Investigation of chemical composition of meat using spatially off-set Raman spectroscopy

Saeideh Ostovar Pour, Stephanie M. Fowler, David L. Hopkins, Peter J. Torley, Harsharn Gill, Ewan W. Blanch

    Research output: Contribution to journalArticlepeer-review

    20 Citations (Scopus)

    Abstract

    Spatially off-set Raman spectroscopy (SORS) offers non-invasive chemical characterisation of the sub-surface of various biological tissues as it permits the assessment of diffusely scattering samples at depths of several orders of magnitude deeper than conventional Raman spectroscopy. Chemicals such as glycogen, glucose, lactate and cortisol are predictors of meat quality, however detection of these chemicals is limited to the surface of meat using conventional Raman spectroscopy as their concentration is higher within the tissue. Here, we have used SORS to detect spectral bands for glycogen, lactate, glucose and cortisol beneath the surface of meat tissue by spiking. To our knowledge, this is the first report on this method for potential application in meat quality analysis. We further validate our SORS spectral results using chemometric analysis to determine chemical-specific spectral characteristics suitable for chemical identification. The chemometric analysis clearly shows distinction of spiked metabolites into four distinct groups, even for such chemically similar compounds as glucose, glycogen and lactate.
    Original languageEnglish
    Pages (from-to)2618-2627
    Number of pages10
    JournalAnalyst
    Volume144
    Issue number8
    DOIs
    Publication statusPublished - 21 Apr 2019

    Fingerprint

    Dive into the research topics of 'Investigation of chemical composition of meat using spatially off-set Raman spectroscopy'. Together they form a unique fingerprint.

    Cite this