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Validation of Predicted Baking Performance of Muffins Containing Mixtures of Wheat, Cowpea, Peanut, Sorghum, and Cassava Flours
Author(s) -
HOLT SHONA D.,
MCWATTERS KAY H.,
RESURRECCION ANNA V. A.
Publication year - 1992
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/j.1365-2621.1992.tb05519.x
Subject(s) - sorghum , food science , agronomy , wheat flour , mathematics , chemistry , biology
The performance of seven muffin formulations predicted by computer models to perform similarly to a 100% wheat flour control was studied. An additional formula close to but not within the predicted optimum ranges was included. The nonwheat flours tested were cowpea, peanut, sorghum, and cassava. No significant differences were observed between the formulations for 22 of 31 sensory, physical and compositional characteristics. Two formulations, one containing 25% each of wheat, peanut, sorghum and cassava flours, and the other containing 66.7% wheat and 16.6% each of cowpea and peanut flours differed most from the control. Significant correlations between some sensory attributes and physical and compositional measurements were observed.