Sukumar Aryasree, Gurumoorthi P, Athmaselvi K A
Department of Food Process Engineering, School of Bioengineering, SRM IST, Kattankulathur, Chengalpattu, Tamilnadu 603203 India.
Center for Excellence in Grain Science, IIFPT, Thanjavur, Tamilnadu 613005 India.
J Food Sci Technol. 2023 Mar;60(3):1117-1124. doi: 10.1007/s13197-022-05616-9. Epub 2022 Nov 22.
Current research aims to evaluate the effect of high shear extrusion on quinoa, finger millet, and red rice composite flour-based breakfast cereal using response surface methodology with extruder barrel temperature (120-130 °C), screw speed (320-350 rpm) and feed moisture content (10-20 g/100 g) as independent variables. Product responses were fitted on to mathematical model using second-order polynomial equations. Multiple regression analysis of data revealed the high statistical significance of respective mathematical models. Numeric optimization based on acceptable product characteristics revealed optimized processing conditions (barrel temperature 130 °C, screw speed 350 RPM, and feed moisture content 20 g/100 g) with a desirability of 0.9373. Extrudates developed using selected processing conditions along with optimized ones and control were characterized for their nutrient profile and crystallinity. Breakfast cereal developed using optimized processing conditions showed a better nutritional profile and reduction in crystallinity of product after high shear extrusion processing represented starch gelatinization.
当前的研究旨在使用响应面法,以挤出机机筒温度(120 - 130°C)、螺杆转速(320 - 350转/分钟)和进料水分含量(10 - 20克/100克)作为自变量,评估高剪切挤压对藜麦、龙爪稷和红米复合粉基早餐谷物的影响。使用二阶多项式方程将产品响应拟合到数学模型上。数据的多元回归分析显示了各个数学模型具有高度统计学意义。基于可接受的产品特性进行数值优化,得出了优化的加工条件(机筒温度130°C、螺杆转速350转/分钟、进料水分含量20克/100克),可取性为0.9373。使用选定的加工条件以及优化条件和对照条件制备的挤出物,对其营养成分和结晶度进行了表征。使用优化加工条件开发的早餐谷物在高剪切挤压加工后显示出更好的营养成分,且产品结晶度降低,这代表淀粉发生了糊化。