Quantifying the concentration of glucose, urea, and lactic acid in mixture by confocal Raman microscopy

Zhengyuan Tang, Sinead J. Barton, Tomas Ward, John Lowry, Michelle Doran, Hugh J. Byrne, Bryan M. Hennelly

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Raman spectroscopy has numerous applications in the field of biology. One such application is the simultaneously measurement of the concentration of multiple biochemical components in low volume aqueous mixtures, for example, a single drop of blood serum. Over twenty years ago, it was shown for the first time that it was possible to estimate the concentration of glucose, urea, and lactic acid in mixture by combining Raman Spectroscopy with Partial Least Squares Regression analysis. This was followed by numerous contributions in the literature designed to increase the number of components and reduce the limits of concentration that could be simultaneously measured using Raman spectroscopy, by developing various optical architectures to maximise the signal to noise ratio. The aim of this paper is to demonstrate the potential of a confocal Raman microscopy system for multicomponent analysis for the case of physiologically relevant mixtures of glucose, urea, and lactic acid.

    Original languageEnglish
    Title of host publicationBiophotonics
    Subtitle of host publicationPhotonic Solutions for Better Health Care VI
    EditorsJurgen Popp, Valery V. Tuchin, Francesco Saverio Pavone
    PublisherSPIE
    ISBN (Electronic)9781510618961
    DOIs
    Publication statusPublished - 2018
    EventBiophotonics: Photonic Solutions for Better Health Care VI 2018 - Strasbourg, France
    Duration: 23 Apr 201826 Apr 2018

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume10685
    ISSN (Print)0277-786X
    ISSN (Electronic)1996-756X

    Conference

    ConferenceBiophotonics: Photonic Solutions for Better Health Care VI 2018
    Country/TerritoryFrance
    CityStrasbourg
    Period23/04/1826/04/18

    Keywords

    • Confocal microscopy
    • Multiple component analysis
    • Partial Least Squares Regression
    • Raman Spectroscopy

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