High performance liquid chromatography based illegal cooking oil cluster analysis method
A high-performance liquid chromatography and cluster analysis technology, applied in the field of waste oil cluster analysis, can solve the problem of not being used as waste oil, and achieve the effects of improving accuracy and sensitivity, improving accuracy and sensitivity, and avoiding human errors.
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[0021] Example 1:
[0022] Draw an equal volume of methanol and chloroform solution to prepare the diluent required for the experiment, all samples can be dissolved in the diluent; dissolve 100 μl of oil in 900 μl of the above diluent, shake for 60s, make a solution, use a disposable syringe The solution was extracted and filtered through a 0.22 μm filter membrane, and 10 μl of the above solution was injected into the sample and entered into an HPLC analyzer for analysis. The experiment used a Shimadzu high performance liquid chromatograph equipped with a liquid chromatography system binary pump LC-20AT × 2 sets, a high pressure gradient UV detector system SPD-20A and a liquid chromatography system column temperature oven CTO-20A, Venusil ASBC18 chromatographic column: 4.6mm×200mm, 5μm.
[0023] HPLC peak determination method: UV detection wavelength: 205nm; mobile phase A is acetonitrile, mobile phase B is isopropanol; gradient elution procedure: 0-100min, 0~80%B; 100-110min...
Example Embodiment
[0027] Example 2:
[0028] Select various typical representative edible oils on the market and various types of waste oils investigated and dealt with by the public security department, a total of 41 kinds and 6 categories (sample table is shown in Table 2), and cluster analysis is carried out according to the method in Example 1 , see the classification results figure 2 , the cluster analysis can accurately cluster 41 kinds of oils into 6 categories.
[0029] Table 1 Name and number of oil
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[0031]
Example Embodiment
[0032] Example 3:
[0033] Example 1 was repeated according to the same steps, except that 26 unknown samples were configured for discriminant analysis. Twenty-six unknown samples were tested blindly for the fourth time by the Ministry of Health and then provided to this method for determination. The measurement results are shown in Table 3, and the accuracy rate is 92.3%.
[0034] Table 226 Discriminant Analysis Results of Unknown Samples
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[0036]
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