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Differentiation of meat species of raw and processed meat based on polar metabolites using 1H NMR spectroscopy combined with multivariate data analysis

Decker, Christina 1; Krapf, Reiner; Kuballa, Thomas; Bunzel, Mirko 1
1 Institut für Angewandte Biowissenschaften (IAB), Karlsruher Institut für Technologie (KIT)

Abstract:

Meat species of raw meat and processed meat products were investigated by $^1$H NMR spectroscopy with subsequent multivariate data analysis. Sample preparation was based on aqueous extraction combined with ultrafiltration in order to reduce macromolecular components in the extracts. $^1$H NMR data was analyzed by using a non—targeted approach followed by principal component analysis (PCA), linear discrimination analysis (LDA), and cross-validation (CV) embedded in a Monte Carlo (MC) resampling approach. A total of 379 raw meat samples (pork, beef, poultry, and lamb) and 81 processed meat samples (pork, beef, poultry) were collected between the years 2018 and 2021. A 99% correct prediction rate was achieved if the raw meat samples were classified according to meat species. Predicting processed meat products was slightly less successful (93 %) with this approach. Furthermore, identification of spectral regions that are relevant for the classification via polar chemical markers was performed. Finally, data on polar metabolites were fused with previously published $^1$H NMR data on non-polar metabolites in order to build a broader classification model and to improve prediction accuracy.


Verlagsausgabe §
DOI: 10.5445/IR/1000151961
Veröffentlicht am 26.10.2022
Originalveröffentlichung
DOI: 10.3389/fnut.2022.985797
Scopus
Zitationen: 3
Web of Science
Zitationen: 2
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Biowissenschaften (IAB)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2296-861X
KITopen-ID: 1000151961
Erschienen in Frontiers in Nutrition
Verlag Frontiers Media SA
Band 9
Seiten Art.-Nr.: 985797
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 30.09.2022
Schlagwörter 1H NMR spectroscopy, meat, authentication, species, multivariate statistical analysis
Nachgewiesen in Web of Science
Scopus
Dimensions
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