Infrared spectrum recognition method for adulterated milk

A technology of infrared spectroscopy and identification method, applied in the field of automatic detection, can solve the problems of high cost, disrupt the order of the dairy market, and low measurement accuracy, and achieve the effects of good effect, good prediction ability and good correlation

Inactive Publication Date: 2014-01-29
JIANGNAN UNIV
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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

Method used

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  • Infrared spectrum recognition method for adulterated milk
  • Infrared spectrum recognition method for adulterated milk
  • Infrared spectrum recognition method for adulterated milk

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Embodiment 1

[0060] (1) Preparation of adulterated samples

[0061] Weigh 2.50mg~25.00mg of urea and glucose respectively, and take samples every 2.50mg; 25.00mg~250.00mg, take samples every 25.00mg, respectively, set the volume in a 25mL volumetric flask to prepare 0.01~0.10% (w / v) , 0.10~1.00% (w / v) two concentration ranges of urea and glucose adulterated samples. The obtained adulterated samples were stored in a refrigerator at 2-4°C before collecting infrared spectra.

[0062] Table 1: Three Sample Information

[0063]

[0064] Select 8 different batches of bottled Mengniu brand pure milk as the research object, obtain a total of 480 adulterated milk samples with 60 different concentrations, and 240 milk samples mixed with glucose and urea. The specific information of the samples is shown in Table 1. shown. A total of 150 samples from 5 bottles of each adulterated milk were randomly selected as the training set samples, and the remaining 3 bottles of 90 samples were used as the p...

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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...

Claims

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Application Information

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IPC IPC(8): G01N21/3577
Inventor 顾小红穆海波赵建新殷秀秀胡博
Owner JIANGNAN UNIV
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