Near-infrared autocorrelation spectrum detection method for melamine doped in milk powder

Abstract

The invention discloses a near-infrared autocorrelation spectrum detection method for melamine doped in milk powder. The method comprises the following steps: (1) preparing pure milk and milk powders doped by melamine with different concentrations; (2) scanning the near-infrared spectra of the pure milk and the milk powders doped by melamine; (3) carrying out calculation so as to obtain a synchronous two-dimensional near-infrared correlation spectrum matrix of the milk powders doped by melamine; (4) extracting elements on a principal diagonal of the synchronous two-dimensional near-infrared correlation spectrum matrix so as to obtain an autocorrelation spectrum matrix; (5) establishing a quantitative analysis model by using a partial least squares method; and (6) substituting the quantitative analysis model with the autocorrelation spectrum matrix of an unknown milk powder sample so as to obtain the content of melamine in the unknown milk powder sample. Compared with conventional one-dimensional near-infrared spectroscopy, the method provided by the invention can more effectively extract the characteristic information of trace melamine in milk powder, realizes accurate prediction of the content of melamine in the unknown milk powder sample, shortens modeling time, improves modeling and analysis efficiency and can be applied to adulteration detection of other food.

Description

Technical field [0001] The invention belongs to the field of detection methods, and particularly relates to a near-infrared autocorrelation spectrum detection method in which melamine is mixed in milk powder. Background technique [0002] As an organic chemical raw material, melamine is often incorporated into dairy products by some illegal molecules to increase the protein level of dairy products. This kind of adulterated milk powder can cause harm to consumers' bodies and even death. Therefore, both the Food Administration and consumers urgently need to develop a fast and convenient detection method to monitor all aspects of dairy production to ensure the quality of dairy products. [0003] Near-infrared spectroscopy, as a fast and convenient analytical technique, has been widely used in the quality inspection of dairy products. However, because milk powder has strong light scattering properties, at the same time, due to the miniaturization of melamine blended, and the characte...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies in the prior art, the present invention provides a near-infrared autocorrelation spectrum detection method for milk powder mixed with melamine, which uses autocorrelation spectrum to quantitatively analyze the content of melamine in milk powder. Melamine characteristic information, and overcome the problem of low efficiency of direct modeling based on two-dimensional near-infrared correlation spectrum. This method is simple, scientific, and has high analysis efficiency and prediction accuracy.

Images