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首页> 外文期刊>Journal of Food Science and Technology >Effect of process and machine parameters on physical properties of extrudate during extrusion cooking of sorghum, horse gram and defatted soy flour blends.
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Effect of process and machine parameters on physical properties of extrudate during extrusion cooking of sorghum, horse gram and defatted soy flour blends.

机译:工艺和机器参数对高粱,马克和脱脂大豆粉混合物挤出蒸煮过程中挤出物物理性能的影响。

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摘要

Extrusion cooking of sorghum (Sorghum vulgaris), horse gram (Dolichos biflorus) and defatted soy (Glycine max) flour blends was done to prepare snacks by using a Brabender single-screw laboratory extruder. The combined effect of moisture content, blend ratio of feed, barrel temperature and screw speed of extruder on physical parameters of extrudate was studied. It was observed that 15% moisture content of feed, 80:10:10 (sorghum flour: horse gram flour: defatted soy flour) of blend ratio, 130 degrees C barrel temperature and 130 rpm of screw speed gave the highest sectional expansion index and longitudinal expansion index of extrudate, while 12% moisture content, 75:15:10 of blend ratio of feed, 135 degrees C of barrel temperature and 135 rpm of screw speed gave lowest bulk density of extrudate. A central composite rotable design (CCRD) of response surface methodology was used to develop prediction model. Second order quadratic regression model fitted adequately in the variation. The significance was established at P <= 0.05. It was also observed that increasing feed moisture content results in a higher density and lower expansion of extrudate. Increasing barrel temperature and screw speed reduced density but increased expansion of extrudate. copyright Association of Food Scientists & Technologists (India) 2011.
机译:使用Brabender单螺杆实验室挤出机对高粱(Sorghum vulgaris),马克(Dolichos biflorus)和脱脂大豆(Glycine max)面粉混合物进行挤压蒸煮,以制备小吃。研究了水分含量,进料配合比,挤出机料筒温度和螺杆转速对挤出物物理参数的综合影响。观察到,混合比,130℃的筒温和130 rpm的螺杆转速的15%进料,80:10:10(高粱粉:马克粉:脱脂大豆粉)的水分含量最高,截面膨胀指数和挤出物的纵向膨胀指数,水分含量为12%,进料混合比为75:15:10,料筒温度为135℃,螺杆速度为135 rpm时,挤出物的堆积密度最低。响应面方法的中央复合可旋转设计(CCRD)用于开发预测模型。二阶二次回归模型可以很好地拟合变化。显着性确定为P <= 0.05。还观察到进料水分含量的增加导致挤出物的更高密度和更低膨胀。机筒温度和螺杆速度的增加降低了密度,但增加了挤出物的膨胀。印度食品科学家和技术人员协会版权所有2011。

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