Volatile compounds profiles in unroasted Coffea arabica and Coffea canephora beans from different countries

Detalhes bibliográficos
Autor(a) principal: KNYSAK,Daniel
Data de Publicação: 2017
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Food Science and Technology (Campinas)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612017000300444
Resumo: Abstract Aroma is the most important factor in assessing the quality of coffee. The volatile compounds profile could be very important to confirm the authenticity of Coffea arabica. The study was carried out on two species of unroasted coffee beans: Coffea arabica from Colombia and Nepal and Coffea robusta from Uganda and Vietnam. Both Coffea arabica and Coffea canephora were imported to the country of analysis approximately 5 months prior to the research. Before the analysis, the coffee beans were kept in a sealed, dark container, at 21 °C. The tests were performed using an electronic nose. Its functioning is based on gas chromatography with two columns of different polarities in parallel and with 2 ultra sensitive Flame Ionization Detectors (FID). With multivariate statistics – Principal Components Analysis – it was possible to reduce the number of links and present them in two dimensions, which allowed for the unambiguous identification and assignment of samples to a particular species of coffee. By using an electronic nose, one can distinguish and group unroasted coffee beans’ flavours depending on the country of origin and species.
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spelling Volatile compounds profiles in unroasted Coffea arabica and Coffea canephora beans from different countriesvolatile compounds profilescoffeeCoffea ArabicaCoffea canephoraAbstract Aroma is the most important factor in assessing the quality of coffee. The volatile compounds profile could be very important to confirm the authenticity of Coffea arabica. The study was carried out on two species of unroasted coffee beans: Coffea arabica from Colombia and Nepal and Coffea robusta from Uganda and Vietnam. Both Coffea arabica and Coffea canephora were imported to the country of analysis approximately 5 months prior to the research. Before the analysis, the coffee beans were kept in a sealed, dark container, at 21 °C. The tests were performed using an electronic nose. Its functioning is based on gas chromatography with two columns of different polarities in parallel and with 2 ultra sensitive Flame Ionization Detectors (FID). With multivariate statistics – Principal Components Analysis – it was possible to reduce the number of links and present them in two dimensions, which allowed for the unambiguous identification and assignment of samples to a particular species of coffee. By using an electronic nose, one can distinguish and group unroasted coffee beans’ flavours depending on the country of origin and species.Sociedade Brasileira de Ciência e Tecnologia de Alimentos2017-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612017000300444Food Science and Technology v.37 n.3 2017reponame:Food Science and Technology (Campinas)instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)instacron:SBCTA10.1590/1678-457x.19216info:eu-repo/semantics/openAccessKNYSAK,Danieleng2017-09-13T00:00:00Zoai:scielo:S0101-20612017000300444Revistahttp://www.scielo.br/ctaONGhttps://old.scielo.br/oai/scielo-oai.php||revista@sbcta.org.br1678-457X0101-2061opendoar:2017-09-13T00:00Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)false
dc.title.none.fl_str_mv Volatile compounds profiles in unroasted Coffea arabica and Coffea canephora beans from different countries
title Volatile compounds profiles in unroasted Coffea arabica and Coffea canephora beans from different countries
spellingShingle Volatile compounds profiles in unroasted Coffea arabica and Coffea canephora beans from different countries
KNYSAK,Daniel
volatile compounds profiles
coffee
Coffea Arabica
Coffea canephora
title_short Volatile compounds profiles in unroasted Coffea arabica and Coffea canephora beans from different countries
title_full Volatile compounds profiles in unroasted Coffea arabica and Coffea canephora beans from different countries
title_fullStr Volatile compounds profiles in unroasted Coffea arabica and Coffea canephora beans from different countries
title_full_unstemmed Volatile compounds profiles in unroasted Coffea arabica and Coffea canephora beans from different countries
title_sort Volatile compounds profiles in unroasted Coffea arabica and Coffea canephora beans from different countries
author KNYSAK,Daniel
author_facet KNYSAK,Daniel
author_role author
dc.contributor.author.fl_str_mv KNYSAK,Daniel
dc.subject.por.fl_str_mv volatile compounds profiles
coffee
Coffea Arabica
Coffea canephora
topic volatile compounds profiles
coffee
Coffea Arabica
Coffea canephora
description Abstract Aroma is the most important factor in assessing the quality of coffee. The volatile compounds profile could be very important to confirm the authenticity of Coffea arabica. The study was carried out on two species of unroasted coffee beans: Coffea arabica from Colombia and Nepal and Coffea robusta from Uganda and Vietnam. Both Coffea arabica and Coffea canephora were imported to the country of analysis approximately 5 months prior to the research. Before the analysis, the coffee beans were kept in a sealed, dark container, at 21 °C. The tests were performed using an electronic nose. Its functioning is based on gas chromatography with two columns of different polarities in parallel and with 2 ultra sensitive Flame Ionization Detectors (FID). With multivariate statistics – Principal Components Analysis – it was possible to reduce the number of links and present them in two dimensions, which allowed for the unambiguous identification and assignment of samples to a particular species of coffee. By using an electronic nose, one can distinguish and group unroasted coffee beans’ flavours depending on the country of origin and species.
publishDate 2017
dc.date.none.fl_str_mv 2017-07-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/1678-457x.19216
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dc.source.none.fl_str_mv Food Science and Technology v.37 n.3 2017
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