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HS-SPME-GC × GC/MS combined with multivariate statistics analysis to investigate the flavor formation mechanism of tank-fermented broad bean paste

With the advancement of industrialization, tank fermentation technology is promising for Pixian broad bean paste. This study identified and analyzed the general physicochemical factors and volatile metabolites of fermented broad beans in a thermostatic fermenter. Headspace solid-phase microextractio...

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Autores principales: Liao, Shiqi, Han, Jinlin, Jiang, Chunyan, Zhou, Binbin, Jiang, Zhenju, Tang, Jie, Ding, Wenwu, Che, Zhenming, Lin, Hongbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943836/
https://www.ncbi.nlm.nih.gov/pubmed/36845488
http://dx.doi.org/10.1016/j.fochx.2022.100556
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author Liao, Shiqi
Han, Jinlin
Jiang, Chunyan
Zhou, Binbin
Jiang, Zhenju
Tang, Jie
Ding, Wenwu
Che, Zhenming
Lin, Hongbin
author_facet Liao, Shiqi
Han, Jinlin
Jiang, Chunyan
Zhou, Binbin
Jiang, Zhenju
Tang, Jie
Ding, Wenwu
Che, Zhenming
Lin, Hongbin
author_sort Liao, Shiqi
collection PubMed
description With the advancement of industrialization, tank fermentation technology is promising for Pixian broad bean paste. This study identified and analyzed the general physicochemical factors and volatile metabolites of fermented broad beans in a thermostatic fermenter. Headspace solid-phase microextraction (HS-SPME)-two-dimensional gas chromatography-mass spectrometry (GC × GC–MS) was applied to detect the volatile compounds in fermented broad beans, while metabolomics was used to explore their physicochemical characteristics and analyze the possible metabolic mechanism. A total of 184 different metabolites were detected, including 36 alcohols, 29 aldehydes, 26 esters, 21 ketones, 14 acids, 14 aromatic compounds, ten heterocycles, nine phenols, nine organonitrogen compounds, seven hydrocarbons, two ethers, and seven other types, which were annotated to various branch metabolic pathways of carbohydrate and amino acid metabolism. This study provides references for subsequent functional microorganism mining to improve the quality of the tank-fermented broad beans and upgrade the Pixian broad bean paste industry.
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spelling pubmed-99438362023-02-23 HS-SPME-GC × GC/MS combined with multivariate statistics analysis to investigate the flavor formation mechanism of tank-fermented broad bean paste Liao, Shiqi Han, Jinlin Jiang, Chunyan Zhou, Binbin Jiang, Zhenju Tang, Jie Ding, Wenwu Che, Zhenming Lin, Hongbin Food Chem X Research Article With the advancement of industrialization, tank fermentation technology is promising for Pixian broad bean paste. This study identified and analyzed the general physicochemical factors and volatile metabolites of fermented broad beans in a thermostatic fermenter. Headspace solid-phase microextraction (HS-SPME)-two-dimensional gas chromatography-mass spectrometry (GC × GC–MS) was applied to detect the volatile compounds in fermented broad beans, while metabolomics was used to explore their physicochemical characteristics and analyze the possible metabolic mechanism. A total of 184 different metabolites were detected, including 36 alcohols, 29 aldehydes, 26 esters, 21 ketones, 14 acids, 14 aromatic compounds, ten heterocycles, nine phenols, nine organonitrogen compounds, seven hydrocarbons, two ethers, and seven other types, which were annotated to various branch metabolic pathways of carbohydrate and amino acid metabolism. This study provides references for subsequent functional microorganism mining to improve the quality of the tank-fermented broad beans and upgrade the Pixian broad bean paste industry. Elsevier 2022-12-27 /pmc/articles/PMC9943836/ /pubmed/36845488 http://dx.doi.org/10.1016/j.fochx.2022.100556 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Liao, Shiqi
Han, Jinlin
Jiang, Chunyan
Zhou, Binbin
Jiang, Zhenju
Tang, Jie
Ding, Wenwu
Che, Zhenming
Lin, Hongbin
HS-SPME-GC × GC/MS combined with multivariate statistics analysis to investigate the flavor formation mechanism of tank-fermented broad bean paste
title HS-SPME-GC × GC/MS combined with multivariate statistics analysis to investigate the flavor formation mechanism of tank-fermented broad bean paste
title_full HS-SPME-GC × GC/MS combined with multivariate statistics analysis to investigate the flavor formation mechanism of tank-fermented broad bean paste
title_fullStr HS-SPME-GC × GC/MS combined with multivariate statistics analysis to investigate the flavor formation mechanism of tank-fermented broad bean paste
title_full_unstemmed HS-SPME-GC × GC/MS combined with multivariate statistics analysis to investigate the flavor formation mechanism of tank-fermented broad bean paste
title_short HS-SPME-GC × GC/MS combined with multivariate statistics analysis to investigate the flavor formation mechanism of tank-fermented broad bean paste
title_sort hs-spme-gc × gc/ms combined with multivariate statistics analysis to investigate the flavor formation mechanism of tank-fermented broad bean paste
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943836/
https://www.ncbi.nlm.nih.gov/pubmed/36845488
http://dx.doi.org/10.1016/j.fochx.2022.100556
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