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Development of gluten-free bread formulations containing whole chia flour with acceptable sensory properties.
Sandri, Luciana T B; Santos, Fernanda G; Fratelli, Camilly; Capriles, Vanessa D.
Afiliação
  • Sandri LTB; Departamento de Biociênciascampus Baixada Santista Universidade Federal de São Paulo Santos São Paulo Brazil.
  • Santos FG; Departamento de Biociênciascampus Baixada Santista Universidade Federal de São Paulo Santos São Paulo Brazil.
  • Fratelli C; Departamento de Biociênciascampus Baixada Santista Universidade Federal de São Paulo Santos São Paulo Brazil.
  • Capriles VD; Departamento de Biociênciascampus Baixada Santista Universidade Federal de São Paulo Santos São Paulo Brazil.
Food Sci Nutr ; 5(5): 1021-1028, 2017 09.
Article em En | MEDLINE | ID: mdl-28948020
Increasing the variety of better-tasting and healthier gluten-free products is important for consumers with gluten-related disorders. This work aimed to develop a gluten-free bread formulation containing whole chia flour with acceptable sensory properties. A mixture design for three ingredients and response surface methodology were used to identify the proportions of potato starch, rice flour and whole chia flour to achieve the best physical properties and result in sensory-accepted products. The physical properties and visual appearance showed that whole chia flour alone is not suitable for bread production. Nevertheless, it is possible to add up to 14% whole chia flour to a rice flour-based gluten-free bread formulation while negligibly diminishing the loaf volume, crumb firmness and crumb moisture. The best formulations were prepared from rice flour blends with 5, 10, and 14% whole chia flour, which received overall acceptability scores of 8.7, 8.1 and 7.9 on a 10-cm scale, respectively, similar to those of their white gluten-free bread and wheat bread counterparts. Incorporating 5%-14% whole chia flour in the formulation increased the levels of ash, lipid, protein and dietary fiber compared to those of the white gluten-free bread.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article