Asare Emmanuel Kwasi, Sefa-Dedeh Samuel, Sakyi-Dawson Esther, Afoakwa Emmanuel Ohene
Department of Nutrition and Food Science, University of Ghana, Legon, Accra.
Int J Food Sci Nutr. 2004 Aug;55(5):431-9. doi: 10.1080/09637480400003238.
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.
采用响应面法(k = 3时采用中心复合旋转设计)研究单螺杆挤出机中挤压大米-豇豆-花生混合物的产品特性。豇豆(0-20%)、花生(0-10%)和进料水分(14-48%)水平的综合影响用于产品配方。使用标准分析方法研究产品水分、膨胀率、堆积密度和总颜色变化。在低进料水分条件下生产出了膨胀良好、堆积密度较小且水分含量较低的大米-豆类混合挤出物。增加豆类添加量会影响产品的各种颜色深浅。为这些指标建立的模型的R(2)值范围为52.8%(b值)至86.5%(堆积密度)。所建立的模型表明,用大米-豇豆-花生混合物生产具有增强营养和海绵状结构的膨化零食的最佳工艺变量是14-20%的低进料水分以及20%的最大豇豆添加量和10%的最大花生添加量。失拟检验显示无显著性,表明模型充分拟合了数据。