A method for detecting the concentration of lemon chrome yellow in heavy metal concentrated alkali liquid
A technology of lemon chrome yellow, detection method, applied in Raman scattering, material excitation analysis, etc., can solve the problems of inability to exclude other sources of lead and chromium, inability to achieve rapid detection, and insufficient application range, and to achieve convenient focusing, The effect of speeding up processing and avoiding distractions
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Embodiment 1
[0050] A method for detecting the concentration of lemon chrome yellow in heavy metal concentrated alkali liquid, comprising:
[0051] (1) Take heavy metal concentrated alkali liquids with different concentrations of lemon chrome yellow as test samples, and obtain each test sample at 2717.2cm -1 ~112.3cm -1 Raman spectra with a silicon wafer as a substrate in the wavenumber range.
[0052] In the present embodiment, a 96-well flat-bottomed culture dish (aperture: 6.4mm, bottom area: 0.32cm 2 , with a volume of 0.36ml) as a container, and one hole as a container. Place a circular silicon wafer with a diameter of 5mm and a thickness of 0.5mm at the bottom of each well, pipette 0.4ml of liquid into the well of the petri dish, and remove the excess liquid along the edge of the petri dish with a scraper , and then place the Petri dish on a glass slide for use.
[0053] The container containing the test samples is placed on the stage of the micro-Raman spectrometer to test the R...
Embodiment 2
[0075] Same as embodiment 1, the difference is that after building the calibration model in step (4), it also includes updating the calibration wavenumber and the calibration model, and the update method is as follows:
[0076] Perform analysis of variance on the first calibration model to screen the calibration wavenumbers, and use the screened calibration wavenumbers as the final calibration wavenumbers. The peak intensity at the standard wave number and 520cm -1 A linear regression model of the concentration-intensity ratio was constructed as the updated calibration model based on the ratio of the peak intensities at .
[0077] Perform variance analysis on the calibration model before updating, the results are shown in Table 2
[0078] Table 2
[0079]
[0080] Table 2 shows the wavenumber variable λ 1222 , lambda 1123 , lambda 112 (sample at wavenumber 1222cm -1 、1123cm -1 、112cm -1 Raman spectrum intensity at ) significant level P>0.05, indicating that the wave...
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