Influence and Screening of Potential Markers of Salmonella Pollution on Volatile Components of Pepper Chicken

To explore the influence of Salmonella contamination on pepper chicken, electronic nose combined with headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) technique was used to analyze volatile substances in pepper chicken contaminated with Salmonella at differe...

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Main Authors: Jie XU, Xiaoping FU, Yongsong ZHANG, Sujing LUO, BUHELIQI·Abudurexiti, Jiangchao WU, Siming ZHU
Format: Article
Language:zho
Published: The editorial department of Science and Technology of Food Industry 2025-06-01
Series:Shipin gongye ke-ji
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Online Access:http://www.spgykj.com/cn/article/doi/10.13386/j.issn1002-0306.2024060020
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author Jie XU
Xiaoping FU
Yongsong ZHANG
Sujing LUO
BUHELIQI·Abudurexiti
Jiangchao WU
Siming ZHU
author_facet Jie XU
Xiaoping FU
Yongsong ZHANG
Sujing LUO
BUHELIQI·Abudurexiti
Jiangchao WU
Siming ZHU
author_sort Jie XU
collection DOAJ
description To explore the influence of Salmonella contamination on pepper chicken, electronic nose combined with headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) technique was used to analyze volatile substances in pepper chicken contaminated with Salmonella at different concentration and culture time. The results showed that the electronic nose effectively differentiated volatile profiles across incubation periods. The contents of alcohols, ketones, alkanes and hydrides increased with the extension of culture time. Among them, W1W and W2S sensors were the indicator sensors of Salmonella contaminated pepper chicken in low concentration group, W6S and W1S sensors were the indicator sensors of Salmonella contaminated pepper chicken in high concentration group. Orthogonal partial least squares discriminant analysis (OPLS-DA) could better distinguish volatile substances in pepper chicken and classify the characteristic substances. HS-SPME-GC-MS identified 3-methyltetradecane (4 to 6 h after inoculation), chlorocetane (4 to 6 h after inoculation), 2-methyl-5-(1-methylvinyl)cyclohexanone and trans-4-(isopropyl)-1-methylcyclohexan-2-ene-1-ol (2 to 6 h after inoculation) could be used as a potential volatile marker of Salmonella contaminated pepper chicken. These results provide reference for the study of volatile markers of Salmonella contamination in pepper chicken.
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spelling doaj-art-fd32f6bfb5cc42c6a7f0414236a4ab312025-08-20T03:11:17ZzhoThe editorial department of Science and Technology of Food IndustryShipin gongye ke-ji1002-03062025-06-01461226727410.13386/j.issn1002-0306.20240600202024060020-12Influence and Screening of Potential Markers of Salmonella Pollution on Volatile Components of Pepper ChickenJie XU0Xiaoping FU1Yongsong ZHANG2Sujing LUO3BUHELIQI·Abudurexiti4Jiangchao WU5Siming ZHU6College of Life and Geographic Sciences, Kashi University, Kashi 844000, ChinaCollege of Life and Geographic Sciences, Kashi University, Kashi 844000, ChinaCollege of Life and Geographic Sciences, Kashi University, Kashi 844000, ChinaCollege of Life and Geographic Sciences, Kashi University, Kashi 844000, ChinaXinjiang Haide Enterprise Management Service Co., Ltd., Kashi 844000, ChinaCollege of Life and Geographic Sciences, Kashi University, Kashi 844000, ChinaCollege of Life and Geographic Sciences, Kashi University, Kashi 844000, ChinaTo explore the influence of Salmonella contamination on pepper chicken, electronic nose combined with headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) technique was used to analyze volatile substances in pepper chicken contaminated with Salmonella at different concentration and culture time. The results showed that the electronic nose effectively differentiated volatile profiles across incubation periods. The contents of alcohols, ketones, alkanes and hydrides increased with the extension of culture time. Among them, W1W and W2S sensors were the indicator sensors of Salmonella contaminated pepper chicken in low concentration group, W6S and W1S sensors were the indicator sensors of Salmonella contaminated pepper chicken in high concentration group. Orthogonal partial least squares discriminant analysis (OPLS-DA) could better distinguish volatile substances in pepper chicken and classify the characteristic substances. HS-SPME-GC-MS identified 3-methyltetradecane (4 to 6 h after inoculation), chlorocetane (4 to 6 h after inoculation), 2-methyl-5-(1-methylvinyl)cyclohexanone and trans-4-(isopropyl)-1-methylcyclohexan-2-ene-1-ol (2 to 6 h after inoculation) could be used as a potential volatile marker of Salmonella contaminated pepper chicken. These results provide reference for the study of volatile markers of Salmonella contamination in pepper chicken.http://www.spgykj.com/cn/article/doi/10.13386/j.issn1002-0306.2024060020pepper chickenelectronic nosehs-spme-gc-mssalmonellaorthogonal partial least squares discriminant analysis
spellingShingle Jie XU
Xiaoping FU
Yongsong ZHANG
Sujing LUO
BUHELIQI·Abudurexiti
Jiangchao WU
Siming ZHU
Influence and Screening of Potential Markers of Salmonella Pollution on Volatile Components of Pepper Chicken
Shipin gongye ke-ji
pepper chicken
electronic nose
hs-spme-gc-ms
salmonella
orthogonal partial least squares discriminant analysis
title Influence and Screening of Potential Markers of Salmonella Pollution on Volatile Components of Pepper Chicken
title_full Influence and Screening of Potential Markers of Salmonella Pollution on Volatile Components of Pepper Chicken
title_fullStr Influence and Screening of Potential Markers of Salmonella Pollution on Volatile Components of Pepper Chicken
title_full_unstemmed Influence and Screening of Potential Markers of Salmonella Pollution on Volatile Components of Pepper Chicken
title_short Influence and Screening of Potential Markers of Salmonella Pollution on Volatile Components of Pepper Chicken
title_sort influence and screening of potential markers of salmonella pollution on volatile components of pepper chicken
topic pepper chicken
electronic nose
hs-spme-gc-ms
salmonella
orthogonal partial least squares discriminant analysis
url http://www.spgykj.com/cn/article/doi/10.13386/j.issn1002-0306.2024060020
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