New insights into the search of meat quality biomarkers assisted by Orbitrap Tribrid untargeted metabolite analysis and chemometrics
Metabolite profiles of normal and defective dry, firm and dark (DFD) meat extracts with known ultimate pH (pHu) values were determined by Orbitrap Tribrid ID-X untargeted analysis coupled to chemometrics. An intelligent MS3 AcquireXTM workflow firstly approached the unambiguous characterization of detected features that were subsequently quantified by a complementary MS1 study of biological replicates. Chemometric research revealed how threonylphenylalanine (overexpressed in normal meats) together to tetradecadienoyl- and hydroxydodecanoyl-carnitines (both overexpressed in DFD meats) appropriately grouped meat groups assayed. Robustness of such biomarkers was confirmed through a time-delayed study of a blind set of samples (unknown pHu) and evidenced limitations of pHu as an isolated parameter for accurate meat quality differentiation. Other acyl-carnitines also characterized DFD samples, suggesting interferences induced by pre-slaughter stress (PSS) on lipid catabolism that would explain accumulation of such intermediate metabolites. Results achieved can ease understanding of biochemical mechanisms underlying meat quality defects.
Main Authors: | Garlito, Borja, Sentandreu, Miguel Ángel, Yusà, Vicent, Oliván, Mamen, Pardo, Olga, Sentandreu, Enrique |
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Other Authors: | European Commission |
Format: | artículo biblioteca |
Language: | English |
Published: |
Elsevier
2022-12-09
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Subjects: | Acyl-carnitine intermediates, Chemometric analysis, Iterative LC-MS(n) workflow, Meat quality biomarkers, Untargeted metabolomics, Validation assessment, |
Online Access: | http://hdl.handle.net/10261/287085 http://dx.doi.org/10.13039/501100000780 https://api.elsevier.com/content/abstract/scopus_id/85144061932 |
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