A Quantitative Detection Method for Meat Adulteration Based on Elemental Analysis
A quantitative detection method and elemental analysis technology, applied in the direction of analyzing materials, material analysis by electromagnetic means, measuring devices, etc., can solve the problems of low sensitivity, cumbersome operation, high cost, and achieve strong anti-interference ability, low operating cost, Detecting fast effects
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Embodiment 1
[0047] (1) Sampling: 100 pork hind legs and 100 chicken breast samples were purchased from the market, and the pork and chicken were ground into uniform minced meat with a meat grinder, and stored at 4°C.
[0048] (2) Sample preparation: Weigh chicken meat according to the mass ratio of 0%, 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 60%, 70% %, 80%, 90%, and 100% gradients were added to pork mince, and mixed thoroughly to simulate the adulteration of chicken into pork samples.
[0049] Digestion: 10 parallels for each sample. Take 0.5g of each simulated sample into a 50ml centrifuge tube, add 5ml of MOS grade concentrated nitric acid, place it in a heavy metal graphite digestion apparatus, set 120°C for 40 minutes, add 2ml of GR grade hydrogen peroxide and continue digestion for 30 minutes. Dilute to 50 ml with ultrapure water to be tested. The same digestion method prepared 10 blank samples to be tested.
[0050] The working parameters of the instrument are shown in ...
Embodiment 2
[0068] On the basis of Partial Least Squares Discriminant Analysis in Example 1, factor analysis: due to the large number of element variables involved in the element analysis method, and there may be intricate relationships between the variables, the factor analysis method is used to convert multiple observation elements Reflect the characteristics and essence of the whole research for a few elemental factors;
[0069] The first step is to standardize the quantitative analysis data of all elements, and treat the processed data as all element variables;
[0070] Do KMO and Bartlett tests on all element variables to judge whether they are suitable for factor analysis. The results are shown in Table 3. The KMO statistic is 0.78, which is greater than the minimum standard of 0.5, which is suitable for factor analysis; Bartlett spherical test rejects unit correlation matrix The null hypothesis of , P<0.001, suitable for factor analysis;
[0071] table 3
[0072]
[0073] The ...
Embodiment 3
[0091] Multiple linear regression analysis:
[0092] Regression analysis is a statistical analysis method used to determine the quantitative relationship between variables interdependence. This method is by carrying out multiple linear regression analysis to 12 kinds of extraction factors in the above-mentioned embodiment 2, draws the linear regression figure such as figure 2 shown.
[0093] At the same time, the linear equation 1 is obtained as follows:
[0094] Y=64.706-0.001X1+2.863e -5 X2-0.007X3-0.001X4-4.002e -7 X5-3.475e -5 X6+0.34X7-0.008X8-0.005X9+0.012X10+24.187X11-0.006X12
[0095]In the formula: X1: Ba (barium) content; X2: Ca (calcium) content; X3: Cu (copper) content; X4: Fe (iron) content; X5: K (potassium) content; X6: Mg (magnesium) content; X7: Mo (molybdenum) content; X8: Se (selenium) content; X9: Sr (strontium) content; X10: Tl (thallium) content; X11: Ti (titanium) content Content; X12: Zn (zinc) content; all content units are ng / g.
[0096] Veri...
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