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Use of wheat flour analytical characteristics for predicting the Simulator Mixolab measurements

机译:使用小麦粉分析特性来预测模拟器Mimolab测量

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Data describing the flour analytical characteristics (wet gluten content, gluten deformation index, falling number index, ash content, moisture content, protein content) and dough rheological parameters using the Mixolab device with "Simulator" protocol were analyzed by principal component analysis and multivariate prediction models was developed. Principal component analysis (PCA) identifies that the first two principal components account for 99.81% of the total variance for all the data sets. Significant correlations (p < 0.05 and p < 0.01) between the analytical characteristics of wheat flour and dough rheological parameters were found. The result of backward multiple regressions method related that protein content (PR) and gluten deformation index (GDI) could be used to predict Simulator Mixolab parameters water absorption (CH) and dough weakening (WE), at a 95% confidence interval.
机译:通过主要成分分析和多变量预测分析了使用Mixolab器件的混合物装置的面粉分析特性(湿麸质含量,含麸种含量,含量,水分,蛋白质,蛋白质,蛋白质,蛋白质含量,蛋白质含量,蛋白质含量)和面团流变参数模型是开发的。主成分分析(PCA)识别前两个主要组件占所有数据集总方差的99.81%。发现小麦粉和面团流变参数的分析特征之间的显着相关性(P <0.05和P <0.01)。落后多元回归方法的结果相关的蛋白质含量(PR)和麸质变形指数(GDI)可用于预测模拟器Mixolab参数吸水(CH)和面团弱化(我们),以95%的置信区间。

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