Direct observation of glucose fingerprint using in vivo Raman spectroscopy
Name
eaay5206.full.pdf
Description
Published version
Size
1.04 MB
Format
Adobe PDF
Checksum (MD5)
f7ba35a2cfaeb77bf887f3b535c312b1
Author(s)
Kang, Jeon Woong
Park, Yun Sang
Chang, Hojun
Lee, Woochang
Singh, Surya Pratap
Choi, Wonjun
Galindo, Luis H
Dasari, Ramachandra R
Nam, Sung Hyun
Park, Jongae
Date Issued
2020
Journal
Science Advances
Publisher
American Association for the Advancement of Science (AAAS)
Version
Final published version
Abstract
Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). Noninvasive blood glucose monitoring has been a long-standing dream in diabetes management. The use of Raman spectroscopy, with its molecular specificity, has been investigated in this regard over the past decade. Previous studies reported on glucose sensing based on indirect evidence such as statistical correlation to the reference glucose concentration. However, these claims fail to demonstrate glucose Raman peaks, which has raised questions regarding the effectiveness of Raman spectroscopy for glucose sensing. Here, we demonstrate the first direct observation of glucose Raman peaks from in vivo skin. The signal intensities varied proportional to the reference glucose concentrations in three live swine glucose clamping experiments. Tracking spectral intensity based on linearity enabled accurate prospective prediction in within-subject and intersubject models. Our direct demonstration of glucose signal may quiet the long debate about whether glucose Raman spectra can be measured in vivo in transcutaneous glucose sensing.
MIT Department
Massachusetts Institute of Technology. Laser Biomedical Research Center
Terms of Use
Creative Commons Attribution NonCommercial License 4.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1126/SCIADV.AAY5206
