Sensory evaluation of "dulce de leche" with coffee and whey using different affective data analysis methods
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , |
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=S0101-20612011000400028 |
Resumo: | This study sought to evaluate the acceptance of "dulce de leche" with coffee and whey. The results were analyzed through response surface, ANOVA, test of averages, histograms, and preference map correlating the global impression data with results of physical, physiochemical and sensory analysis. The response surface methodology, by itself, was not enough to find the best formulation. For ANOVA, test of averages, and preference map it was observed that the consumers' favorite "dulce de leche" were those of formulation 1 (10% whey and 1% coffee) and 2 (30% whey and 1% coffee), followed by formulation 9 (20% whey and 1.25% coffee). The acceptance of samples 1 and 2 was influenced by the higher acceptability in relation to the flavor and for presenting higher pH, L*, and b* values. It was observed that samples 1 and 2 presented higher purchase approval score and higher percentages of responses for the 'ideal' category in terms of sweetness and coffee flavor. It was found that consumers preferred the samples with low concentrations of coffee independent of the concentration of whey thus enabling the use of whey and coffee in the manufacture of dulce de leche, obtaining a new product. |
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Sensory evaluation of "dulce de leche" with coffee and whey using different affective data analysis methodsmilk productacceptance testsensory analysisThis study sought to evaluate the acceptance of "dulce de leche" with coffee and whey. The results were analyzed through response surface, ANOVA, test of averages, histograms, and preference map correlating the global impression data with results of physical, physiochemical and sensory analysis. The response surface methodology, by itself, was not enough to find the best formulation. For ANOVA, test of averages, and preference map it was observed that the consumers' favorite "dulce de leche" were those of formulation 1 (10% whey and 1% coffee) and 2 (30% whey and 1% coffee), followed by formulation 9 (20% whey and 1.25% coffee). The acceptance of samples 1 and 2 was influenced by the higher acceptability in relation to the flavor and for presenting higher pH, L*, and b* values. It was observed that samples 1 and 2 presented higher purchase approval score and higher percentages of responses for the 'ideal' category in terms of sweetness and coffee flavor. It was found that consumers preferred the samples with low concentrations of coffee independent of the concentration of whey thus enabling the use of whey and coffee in the manufacture of dulce de leche, obtaining a new product.Sociedade Brasileira de Ciência e Tecnologia de Alimentos2011-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612011000400028Food Science and Technology v.31 n.4 2011reponame:Food Science and Technology (Campinas)instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)instacron:SBCTA10.1590/S0101-20612011000400028info:eu-repo/semantics/openAccessFerreira,Larissa OliveiraPimenta,Carlos JoséPinheiro,Ana Carla MarquesPereira,Patrícia Aparecida PimentaSantos,Gabriellaeng2012-02-06T00:00:00Zoai:scielo:S0101-20612011000400028Revistahttp://www.scielo.br/ctaONGhttps://old.scielo.br/oai/scielo-oai.php||revista@sbcta.org.br1678-457X0101-2061opendoar:2012-02-06T00:00Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)false |
dc.title.none.fl_str_mv |
Sensory evaluation of "dulce de leche" with coffee and whey using different affective data analysis methods |
title |
Sensory evaluation of "dulce de leche" with coffee and whey using different affective data analysis methods |
spellingShingle |
Sensory evaluation of "dulce de leche" with coffee and whey using different affective data analysis methods Ferreira,Larissa Oliveira milk product acceptance test sensory analysis |
title_short |
Sensory evaluation of "dulce de leche" with coffee and whey using different affective data analysis methods |
title_full |
Sensory evaluation of "dulce de leche" with coffee and whey using different affective data analysis methods |
title_fullStr |
Sensory evaluation of "dulce de leche" with coffee and whey using different affective data analysis methods |
title_full_unstemmed |
Sensory evaluation of "dulce de leche" with coffee and whey using different affective data analysis methods |
title_sort |
Sensory evaluation of "dulce de leche" with coffee and whey using different affective data analysis methods |
author |
Ferreira,Larissa Oliveira |
author_facet |
Ferreira,Larissa Oliveira Pimenta,Carlos José Pinheiro,Ana Carla Marques Pereira,Patrícia Aparecida Pimenta Santos,Gabriella |
author_role |
author |
author2 |
Pimenta,Carlos José Pinheiro,Ana Carla Marques Pereira,Patrícia Aparecida Pimenta Santos,Gabriella |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Ferreira,Larissa Oliveira Pimenta,Carlos José Pinheiro,Ana Carla Marques Pereira,Patrícia Aparecida Pimenta Santos,Gabriella |
dc.subject.por.fl_str_mv |
milk product acceptance test sensory analysis |
topic |
milk product acceptance test sensory analysis |
description |
This study sought to evaluate the acceptance of "dulce de leche" with coffee and whey. The results were analyzed through response surface, ANOVA, test of averages, histograms, and preference map correlating the global impression data with results of physical, physiochemical and sensory analysis. The response surface methodology, by itself, was not enough to find the best formulation. For ANOVA, test of averages, and preference map it was observed that the consumers' favorite "dulce de leche" were those of formulation 1 (10% whey and 1% coffee) and 2 (30% whey and 1% coffee), followed by formulation 9 (20% whey and 1.25% coffee). The acceptance of samples 1 and 2 was influenced by the higher acceptability in relation to the flavor and for presenting higher pH, L*, and b* values. It was observed that samples 1 and 2 presented higher purchase approval score and higher percentages of responses for the 'ideal' category in terms of sweetness and coffee flavor. It was found that consumers preferred the samples with low concentrations of coffee independent of the concentration of whey thus enabling the use of whey and coffee in the manufacture of dulce de leche, obtaining a new product. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612011000400028 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612011000400028 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0101-20612011000400028 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Ciência e Tecnologia de Alimentos |
publisher.none.fl_str_mv |
Sociedade Brasileira de Ciência e Tecnologia de Alimentos |
dc.source.none.fl_str_mv |
Food Science and Technology v.31 n.4 2011 reponame:Food Science and Technology (Campinas) instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA) instacron:SBCTA |
instname_str |
Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA) |
instacron_str |
SBCTA |
institution |
SBCTA |
reponame_str |
Food Science and Technology (Campinas) |
collection |
Food Science and Technology (Campinas) |
repository.name.fl_str_mv |
Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA) |
repository.mail.fl_str_mv |
||revista@sbcta.org.br |
_version_ |
1752126316829736960 |