Optical measurement of glucose concentrations using Raman spectroscopy

M. J. Vilaboy, A. Ergin, A. Tchouassi, R. Greene, G. A. Thomas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


The need for devising a method to noninvasively measure the glucose concentration in the body is great because of the application to improving blood sugar control in diabetics as to improve the quality and longevity of life. The noninvasive method studied in this paper is to use an optical measurement of a glucose solution to predict the actual glucose concentration of that solution by means of spontaneous Raman Spectroscopy using multivariate regression analysis. Although this method has been studied by many groups of researchers, the advantage comes with a small, compact, relatively inexpensive, and low intensity system that could be more easily implemented into a practical device that could be used for clinical and patient self monitoring. These advantages over previous studies include reduced incident laser power, at 60 mW, and reduced integration times, with a significant signal to noise ratio at physiological concentrations. The results of the study showed a significant correlation between the predictor variable, optical measure of glucose concentration, to the outcome variable, actual glucose concentration, with a correlation coefficient of 0.99987, an F(2, 2) statistic of 7599, and a p-value of 1.3∗10-4.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE 29th Annual Northeast Bioengineering Conference
EditorsStanley Reisman, Richard Foulds, Bruno Mantilla
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages2
ISBN (Electronic)0780377672
StatePublished - Jan 1 2003
Event29th IEEE Annual Northeast Bioengineering Conference, NEBC 2003 - Newark, United States
Duration: Mar 22 2003Mar 23 2003

Publication series

NameProceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
ISSN (Print)1071-121X
ISSN (Electronic)2160-7001


Other29th IEEE Annual Northeast Bioengineering Conference, NEBC 2003
CountryUnited States

All Science Journal Classification (ASJC) codes

  • Bioengineering


  • Biomedical monitoring
  • Biosensors
  • Diabetes
  • Laser noise
  • Multivariate regression
  • Patient monitoring
  • Power lasers
  • Raman scattering
  • Spectroscopy
  • Sugar

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