Effect of Electrode Structure on Glucose Monitoring by Reverse Iontophoresis

Continuous glucose monitoring (CGM) based on reverse iontophoresis (RI) offers a promising noninvasive solution for diabetes management. However, in the application of this technology, there are two key issues that affect the glucose detection results: the sensor sensitivity is gradually reduced due to the influence of the extraction current; the insufficient glucose extraction flux affects the accuracy of glucose prediction. We found that the electrode structure has a regulatory effect on these two types of influences. However, to date, there was no comprehensive or systematic investigation into the role of electrode structure in influencing the efficiency and accuracy of reverse iontophoresis-based glucose monitoring. This study investigated the impact of electrode structure on RI through multiphysics simulation, in vitro experiments, and human trials. By optimizing the spatial arrangement, spacing, shape, and position of the electrodes, the sensor sensitivity decline was minimized and the glucose extraction flux was maximized. Human trials verified the optimized design, achieving 74% of data points within the clinically accurate Clarke error grid A zone, with a mean absolute relative difference (MARD) of 13.17%, compared to 62 and 21.06% for the previous structure. These findings highlight the crucial role of electrode geometry in enhancing the accuracy of RI-based CGM.

Authors

Institutions

Publication Details

Journal
ACS Sensors
Published
2025-09-20
DOI
https://doi.org/10.1021/acssensors.5c02487
Primary Topic
Microfluidic and Capillary Electrophoresis Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of Electrode Structure on Glucose Monitoring by Reverse Iontophoresis

Youhao Liu, Wangwang Zhu, Zhihua Pu, Hao Zheng et al.
ACS Sensors
Microfluidic and Capillary Electrophoresis Applications
article

Effect of Electrode Structure on Glucose Monitoring by Reverse Iontophoresis

Youhao Liu, Wangwang Zhu, Zhihua Pu, Hao Zheng, Yuxuan Chen, Wen‐Jun Li, Xingguo Zhang, Fei Xie, Dachao Li, Jialing Wang
article en

Abstract

Continuous glucose monitoring (CGM) based on reverse iontophoresis (RI) offers a promising noninvasive solution for diabetes management. However, in the application of this technology, there are two key issues that affect the glucose detection results: the sensor sensitivity is gradually reduced due to the influence of the extraction current; the insufficient glucose extraction flux affects the accuracy of glucose prediction. We found that the electrode structure has a regulatory effect on these two types of influences. However, to date, there was no comprehensive or systematic investigation into the role of electrode structure in influencing the efficiency and accuracy of reverse iontophoresis-based glucose monitoring. This study investigated the impact of electrode structure on RI through multiphysics simulation, in vitro experiments, and human trials. By optimizing the spatial arrangement, spacing, shape, and position of the electrodes, the sensor sensitivity decline was minimized and the glucose extraction flux was maximized. Human trials verified the optimized design, achieving 74% of data points within the clinically accurate Clarke error grid A zone, with a mean absolute relative difference (MARD) of 13.17%, compared to 62 and 21.06% for the previous structure. These findings highlight the crucial role of electrode geometry in enhancing the accuracy of RI-based CGM.

ACS SensorsVol. 10(10)
Tianjin University (CN), Chinese PLA General Hospital (CN), Pulmonary and Critical Care Associates (US)
Openalex Percentile: Top 75%
Microfluidic and Capillary Electrophoresis Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.