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Effect of Electrode Structure on Glucose Monitoring by Reverse Iontophoresis
Hao Zheng1, Youhao Liu1, Wenjun Li1
1State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China.
Optimizing electrode structure in noninvasive continuous glucose monitoring (CGM) using reverse iontophoresis (RI) significantly improves accuracy. This enhancement minimizes sensor sensitivity loss and maximizes glucose extraction for better diabetes management.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Diabetes Technology
Background:
- Noninvasive continuous glucose monitoring (CGM) using reverse iontophoresis (RI) is crucial for diabetes management.
- Key challenges include reduced sensor sensitivity and insufficient glucose extraction flux, impacting accuracy.
- The influence of electrode structure on RI performance has not been systematically investigated.
Purpose of the Study:
- To comprehensively investigate the impact of electrode structure on reverse iontophoresis (RI) efficiency and accuracy for CGM.
- To optimize electrode design to enhance glucose monitoring performance.
- To validate the optimized design through in vitro experiments and human trials.
Main Methods:
- Multiphysics simulation to model iontophoresis.
- In vitro experiments to assess sensor performance.
- Human trials to evaluate clinical accuracy of the optimized CGM device.
- Systematic variation of electrode spatial arrangement, spacing, shape, and position.
Main Results:
- Optimized electrode geometry minimized sensor sensitivity decline and maximized glucose extraction flux.
- Human trials demonstrated improved accuracy with 74% of data points in the Clarke error grid A zone.
- The optimized design achieved a mean absolute relative difference (MARD) of 13.17%, a significant improvement over the previous structure (21.06%).
Conclusions:
- Electrode structure plays a critical role in the efficiency and accuracy of RI-based CGM.
- Optimized electrode design enhances noninvasive glucose monitoring, offering a more reliable solution for diabetes management.
- This study provides a foundation for developing more accurate and effective noninvasive glucose sensors.
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