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Epidermal Patch with Glucose Biosensor: pH and Temperature Correction toward More Accurate Sweat Analysis during
Alexander Wiorek1, Marc Parrilla1, María Cuartero1
1Department of Chemistry, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Teknikringen 30, SE-100 44 Stockholm, Sweden.
This study introduces a novel epidermal patch for sweat glucose analysis, featuring real-time pH and temperature correction for reliable, on-body measurements. This wearable biosensor offers a significant advancement for digital health and sports monitoring.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Wearable Technology
Background:
- Enzymatic biosensors are crucial for glucose monitoring but sensitive to pH and temperature.
- Existing wearable glucose sensors lack real-time correction for dynamic physiological changes.
- Accurate sweat glucose analysis is vital for sports performance and healthcare.
Purpose of the Study:
- To develop a wearable epidermal patch for accurate, real-time glucose analysis in sweat.
- To implement a novel correction approach for pH and temperature fluctuations during on-body measurements.
- To validate the performance of the wearable glucose sensor through a rigorous two-step protocol.
Main Methods:
- Fabrication of a flexible skin patch with an integrated microfluidic cell and electrodes (glucose, pH, temperature).
- Development of a dynamic correction approach to adjust calibration parameters based on real-time sweat pH and temperature.
- Two-step validation using UV-vis spectrometry and ion chromatography for both off- and on-body measurements.
Main Results:
- The glucose biosensor demonstrated a linear response (10-200 μM) with fast response time, selectivity, and reversibility.
- On-body tests showed reliable glucose detection through dynamic pH and temperature correction.
- The developed correction approach significantly enhances measurement accuracy during physical activity.
Conclusions:
- The wearable epidermal patch provides a reliable method for sweat glucose monitoring during physical activity.
- The novel pH and temperature correction approach is key to accurate, real-time physiological data digitalization.
- This technology has the potential to advance next-generation wearable devices for sports and healthcare applications.
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