Method for discriminating urea doped in milk based on two-dimensional near-infrared correlation spectrum application characteristic spectrum cutting

Abstract

The invention belongs to the field of detection methods, and particularly relates to a method for discriminating urea doped in milk based on two-dimensional near-infrared correlation spectrum application characteristic spectrum cutting. The method comprises the following steps: 1, preparing pure urea powder, pure milk and urea-doped milk with different concentrations; 2, obtaining one-dimensionalnear infrared spectrum data of the pure urea powder, the pure milk and the urea-doped milk with different concentrations; 3, determining a characteristic near-infrared wave band of the pure urea powder; 4, carrying out two-dimensional correlation calculation to obtain a urea-doped milk two-dimensional near-infrared correlation spectrum for experiments; 5, obtaining characteristic cut spectrums ofall samples; 6, obtaining a characteristic spectrum cutting matrix X of all samples; 7, establishing a discrimination model through the characteristic spectrum matrix X and the category variable matrix Y by adopting a multi-dimensional partial least square discrimination technology; and 8, obtaining a characteristic cut spectrum of an unknown sample, arranging the characteristic cut spectrums in rows according to step 6 to obtain a characteristic cut spectrum matrix R of the unknown sample, and substituting the characteristic cut spectrum matrix R into the judgment model to determine whether the unknown sample is doped or not.

Description

technical field [0001] The invention belongs to the field of detection methods, and relates to the detection of adulterated milk, in particular to a method for distinguishing milk doped with urea based on two-dimensional near-infrared correlation spectrum and applying characteristic cut spectrum. Background technique [0002] Milk is the only food in the initial stage of people's life. With the rapid development of society and the improvement of people's living standards, milk has increasingly become a daily drink in our daily life. Milk is very rich in trace elements. Milk has the functions of moisturizing the intestines and dryness, and also has the function of delaying facial aging and slowing down the aging of people's brain, so it is welcomed by consumers. However, many unscrupulous traders, in order to obtain huge profits, often add some adulterants different from the inherent components of milk to milk. These adulterated milk directly endanger human health, and there...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies in the prior art, the present invention provides a method for discriminating milk doped with urea based on two-dimensional near-infrared correlation spectrum application characteristic cut spectrum, using adulterant characteristic cut spectrum to model and analyze adulterated milk, This detection method not only effectively extracts the characteristic information of trace adulterants in milk, but also compresses the data, and overcomes the problem of low efficiency of direct modeling based on two-dimensional correlation spectrum. The method is simple, scientific, and has high analysis efficiency and prediction accuracy.

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