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


    Tang, Zhengyuan and Barton, Sinead and Ward, Tomas E. and Lowry, John P. and Doran, Michelle M. and Byrne, Hugh J. and Hennelly, Bryan M. (2018) Quantifying the concentration of glucose, urea, and lactic acid in aqueous mixtures by confocal Raman microscopy. Proceedings of SPIE, 10685. 106850V. ISSN 0277-786X

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    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.

    Item Type: Article
    Additional Information: This is the preprint version of the published paper, which is available at: Zhengyuan Tang, Sinead J. Barton, Tomas Ward, John Lowry, Michelle Doran, Hugh J. Byrne, and Bryan M. Hennelly "Quantifying the concentration of glucose, urea, and lactic acid in mixture by confocal Raman microscopy", Proc. SPIE 10685, Biophotonics: Photonic Solutions for Better Health Care VI, 106850V (17 May 2018); https://doi.org/10.1117/12.2307550 . This Conference Paper has been made available for free and open access by the Radiation and Environmental Science Centre at ARROW@TU Dublin.
    Keywords: Raman Spectroscopy; Partial Least Squares Regression; Confocal microscopy; Multiple component analysis;
    Academic Unit: Faculty of Science and Engineering > Chemistry
    Faculty of Science and Engineering > Electronic Engineering
    Item ID: 13440
    Identification Number: https://doi.org/10.1117/12.2307550
    Depositing User: Dr. Bryan Hennelly
    Date Deposited: 09 Oct 2020 17:03
    Journal or Publication Title: Proceedings of SPIE
    Publisher: SPIE
    Refereed: Yes
    URI:

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