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METHOD FOR DETECTING MULTIVARIATE ADULTERATION OF EDIBLE OIL BASED ON NEAR-INFRARED SPECTROSCOPY

机译:近红外光谱的食用油多元交替检测方法

摘要

A method for multivariate adulteration detection on an edible oil includes (1) construction of a model: S1, acquiring near-infrared spectra of edible oils; S2, establishing a near-infrared spectral database of the edible oils; S3, establishing a multivariate adulteration detection model for a type of edible oil; and (2) application of the model: acquiring spectra of a sample to be tested according to the near-infrared spectral signal acquisition method in step S1, preprocessing the obtained near-infrared spectra by using the method in step S2 to obtain near-infrared spectral data of the sample, and determining the authenticity of the sample to be tested by using the multivariate adulteration detection model for the edible oil established in step S3. The method is simple and rapid in operation, can effectively and rapidly screen the authenticity of an edible vegetable oil, and has strong practicability.
机译:用于食用油的多元掺假检测的方法包括:(1)建立模型:S1,获取食用油的近红外光谱; S2,建立食用油的近红外光谱数据库; S3,建立一种食用油的多元掺假检测模型; (2)模型的应用:按照步骤S1中的近红外光谱信号采集方法采集待测样品的光谱,并采用步骤S2中的方法对得到的近红外光谱进行预处理,得到近红外光谱。光谱数据,并使用步骤S3中建立的食用油多元掺假检测模型确定待测样品的真实性。该方法操作简便,快速,可以有效,快速地筛选食用植物油的真伪,具有较强的实用性。

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