Identification of pure component spectra by independent component analysis in glucose prediction based on mid-infrared spectroscopy
Applied Optics, Vol. 45, Issue 32, pp. 8374-8380 (2006)
http://dx.doi.org/10.1364/AO.45.008374
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Abstract
We present a method for glucose prediction from mid-IR spectra by independent component analysis (ICA). This method is able to identify pure, or individual, absorption spectra of constituent components from the mixture spectra without a priori knowledge of the mixture. This method was tested with a two-component system consisting of an aqueous solution of both glucose and sucrose, which exhibit distinct but closely overlapped spectra. ICA combined with principal component analysis was able to identify a spectrum for each component, the correct number of components, and the concentrations of the components in the mixture. This method does not need a calibration process and is advantageous in noninvasive glucose monitoring since expensive and time-consuming clinical tests for data calibration are not required.
© 2006 Optical Society of America
OCIS Codes
(170.1470) Medical optics and biotechnology : Blood or tissue constituent monitoring
(170.1580) Medical optics and biotechnology : Chemometrics
(170.4580) Medical optics and biotechnology : Optical diagnostics for medicine
ToC Category:
Medical Optics and Biotechnology
History
Original Manuscript: February 27, 2006
Revised Manuscript: July 18, 2006
Manuscript Accepted: July 30, 2006
Virtual Issues
Vol. 1, Iss. 12 Virtual Journal for Biomedical Optics
Citation
Sangjoon Hahn and Gilwon Yoon, "Identification of pure component spectra by independent component analysis in glucose prediction based on mid-infrared spectroscopy," Appl. Opt. 45, 8374-8380 (2006)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ao-45-32-8374
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