Temperature Effect on Near Infrared Spectrum of Glucose Monitoring

Abstract

This paper used a regression model to describe temperature effect on nearinfrared spectrum for glucose monitoring. By using high-precision instruments, experiments measured near-infrared transmitted light intensity (reflected by voltage values) of glucose solutions whose concentrations were 278 mmol/L, 556 mmol/L, and 2780 mmol/L. Temperature values were accurately controlled, and a regression model using least square method fitting temperature values and voltage values was established. The temperature values and the voltage values were negatively correlated and a t-test showed that results had statistically significant, thus, the model was meaningful. The coefficients of determination of models for three concentrations were 0.928, 0.914, and 0.919 respectively, which showed that majority of voltage could be influenced by temperature, and the fitting performance was well. The significance of this study was to make a contribution to a non-trauma and non-pollution technology, and hope to potentially improve the accuracy of nearinfrared non-invasive blood glucose monitoring.