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Water mobility and microstructure of gluten network during dough mixing using TD NMR.
Dufour, Maude; Foucat, Loïc; Hugon, Florence; Dugué, Aurore; Chiron, Hubert; Della Valle, Guy; Kansou, Kamal; Saulnier, Luc.
  • Dufour M; INRAE, UR BIA, F-44316 Nantes, France; La Boulangère & Co, F-85140 Essarts en Bocage, France.
  • Foucat L; INRAE, UR BIA, F-44316 Nantes, France; INRAE, PROBE Research Infrastructure, BIBS Facility, F-44316 Nantes, France.
  • Hugon F; La Boulangère & Co, F-85140 Essarts en Bocage, France.
  • Dugué A; La Boulangère & Co, F-85140 Essarts en Bocage, France.
  • Chiron H; INRAE, UR BIA, F-44316 Nantes, France.
  • Della Valle G; INRAE, UR BIA, F-44316 Nantes, France.
  • Kansou K; INRAE, UR BIA, F-44316 Nantes, France.
  • Saulnier L; INRAE, UR BIA, F-44316 Nantes, France. Electronic address: luc.saulnier@inrae.fr.
Food Chem ; 409: 135329, 2023 May 30.
Article en En | MEDLINE | ID: mdl-36599290
This work aimed to establish the relationships between flour components, dough behaviour and changes in water distribution at mixing. TD NMR was used to track water distribution in dough during mixing for different mixing times and hydration levels. Four commercial wheat flours with distinct characteristics were expressly selected to exhibit various dough behaviours at mixing. TD NMR measurements of mixed dough samples revealed four to five water mobility domains depending on the flour type and the mixing modality. A classification tree procedure was used to identify characteristic patterns of water mobility in dough, called hydration states (HS). The HS changes with experimental conditions are highly dependent on flour characteristics, and HS were assigned to physical/chemical changes in the gluten network during dough formation. This study proposes an interpretation of the water distribution in dough based on gluten network development. This will help to adapt the mixing process to the flour characteristics.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Pan / Glútenes Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Pan / Glútenes Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article