An Ant-Nest-Structured Wearable Sensor with pH Calibration for Reliable Monitoring of Sweat Glucose

Sweat glucose detected by wearable sensors can serve as a potential reference factor for diabetes management. However, inefficient sweat collection and fluctuating sweat pH hinder the precise detection of glucose. Herein, we designed a wearable sensing system comprising an ant-nest-structured sensor and a pH-responsive microchannel with multiple sweat inlets to continuously and accurately monitor the glucose level in sweat. Compared with the traditional planar electrode, this internally interconnected biomimetic structure provided a large number of accessible pores for contact with glucose molecules and electrolytes, remarkably decreasing the diffusion resistance. Furthermore, due to the formation of adjacent distributed cascade sensing units, the electron transmission distance from the catalytic center to the electrode surface was shortened, and the inoperative diffusion of H<sub>2</sub>O<sub>2</sub> in the sensor was also weakened. The microchannel could convey the perspiration from the epidermis to the sensing zone within 250 s, while the coated pH indicator in the microchannel monitors the liquid's pH in a colorimetric zone. As a result, our wearable sensor integrated with a pH-responsive microchannel accurately tracked the change of glucose levels in sweat before and after a diet, displaying reliable results after calibration similar to those of commercial colorimetric kits. In addition, a longitudinal investigation of the relationship between blood and sweat glucose from healthy people and diabetic patients revealed a good correlation in glucose between the two. Wearable biosensors for real-time noninvasive analysis of glucose in sweat may significantly facilitate diabetes management at home.

Authors

Institutions

Publication Details

Journal
ACS Sensors
Published
2025-12-12
DOI
https://doi.org/10.1021/acssensors.5c03084
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Ant-Nest-Structured Wearable Sensor with pH Calibration for Reliable Monitoring of Sweat Glucose

Liang Hu, Xiaohan Shi, Yuancai Ge, Danfeng Jiang et al.
1 citations
ACS Sensors
Advanced Sensor and Energy Harvesting Materials
0.67
article

An Ant-Nest-Structured Wearable Sensor with pH Calibration for Reliable Monitoring of Sweat Glucose

Liang Hu, Xiaohan Shi, Yuancai Ge, Danfeng Jiang, Xuzhou Chen, Qian Li, Qingwen Zhang, Yi Wang, Xiaohu Liu, Zhe Sun
article en
1 citations

Abstract

Sweat glucose detected by wearable sensors can serve as a potential reference factor for diabetes management. However, inefficient sweat collection and fluctuating sweat pH hinder the precise detection of glucose. Herein, we designed a wearable sensing system comprising an ant-nest-structured sensor and a pH-responsive microchannel with multiple sweat inlets to continuously and accurately monitor the glucose level in sweat. Compared with the traditional planar electrode, this internally interconnected biomimetic structure provided a large number of accessible pores for contact with glucose molecules and electrolytes, remarkably decreasing the diffusion resistance. Furthermore, due to the formation of adjacent distributed cascade sensing units, the electron transmission distance from the catalytic center to the electrode surface was shortened, and the inoperative diffusion of H<sub>2</sub>O<sub>2</sub> in the sensor was also weakened. The microchannel could convey the perspiration from the epidermis to the sensing zone within 250 s, while the coated pH indicator in the microchannel monitors the liquid's pH in a colorimetric zone. As a result, our wearable sensor integrated with a pH-responsive microchannel accurately tracked the change of glucose levels in sweat before and after a diet, displaying reliable results after calibration similar to those of commercial colorimetric kits. In addition, a longitudinal investigation of the relationship between blood and sweat glucose from healthy people and diabetic patients revealed a good correlation in glucose between the two. Wearable biosensors for real-time noninvasive analysis of glucose in sweat may significantly facilitate diabetes management at home.

ACS SensorsVol. 11(1)
Wenzhou Medical University (CN), Affiliated Eye Hospital of Wenzhou Medical College (CN), Jiangsu University of Science and Technology (CN), He Eye Hospital (CN), Wenzhou Institute of Technology Testing & Calibration (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 24%
Advanced Sensor and Energy Harvesting Materials
0.67
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.