汗水
血糖监测
汗腺
计算机科学
连续血糖监测
生物医学工程
血糖自我监测
医学
内科学
糖尿病
内分泌学
1型糖尿病
作者
Juliane R. Sempionatto,Jong‐Min Moon,Joseph Wang
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2021-04-19
卷期号:6 (5): 1875-1883
被引量:114
标识
DOI:10.1021/acssensors.1c00139
摘要
Diabetes prevalence has been rising exponentially, increasing the need for reliable noninvasive approaches for glucose monitoring. Different biofluids have been explored recently for replacing current blood finger-stick glucose strips with noninvasive painless sensing devices. While sweat has received considerable attention, there are mixed reports on correlating the sweat results with blood glucose levels. Here, we demonstrate a new rapid and reliable approach that combines a simple touch-based fingertip sweat electrochemical sensor with a new algorithm that addresses for personal variations toward the accurate estimate of blood glucose concentrations. The new painless and simple glucose self-testing protocol leverages the fast sweat rate on the fingertip for rapid assays of natural perspiration, without any sweat stimulation, along with the personalized sweat-response-to-blood concentration translation. A reliable estimate of the blood glucose sensing concentrations can thus be realized through a simple one-time personal precalibration. Such system training leads to a substantially improved accuracy with a Pearson correlation coefficient higher than 0.95, along with an overall mean absolute relative difference of 7.79%, with 100% paired points residing in the A + B region of the Clarke error grid. The speed and simplicity of the touch-based blood-free fingertip sweat assay, and the elimination of periodic blood calibrations, should lead to frequent self-testing of glucose and enhanced patient compliance toward the improved management of diabetes.
科研通智能强力驱动
Strongly Powered by AbleSci AI