Near infrared LEDs based estimation of Glucose

Abstract

As all of us are aware that diabetes is a major cause of concern among affluent families, there is a need for an effective, non-invasive and portable method for glucose monitoring. The article describes a glucose sensing method leveraging light absorption in the near-infrared region. Here, we probe the sample using LEDs at fixed wavelengths at 2150, 2250 and 2350nm. The wavelengths are specifically chosen to lie in the close vicinity of glucose absorption peaks in the combination band. The absorption signatures detected are found to have a strong correlation with the glucose concentration. Linear fitting analysis are done on the readings at each wavelength and show a strong linear relationship at all wavelengths with best R2 of 0.9857 at 2250nm. The reduction in the number of wavelengths is aimed at drastically reducing the memory, power and computing requirements as compared to traditional approaches thus leading to better portability.