Infrared spectrum recognition method for adulterated milk

Abstract

The invention relates to an infrared spectrum recognition method for adulterated milk. The method comprises the following steps that pure milk, urea-doped milk and glucose-doped milk are taken as objects of study respectively, an infrared spectrogram of a sample is collected by utilizing an ATR-FTIR (attenuated total reflection-fourier transform infrared spectroscopy) technique, and adulterants are recognized qualitatively and analyzed quantitatively through establishing SIMCA (Soft Independent Modeling Of Class Analogy) and PLS (Partial Least Squares) models. According to the invention, when the concentration of the adulterants of urea and glucose is 0.10-1.00%, the recognition rate of the adulterants of urea and glucose by the method is 100%. When the concentration of the adulterants is 0.01-0.10%, the recognition rate and the rejection rate of the pure milk and the milk doped with urea and glucose by a best model are both greater than 82%, and the effect is favorable. The relevance of a prediction value and an actual measured value of a model is favorable for the adulterants of urea and glucose; the established models have favorable prediction capability, and can be used for the quantitative analysis of multiple adulterants in milk.

Description

【Technical field】 [0001] The invention relates to automatic detection technology, in particular to an infrared spectrum detection method of adulterated milk. 【Background technique】 [0002] In recent years, the frequent occurrence of adulteration incidents of dairy products in my country has seriously disrupted the order of the dairy market. As the national standard method for the detection of milk internal components, the chemical method is mainly used, but this analysis method takes a long time and has a high cost. Therefore, mid-infrared spectroscopy, near-infrared spectroscopy and ultrasonic analysis were proposed to detect this defect. Milk ingredients. Ultrasonic analysis can detect various components in milk at one time, but this method has poor repeatability and low detection accuracy. The near-infrared spectroscopy analysis method cannot avoid the background interference of milk components, and the measurement accuracy is not high. CN 101769866A discloses a detec...

AI Technical Summary

Problems solved by technology

[0002] In recent years, dairy adulteration incidents have occurred frequently in my country, seriously disrupting the order of the dairy market. The conventional single adulterant detection method can no longer meet the emerging adulterant detection requirements.

The national standard method for detecting the internal components of milk is mainly chemical method, but this analysis method is time-consuming and costly. Therefore, mid-infrared spectroscopy, near-infrared spectroscopy and ultrasonic analysis were proposed to detect this defect. milk ingredients

Ultrasonic analysis can detect multiple components in milk at one time, but the method has poor repeatability and detection accuracy is not high

The near-infrared spectroscopy analysis method cannot avoid the background interference of milk components, and the measurement accuracy is not high

CN 101769866A discloses a milk component detection device and method, which records the use of ultrasonic and near-infrared spectrum analysis technology to detect the components in milk. Although this method can quickly and accurately detect the components in milk, the disadvantage of this method is Because it cannot accurately detect the content of specific components in milk, it is not suitable for the identification of adulterated milk

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