Meat freshness revealed by visible to near-infrared spectroscopy and principal component analysis


Increasing concerns about adulterated meat encouraged industry looking for new non-invasive methods for rapid accurate meat quality assessment. Main meat chromophores (myoglobin, oxy-myoglobin, fat, water, collagen) are characterized by close comparable absorption in visible to near-infrared (NIR) spectral region. Therefore, structural and compositional variations in meat may lead to relative differences in the absorption of light. Utilizing typical fiber-optic probes and integrating sphere, a degradation of pork samples freshness was observed at room temperature referring to the relative changes in absorbance of main meat chromophores. The application of principal component analysis (PCA) used for examination of measured absorbance spectra revealed more detailed sub-stages of freshness, which are not observed by the conventional analysis of the reflectance spectra. The results show a great potential of the combined application of optical-NIR spectroscopy with complementary use of PCA approach for assessing meat quality and monitoring relative absorbance alternation of oxymyoglobin and myoglobin in visible, and fat, water, collagen in NIR spectral ranges.

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Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
Additional Information: Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Funding: This work received funding from the I4FUTURE, European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie (grant agreement No 713606) and partially from the Academy of Finland (grants: 314369, 325097), the ATTRACT project funded by the EC under Grant Agreement 777222, MEPhI Academic Excellence Project (Contract No. 02.a03.21.0005), and National Research Tomsk State University Academic D.I. Mendeleev Fund Program.
Uncontrolled Keywords: Absorption spectra,Meat freshness,Monte Carlo simulation,Principal component analysis (PCA),Probing depth,Sampling volume,Visible/NIR spectroscopy,Physics and Astronomy(all)
Publication ISSN: 2399-6528
Last Modified: 08 Dec 2023 11:37
Date Deposited: 14 Sep 2020 09:58
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2020-09-11
Accepted Date: 2020-08-27
Submitted Date: 2020-06-12
Authors: Peyvasteh, Motahareh
Popov, Alexey
Bykov, Alexander
Meglinski, Igor (ORCID Profile 0000-0002-7613-8191)



Version: Published Version

License: Creative Commons Attribution

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