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Metabolomics of meat exudate: Its potential to evaluate beef meat conservation and aging

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Castejón, David and García Segura, Juan Manuel and Escudero, Rosa and Herrera, Antonio and Cambero, María Isabel (2015) Metabolomics of meat exudate: Its potential to evaluate beef meat conservation and aging. Analytica Chimica Acta, 901 . pp. 1-11. ISSN 0003-2670

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Official URL: https://doi.org/10.1016/j.aca.2015.08.032



Abstract

In this study we analyzed the exudate of beef to evaluate its potential as non invasive sampling for nuclear magnetic resonance (NMR) based metabolomic analysis of meat samples. Exudate, as the natural juice from raw meat, is an easy to obtain matrix that it is usually collected in small amounts in commercial meat packages. Although meat exudate could provide complete and homogeneous metabolic information about the whole meat piece, this sample has been poorly studied. Exudates from 48 beef samples of different breeds, cattle and storage times have been studied by 1H NMR spectroscopy. The liquid exudate spectra were compared with those obtained by High Resolution Magic Angle Spinning (HRMAS) of the original meat pieces. The close correlation found between both spectra (>95% of coincident peaks in both registers; Spearman correlation coefficient = 0.945) lead us to propose the exudate as an excellent alternative analytical matrix with a view to apply meat metabolomics. 60 metabolites could be identified through the analysis of mono and bidimensional exudate spectra, 23 of them for the first time in NMR meat studies. The application of chemometric tools to analyze exudate dataset has revealed significant metabolite variations associated with meat aging. Hence, NMR based metabolomics have made it possible both to classify meat samples according to their storage time through Principal Component Analysis (PCA), and to predict that storage time through Partial Least Squares (PLS) regression.


Item Type:Article
Uncontrolled Keywords:Beef; Exudate; Nuclear magnetic resonance spectroscopy; Metabolomics; Principal component analysis; Partial least squares
Subjects:Medical sciences > Biology
Medical sciences > Biology > Biochemistry
ID Code:43165
Deposited On:06 Jun 2017 16:55
Last Modified:07 Jun 2017 07:25

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