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Application of response surface methodology for studying the product characteristics of extruded rice-cowpea-groundnut blends

机译:响应面法在研究稻米-w豆-花生共混物产品特性中的应用

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摘要

Response surface methodology (with central composite rotatable design for k = 3) was used to investigate the product properties of extruded rice-cowpea-groundnut blends in a single screw extruder. The combined effect of cowpea (0-20%), groundnut (0-10%), and feed moisture (14-48%) levels were used for formulation of the products. The product moisture, expansion ratio, bulk density and total colour change were studied using standard analytical methods. Well-expanded rice-legume blend extrudates of less bulk density and lower moisture content were produced at low feed moisture. Increasing legume addition affected the various shades of colour in the product. Models developed for the indices gave R-2 values ranging from 52.8% (for the b-value) to 86.5% (for bulk density). The models developed suggested that the optimal process variables for the production of a puffed snack with an enhanced nutrition and spongy structure from a rice-cowpea-groundnut blend are low feed moisture of 14-20% and maximum additions of 20% cowpea and 10% groundnut. A lack-of-fit test showed no significance, indicating that the models adequately fitted the data.
机译:响应面方法(中心复合材料可旋转设计,k = 3)用于研究单螺杆挤出机中挤出的稻米-w豆-花生混合物的产品性能。 of豆(0-20%),花生(0-10%)和饲料水分(14-48%)的综合作用用于配制产品。使用标准分析方法研究了产品的水分,膨胀率,堆积密度和总颜色变化。在饲料水分较低的情况下,生产出膨松度较低,水分含量较低的大米-豆类混合膨化食品。豆类添加量的增加会影响产品中各种颜色的阴影。为该指数开发的模型给出的R-2值范围从52.8%(对于b值)到86.5%(对于堆积密度)。开发的模型表明,从米-牛w-花生混合物中生产营养增强且海绵状结构的膨化零食的最佳工艺变量是低饲料水分(14-20%)和最大添加20%cow豆和10%花生。缺乏拟合测试显示无显着性,表明模型充分拟合了数据。

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