학술논문

Nutritional Clustering of Cookies Developed with Cocoa Shell, Soy, and Green Banana Flours Using Exploratory Methods.
Document Type
Article
Source
Food & Bioprocess Technology. Sep2020, Vol. 13 Issue 9, p1566-1578. 13p.
Subject
*CACAO beans
*SELF-organizing maps
*BANANAS
*FLOUR
*COCOA
*PHENOLS
*DIETARY fiber
Language
ISSN
1935-5130
Abstract
The aim of this presented study was to develop and cluster cookies made with cocoa shell, a by-product of the chocolate industry, and nutritionally rich raw materials, soy and green banana flours, according to their nutritional characteristics and to evaluate them sensorially, through exploratory methods. The results of proximate composition, phenolic compounds, antioxidant activity, hardness and color were submitted to Kohonen's self-organizing maps (KSOMs) and the samples trend to form three groups. All treatments showed functional properties due to their high protein content, dietary fiber, phenolic compounds, and antioxidants. All formulations had good sensory acceptance (grades between 6.71 and 7.11) and the simplex-centroid design used to optimize the acceptance was effective. The Check-All-That-Apply (CATA) analysis indicated sensory differences between the treatments. It is concluded that the KSOMs is effective to nutritionally describe and classify samples and cocoa shell, soy, and green banana flours provided nutritional and sensory characteristics acceptable to consumers, making them viable for inclusion in human nutrition. [ABSTRACT FROM AUTHOR]