首页> 外文期刊>Journal of Food Science and Technology >Optimization of process parameters for extrusion cooking of low amylose rice flour blended with seeded banana and carambola pomace for development of minerals and fiber rich breakfast cereal
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Optimization of process parameters for extrusion cooking of low amylose rice flour blended with seeded banana and carambola pomace for development of minerals and fiber rich breakfast cereal

机译:优化低直链淀粉米粉与香蕉籽和杨桃果渣的混合膨化蒸煮工艺参数,以开发矿物质和富含纤维的早餐谷物

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摘要

The low-amylose rice flour, seeded banana (Musa balbisiana, ABB) and carambola (Averrhoa carambola L.) pomace blends were extruded to prepare ready to eat breakfast cereal in a single-screw extruder. Response surface methodology using a central composite design was used to evaluate effect of independent variables, namely blend ratio (80:10:10 - 60:30:10 of low-amylose rice flour, seeded banana and carambola pomace), screw speed (200 - 400 rpm), barrel temperature (90 - 130 C-A degrees) and feed moisture content (9 - 21 g/100 g, wet basis) on product responses. Quadratic polynomial equations were also obtained by multiple regression analysis. The predicted models were adequate based on lack-of-fit test and coefficient of determination obtained. The feed moisture content had critical effect on all response variables. The compromised optimal conditions obtained by numerical integration for development of extrudates were: screw speed of 350 rpm, barrel temperature of 120 C-A degrees, feed moisture content of 12 g/100 g and 65:25:10 of blend ratio of feed. In the optimized condition low-amylose rice blend is found to have better physicochemical properties (water absorption index of 481.79 g/100 g; water solubility index of 44.13 g/100 g) and dietary fiber content of 21.35 g/100 g respectively. The developed breakfast cereal showed considerable amount of minerals (Mg and K) and overall acceptability was found to be 7.8.
机译:将低直链淀粉米粉,种子香蕉(Musa balbisiana,ABB)和杨桃(Averrhoa carambola L.)果渣混合料挤出,以准备在单螺杆挤出机中食用早餐谷物。使用中央复合设计的响应面方法评估独立变量的效果,即混合比(低直链米粉,种子香蕉和杨桃果渣的比例为80:10:10-60:30:10),螺杆转速(200 -400 rpm),料筒温度(90-130 CA度)和进料水分含量(9-21 g / 100 g,湿基),取决于产品响应。还通过多元回归分析获得了二次多项式方程。基于缺乏拟合检验和获得的确定系数,预测模型是足够的。进料水分含量对所有响应变量均具有关键影响。通过数值积分获得的用于挤出物开发的最佳条件是:螺杆速度为350 rpm,料筒温度为120 C-A度,进料水分含量为12 g / 100 g和进料混合比为65:25:10。在优化条件下,发现低直链米糊具有更好的理化特性(吸水指数为481.79 g / 100 g;水溶性指数为44.13 g / 100 g)和膳食纤维含量分别为21.35 g / 100 g。发达的早餐谷物显示出大量的矿物质(镁和钾),总体可接受性为7.8。

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