Title
Application of image analysis to optimization of the bread-making process based on the acceptability of the crust color
Date Issued
01 March 2017
Access level
metadata only access
Resource Type
journal article
Publisher(s)
Academic Press
Abstract
Consumption of bread and the demands concerning its quality features, being one of them its appearance, have been experiencing rapid growth. Thus, the standardization of its production aiming to keep its quality, applying new methods. The objective of this research was to develop a method to optimize the bread-making processes based on the acceptability of its crust color. For this effect, bread was experimentally produced using a Box-Behnken experimental design with three factors (sugar-flour relation, Baking temperature and Baking time) and three answer variables (L*, a*, b* = parameters of CIELab color space); determination of color, by means of the acquisition, pre-processing, and analysis of images of bread samples until getting the color expressed in CIELab coordinates; an analysis of sensorial acceptance was made determining the L*, a*, and b* with the highest acceptance by consumers; finally, the optimization of the production process was made based on the L*, a*, and b* parameters, getting the optimal production parameters. The results show that by using the proposed method, it is possible to correlate the parameters of CIELab color space and the acceptance of the final consumer aiming to optimize bread making processes, it means getting bread with crust color of maximum acceptability.
Start page
194
End page
199
Volume
74
Language
English
OCDE Knowledge area
Alimentos y bebidas
Subjects
Scopus EID
2-s2.0-85014016256
Source
Journal of Cereal Science
ISSN of the container
07335210
Sources of information:
Directorio de Producción Científica
Scopus