Cargando…
Evolution of Volatile Compounds and Spoilage Bacteria in Smoked Bacon during Refrigeration Using an E-Nose and GC-MS Combined with Partial Least Squares Regression
The changes in the concentration of volatile organic compounds (VOCs) and biogenic amines (BAs) in smoked bacon during 45-day refrigerated storage is investigated using solid-phase micro-extraction coupled with gas chromatography-mass spectrometry and high-performance liquid chromatography. In total...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320767/ https://www.ncbi.nlm.nih.gov/pubmed/30544999 http://dx.doi.org/10.3390/molecules23123286 |
_version_ | 1783385280228622336 |
---|---|
author | Li, Xinfu Zhu, Jiancai Li, Cong Ye, Hua Wang, Zhouping Wu, Xiang Xu, Baocai |
author_facet | Li, Xinfu Zhu, Jiancai Li, Cong Ye, Hua Wang, Zhouping Wu, Xiang Xu, Baocai |
author_sort | Li, Xinfu |
collection | PubMed |
description | The changes in the concentration of volatile organic compounds (VOCs) and biogenic amines (BAs) in smoked bacon during 45-day refrigerated storage is investigated using solid-phase micro-extraction coupled with gas chromatography-mass spectrometry and high-performance liquid chromatography. In total, 56 VOCs and 6 BAs were identified and quantified. The possible pathways leading to their formation are analyzed and considered as the potential signs of microbial activity, especially by specific spoilage microorganisms (SSOs). Leuconostoc and Lactobacillus, which levels increased markedly with the extension of storage time, were recognized as SSOs. An electronic nose (e-nose) was employed to determine the changes in concentration of the odor components per sample present within half an hour. Partial least squares regression was then carried out to analyze the correlation between SSO growth, metabolite concentration, BA accumulation, and e-nose response. The results show that ten VOCs (ethanol, 2-furanmethanol, 1-hexanol, 1-propanol, phenol, 2-methoxyphenol, acetic acid, 3-ethyl-2-cyclopenten-1-one, furfural, and ethyl hexanoate) and three BAs (putrescine, cadaverine, and tyramine) can be associated with the growth of SSOs. Thus, they can be adopted as potential indicators to evaluate and monitor the quality of the bacon and develop appropriate detection methods. E-noses can used to recognize odors and diagnose quality of bacon. |
format | Online Article Text |
id | pubmed-6320767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63207672019-01-14 Evolution of Volatile Compounds and Spoilage Bacteria in Smoked Bacon during Refrigeration Using an E-Nose and GC-MS Combined with Partial Least Squares Regression Li, Xinfu Zhu, Jiancai Li, Cong Ye, Hua Wang, Zhouping Wu, Xiang Xu, Baocai Molecules Article The changes in the concentration of volatile organic compounds (VOCs) and biogenic amines (BAs) in smoked bacon during 45-day refrigerated storage is investigated using solid-phase micro-extraction coupled with gas chromatography-mass spectrometry and high-performance liquid chromatography. In total, 56 VOCs and 6 BAs were identified and quantified. The possible pathways leading to their formation are analyzed and considered as the potential signs of microbial activity, especially by specific spoilage microorganisms (SSOs). Leuconostoc and Lactobacillus, which levels increased markedly with the extension of storage time, were recognized as SSOs. An electronic nose (e-nose) was employed to determine the changes in concentration of the odor components per sample present within half an hour. Partial least squares regression was then carried out to analyze the correlation between SSO growth, metabolite concentration, BA accumulation, and e-nose response. The results show that ten VOCs (ethanol, 2-furanmethanol, 1-hexanol, 1-propanol, phenol, 2-methoxyphenol, acetic acid, 3-ethyl-2-cyclopenten-1-one, furfural, and ethyl hexanoate) and three BAs (putrescine, cadaverine, and tyramine) can be associated with the growth of SSOs. Thus, they can be adopted as potential indicators to evaluate and monitor the quality of the bacon and develop appropriate detection methods. E-noses can used to recognize odors and diagnose quality of bacon. MDPI 2018-12-11 /pmc/articles/PMC6320767/ /pubmed/30544999 http://dx.doi.org/10.3390/molecules23123286 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Xinfu Zhu, Jiancai Li, Cong Ye, Hua Wang, Zhouping Wu, Xiang Xu, Baocai Evolution of Volatile Compounds and Spoilage Bacteria in Smoked Bacon during Refrigeration Using an E-Nose and GC-MS Combined with Partial Least Squares Regression |
title | Evolution of Volatile Compounds and Spoilage Bacteria in Smoked Bacon during Refrigeration Using an E-Nose and GC-MS Combined with Partial Least Squares Regression |
title_full | Evolution of Volatile Compounds and Spoilage Bacteria in Smoked Bacon during Refrigeration Using an E-Nose and GC-MS Combined with Partial Least Squares Regression |
title_fullStr | Evolution of Volatile Compounds and Spoilage Bacteria in Smoked Bacon during Refrigeration Using an E-Nose and GC-MS Combined with Partial Least Squares Regression |
title_full_unstemmed | Evolution of Volatile Compounds and Spoilage Bacteria in Smoked Bacon during Refrigeration Using an E-Nose and GC-MS Combined with Partial Least Squares Regression |
title_short | Evolution of Volatile Compounds and Spoilage Bacteria in Smoked Bacon during Refrigeration Using an E-Nose and GC-MS Combined with Partial Least Squares Regression |
title_sort | evolution of volatile compounds and spoilage bacteria in smoked bacon during refrigeration using an e-nose and gc-ms combined with partial least squares regression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320767/ https://www.ncbi.nlm.nih.gov/pubmed/30544999 http://dx.doi.org/10.3390/molecules23123286 |
work_keys_str_mv | AT lixinfu evolutionofvolatilecompoundsandspoilagebacteriainsmokedbaconduringrefrigerationusinganenoseandgcmscombinedwithpartialleastsquaresregression AT zhujiancai evolutionofvolatilecompoundsandspoilagebacteriainsmokedbaconduringrefrigerationusinganenoseandgcmscombinedwithpartialleastsquaresregression AT licong evolutionofvolatilecompoundsandspoilagebacteriainsmokedbaconduringrefrigerationusinganenoseandgcmscombinedwithpartialleastsquaresregression AT yehua evolutionofvolatilecompoundsandspoilagebacteriainsmokedbaconduringrefrigerationusinganenoseandgcmscombinedwithpartialleastsquaresregression AT wangzhouping evolutionofvolatilecompoundsandspoilagebacteriainsmokedbaconduringrefrigerationusinganenoseandgcmscombinedwithpartialleastsquaresregression AT wuxiang evolutionofvolatilecompoundsandspoilagebacteriainsmokedbaconduringrefrigerationusinganenoseandgcmscombinedwithpartialleastsquaresregression AT xubaocai evolutionofvolatilecompoundsandspoilagebacteriainsmokedbaconduringrefrigerationusinganenoseandgcmscombinedwithpartialleastsquaresregression |