Targeted filtering reduces the complexity of UHPLC-Orbitrap-HRMS data to decipher polyphenol polymerization - Archive ouverte HAL
Article Dans Une Revue Food Chemistry Année : 2017

Targeted filtering reduces the complexity of UHPLC-Orbitrap-HRMS data to decipher polyphenol polymerization

Résumé

UHPLC-LTQ-Orbitrap-high resolution mass spectrometry (HRMS) was applied to investigate complex polymeric polyphenols, before and after acid-catalysed depolymerisation in the presence of a nucleophile (phloroglucinol). Reaction products of (−)-epicatechin with acetaldehyde formed in model solution were selected for a proof-of concept experiment. The complexity of the UHPLC-HRMS dataset obtained after 4 h incubation was reduced with petroleomics-inspired strategies using Van Krevelen diagrams and modified Kendrick mass defect filtering targeting ethyl-epicatechin (C17H16O6) units. Combining these approaches with mass fragmentation and phloroglucinolysis allowed us to describe reaction of epicatechin and acetaldehyde. More than 65 compounds were found, including the homogeneous bridged derivatives (up to the undecamer), vinyl and ethanol adducts, and xanthene and xanthylium salt derivatives which were identified for the first time.
Fichier non déposé

Dates et versions

hal-01470893 , version 1 (17-02-2017)

Identifiants

Citer

Anna Vallverdu Queralt, Emmanuelle Meudec, Matthias Eder, Rosa M. Lamuela-Raventos, Nicolas Sommerer, et al.. Targeted filtering reduces the complexity of UHPLC-Orbitrap-HRMS data to decipher polyphenol polymerization. Food Chemistry, 2017, 227, pp.255-263. ⟨10.1016/j.foodchem.2017.01.106⟩. ⟨hal-01470893⟩
96 Consultations
0 Téléchargements

Altmetric

Partager

More