Use este identificador para citar ou linkar para este item: http://www.repositorio.ufop.br/jspui/handle/123456789/13768
Título: The influence of sensory attributes on overall liking by a gamma regression model : an analysis of Cerrado mixed fruits jams.
Autor(es): Pereira, Patrícia Aparecida Pimenta
Souza, Vanessa Rios de
Schiassi, Maria Cecília Evangelista Vasconcelos
Dias, Ana Clara Costa
Queiroz, Fabiana
Pinheiro, Ana Carla Marques
Borges, Soraia Vilela
Cirillo, Marcelo Ângelo
Palavras-chave: Simplex lattice mixture design
Data do documento: 2021
Referência: PEREIRA, P. A. P. et al. The influence of sensory attributes on overall liking by a gamma regression model: an analysis of Cerrado mixed fruits jams. Food Science and Technology, Campinas, v. 41, n. 3, jul./set. 2021. Disponível em: <https://www.scielo.br/j/cta/a/3nHCCCNFQkRNDLMNjvhhmNd/?lang=en>. Acesso em: 10 jun. 2021.
Resumo: Factors that influence the acceptability and preferences of consumers have been perceived as sensory attributes, such as color, appearance, flavor, and texture. Understanding which attributes are most important for overall liking would be helpful to establish meaningful criteria for product grading. Thus, in addition to the overall chemical and sensory qualities, it is important to appreciate which sensory attributes make a product pleasant or unpleasant to a consumer. In this context, the aim of this study was to evaluate the sensory attribute that contributes most to the overall liking by a gamma regression model using different formulations of mixed fruit jams made with Brazilian Cerrado fruits. Based on the proposed model, we concluded that appearance was the most important predictor of the overall liking of the assessors.
URI: http://www.repositorio.ufop.br/jspui/handle/123456789/13768
DOI: https://doi.org/10.1590/fst.17920
ISSN:  1678-457X
Licença: This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Fonte: o PDF do artigo.
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