweat sensors are vital for sports and health monitoring but face challenges in simultaneously detecting multiple biomarkers and adapting sensitivity.
- Existing systems struggle with sweat's complex composition and wide biomarker concentration variations, limiting their detection range and utility.
Purpose of the Study:
- To develop an advanced wearable sweat sensor system with dynamic sensitivity adjustment and multi-biomarker detection capabilities.
- To overcome the limitations of current sweat monitoring technologies for comprehensive health and sports analytics.
Main Methods:
- Designed an adaptive amplification circuit with a switchable feedback resistor network transimpedance amplifier (TIA) for dynamic current sensitivity adjustment (10 nA to 2 mA).
- Implemented a time-division multiplexing strategy with a numerically controlled switch circuit and dual TIA channels for simultaneous multi-biomarker acquisition.
- Validated the system's performance through in vivo cycling experiments, monitoring glucose, lactate, Na+, and K+ in human sweat.
Main Results:
- Achieved dynamic sensitivity adjustment over a broad current range, significantly enhancing linear correlation coefficients for glucose (0.998) and lactate (0.995).
- Successfully demonstrated simultaneous, real-time monitoring of four key sweat biomarkers (glucose, lactate, Na+, K+) in human subjects during exercise.
- The proposed system effectively addresses the challenges of multi-biomarker detection and wide concentration variations in sweat analysis.
Conclusions:
- The developed adaptive sweat sensor system offers a robust solution for simultaneous multi-biomarker detection with a wide dynamic range.
- This technology holds significant potential for advancing personalized sports performance tracking and non-invasive health monitoring.
- The adaptive amplification and time-division multiplexing strategies provide a versatile platform for future wearable biosensor development.
