Elucidation of the non-volatile fingerprint in oven headspace vapor from bread roll baking by ultra-high resolution mass spectrometry.

FT-ICR-MS Foodomics Headspace sampling Maillard reaction Maltosine (PubChem CID: 71749894) Response surface methodology Wheat bread

Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
16 Apr 2022
Historique:
received: 22 06 2021
revised: 29 10 2021
accepted: 11 11 2021
pubmed: 27 11 2021
medline: 13 1 2022
entrez: 26 11 2021
Statut: ppublish

Résumé

Untargeted research on vapor arising during the thermal processing of food has so far focused on volatile aroma compounds. In this study, we present an oven atmosphere sampling strategy to trap headspace aerosols along with semi- and non-volatile molecules liberated during the baking of wheat bread rolls. The collected vapor condensate was analyzed for its molecular fingerprinting using direct infusion ultra-high resolution mass spectrometry. We detected up to 4,700 molecular species in a vapor sample from bread rolls baked at 230 °C for 15 min. Beyond the global profiling of the underlying matrix, our method can follow complex reaction cascades during the baking process, such as the formation of advanced glycation end-products like maltosine through the interface of trapped vapor. Further, process parameters such as baking temperature and duration were used to model the dynamic liberation of molecules to the oven atmosphere by a response surface methodology approach.

Identifiants

pubmed: 34823930
pii: S0308-8146(21)02624-8
doi: 10.1016/j.foodchem.2021.131618
pii:
doi:

Substances chimiques

Glycation End Products, Advanced 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

131618

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Leopold Weidner (L)

Comprehensive Foodomics Platform, Chair of Analytical Food Chemistry, TUM School of Life Sciences, Technical University of Munich, Maximus-von-Imhof-Forum 2, 85354 Freising, Germany; Helmholtz Zentrum Muenchen, Analytical BioGeoChemistry, Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany. Electronic address: leopold.weidner@tum.de.

Yingfei Yan (Y)

Helmholtz Zentrum Muenchen, Analytical BioGeoChemistry, Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany.

Daniel Hemmler (D)

Comprehensive Foodomics Platform, Chair of Analytical Food Chemistry, TUM School of Life Sciences, Technical University of Munich, Maximus-von-Imhof-Forum 2, 85354 Freising, Germany; Helmholtz Zentrum Muenchen, Analytical BioGeoChemistry, Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany.

Michael Rychlik (M)

Comprehensive Foodomics Platform, Chair of Analytical Food Chemistry, TUM School of Life Sciences, Technical University of Munich, Maximus-von-Imhof-Forum 2, 85354 Freising, Germany.

Philippe Schmitt-Kopplin (P)

Comprehensive Foodomics Platform, Chair of Analytical Food Chemistry, TUM School of Life Sciences, Technical University of Munich, Maximus-von-Imhof-Forum 2, 85354 Freising, Germany; Helmholtz Zentrum Muenchen, Analytical BioGeoChemistry, Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany. Electronic address: schmitt-kopplin@tum.de.

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Classifications MeSH