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Large volume headspace GC/MS analysis for the identification of volatile compounds relating to seafood decomposition

Decomposition in seafood products in the United States is monitored by the Food and Drug Administration (FDA) laboratories using sensory testing, which requires highly trained analysts. A large‐volume headspace (LVHS) gas chromatography/mass spectrometry (GC/MS) method was developed to generate anal...

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Autores principales: Wang, Zhengfang, de Jager, Lowri S., Begley, Timothy, Genualdi, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007289/
https://www.ncbi.nlm.nih.gov/pubmed/35432958
http://dx.doi.org/10.1002/fsn3.2751
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author Wang, Zhengfang
de Jager, Lowri S.
Begley, Timothy
Genualdi, Susan
author_facet Wang, Zhengfang
de Jager, Lowri S.
Begley, Timothy
Genualdi, Susan
author_sort Wang, Zhengfang
collection PubMed
description Decomposition in seafood products in the United States is monitored by the Food and Drug Administration (FDA) laboratories using sensory testing, which requires highly trained analysts. A large‐volume headspace (LVHS) gas chromatography/mass spectrometry (GC/MS) method was developed to generate analytical results that can be directly compared to sensory evaluation. Headspace vapor was withdrawn from a 1‐L vial containing 50 g seafood sample using a large volume headspace autosampler. Various volatile compounds were collected simultaneously. Analytes were preconcentrated by a capillary column trapping system and then sent through a cryo‐focuser mounted onto the GC injector. A selected ion monitoring (SIM) MS acquisition method was used to selectively monitor 38 compounds of interest. Samples of red snapper, croaker, weakfish, mahi‐mahi, black tiger shrimp, yellowfin tuna, and sockeye salmon that have been assessed and scored by an FDA National Seafood Sensory Expert (NSSE) were used for method performance evaluation. Characteristic compounds potentially associated with seafood quality deterioration for each seafood species were identified by quantitative analysis using pooled matrix‐matched calibrations and two‐sample t‐test statistical analysis. Classification of fresh and decomposed samples was visualized on the analysis of variance (ANOVA)–principal component analysis (PCA) score plots. The results determined that the LVHS‐GC/MS technique appeared promising as a screening tool to identify compounds representative of sensory analysis.
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spelling pubmed-90072892022-04-15 Large volume headspace GC/MS analysis for the identification of volatile compounds relating to seafood decomposition Wang, Zhengfang de Jager, Lowri S. Begley, Timothy Genualdi, Susan Food Sci Nutr Original Articles Decomposition in seafood products in the United States is monitored by the Food and Drug Administration (FDA) laboratories using sensory testing, which requires highly trained analysts. A large‐volume headspace (LVHS) gas chromatography/mass spectrometry (GC/MS) method was developed to generate analytical results that can be directly compared to sensory evaluation. Headspace vapor was withdrawn from a 1‐L vial containing 50 g seafood sample using a large volume headspace autosampler. Various volatile compounds were collected simultaneously. Analytes were preconcentrated by a capillary column trapping system and then sent through a cryo‐focuser mounted onto the GC injector. A selected ion monitoring (SIM) MS acquisition method was used to selectively monitor 38 compounds of interest. Samples of red snapper, croaker, weakfish, mahi‐mahi, black tiger shrimp, yellowfin tuna, and sockeye salmon that have been assessed and scored by an FDA National Seafood Sensory Expert (NSSE) were used for method performance evaluation. Characteristic compounds potentially associated with seafood quality deterioration for each seafood species were identified by quantitative analysis using pooled matrix‐matched calibrations and two‐sample t‐test statistical analysis. Classification of fresh and decomposed samples was visualized on the analysis of variance (ANOVA)–principal component analysis (PCA) score plots. The results determined that the LVHS‐GC/MS technique appeared promising as a screening tool to identify compounds representative of sensory analysis. John Wiley and Sons Inc. 2022-01-22 /pmc/articles/PMC9007289/ /pubmed/35432958 http://dx.doi.org/10.1002/fsn3.2751 Text en © 2022 The Authors. Food Science & Nutrition published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Wang, Zhengfang
de Jager, Lowri S.
Begley, Timothy
Genualdi, Susan
Large volume headspace GC/MS analysis for the identification of volatile compounds relating to seafood decomposition
title Large volume headspace GC/MS analysis for the identification of volatile compounds relating to seafood decomposition
title_full Large volume headspace GC/MS analysis for the identification of volatile compounds relating to seafood decomposition
title_fullStr Large volume headspace GC/MS analysis for the identification of volatile compounds relating to seafood decomposition
title_full_unstemmed Large volume headspace GC/MS analysis for the identification of volatile compounds relating to seafood decomposition
title_short Large volume headspace GC/MS analysis for the identification of volatile compounds relating to seafood decomposition
title_sort large volume headspace gc/ms analysis for the identification of volatile compounds relating to seafood decomposition
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007289/
https://www.ncbi.nlm.nih.gov/pubmed/35432958
http://dx.doi.org/10.1002/fsn3.2751
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