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青稞挤压糊化粉的研制
引用本文:孙志坚,张敏,刘明,谭斌,殷东,高乐,孙菲菲.青稞挤压糊化粉的研制[J].北京轻工业学院学报,2014(1):27-33.
作者姓名:孙志坚  张敏  刘明  谭斌  殷东  高乐  孙菲菲
作者单位:[1]东北农业大学食品学院,黑龙江哈尔滨150030 [2]北京工商大学食品添加剂与配料北京高校工程研究中心,北京100048 [3]国家粮食局科学研究院,北京100037
基金项目:国家“十二五”科技支撑计划项目(2012BAD34B05).
摘    要:以青稞粉为原料,采用双螺杆挤压改性方法加工速食营养粉,研究挤压温度、螺杆转速和物料水分对物料品质的影响规律,并通过二次旋转正交组合实验(响应面实验),优化营养粉工艺参数.结果表明,物料水分、螺杆转速和挤压温度对于青稞营养粉产品品质影响显著(P<0.05).响应面试验得出速食营养粉的较优加工条件:螺杆转速290 r/min,温度165℃和水分含量16.5%.在此优化条件获得青稞预糊化粉的各项指标为:膨化度3.14,吸水指数5.92,容重0.53,碘呈色度5.44.

关 键 词:青稞  速食营养粉  双螺杆挤压  工艺参数  响应面优化

Development of Highland Barley Powder Extrusion Gelatinization
SUN Zhi-jian,ZHANG Min,LIU Ming,TAN Bin,YIN Dong,GAO Le,SUN Fei-fei.Development of Highland Barley Powder Extrusion Gelatinization[J].Journal of Beijing Institute of Light Industry,2014(1):27-33.
Authors:SUN Zhi-jian  ZHANG Min  LIU Ming  TAN Bin  YIN Dong  GAO Le  SUN Fei-fei
Affiliation:1. Food College, Northeast Agricultural University, Harbin 150030, China ; 2. Beijing Higher Institution Engineering Research Center of Food Additives and Ingredients, Beijing Technology and Business University, Beijing 100048, China; 3. Academy of State Administration of Grain, Beijing 100037, China)
Abstract:Using the twin-screw extrusion modification methods to process instant nutrition powder, the technological parameters: extrusion temperature, material moisture content, screw speed on the physico- chemical properties of the product quality characteristics were studied. The results indicated that material moisture content, screw speed, and extrusion temperature significantly affected (P 〈 0.05) the quality of barley nutrition powder product. The response surface experiment showed that the optimum processing conditions of instant nutrition powder were screw speed of 290 r/rain, temperature of 165 ℃, and mois- ture content of 16.5%. The indicators of barley pre-gelatinized flour obtained under the optimal eondi- tions were expanded degrees 3.14, injectivity index 5.92, density 0.53, and IOD 5.44
Keywords:barley  instant nutrition powder  twin-screw extrusion  process parameters  response sur-face optimizing
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