Method for identifying reductive milk in fresh milk and commodity milk by using near infrared spectrum
A technology of near-infrared spectroscopy and fresh milk, which is applied in the field of identifying raw milk and reconstituted milk in commercial milk, can solve the problems of not being able to quickly and accurately identify reconstituted milk, and achieve fast detection speed, cost saving, and repeated good sex effect
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Embodiment 1
[0047] Qualitative identification of reduced milk in embodiment 1 raw milk
[0048] 1. Sample pretreatment:
[0049] (1) Acquisition of raw milk samples: three Holstein cows were collected from the Sino-American Dairy Research Center of China Agricultural University. Samples were taken at noon every day for a total of 5 days. After collection, they were stored in a portable refrigerator at 4°C and shipped back;
[0050] (2) Acquisition of reconstituted milk samples: buy Yili full-fat fresh milk powder from the market, add 180 mL of warm water to every 25 g of milk powder, mix well, shake well and cool to room temperature for later use. The fat content is 3.68%, the protein content is 3.33%, and the density is 1.026, which is close to the average data of the fresh milk used in the experiment, which can eliminate the distortion of the discrimination results caused by the content difference.
[0051] (3) Preparation of reduced milk with different gradients: According to the grad...
Embodiment 2
[0060] Qualitative identification of reduced milk in embodiment 2 commercial milk
[0061] The difference from Example 1 is that the commercial milk in the sample pretreatment is commercially available liquid fresh milk from different manufacturers; when establishing the qualitative identification model, the characteristic wave bands of 900-1000nm, 1000-1200nm and 1100-2500nm were selected.
[0062] The identification results were: 2 misjudgments among 80 samples, and the correct rate was 97.5%.
Embodiment 3
[0063] Qualitative identification of reduced milk in embodiment 3 raw milk
[0064] The difference from Example 1 is that according to the difference that fresh milk has a characteristic absorption peak at 1884nm and reconstituted milk has a characteristic absorption peak at 1895nm, the collected spectral data is processed by TQ Analyst V6.2 processing software (U.S. Thermo Nicolet Company) Finally, a qualitative identification is made directly based on the second derivative of the spectrum.
[0065] The identification result is: the correct rate is as high as 100%.
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