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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

A sensometric approach to the development of mortadella with healthier fats

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Autor(es):
Saldana, Erick [1] ; Garcia, Aline de Oliveira [2] ; Selani, Miriam Mabel [3] ; Haguiwara, Marcia M. H. [4] ; de Almeida, Marcio Aurelio [1] ; Siche, Raul [5] ; Contreras-Castillo, Carmen J. [1]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Escola Super Agr Luiz de Queiroz, Dept Agroind Alimentos & Nutr, Av Padua Dias 11, CP 9, BR-13418900 Piracicaba, SP - Brazil
[2] Inst Tecnol Alimentos, Ctr Ciencia & Qualidade Alimentos, Unidade Lab Referencia Anal Fis Sensoriais & Esta, Campinas, SP - Brazil
[3] Univ Fed Sao Carlos, Ctr Ciencias Nat, Campus Lagoa Sino, Buri, SP - Brazil
[4] Inst Tecnol Alimentos, Ctr Tecnol Carnes, Campinas, SP - Brazil
[5] Univ Nacl Trujillo, Fac Ciencias Agr, Av Juan Pablo 2 S-N, Ciudad Univ, Trujillo - Peru
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: MEAT SCIENCE; v. 137, p. 176-190, MAR 2018.
Citações Web of Science: 14
Resumo

The aim of this study was to evaluate the sensory characteristics of mortadellas with different fat contents using Descriptive Analysis (DA) and Check-all-that-apply (CATA) questions and their relationship with overall liking (OL). Five mortadella samples were studied. Sample 1, containing 16% fat. Sample 2 was formulated with 8% fat. Samples 3 and 4 were prepared by replacing 50% fat by a pre-emulsion composed of fish, canola and olive oil. A commercial fat-reduced sample was also studied. The sensory characteristics of the samples were evaluated by DA. Besides, eighty-four consumers evaluated their OL using a 9-point scale and answered the CATA questions. Replacement or reduction of fat caused changes in the sensory characteristics of the samples. Commercial mortadella was the most liked. CATA questions along with penalty analysis and partial least squares regression (PLSR) of dummy variables on the OL helped to identify the attributes to be changed in the mortadella formulations. (AU)

Processo FAPESP: 13/05359-7 - Impactos da substituição e redução de gordura animal nas características físicas, químicas e sensoriais de mortadela Bologna
Beneficiário:Carmen Josefina Contreras Castillo
Linha de fomento: Auxílio à Pesquisa - Regular