Study on sweat glucose analysis method based on photoelectric colorimetry

Diabetes, as one of the primary diseases threatening human life safety, has seen its traditional home blood glucose testing method involving finger pricking cause discomfort to patients. Therefore, there is an urgent need for a non-invasive, efficient, and simple home blood glucose testing method. Since sweat glucose concentration correlates with blood glucose concentration and sweat is easily accessible, this paper proposes a method for analyzing sweat glucose based on photoelectric colorimetry. The developed "mosquito coil-shaped" active sweat-absorbing microfluidic patch is used to collect sweat, which is then analyzed for glucose concentration using a colorimetric test strip. The produced colorimetric test strip works well in conjunction with the photoelectric colorimetric sensor, where the R color component shows a high linear correlation with glucose concentration, enabling precise detection of changes in glucose solution concentration. This patch can effectively collect human sweat samples and accurately analyze the glucose concentration within them, providing practical reference data for home self-testing by diabetic patients. It aids in monitoring blood sugar fluctuations, enhancing self-management capabilities and disease control efficacy, and holds promise for advancing diabetes management technology

Authors

Institutions

Publication Details

Published
2025-05-15
DOI
https://doi.org/10.1117/12.3069762
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on sweat glucose analysis method based on photoelectric colorimetry

Xueming Hong, Yifeng Tang, J. T. Zhang, Xuejing Li et al.
Advanced Chemical Sensor Technologies
article

Study on sweat glucose analysis method based on photoelectric colorimetry

Xueming Hong, Yifeng Tang, J. T. Zhang, Xuejing Li, Yuzhi Chen
article en

Abstract

Diabetes, as one of the primary diseases threatening human life safety, has seen its traditional home blood glucose testing method involving finger pricking cause discomfort to patients. Therefore, there is an urgent need for a non-invasive, efficient, and simple home blood glucose testing method. Since sweat glucose concentration correlates with blood glucose concentration and sweat is easily accessible, this paper proposes a method for analyzing sweat glucose based on photoelectric colorimetry. The developed "mosquito coil-shaped" active sweat-absorbing microfluidic patch is used to collect sweat, which is then analyzed for glucose concentration using a colorimetric test strip. The produced colorimetric test strip works well in conjunction with the photoelectric colorimetric sensor, where the R color component shows a high linear correlation with glucose concentration, enabling precise detection of changes in glucose solution concentration. This patch can effectively collect human sweat samples and accurately analyze the glucose concentration within them, providing practical reference data for home self-testing by diabetic patients. It aids in monitoring blood sugar fluctuations, enhancing self-management capabilities and disease control efficacy, and holds promise for advancing diabetes management technology

Shenzhen University (CN), Shenzhen Technology University (CN)
Openalex Percentile: Top 90%
Advanced Chemical Sensor Technologies
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.

Study on sweat glucose analysis method based on photoelectric colorimetry — Xueming Hong, Yifeng Tang, et al. · (2025) | TGRS Research Map | TGRS