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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10453331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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