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Development of Guava probiotic dairy beverages: application of mathematical modelling between consumer acceptance degree and whey ratio

机译:番石榴益生菌乳品饮料的发展:在消费者验收度和乳清率之间的应用数学建模

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Twenty One probiotic dairy guava beverages were processed from admixture of cow milk and unsalted Ras cheese whey. 100% cow milk were partly replaced by 20, 35, 50, 65, 80 and 100% vol/vol unsalted Ras cheese whey. Three types of probiotics culture inoculated to the different combinations of milk + whey, namely (2% Lactobacillus acidophilus LA-5 "vol/ vol" "T_1"), (2% Bifidobacterium bavidium vol/vol "T_2") and (1% of both bacteria Lactobacillus acidophilus LA-5 vol/vol" and Bifidobacterium bavidium"T_3 "). Results showed that replacing cow milk by whey had highly significant (p<0.001) effect on pH values of T, treatments. The highest pH values (5.039 to 5.173) were for T_2 treatments, while the lowest values (4.083 to 4.246) were for T treatments.Replacing whey with cow milk had highly significant (p<0.001) effect on pH and counts of both L. aciophilus and B. bavidium. In contrast admixing both bacteria (T3) showed non-significant effect (p=0.609) on B. bavidium as a result of replacing whey bycow milk. Organoleptic evaluation showed higher consumer acceptance degrees, 7.267, 7.567 and 7.767 out of total scoring point degrees (9), for T_1, T_2 and T_3 treatments, respectively at 35% whey replacement beverages. Lower values (5 degrees) was scored for 0% and 80% whey replacement in T treatments, and 3.233 and 3.867 degrees at 100% whey beverage of T_2 and T_3 treatments. Mathematical Modelling was established to explain the relationship between consumer acceptance evaluation degrees (C) and whey ratio replacement (W) at each type of the three starters group. Sinusoidal modelling was resulted with a standard error ranging between (0.3 8 or 0.40).
机译:从牛奶和无盐的Ras乳酪乳清混合物加工了二十一项益生菌犹太族饮料。 100%牛奶部分替代20,35,50,65,80和100%Vol / Vol Unstally Ras Chey。三种类型的益生菌培养物接种到不同组合的牛奶+乳清,即(2%乳酸杆菌酸碱La-5“Vol / Vol”“T_1”),(2%双歧杆菌Bavidium Vol / Vol“T_2”)和(1%细菌乳酸杆菌嗜酸乳杆菌La-5 Vol / Vol“和双歧杆菌”T_3“)。结果表明,用乳清替代牛奶对T,治疗的pH值具有很大的显着(p <0.001)。最高pH值( 5.039至5.173)用于T_2治疗,而最低值(4.083至4.246)对于T治疗。用牛奶的乳清具有极大的显着(p <0.001)对L. Aciophilus和B. Bavidium的影响的影响。 。相比之下,由于更换了乳清的牛奶,Bavidium对Bavidium进行了非显着效果(p = 0.609)。感官评估显示出更高的消费者验收度,7.267,7.567和7.767总分数用于T_1,T_2和T_3治疗的度(9),分别为35%乳清替换饮料。在T_2和T_3治疗的100%乳清饮料中,较低的值(5度)在T处理中的0%和80%的乳清置换,3.233和3.867度。建立了数学建模,以解释每种类型的三个初学者组的消费者验收评估度(c)和乳清率替换(w)之间的关系。正弦建模导致标准误差之间(0.3 8或0.40)。

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