Non-Invasive Blood Glucose Monitoring Using Infrared Spectroscopy

Abstract

Using infrared (IR) spectroscopy, this study introduces a noninvasive approach for tracking blood glucose levels by taking advantage of glucose's special absorption properties in the near infrared (NIR) spectrum. Traditional glucose monitoring techniques include invasive finger prick tests that are painful and unsuitable for regular usage, particularly in people with diabetes. To overcome this limitation, our system uses a continuous, non-invasive monitoring method that analyzes the interaction between infrared light and glucose molecules in the interstitial fluid beneath the skin. Utilizing a photodiode sensor and an NIR LED, the device measures light absorption patterns associated with glucose levels. The microcontroller (Arduino) processes data in real time, and machine learning algorithms improve accuracy by linking optical signals to glucose levels. By reducing interference from other blood components, this method increases reliability. The device has an LED display for fast readings and supports wireless data transmission (Bluetooth) to a companion mobile app for the convenience of the user. This technology, which integrates optical sensing, embedded systems, and predictive analytics, offers a patientfriendly, scalable alternative to traditional invasive procedures. Users may track glucose trends with ease, gaining real-time insights without the hassle of regular blood draws. Future initiatives focused on clinical validation and miniaturization for wearable applications will result in more improvements in accessible diabetes management.