MURAL - Maynooth University Research Archive Library



    Multicomponent analysis using a confocal Raman microscope


    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) Multicomponent analysis using a confocal Raman microscope. Applied Optics, 57 (22). ISSN 1559-128X

    [img]
    Preview
    Download (1MB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    Measuring the concentration of multiple chemical components in a low-volume aqueous mixture by Raman spectroscopy has received significant interest in the literature. All of the contributions to date focus on the design of optical systems that facilitate the recording of spectra with high signal-to-noise ratio by collecting as many Raman scattered photons as possible. In this study, the confocal Raman microscope setup is investigated for multicomponent analysis. Partial least-squares regression is used to quantify physiologically relevant aqueous mixtures of glucose, lactic acid, and urea. The predicted error is 17.81 mg/dL for glucose, 10.6 mg/dL for lactic acid, and 7.6 mg/dL for urea, although this can be improved with increased acquisition times. A theoretical analysis of the method is proposed, which relates the numerical aperture and the magnification of the microscope objective, as well as the confocal pinhole size, to the performance of the technique.

    Item Type: Article
    Keywords: confocal microscopy; Raman spectroscopy
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Chemistry
    Faculty of Science and Engineering > Electronic Engineering
    Item ID: 13131
    Identification Number: https://doi.org/10.1364/AO.57.00E118
    Depositing User: Dr. Bryan Hennelly
    Date Deposited: 22 Jul 2020 14:11
    Journal or Publication Title: Applied Optics
    Publisher: Optical Society of America
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI)
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year