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Optimization of the level of ingredients for functional dairy beverage using response surface methodology (RSM)

机译:使用响应面法(RSM)优化功能性乳制饮料成分的含量

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摘要

The present investigation was undertaken to optimize the level of ingredients (milk fat, sugar, and mango pulp) for functional dairy beverage using Response Surface Methodology. Central Composite Rotatable Design with milk fat (%), sugar (%), and mango pulp (var. Chaunsa, %) as independent variables produced 20 different combinations that were used to investigate the effect on viscosity (cP), antioxidant activity, and overall acceptability. The response surface three dimensional graphs were plotted as a function of two variables to show the effect of level of ingredients on physico-chemical and sensory properties of the beverage. Significant correlation models were established with the coefficient of correlation (R) greater than 0.8. An optimization of process variables was attempted for maximum antioxidant activity and overall acceptability. ANOVA tables revealed that increase in fat and sugar levels lowered the antioxidant activity, while enhancement of mango pulp significantly increased both antioxidant activity and overall acceptability of the beverage. The optimized levels of ingredients were 0.5% milk fat, 6.0% sugar and 30% mango pulp.
机译:进行了本研究,以使用Response Surface Methodology优化功能性乳制品饮料的成分(乳脂,糖和芒果浆)水平。以牛奶脂肪(%),糖(%)和芒果果肉(var.Chaunsa,%)为自变量的中央复合旋转设计产生了20种不同的组合,用于研究对粘度(cP),抗氧化活性和总体可接受性。将响应表面三维图绘制为两个变量的函数,以显示成分水平对饮料理化和感官特性的影响。建立相关系数(R)大于0.8的重要相关模型。为了最大程度地提高抗氧化剂活性和整体可接受性,尝试了工艺变量的优化。方差分析表显示,脂肪和糖水平的增加降低了抗氧化活性,而芒果果肉的增强则显着提高了饮料的抗氧化活性和总体可接受性。成分的最佳含量为0.5%乳脂,6.0%糖和30%芒果果肉。

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