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首页> 外文期刊>International Journal of Food Properties >Optimization of Mango Soy Fortified Yogurt Formulation Using Response Surface Methodology
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Optimization of Mango Soy Fortified Yogurt Formulation Using Response Surface Methodology

机译:响应面法优化芒果大豆强化酸奶配方

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The response surface methodology (RSM) was used to optimize the formulation of mango soy fortified yogurt (MSFY). The independent variables were proportions of mango pulp (1.2-13.8%), soymilk (2.39-27.61%), and fat content (0.48-5.52%) of buffalo milk. The responses were overall acceptability rating, counts of Streptococcus thermophilus and Lactobacillus bulgaricus and hardness of the product. Statistical analysis revealed that mango pulp, soymilk, and fat content of buffalo milk significantly affected (95% confidence level) all the responses. Contour plots for each response were used to generate an optimum area by superimposition. Model validation was conducted using separate experiments at optimum conditions. The optimum formulation conditions of 7.1 kg mango pulp (18% total solids), 14.7 kg soymilk (8.2% total solids), and 78.2kg buffalo milk (2.95% fat content and 9% solid not fat) per 100kg are recommended for the blend formulation yielding an acceptable and good quality MSFY.
机译:响应面方法(RSM)用于优化芒果大豆强化酸奶(MSFY)的配方。自变量是芒果浆(1.2-13.8%),豆浆(2.39-27.61%)和水牛乳的脂肪含量(0.48-5.52%)的比例。回答为总体可接受性等级,嗜热链球菌和保加利亚乳杆菌的计数以及产品的硬度。统计分析表明,芒果果肉,豆浆和水牛乳中的脂肪含量显着影响了所有响应(95%置信度)。每个响应的等高线图用于通过叠加生成最佳面积。使用最佳条件下的单独实验进行模型验证。建议的最佳配方条件为每100公斤7.1公斤芒果果肉(占总固形物的18%),14.7公斤豆浆(占总固形物的8.2%)和78.2公斤水牛乳(2.95%的脂肪含量和9%的固体非脂肪)配方产生可接受且优质的MSFY。

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