Determination of Viscosity, Syneresis and Acceptability of Optimized Yoghurt Analogues from African Yambean (Sphenostylis stenocarpa Hams) and Malted Red Rice (Oryza glabberima)

B. C. Okoronkwo, L. Barber, P. Obinna-Echem
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Abstract

Yoghurt analogues were produced using African yambean (Sphenostylis stenocarpa Hams) and malted red rice (Oryza glabberima). Optimization of the mixture components and process factor was carried out using combined optimal mixture design, viscosity, syneresis and acceptability as responses were analysed. The fitted regression model for viscosity, syneresis and acceptability were all significant (P<0.05) with coefficient of determination (R2) values of 0.9992, 0.9983 and 0.9904 % respectively. The coefficient of variation (cv) values were 0.992, 6.58 and 6.58 % respectively. The lack-of-fit for the models were not significant (P < 0.05). The suitable mathematical models developed for the optimization of the fermentation variables in African yambean and malted red rice yoghurt is highly recommended for the development of a novel non-dairy probiotic yoghurt.
确定非洲山药(Sphenostylis stenocarpa Hams)和麦芽红米(Oryza glabberima)优化酸奶类似物的粘度、滞后性和可接受性
使用非洲山药(Sphenostylis stenocarpa Hams)和麦芽红米(Oryza glabberima)生产酸奶类似物。采用组合优化混合物设计对混合物成分和工艺因素进行了优化,分析了粘度、粘滞性和可接受性。粘度、粘滞性和可接受性的拟合回归模型均显著(P<0.05),决定系数(R2)分别为 0.9992、0.9983 和 0.9904 %。变异系数 (cv) 分别为 0.992、6.58 和 6.58 %。模型的拟合度不显著(P < 0.05)。为优化非洲山药和麦芽红米酸奶中的发酵变量而建立的合适数学模型非常适合用于开发新型非乳制品益生菌酸奶。
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