Raman Spectroscopy for the Differentiation of Muscles and Tissues in Meat Using Chicken as a Model System

ABSTRACT The application of Raman spectroscopy in the meat processing industry as a quality assurance is dependent on its ability to differentiate tissues from the animal. Meat is commercialised as different cuts with variations in quality and financial value. Whilst it is possible to conduct some analysis on meat quality, there are high costs and time involved. The meat processing industry could benefit from rapid methods for characterising meat quality for large quantities. This study demonstrates the ability of combining Raman spectroscopy with chemometrics to discriminate tissues in a chicken carcass. All spectra from the different tissues were analysed by applying chemometrics. The principal component analysis (PCA) and discriminant function analysis (DFA) showed successful classification of different muscles and tissues.

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Publication Details

Journal
Journal of Raman Spectroscopy
Published
2024-08-15
DOI
https://doi.org/10.1002/jrs.6725
Citations
5
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
3.31

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article

Raman Spectroscopy for the Differentiation of Muscles and Tissues in Meat Using Chicken as a Model System

Peter J. Torley, P. Shoko, Ewan W. Blanch, Christopher J. Pillidge
5 citations
Journal of Raman Spectroscopy
Spectroscopy Techniques in Biomedical and Chemical Research
3.31
article

Raman Spectroscopy for the Differentiation of Muscles and Tissues in Meat Using Chicken as a Model System

Peter J. Torley, P. Shoko, Ewan W. Blanch, Christopher J. Pillidge
article en
5 citations

Abstract

ABSTRACT The application of Raman spectroscopy in the meat processing industry as a quality assurance is dependent on its ability to differentiate tissues from the animal. Meat is commercialised as different cuts with variations in quality and financial value. Whilst it is possible to conduct some analysis on meat quality, there are high costs and time involved. The meat processing industry could benefit from rapid methods for characterising meat quality for large quantities. This study demonstrates the ability of combining Raman spectroscopy with chemometrics to discriminate tissues in a chicken carcass. All spectra from the different tissues were analysed by applying chemometrics. The principal component analysis (PCA) and discriminant function analysis (DFA) showed successful classification of different muscles and tissues.

Journal of Raman SpectroscopyVol. 55(11)
RMIT University (AU)
RMIT University, Australian Meat Processor Corporation
Openalex Percentile: Top 8%
Spectroscopy Techniques in Biomedical and Chemical Research
3.31
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