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Application of GC–TOF/MS and GC×GC–TOF/MS to Discriminate Coffee Products in Three States (Bean, Powder, and Brew)

The volatiles in coffee play an important part in the overall flavor profile. In this study, GC–TOF/MS and GC×GC–TOF/MS were used to detect the volatile organic compounds (VOCs) in coffee samples of three different brands at three states (bean, powder, and brew). The differences between the two meth...

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Autores principales: Fang, Xiaolei, Chen, Yanping, Gao, Jie, Run, Zimu, Chen, He, Shi, Ruoqi, Li, Yingqiu, Zhang, Haihua, Liu, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453331/
https://www.ncbi.nlm.nih.gov/pubmed/37628122
http://dx.doi.org/10.3390/foods12163123
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author Fang, Xiaolei
Chen, Yanping
Gao, Jie
Run, Zimu
Chen, He
Shi, Ruoqi
Li, Yingqiu
Zhang, Haihua
Liu, Yuan
author_facet Fang, Xiaolei
Chen, Yanping
Gao, Jie
Run, Zimu
Chen, He
Shi, Ruoqi
Li, Yingqiu
Zhang, Haihua
Liu, Yuan
author_sort Fang, Xiaolei
collection PubMed
description The volatiles in coffee play an important part in the overall flavor profile. In this study, GC–TOF/MS and GC×GC–TOF/MS were used to detect the volatile organic compounds (VOCs) in coffee samples of three different brands at three states (bean, powder, and brew). The differences between the two methods in characterizing VOCs were analyzed using the Venn diagram and PCA (principal component analysis). The important aroma-contributing compounds were further compared and analyzed. The results of the venn diagrams of different coffee samples showed that most VOCs existed in 2–3 kinds of coffee. The PCA of VOCs in different coffee samples showed that the VOCs detected by GC–TOF/MS could distinguish the coffee samples in the different states. GC×GC–TOF/MS was suitable for the further identification and differentiation of the different brands of coffee samples. In addition, pyridine, pyrrole, alcohols, and phenols greatly contributed to distinguishing coffee in three states, and alcohols greatly contributed to distinguishing the three brands of coffee.
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spelling pubmed-104533312023-08-26 Application of GC–TOF/MS and GC×GC–TOF/MS to Discriminate Coffee Products in Three States (Bean, Powder, and Brew) Fang, Xiaolei Chen, Yanping Gao, Jie Run, Zimu Chen, He Shi, Ruoqi Li, Yingqiu Zhang, Haihua Liu, Yuan Foods Article The volatiles in coffee play an important part in the overall flavor profile. In this study, GC–TOF/MS and GC×GC–TOF/MS were used to detect the volatile organic compounds (VOCs) in coffee samples of three different brands at three states (bean, powder, and brew). The differences between the two methods in characterizing VOCs were analyzed using the Venn diagram and PCA (principal component analysis). The important aroma-contributing compounds were further compared and analyzed. The results of the venn diagrams of different coffee samples showed that most VOCs existed in 2–3 kinds of coffee. The PCA of VOCs in different coffee samples showed that the VOCs detected by GC–TOF/MS could distinguish the coffee samples in the different states. GC×GC–TOF/MS was suitable for the further identification and differentiation of the different brands of coffee samples. In addition, pyridine, pyrrole, alcohols, and phenols greatly contributed to distinguishing coffee in three states, and alcohols greatly contributed to distinguishing the three brands of coffee. MDPI 2023-08-20 /pmc/articles/PMC10453331/ /pubmed/37628122 http://dx.doi.org/10.3390/foods12163123 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fang, Xiaolei
Chen, Yanping
Gao, Jie
Run, Zimu
Chen, He
Shi, Ruoqi
Li, Yingqiu
Zhang, Haihua
Liu, Yuan
Application of GC–TOF/MS and GC×GC–TOF/MS to Discriminate Coffee Products in Three States (Bean, Powder, and Brew)
title Application of GC–TOF/MS and GC×GC–TOF/MS to Discriminate Coffee Products in Three States (Bean, Powder, and Brew)
title_full Application of GC–TOF/MS and GC×GC–TOF/MS to Discriminate Coffee Products in Three States (Bean, Powder, and Brew)
title_fullStr Application of GC–TOF/MS and GC×GC–TOF/MS to Discriminate Coffee Products in Three States (Bean, Powder, and Brew)
title_full_unstemmed Application of GC–TOF/MS and GC×GC–TOF/MS to Discriminate Coffee Products in Three States (Bean, Powder, and Brew)
title_short Application of GC–TOF/MS and GC×GC–TOF/MS to Discriminate Coffee Products in Three States (Bean, Powder, and Brew)
title_sort application of gc–tof/ms and gc×gc–tof/ms to discriminate coffee products in three states (bean, powder, and brew)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453331/
https://www.ncbi.nlm.nih.gov/pubmed/37628122
http://dx.doi.org/10.3390/foods12163123
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