Aroma profile discrimination of coffees and industrial blends according to the chromatic value

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Carla Igreja
Data de Publicação: 2012
Outros Autores: Máguas, Cristina, Nogueira, J. M. F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/13670
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/281
Resumo: In the present work, static headspace solid phase microextraction using carboxen/polydimethylsiloxane polymeric fibre (HS-SPME(CAR/PDMS)) followed by gas chromatography-mass spectrometry (GC-MS), revealed the best analytical performance to characterize the aroma profile of coffees and industrial blends with different chromatic values (64.9, 70.6, 75.3, 86.1 and 89.6). The most relevant classes of aroma compounds founded were pyrroles, ketones, pyrazines, furans, phenolics, pyridines, alcohols and acids, independently of the roasting degree. By combining the analytical methodology with principal component analysis (HS-SPME(CAR/PDMS)/GC-MS/PCA), important aroma compounds such as 2-furancarboxaldehyde, 2-furanmethanol and acetic acid, allows to discriminate the different roasting degrees, from light (chromatic value 89.6) to dark (chromatic value 64.9) roast. The proposed analytical approach may help to build aroma profile databases to a better evaluation of coffee blends quality, and in controlling the industrial roasting processes.
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spelling Aroma profile discrimination of coffees and industrial blends according to the chromatic valueCoffee aromaCoffee aroma profileFood SciencesRoasting degreeChromatic valueIn the present work, static headspace solid phase microextraction using carboxen/polydimethylsiloxane polymeric fibre (HS-SPME(CAR/PDMS)) followed by gas chromatography-mass spectrometry (GC-MS), revealed the best analytical performance to characterize the aroma profile of coffees and industrial blends with different chromatic values (64.9, 70.6, 75.3, 86.1 and 89.6). The most relevant classes of aroma compounds founded were pyrroles, ketones, pyrazines, furans, phenolics, pyridines, alcohols and acids, independently of the roasting degree. By combining the analytical methodology with principal component analysis (HS-SPME(CAR/PDMS)/GC-MS/PCA), important aroma compounds such as 2-furancarboxaldehyde, 2-furanmethanol and acetic acid, allows to discriminate the different roasting degrees, from light (chromatic value 89.6) to dark (chromatic value 64.9) roast. The proposed analytical approach may help to build aroma profile databases to a better evaluation of coffee blends quality, and in controlling the industrial roasting processes.2013-01-142017-08-01T20:06:53Z2017-08-01T20:06:53Z2012info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://repositorio.ufla.br/jspui/handle/1/13670http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/281Coffee Science; v. 7, n. 2 (2012)Coffee Science; v. 7, n. 2 (2012)Coffee Science; v. 7, n. 2 (2012)1984-39091809-6875reponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://www.coffeescience.ufla.br/index.php/Coffeescience/article/downloadSuppFile/281/121Rodrigues, Carla IgrejaMáguas, CristinaNogueira, J. M. F.enginfo:eu-repo/semantics/openAccess2017-10-16T18:59:43Zoai:localhost:1/13670Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2017-10-16T18:59:43Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Aroma profile discrimination of coffees and industrial blends according to the chromatic value
title Aroma profile discrimination of coffees and industrial blends according to the chromatic value
spellingShingle Aroma profile discrimination of coffees and industrial blends according to the chromatic value
Rodrigues, Carla Igreja
Coffee aroma
Coffee aroma profile
Food Sciences
Roasting degree
Chromatic value
title_short Aroma profile discrimination of coffees and industrial blends according to the chromatic value
title_full Aroma profile discrimination of coffees and industrial blends according to the chromatic value
title_fullStr Aroma profile discrimination of coffees and industrial blends according to the chromatic value
title_full_unstemmed Aroma profile discrimination of coffees and industrial blends according to the chromatic value
title_sort Aroma profile discrimination of coffees and industrial blends according to the chromatic value
author Rodrigues, Carla Igreja
author_facet Rodrigues, Carla Igreja
Máguas, Cristina
Nogueira, J. M. F.
author_role author
author2 Máguas, Cristina
Nogueira, J. M. F.
author2_role author
author
dc.contributor.author.fl_str_mv Rodrigues, Carla Igreja
Máguas, Cristina
Nogueira, J. M. F.
dc.subject.por.fl_str_mv Coffee aroma
Coffee aroma profile
Food Sciences
Roasting degree
Chromatic value
topic Coffee aroma
Coffee aroma profile
Food Sciences
Roasting degree
Chromatic value
description In the present work, static headspace solid phase microextraction using carboxen/polydimethylsiloxane polymeric fibre (HS-SPME(CAR/PDMS)) followed by gas chromatography-mass spectrometry (GC-MS), revealed the best analytical performance to characterize the aroma profile of coffees and industrial blends with different chromatic values (64.9, 70.6, 75.3, 86.1 and 89.6). The most relevant classes of aroma compounds founded were pyrroles, ketones, pyrazines, furans, phenolics, pyridines, alcohols and acids, independently of the roasting degree. By combining the analytical methodology with principal component analysis (HS-SPME(CAR/PDMS)/GC-MS/PCA), important aroma compounds such as 2-furancarboxaldehyde, 2-furanmethanol and acetic acid, allows to discriminate the different roasting degrees, from light (chromatic value 89.6) to dark (chromatic value 64.9) roast. The proposed analytical approach may help to build aroma profile databases to a better evaluation of coffee blends quality, and in controlling the industrial roasting processes.
publishDate 2012
dc.date.none.fl_str_mv 2012
2013-01-14
2017-08-01T20:06:53Z
2017-08-01T20:06:53Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufla.br/jspui/handle/1/13670
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/281
url http://repositorio.ufla.br/jspui/handle/1/13670
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/281
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.coffeescience.ufla.br/index.php/Coffeescience/article/downloadSuppFile/281/121
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Coffee Science; v. 7, n. 2 (2012)
Coffee Science; v. 7, n. 2 (2012)
Coffee Science; v. 7, n. 2 (2012)
1984-3909
1809-6875
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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