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Development of Optimum Operating Conditions for Quality Attributes in Deep-Fat Frying of Dodo Produced from Plantain Using Response Surface Methodology

机译:利用响应面法开发车前草生产的渡渡鸟深油炸中品质属性的最佳操作条件

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Response surface methodology involving historical data design has been successfully developed with the aim of predicting optimum operating conditions for dodo fried from plantain. Frying temperature and time were 150, 160, 170, 180 and 190°C and 2.0, 2.5, 3.0, 3.5 and 4.0 min respectively. The parameters analyzed included moisture content, oil content, texture and change in colour. The fitted functions were optimized for moisture content, oil content, texture and change in colour in order to obtain a product with the acceptable quality attributes. Frying conditions had significant (p R2) of the generated models ranged from 0.91 to 0.99. Optimum frying condition was 177.51°C for 2.10 min. This gave 14.16% moisture content, 1.54% oil content, 2.93 N texture and 40.89 change in colour. Desirability of 0.7 was obtained for optimum conditions. Therefore, the estimated response surface model can be used to optimize the frying process of dodo fried from plantain.
机译:已经成功开发了涉及历史数据设计的响应面方法,旨在预测车前草油炸的渡渡鸟的最佳操作条件。油炸温度和时间分别为150、160、170、180和190℃和2.0、2.5、3.0、3.5和4.0分钟。分析的参数包括水分含量,油含量,质地和颜色变化。拟合函数针对水分含量,油含量,质地和颜色变化进行了优化,以获得具有可接受质量属性的产品。油炸条件具有显着(p R2)的生成模型,范围从0.91到0.99。最佳油炸条件为177.51°C,持续2.10分钟。得到14.16%的水分,1.54%的油含量,2.93N的质地和40.89的颜色变化。对于最佳条件,获得的期望值为0.7。因此,估计的响应面模型可用于优化从车前草中油炸渡渡鸟的油炸过程。

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