Cargando…

Detection and Differentiation of Volatile Compound Profiles in Roasted Coffee Arabica Beans from Different Countries Using an Electronic Nose and GC-MS

This paper describes the possibility of electronic nose-based detection and discrimination of volatile compound profiles of coffee from different countries roasted in a Gothot roaster under identical time and thermal regimes. The material used in the study was roasted Arabica coffee beans from Brazi...

Descripción completa

Detalles Bibliográficos
Autores principales: Marek, Gancarz, Dobrzański, Bohdan, Oniszczuk, Tomasz, Combrzyński, Maciej, Ćwikła, Daniel, Rusinek, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180597/
https://www.ncbi.nlm.nih.gov/pubmed/32283765
http://dx.doi.org/10.3390/s20072124
_version_ 1783525855467667456
author Marek, Gancarz
Dobrzański, Bohdan
Oniszczuk, Tomasz
Combrzyński, Maciej
Ćwikła, Daniel
Rusinek, Robert
author_facet Marek, Gancarz
Dobrzański, Bohdan
Oniszczuk, Tomasz
Combrzyński, Maciej
Ćwikła, Daniel
Rusinek, Robert
author_sort Marek, Gancarz
collection PubMed
description This paper describes the possibility of electronic nose-based detection and discrimination of volatile compound profiles of coffee from different countries roasted in a Gothot roaster under identical time and thermal regimes. The material used in the study was roasted Arabica coffee beans from Brazil, Ethiopia, Guatemala, Costa Rica, and Peru. The analyses were carried out with the use of the Agrinose electronic nose designed and constructed at the Institute of Agrophysics of the Polish Academy of Sciences in Lublin. The results of the volatile compound profile analysis provided by the Agrinose device were verified with the GC-MS technique. Chemometric tests demonstrated a dominant role of alcohols, acids, aldehydes, azines, and hydrazides in the coffee volatile compound profile. The differences in their content had an impact on the odor profile of the coffees originating from the different countries. High content of pyridine from the group of azines was detected in the coffee from Peru and Brazil despite the same roasting conditions. The results of the Agrinose analysis of volatile substances were consistent and correlated with the GC-MS results. This suggests that the Agrinose is a promising tool for selection of coffees based on their volatile compound profile.
format Online
Article
Text
id pubmed-7180597
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-71805972020-05-01 Detection and Differentiation of Volatile Compound Profiles in Roasted Coffee Arabica Beans from Different Countries Using an Electronic Nose and GC-MS Marek, Gancarz Dobrzański, Bohdan Oniszczuk, Tomasz Combrzyński, Maciej Ćwikła, Daniel Rusinek, Robert Sensors (Basel) Article This paper describes the possibility of electronic nose-based detection and discrimination of volatile compound profiles of coffee from different countries roasted in a Gothot roaster under identical time and thermal regimes. The material used in the study was roasted Arabica coffee beans from Brazil, Ethiopia, Guatemala, Costa Rica, and Peru. The analyses were carried out with the use of the Agrinose electronic nose designed and constructed at the Institute of Agrophysics of the Polish Academy of Sciences in Lublin. The results of the volatile compound profile analysis provided by the Agrinose device were verified with the GC-MS technique. Chemometric tests demonstrated a dominant role of alcohols, acids, aldehydes, azines, and hydrazides in the coffee volatile compound profile. The differences in their content had an impact on the odor profile of the coffees originating from the different countries. High content of pyridine from the group of azines was detected in the coffee from Peru and Brazil despite the same roasting conditions. The results of the Agrinose analysis of volatile substances were consistent and correlated with the GC-MS results. This suggests that the Agrinose is a promising tool for selection of coffees based on their volatile compound profile. MDPI 2020-04-09 /pmc/articles/PMC7180597/ /pubmed/32283765 http://dx.doi.org/10.3390/s20072124 Text en © 2020 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
Marek, Gancarz
Dobrzański, Bohdan
Oniszczuk, Tomasz
Combrzyński, Maciej
Ćwikła, Daniel
Rusinek, Robert
Detection and Differentiation of Volatile Compound Profiles in Roasted Coffee Arabica Beans from Different Countries Using an Electronic Nose and GC-MS
title Detection and Differentiation of Volatile Compound Profiles in Roasted Coffee Arabica Beans from Different Countries Using an Electronic Nose and GC-MS
title_full Detection and Differentiation of Volatile Compound Profiles in Roasted Coffee Arabica Beans from Different Countries Using an Electronic Nose and GC-MS
title_fullStr Detection and Differentiation of Volatile Compound Profiles in Roasted Coffee Arabica Beans from Different Countries Using an Electronic Nose and GC-MS
title_full_unstemmed Detection and Differentiation of Volatile Compound Profiles in Roasted Coffee Arabica Beans from Different Countries Using an Electronic Nose and GC-MS
title_short Detection and Differentiation of Volatile Compound Profiles in Roasted Coffee Arabica Beans from Different Countries Using an Electronic Nose and GC-MS
title_sort detection and differentiation of volatile compound profiles in roasted coffee arabica beans from different countries using an electronic nose and gc-ms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180597/
https://www.ncbi.nlm.nih.gov/pubmed/32283765
http://dx.doi.org/10.3390/s20072124
work_keys_str_mv AT marekgancarz detectionanddifferentiationofvolatilecompoundprofilesinroastedcoffeearabicabeansfromdifferentcountriesusinganelectronicnoseandgcms
AT dobrzanskibohdan detectionanddifferentiationofvolatilecompoundprofilesinroastedcoffeearabicabeansfromdifferentcountriesusinganelectronicnoseandgcms
AT oniszczuktomasz detectionanddifferentiationofvolatilecompoundprofilesinroastedcoffeearabicabeansfromdifferentcountriesusinganelectronicnoseandgcms
AT combrzynskimaciej detectionanddifferentiationofvolatilecompoundprofilesinroastedcoffeearabicabeansfromdifferentcountriesusinganelectronicnoseandgcms
AT cwikładaniel detectionanddifferentiationofvolatilecompoundprofilesinroastedcoffeearabicabeansfromdifferentcountriesusinganelectronicnoseandgcms
AT rusinekrobert detectionanddifferentiationofvolatilecompoundprofilesinroastedcoffeearabicabeansfromdifferentcountriesusinganelectronicnoseandgcms