Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Prediction models to evaluate baking quality instruments for commercial wheat flour
Prediction models to evaluate baking quality instruments for commercial wheat flour
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Louise Selga
,
Eva Johansson
,
Roger Andersson
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
Cereal Chemistry
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://onlinelibrary.wiley.com/doi/10.1002/cche.10772
Similar Items
Nutritional aspects of composite flours for baked and extruded products: A review
by: Carolina A. A. Amadeu, et al.
Published: (2024)
Predicting wheat flour quality for making Japanese sponge cake using flour pasting properties as measured by the Rapid Visco Analyzer
by: Andrew L. Mense, et al.
Published: (2024)
Prior roasting of wheat impacts on the functionality of flour prepared from it: Part 1. Wheat flour viscosifying properties
by: Jana van Rooyen, et al.
Published: (2024)
A functional bread produced by supplementing wheat flour with high β‐glucan hull‐less barley flour
by: Hamit Koksel, et al.
Published: (2024)
Quality and nutritional attributes of whole einkorn flour and its suitability for fresh noodle production compared to whole wheat flour
by: Jeongeon Kim, et al.
Published: (2024)