E18 : Blood, Sweat & Tears: Non-Invasive Biofluid Glucose Monitoring Using CIELAB Colorimetric Analysis


Students Andrew Song
Arham Hasan
School GEDSB - North Park Collegiate and Vocational School - Brantford
Level Senior 11/12 - Grade 12
Group Group 9 - Health Sciences II
Abstract This project evaluates the effectiveness of non-invasive glucose monitoring by comparing tears and sweat as alternative indicators of blood glucose levels. Using wearable collection devices and colorimetric glucose detection, followed by machine learning regression to assess predictive accuracy, this study quantitatively demonstrates the effectiveness of alternative biofluids for blood glucose monitoring, exploring less painful glucose testing to improve the daily lives of individuals with diabetes.