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metadata.artigo.dc.title: Application of a check-all-that-apply question for evaluating and characterizing meat products
metadata.artigo.dc.creator: Jorge, Élida da Conceição
Mendes, Andressa Cristina Gaione
Auriema, Bruna Emygdio
Cazedey, Henrique Pereira
Fontes, Paulo Rogério
Ramos, Alcinéia de Lemos Souza
Ramos, Eduardo Mendes
metadata.artigo.dc.subject: Check-all-that-apply
Meat products - Characterization
Meat products - Sensory analysis
Mortadella - Instrumental analysis
Produtos de carne - Caracterização
Produtos de carne - Análise sensorial
Mortadela - Análise instrumental
metadata.artigo.dc.publisher: Elsevier Feb-2015
metadata.artigo.dc.identifier.citation: JORGE, E. da C. et al. Application of a check-all-that-apply question for evaluating and characterizing meat products. Meat Science, Barking, v. 100, p. 124-133, Feb. 2015.
metadata.artigo.dc.description.abstract: Four different mortadella samples were technologically characterized by physical/chemical and instrumental analyses and were sensorially characterized by acceptance testing and check-all-that-apply (CATA) questions. Samples were divided into three groups by using a principle component analysis (PCA) of the technological characteristics and by using an internal preference map (IPM) of the sensory attributes from the acceptance test. CATA divided these samples into four different external preference map (EPM) groups because each sample was associated with different sensory attributes. The PCA indicated that there was a relationship between the instrumental color and texture analyses and the CATA attributes, whereby identifying the terms that positively or negatively contributed to sample acceptance. The CATA questions effectively discriminated between the meat products regarding their sensory characteristics. In addition, these attributes were linked to chemical and instrumental quality parameters. Thus, the CATA questions are a potential tool for evaluating and developing novel products.
metadata.artigo.dc.language: en_US
Appears in Collections:DCA - Artigos publicados em periódicos

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