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

Borja Garlito; Miguel A Sentandreu; Vicent Yusà; Mamen Oliván; Olga Pardo; Enrique Sentandreu

doi:10.1016/j.foodchem.2022.135173

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

Food Chem. 2023 May 1:407:135173. doi: 10.1016/j.foodchem.2022.135173. Epub 2022 Dec 9.

Authors

Borja Garlito¹, Miguel A Sentandreu², Vicent Yusà³, Mamen Oliván⁴, Olga Pardo⁵, Enrique Sentandreu⁶

Affiliations

¹ Enviromental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, Av. Sos Baynat S/N, 12071 Castelló de la Plana, Spain; Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, Av. Catalunya, 21, 46020 València, Spain.
² Instituto de Agroquímica y Tecnología de Alimentos (IATA-CSIC), Calle Agustín Escardino, 7, 46980 Paterna, Valencia, Spain.
³ Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, Av. Catalunya, 21, 46020 València, Spain.
⁴ Servicio Regional de Investigación y Desarrollo Alimentario (SERIDA), Carretera de Oviedo, s/n, 33300 Villaviciosa, Asturias, Spain.
⁵ Public Health Laboratory of València, Av. Catalunya, 21, 46020 València, Spain; Department of Analytical Chemistry, University of Valencia, Doctor Moliner 50, 46100 Burjassot, Spain. Electronic address: pardo_olg@gva.es.
⁶ Instituto de Agroquímica y Tecnología de Alimentos (IATA-CSIC), Calle Agustín Escardino, 7, 46980 Paterna, Valencia, Spain. Electronic address: elcapi@iata.csic.es.

PMID: 36527949
DOI: 10.1016/j.foodchem.2022.135173

Abstract

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 AcquireX^TM 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.

Keywords: Acyl-carnitine intermediates; Chemometric analysis; Iterative LC-MS(n) workflow; Meat quality biomarkers; Untargeted metabolomics; Validation assessment.

MeSH terms

Biomarkers
Chemometrics*
Hydrogen-Ion Concentration
Meat* / analysis
Metabolomics

Substances

Biomarkers