Projective mapping: potential tool for sensory evaluation of coffees for industrial application

Detalhes bibliográficos
Autor(a) principal: Cangussu, Lais Brito
Data de Publicação: 2020
Outros Autores: Rodrigues, Camila Gonçalves, Ribeiro, Milton Cosme, Dutra, Victor Luiz Melo, Amaral, Erick Flávio Guimarães, Fante, Camila Argenta
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/37438
Resumo: Sensory analysis is an important tool to control and improve the quality of food products. This study aimed to evaluate the sensory attributes and consumer preference of coffee beverages prepared from roasted ground coffee (Coffea arabica) of different brands sold in Minas Gerais, Brazil, using projective mapping and assess the relationship of sensory attributes and consumer preferences with physicochemical properties. Titratable acidity, pH, soluble solids, color, crude fat, protein, total phenolic content, caffeine, trigonelline, 5-caffeoylquinic acid and caffeic acid were determined. Physicochemical properties showed good agreement with projective mapping data. Samples associated with high acidity in the projective mapping task had the highest levels of 5-caffeoylquinic acid. Coffees associated with bitter/roasted taste and darker colors had typical physicochemical characteristics and color properties of dark-roasted coffee. The sample perceived as thin had the lowest soluble solids content. Consumers preferred traditional, dark-roasted coffee over gourmet, light-roasted coffee. Projective mapping is an effective technique for assessing the sensory attributes of brewed coffee.
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spelling Projective mapping: potential tool for sensory evaluation of coffees for industrial applicationProjective mapping: potencial ferramenta para avaliação sensorial de cafés para aplicação na indústriaAcidityBitternessCoffea arabicaBodyQuality.AcidezAmargorCoffea arabicaCorpoQualidade.Sensory analysis is an important tool to control and improve the quality of food products. This study aimed to evaluate the sensory attributes and consumer preference of coffee beverages prepared from roasted ground coffee (Coffea arabica) of different brands sold in Minas Gerais, Brazil, using projective mapping and assess the relationship of sensory attributes and consumer preferences with physicochemical properties. Titratable acidity, pH, soluble solids, color, crude fat, protein, total phenolic content, caffeine, trigonelline, 5-caffeoylquinic acid and caffeic acid were determined. Physicochemical properties showed good agreement with projective mapping data. Samples associated with high acidity in the projective mapping task had the highest levels of 5-caffeoylquinic acid. Coffees associated with bitter/roasted taste and darker colors had typical physicochemical characteristics and color properties of dark-roasted coffee. The sample perceived as thin had the lowest soluble solids content. Consumers preferred traditional, dark-roasted coffee over gourmet, light-roasted coffee. Projective mapping is an effective technique for assessing the sensory attributes of brewed coffee.A avaliação dos atributos sensoriais pode ser uma ferramenta importante para controlar e melhorar a qualidade de produtos alimentícios. Este trabalho teve como objetivo descrever sensorialmente amostras de café torrado e moído da espécie arábica de diferentes marcas brasileiras por teste descritivo avançado (projective mapping) e relacionar os dados obtidos com resultados físico-químicos. Foram analisados acidez titulável, pH, sólidos solúveis, cor, lipídeos, proteínas, compostos fenólicos, cafeína, trigonelina, ácido 5-cafeoilquínico e ácido caféico. Os resultados obtidos nas análises físico-químicas foram coerentes com os atributos relacionados aos cafés no projective mapping. Os cafés agrupados no projective mapping próximos ao atributo acidez foram os que apresentaram os maiores valores de ácido 5-cafeoilquínico. Os cafés associados ao sabor amargo/torrado e cor concentrada apresentaram cor mais escura na análise colorimétrica e características físico-químicas de torrefação escura. O café considerado bebida diluída foi o que apresentou menor valor de sólidos solúveis. Os resultados mostraram que o projective mapping é eficiente para análises sensoriais descritivas de café e que o público testado tem preferência por cafés tradicionais com torrefação escura.UEL2020-06-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/3743810.5433/1679-0359.2020v41n5p1557Semina: Ciências Agrárias; Vol. 41 No. 5 (2020); 1557-1566Semina: Ciências Agrárias; v. 41 n. 5 (2020); 1557-15661679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/37438/27521Copyright (c) 2020 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessCangussu, Lais BritoRodrigues, Camila GonçalvesRibeiro, Milton CosmeDutra, Victor Luiz MeloAmaral, Erick Flávio GuimarãesFante, Camila Argenta2022-10-07T15:41:42Zoai:ojs.pkp.sfu.ca:article/37438Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-10-07T15:41:42Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Projective mapping: potential tool for sensory evaluation of coffees for industrial application
Projective mapping: potencial ferramenta para avaliação sensorial de cafés para aplicação na indústria
title Projective mapping: potential tool for sensory evaluation of coffees for industrial application
spellingShingle Projective mapping: potential tool for sensory evaluation of coffees for industrial application
Cangussu, Lais Brito
Acidity
Bitterness
Coffea arabica
Body
Quality.
Acidez
Amargor
Coffea arabica
Corpo
Qualidade.
title_short Projective mapping: potential tool for sensory evaluation of coffees for industrial application
title_full Projective mapping: potential tool for sensory evaluation of coffees for industrial application
title_fullStr Projective mapping: potential tool for sensory evaluation of coffees for industrial application
title_full_unstemmed Projective mapping: potential tool for sensory evaluation of coffees for industrial application
title_sort Projective mapping: potential tool for sensory evaluation of coffees for industrial application
author Cangussu, Lais Brito
author_facet Cangussu, Lais Brito
Rodrigues, Camila Gonçalves
Ribeiro, Milton Cosme
Dutra, Victor Luiz Melo
Amaral, Erick Flávio Guimarães
Fante, Camila Argenta
author_role author
author2 Rodrigues, Camila Gonçalves
Ribeiro, Milton Cosme
Dutra, Victor Luiz Melo
Amaral, Erick Flávio Guimarães
Fante, Camila Argenta
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Cangussu, Lais Brito
Rodrigues, Camila Gonçalves
Ribeiro, Milton Cosme
Dutra, Victor Luiz Melo
Amaral, Erick Flávio Guimarães
Fante, Camila Argenta
dc.subject.por.fl_str_mv Acidity
Bitterness
Coffea arabica
Body
Quality.
Acidez
Amargor
Coffea arabica
Corpo
Qualidade.
topic Acidity
Bitterness
Coffea arabica
Body
Quality.
Acidez
Amargor
Coffea arabica
Corpo
Qualidade.
description Sensory analysis is an important tool to control and improve the quality of food products. This study aimed to evaluate the sensory attributes and consumer preference of coffee beverages prepared from roasted ground coffee (Coffea arabica) of different brands sold in Minas Gerais, Brazil, using projective mapping and assess the relationship of sensory attributes and consumer preferences with physicochemical properties. Titratable acidity, pH, soluble solids, color, crude fat, protein, total phenolic content, caffeine, trigonelline, 5-caffeoylquinic acid and caffeic acid were determined. Physicochemical properties showed good agreement with projective mapping data. Samples associated with high acidity in the projective mapping task had the highest levels of 5-caffeoylquinic acid. Coffees associated with bitter/roasted taste and darker colors had typical physicochemical characteristics and color properties of dark-roasted coffee. The sample perceived as thin had the lowest soluble solids content. Consumers preferred traditional, dark-roasted coffee over gourmet, light-roasted coffee. Projective mapping is an effective technique for assessing the sensory attributes of brewed coffee.
publishDate 2020
dc.date.none.fl_str_mv 2020-06-17
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://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/37438
10.5433/1679-0359.2020v41n5p1557
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/37438
identifier_str_mv 10.5433/1679-0359.2020v41n5p1557
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/37438/27521
dc.rights.driver.fl_str_mv Copyright (c) 2020 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 41 No. 5 (2020); 1557-1566
Semina: Ciências Agrárias; v. 41 n. 5 (2020); 1557-1566
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
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