Post-harvest operations and physicochemical and sensory quality of coffees

Detalhes bibliográficos
Autor(a) principal: Clemente, Aline Consolação Sampaio
Data de Publicação: 2015
Outros Autores: Cirillo, Marcelo Angelo, Malta, Marcelo Ribeiro, Caixeta, Franciele, Pereira, Cristiane Carvalho, Rosa, Sttela Dellyzete Veiga Franco
Tipo de documento: Artigo
Idioma: por
Título da fonte: Coffee Science (Online)
Texto Completo: https://coffeescience.ufla.br/index.php/Coffeescience/article/view/862
Resumo: The effects of post-harvest processing and drying operations and storage conditions are relevant factors for consideration in assessing coffee quality. In this respect, depending on the processing and drying conditions, coffee beans may undergo changes in their physicochemical composition, with a direct affect on beverage quality and, consequently, sensory assessment. Univariate statistical techniques are usually used for analysis of the results, but such results may lead to inconsistent interpretations because they do not consider the combined effect of physicochemical and sensory variables. Therefore, the aim of this study is to propose a multivariate approach to the data by a combination of principal component techniques and Multi-Vari Charts which consider the physicochemical and sensory variables together with the post-harvest operations in the assessment of coffee beans quality. Fruit from Coffea arabica L. ‘Catuaí Amarelo IAC 62’ were processed to obtain natural coffee, semi-washed coffee and fully-washed coffee. After processing, the coffees were dried in the shade, in the sun and in mechanical dryers and were kept for twelve months in cold storage at 10ºC and 50% RH, with assessment every four months. We conclude that the use of principal component analysis in conjunction with the graphical technique multivari- chart enables us to understand the combined effects of processing, drying and storage on the chemical and sensory quality of the coffee, as well as their correlations. Observe greater reductions in the final score and conductivity during storage in natural coffees dried in a dryer.
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spelling Post-harvest operations and physicochemical and sensory quality of coffeesOperações pós-colheita e qualidade físico-química e sensorial de cafésCoffea arabica L.multivariate approachprincipal componentMulti-Vari ChartCoffea arabica L.abordagem multivariadacomponentes principaisMulti-Vari ChartThe effects of post-harvest processing and drying operations and storage conditions are relevant factors for consideration in assessing coffee quality. In this respect, depending on the processing and drying conditions, coffee beans may undergo changes in their physicochemical composition, with a direct affect on beverage quality and, consequently, sensory assessment. Univariate statistical techniques are usually used for analysis of the results, but such results may lead to inconsistent interpretations because they do not consider the combined effect of physicochemical and sensory variables. Therefore, the aim of this study is to propose a multivariate approach to the data by a combination of principal component techniques and Multi-Vari Charts which consider the physicochemical and sensory variables together with the post-harvest operations in the assessment of coffee beans quality. Fruit from Coffea arabica L. ‘Catuaí Amarelo IAC 62’ were processed to obtain natural coffee, semi-washed coffee and fully-washed coffee. After processing, the coffees were dried in the shade, in the sun and in mechanical dryers and were kept for twelve months in cold storage at 10ºC and 50% RH, with assessment every four months. We conclude that the use of principal component analysis in conjunction with the graphical technique multivari- chart enables us to understand the combined effects of processing, drying and storage on the chemical and sensory quality of the coffee, as well as their correlations. Observe greater reductions in the final score and conductivity during storage in natural coffees dried in a dryer.Os efeitos das operações pós-colheita de processamento e secagem e as condições de armazenamento são fatores relevantes a serem considerados para análise da qualidade do café. Dependendo das condições de processamento e secagem, os grãos de café podem sofrer alterações na composição físico-química, influenciando diretamente na qualidade de bebida e consequentemente na avaliação sensorial. Para análise dos resultados, usualmente são utilizadas técnicas de estatísticas univariadas, as quais poderão proporcionar interpretações incoerentes por não considerarem o efeito conjunto entre as variáveis físico-químicas e sensoriais. Assim, objetivou-se propor uma abordagem multivariada dos dados, por meio da combinação de técnicas de componentes principais e gráficos Multi-Vari Chart, que contemple os efeitos das variáveis físico-químicas e sensoriais junto às operações de pós-colheita, na avaliação da qualidade de grãos de cafés. Foram utilizados frutos de Coffea arabica L. cv. Catuaí Amarelo IAC 62 processados para a obtenção de café natural, desmucilado e despolpado. Após o processamento, os cafés foram secados à sombra, ao sol e em secadores mecânicos e foram armazenados por doze meses em câmara fria a 10ºC e 50% UR, sendo avaliados a cada quatro meses. Conclui-se que a utilização da análise de componentes principais em conjunto com a técnica gráfica multivari-chart permite compreender os efeitos conjuntos do processamento, secagem e armazenamento sobre a qualidade química e sensorial do café, bem como suas correlações. Observam se maiores reduções na pontuação final e maiores valores de condutividade elétrica, durante o armazenamento, nos cafés naturais secados em secador.Editora UFLA2015-05-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfapplication/ziphttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/862Coffee Science - ISSN 1984-3909; Vol. 10 No. 2 (2015); 233 - 241Coffee Science; Vol. 10 Núm. 2 (2015); 233 - 241Coffee Science; v. 10 n. 2 (2015); 233 - 2411984-3909reponame:Coffee Science (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/862/pdf_175https://coffeescience.ufla.br/index.php/Coffeescience/article/view/862/1410https://coffeescience.ufla.br/index.php/Coffeescience/article/view/862/1411Copyright (c) 2015 Coffee Science - ISSN 1984-3909https://creativecommons.org/info:eu-repo/semantics/openAccessClemente, Aline Consolação SampaioCirillo, Marcelo AngeloMalta, Marcelo RibeiroCaixeta, FrancielePereira, Cristiane CarvalhoRosa, Sttela Dellyzete Veiga Franco2015-06-02T14:28:49Zoai:coffeescience.ufla.br:article/862Revistahttps://coffeescience.ufla.br/index.php/CoffeesciencePUBhttps://coffeescience.ufla.br/index.php/Coffeescience/oaicoffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com1984-39091809-6875opendoar:2024-05-21T19:53:51.562584Coffee Science (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Post-harvest operations and physicochemical and sensory quality of coffees
Operações pós-colheita e qualidade físico-química e sensorial de cafés
title Post-harvest operations and physicochemical and sensory quality of coffees
spellingShingle Post-harvest operations and physicochemical and sensory quality of coffees
Clemente, Aline Consolação Sampaio
Coffea arabica L.
multivariate approach
principal component
Multi-Vari Chart
Coffea arabica L.
abordagem multivariada
componentes principais
Multi-Vari Chart
title_short Post-harvest operations and physicochemical and sensory quality of coffees
title_full Post-harvest operations and physicochemical and sensory quality of coffees
title_fullStr Post-harvest operations and physicochemical and sensory quality of coffees
title_full_unstemmed Post-harvest operations and physicochemical and sensory quality of coffees
title_sort Post-harvest operations and physicochemical and sensory quality of coffees
author Clemente, Aline Consolação Sampaio
author_facet Clemente, Aline Consolação Sampaio
Cirillo, Marcelo Angelo
Malta, Marcelo Ribeiro
Caixeta, Franciele
Pereira, Cristiane Carvalho
Rosa, Sttela Dellyzete Veiga Franco
author_role author
author2 Cirillo, Marcelo Angelo
Malta, Marcelo Ribeiro
Caixeta, Franciele
Pereira, Cristiane Carvalho
Rosa, Sttela Dellyzete Veiga Franco
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Clemente, Aline Consolação Sampaio
Cirillo, Marcelo Angelo
Malta, Marcelo Ribeiro
Caixeta, Franciele
Pereira, Cristiane Carvalho
Rosa, Sttela Dellyzete Veiga Franco
dc.subject.por.fl_str_mv Coffea arabica L.
multivariate approach
principal component
Multi-Vari Chart
Coffea arabica L.
abordagem multivariada
componentes principais
Multi-Vari Chart
topic Coffea arabica L.
multivariate approach
principal component
Multi-Vari Chart
Coffea arabica L.
abordagem multivariada
componentes principais
Multi-Vari Chart
description The effects of post-harvest processing and drying operations and storage conditions are relevant factors for consideration in assessing coffee quality. In this respect, depending on the processing and drying conditions, coffee beans may undergo changes in their physicochemical composition, with a direct affect on beverage quality and, consequently, sensory assessment. Univariate statistical techniques are usually used for analysis of the results, but such results may lead to inconsistent interpretations because they do not consider the combined effect of physicochemical and sensory variables. Therefore, the aim of this study is to propose a multivariate approach to the data by a combination of principal component techniques and Multi-Vari Charts which consider the physicochemical and sensory variables together with the post-harvest operations in the assessment of coffee beans quality. Fruit from Coffea arabica L. ‘Catuaí Amarelo IAC 62’ were processed to obtain natural coffee, semi-washed coffee and fully-washed coffee. After processing, the coffees were dried in the shade, in the sun and in mechanical dryers and were kept for twelve months in cold storage at 10ºC and 50% RH, with assessment every four months. We conclude that the use of principal component analysis in conjunction with the graphical technique multivari- chart enables us to understand the combined effects of processing, drying and storage on the chemical and sensory quality of the coffee, as well as their correlations. Observe greater reductions in the final score and conductivity during storage in natural coffees dried in a dryer.
publishDate 2015
dc.date.none.fl_str_mv 2015-05-31
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 https://coffeescience.ufla.br/index.php/Coffeescience/article/view/862
url https://coffeescience.ufla.br/index.php/Coffeescience/article/view/862
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://coffeescience.ufla.br/index.php/Coffeescience/article/view/862/pdf_175
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/862/1410
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/862/1411
dc.rights.driver.fl_str_mv Copyright (c) 2015 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
application/zip
dc.publisher.none.fl_str_mv Editora UFLA
publisher.none.fl_str_mv Editora UFLA
dc.source.none.fl_str_mv Coffee Science - ISSN 1984-3909; Vol. 10 No. 2 (2015); 233 - 241
Coffee Science; Vol. 10 Núm. 2 (2015); 233 - 241
Coffee Science; v. 10 n. 2 (2015); 233 - 241
1984-3909
reponame:Coffee Science (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Coffee Science (Online)
collection Coffee Science (Online)
repository.name.fl_str_mv Coffee Science (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv coffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com
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