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

Abstract 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 gene...

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Main Authors: Zhengfang Wang, Lowri S. de Jager, Timothy Begley, Susan Genualdi
Format: Article
Language:English
Published: Wiley 2022-04-01
Series:Food Science & Nutrition
Subjects:
Online Access:https://doi.org/10.1002/fsn3.2751
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author Zhengfang Wang
Lowri S. de Jager
Timothy Begley
Susan Genualdi
author_facet Zhengfang Wang
Lowri S. de Jager
Timothy Begley
Susan Genualdi
author_sort Zhengfang Wang
collection DOAJ
description Abstract 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 Headspace vapor was withdrawn from a 1‐L vial containing 50 g seafood sample using a large volume headspace autosampler.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 doaj.art-6b08fd2b0a8b4d7ca6badb792b30e82d2023-06-09T11:26:01ZengWileyFood Science & Nutrition2048-71772022-04-011041195121010.1002/fsn3.2751Large volume headspace GC/MS analysis for the identification of volatile compounds relating to seafood decompositionZhengfang Wang0Lowri S. de Jager1Timothy Begley2Susan Genualdi3Joint Institute for Food Safety and Applied Nutrition University of Maryland College Park Maryland USACenter for Food Safety and Applied Nutrition Office of Regulatory Science U.S. Food and Drug Administration College Park Maryland USACenter for Food Safety and Applied Nutrition Office of Regulatory Science U.S. Food and Drug Administration College Park Maryland USACenter for Food Safety and Applied Nutrition Office of Regulatory Science U.S. Food and Drug Administration College Park Maryland USAAbstract 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.https://doi.org/10.1002/fsn3.2751large volume headspace GC/MSpooled calibration curvesseafoodvolatile compounds
spellingShingle Zhengfang Wang
Lowri S. de Jager
Timothy Begley
Susan Genualdi
Large volume headspace GC/MS analysis for the identification of volatile compounds relating to seafood decomposition
Food Science & Nutrition
large volume headspace GC/MS
pooled calibration curves
seafood
volatile compounds
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 large volume headspace GC/MS
pooled calibration curves
seafood
volatile compounds
url https://doi.org/10.1002/fsn3.2751
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