首页> 外文会议>Annual conference of China Agriculture Systerm Engineering Society >Optimization of Extract Conditions of Protein from Wheat Bran by Enzymatic Process Using Responses Surface Methodology
【24h】

Optimization of Extract Conditions of Protein from Wheat Bran by Enzymatic Process Using Responses Surface Methodology

机译:用响应表面方法通过酶法优化小麦麸的蛋白质提取物条件

获取原文

摘要

Response Surface Methodology (RSM) consists of a series of mathematic and statistical methods, and can be used to determine the effect of factors and their interactions to dependent variables during processing. Established mathematical model can be used to express the relationship between response values and factors exactly and to predict experimental value under different process conditions. On the basis of single factor test, RSM is used to optimize the enzymatic extraction conditions of protein from wheat bran. The optimum conditions are: 57.9°C, pH8.4, E/S 5.8%, substrate concentration 9.3 %, time 2h. The results of verification of the model and analysis of variance (ANOVA) for the model show that the model is significant (p<0.01) and can be used to predict the protein yields under different extract conditions.
机译:响应表面方法(RSM)由一系列数学和统计方法组成,可用于确定在处理期间对因子的影响及其与依赖变量的相互作用。建立的数学模型可用于表达响应值与因素之间的关系,并在不同的过程条件下预测实验值。在单因素试验的基础上,RSM用于优化小麦麸的蛋白质的酶促提取条件。最佳条件是:57.9°C,pH8.4,E / S 5.8%,底物浓度为9.3%,时间2h。模型的验证结果和差异分析(ANOVA)表明该模型是显着的(P <0.01),可用于预测不同提取物条件下的蛋白质产量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号