Salivary Glucose Prediction System

This paper focuses on developing a non-invasive device for monitoring glucose levels in saliva in the case of diabetes mellitus, addressing the global crisis of this disease. The proposed method utilizes human saliva samples to measure glucose levels instead of blood. This operates by transmitting light rays using an IR LED transmitter into the saliva sample, capturing the signals with an infrared receiver BPX43IV along with an amplifier to amplify the signals, processing the data through an Arduino microcontroller, and displaying them on an LCD screen. Experimental tests conducted on known samples with varying concentrations of glucose as well as on individuals with diabetes demonstrated the accuracy of the device and comparable measurements to blood glucose levels. The device shows promising potential but requires further research and validation to ensure accuracy and reliability in a broader demographic. This innovation could revolutionize glucose monitoring by providing a convenient and precise alternative to traditional methods.