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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. |
Aparece nas coleções: | DEALI - Artigos publicados em periódicos |
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ARTIGO_InfluenceSensoryAttributes.pdf | 921,97 kB | Adobe PDF | Visualizar/Abrir |
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