HRMAS-NMR spectroscopy and multivariate analysis meat characterisation
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Updated: May 20, 2026

Species Determination and Quantitation in Mixtures Using MRM Mass Spectrometry of Peptides Applied to Meat Authentication
Published on: September 20, 2016
Mena Ritota1, Lorena Casciani, Sebastiana Failla
1Agricultural Research Council-Research Centre for the Soil-Plant System, Instrumental Centre of Tor Mancina Strada della Neve Km 1, 00016 Monterotondo, Rome, Italy.
Abstract:
¹H-High resolution magic angle spinning-nuclear magnetic resonance spectroscopy was employed to gain the metabolic profile of longissimus dorsi and semitendinosus muscles of four different breeds: Chianina, Holstein Friesian, Maremmana and Buffalo. Principal component analysis, partial least squares projection to latent structure - discriminant analysis and orthogonal partial least squares projection to latent structure - discriminant analysis were used to build models capable of discriminating the muscle type according to the breed. Data analysis led to an excellent classification for Buffalo and Chianina, while for Holstein Friesian the separation was lower. In the case of Maremmana the use of intelligent bucketing was necessary due to some resonances shifting allowed improvement of the discrimination ability. Finally, by using the Variable Importance in Projection values the metabolites relevant for the classification were identified.
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