A Discrimination Method Based on Two-Dimensional Near-infrared Correlation Spectrum Using Feature Cut Spectrum to Discriminate Milk Doped with Urea

Abstract

The invention belongs to the field of detection methods, in particular to a method for discriminating urea doped in milk based on two-dimensional near-infrared correlation spectrum application feature cut spectrum, comprising the following steps: 1. Prepare pure urea powder, pure milk and different concentrations of doped urea Mixed urea milk; 2. Obtain the one-dimensional near-infrared spectrum data of pure urea powder, pure milk and milk doped with urea at different concentrations; 3. Determine the characteristic near-infrared band of pure urea powder; 4. Perform two-dimensional correlation calculation to obtain the experimental data Use two-dimensional near-infrared correlation spectrum of urea-doped milk; 5. Get the characteristic cut spectrum of all samples; 6. Get the characteristic cut spectrum matrix X of all samples; 7. Multidimensional partial least squares is used for the characteristic spectrum matrix X and the category variable matrix Y The discriminant method establishes a discriminant model; 8. Obtain the characteristic cut spectrum of the unknown sample, and arrange it in rows according to step 6 to obtain the characteristic cut spectrum matrix R of the unknown sample, and substitute it into the discriminant model to realize whether the unknown sample is adulterated. determination.

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.

Images