Method for quickly testing and analyzing quality of sericite
A kind of sericite, fast technology, applied in the direction of measuring device, analytical material, color/spectral characteristic measurement, etc., can solve the problems of low production efficiency, time-consuming and laborious detection, etc., to achieve the effect of easy operation, improved production quality, and safe detection process.
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specific Embodiment approach 1
[0014] Specific embodiment one: the process of the method for rapid detection and analysis sericite quality described in the present embodiment is:
[0015] Using a Fourier transform near-infrared spectrometer to collect spectral information of the sericite sample to be detected, using an optimal calibration model to analyze the spectral information of the sericite sample to be detected, and obtaining a quality analysis result of the sericite sample to be detected;
[0016] The best calibration model is obtained by the following method:
[0017] Step 1: Use a Fourier transform near-infrared spectrometer at a wavelength of 10000cm -1 ~4000cm -1 Collect spectra of multiple sericite samples within a certain range to obtain multiple spectral information;
[0018] Step 2: Count the multiple spectral information obtained in Step 1, and build a sample spectral library of sericite;
[0019] Step 3: Using a mathematical method to select representative spectral information in the sam...
specific Embodiment approach 2
[0038] Embodiment 2: This embodiment is a specific example of the method described in Embodiment 1;
[0039] The best calibration model in this embodiment is obtained by the following method:
[0040] Step 1: Use a resolution of 8cm -1 , a Fourier transform near-infrared spectrum analyzer with a scan frequency of 64 times, at a wavelength of 10000cm -1 ~4000cm -1 Collect spectra of multiple sericite samples within a certain range to obtain multiple spectral information;
[0041] Step 2: Count the multiple spectral information obtained in Step 1, and establish a spectral library of sericite samples;
[0042]Step 3: Using a mathematical method to select representative spectral information in the sample spectral library obtained in step 2, and establishing a calibration sample set according to the obtained representative spectral information;
[0043] Step 4: gradually optimize the quantitative analysis model of the sample spectral information by using the cross-validation me...
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