New insights into the search of meat quality biomarkers assisted by Orbitrap Tribrid untargeted metabolite analysis and chemometrics

Autor: Borja Garlito, Miguel A. Sentandreu, Vicent Yusà, Mamen Oliván, Olga Pardo, Enrique Sentandreu
Přispěvatelé: European Commission, Ministerio de Universidades (España), Ministerio de Ciencia, Innovación y Universidades (España)
Rok vydání: 2023
Předmět:
Zdroj: Food Chemistry. 407:135173
ISSN: 0308-8146
DOI: 10.1016/j.foodchem.2022.135173
Popis: 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.
Borja Garlito thanks Spanish Ministerio de Universidades for his Margarita Salas postdoctoral grant (MGS/2021/25 (UP2021-021)) financed by the European Union-NextGenerationEU. Authors acknowledge the European Commission for the financial support received through the European Regional Development Funds (ERDF) Operational Programme of the Valencia Region (2014-2020). Authors are also indebted to RTI2018-096162-R-C22 project (Spanish Agencia Estatal de Investigación) for funding this research and for financial support of the contract of Enrique Sentandreu.
Databáze: OpenAIRE
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