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Establishment of Nondestructive Testing Model of the Protein Content in wheat flour By Near Infrared Spectroscopy

机译:近红外光谱法建立小麦粉蛋白质含量的无损检测模型

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The 107 samples of wheat flour were scanned directly by NIRS and their protein contents were, measured by Joe Dumars combustion method. The protein content model was built up using near infrared spectroscopy (INIRS) and the FOSS system as the analyzer. The influences on the model of factors, such as the mathematics methods and optics treatment methods were studied. Experimental results indicated that the optimal model was built by using the Modified partial least square (MPLS) under none scattering approach and two rank differential coefficient derivative preprocessing method, its standard deviation of cross validation (SECV) was 0.4112%, fore cast standard deviation(SEP) was 0.492%, predicted RSQ was 0.937. To sum up, the NIRS technique can realize fast detection of flour protein content and provide technical support for food regulator when they are monitoring the flour market.
机译:用NIRS直接扫描107份小麦粉样品,并用Joe Dumars燃烧法测量其蛋白质含量。使用近红外光谱(INIRS)和FOSS系统作为分析仪建立蛋白质含量模型。研究了数学方法和光学处理方法等因素对模型的影响。实验结果表明,采用无散射法和二阶微分系数导数预处理的改进偏最小二乘(MPLS)方法建立了最优模型,其交叉验证标准差(SECV)为0.4112%,预测标准差为( SEP)为0.492%,预计RSQ为0.937。综上所述,NIRS技术可以实现面粉蛋白质含量的快速检测,并为食品监管者在监测面粉市场时提供技术支持。

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