Spoilage markers for freshwater fish: A comprehensive workflow for non-targeted analysis of VOCs using DHS-GC-HRMS.

Dynamic headspace GC-MS Fish spoilage Freshwater fish Volatile organic compounds (VOC)

Journal

Food research international (Ottawa, Ont.)
ISSN: 1873-7145
Titre abrégé: Food Res Int
Pays: Canada
ID NLM: 9210143

Informations de publication

Date de publication:
10 2023
Historique:
received: 19 04 2023
revised: 06 06 2023
accepted: 09 06 2023
medline: 11 9 2023
pubmed: 10 9 2023
entrez: 10 9 2023
Statut: ppublish

Résumé

Changes of volatile organic compounds (VOCs) patterns during 6 days of storage at +4 °C were investigated in different freshwater fish species, namely carp and trout, using dynamic headspace gas chromatography time-of-flight mass spectrometry (DHS-GC-TOFMS). DHS parameters were systematically optimized to establish optimum extraction and pre-concentration of VOCs. Moreover, different sample preparation methods were tested: mincing with a manual meat grinder, as well as mincing plus homogenization with a handheld homogenizer both without and with water addition. The addition of water during sample preparation led to pronounced changes of the volatile profiles, depending on the molecular structure and lipophilicity of the analytes, resulting in losses of up to 98 % of more lipophilic compounds (logP > 3). The optimized method was applied to trout and carp. Trout samples of different storage days were compared using univariate (Mann-Whitney U test, fold change calculation) and multivariate (OPLS-DA) statistics. 37 potential spoilage markers were selected; for 11 compounds identity could be confirmed via measurement of authentic standards and 10 compounds were identified by library spectrum match. 22 compounds were also found to be statistically significant spoilage markers in carp. Merging results of the different statistical approaches, the list of 37 compounds could be narrowed down to the 14 most suitable for trout spoilage assessment. This study comprises a systematic evaluation of the capabilities of DHS-GC coupled to high-resolution (HR) MS for studying spoilage in different freshwater fish species, including a comprehensive data evaluation workflow.

Identifiants

pubmed: 37689889
pii: S0963-9969(23)00668-3
doi: 10.1016/j.foodres.2023.113123
pii:
doi:

Substances chimiques

Volatile Organic Compounds 0
Water 059QF0KO0R

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

113123

Informations de copyright

Copyright © 2023. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Bernadette Moser (B)

University of Natural Resources and Life Sciences, Department of Chemistry, Institute of Analytical Chemistry, Muthgasse 18, 1190 Vienna, Austria; FFoQSI GmbH, Technopark 1D, 3430 Tulln an der Donau, Austria.

Teresa Steininger-Mairinger (T)

University of Natural Resources and Life Sciences, Department of Chemistry, Institute of Analytical Chemistry, Muthgasse 18, 1190 Vienna, Austria.

Zora Jandric (Z)

University of Natural Resources and Life Sciences, Department of Chemistry, Institute of Analytical Chemistry, Muthgasse 18, 1190 Vienna, Austria; VinoStellar OG, Keplerplatz 13, Vienna, Austria.

Andreas Zitek (A)

FFoQSI GmbH, Technopark 1D, 3430 Tulln an der Donau, Austria.

Theresa Scharl (T)

University of Natural Resources and Life Sciences, Department of Landscape, Spatial and Infrastructure Sciences, Institute of Statistics, Peter-Jordan-Straße 82, 1190 Vienna, Austria.

Stephan Hann (S)

University of Natural Resources and Life Sciences, Department of Chemistry, Institute of Analytical Chemistry, Muthgasse 18, 1190 Vienna, Austria; FFoQSI GmbH, Technopark 1D, 3430 Tulln an der Donau, Austria.

Christina Troyer (C)

University of Natural Resources and Life Sciences, Department of Chemistry, Institute of Analytical Chemistry, Muthgasse 18, 1190 Vienna, Austria. Electronic address: christina.troyer@boku.ac.at.

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Classifications MeSH