Non-Invasive Glucose Monitoring by Raman Spectroscopy

摘要

Noninvasive glucose monitoring has been a long-standing need in diabetes management. Among many approaches to meeting this need, Raman spectroscopy has attracted attention due to its molecular specificity. Previous Raman-based glucose sensing can predict blood glucose concentration based on a statistical correlation between the reference glucose concentration and unspecified spectral features. However, the lack of glucose Raman peaks and non-prospective prediction have led to questions about the effectiveness of in vivo Raman spectroscopy for transcutaneous glucose sensing. Here, we disclose technology for directly observing distinct glucose Raman spectra from skin. The Raman signal intensities were proportional to the reference glucose concentrations in three live swine glucose clamping experiments. Tracking the spectral intensity based on the linearity enables prospective prediction with high accuracy in within-subject and inter-subject models. Compared to previous statistical approaches, prospective predictions based on a direct glucose signal from the skin offers robust, reliable noninvasive glucose sensing.