Method for rapidly identifying type of balsam material liquid for cigarette
A technology of fragrance liquid and material liquid, which is applied in the field of rapid identification of types of tobacco flavor liquid and material liquid, and achieves the effect of simple operation and high accuracy
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Embodiment 1
[0023] (1) Standard sample preparation: Take 10 batches of feed liquid samples of six grades of L1, L2, L3, L4, L5, and L6 at the spice kitchen production site;
[0024] (2) Spectrum scanning: Scan the standard sample with a near-infrared spectrometer to obtain its near-infrared spectrum. The working parameters of the instrument are: spectral range 10000-4000cm -1 , resolution 8cm -1 , the number of scans is 40 times.
[0025] (3) Spectral preprocessing: Preprocessing the near-infrared spectrogram by multivariate signal correction, second derivative, and spectral smoothing;
[0026] (4) Model establishment: use the discriminant analysis method to establish the model, first at 9800.00-4100.00 cm -1 Calculate the average spectrum of the standard sample within the spectral range, subtract the average spectrum of the category from each standard spectrum, and then use the spectral information of all categories to generate a single variation spectrum, and finally estimate the valu...
Embodiment 2
[0029] (1) Standard sample preparation: Take 9 batches of fragrance liquid samples of X1, X2, X3, and X4 at the production site of the spice kitchen;
[0030] (2) Spectrum scanning: Scan the standard sample with a near-infrared spectrometer to obtain its near-infrared spectrum. The working parameters of the instrument are: spectral range 9000-3800cm -1 , resolution 48cm -1 , the number of scans is 50 times.
[0031] (3) Spectral preprocessing: Preprocessing the near-infrared spectrum by using multivariate signal correction, first-order derivative, and spectral smoothing;
[0032] (4) Model establishment: use discriminant analysis method to establish the model, first at 9800-5500 cm -1 And 5300~3900 cm -1 Calculate the average spectrum of the standard sample within the spectral range, subtract the average spectrum of the category from each standard spectrum, and then use the spectral information of all categories to generate a single variation spectrum, and finally estimate ...
Embodiment 3
[0035] (1) Samples to be tested: 5 batches of fragrance liquid samples of different brands such as L1, L2, L3, L4, L5, L6, X1, X2, X3, X4 were taken at the production site of the spice kitchen;
[0036] (2) Spectrum scanning: Scan the standard sample with a near-infrared spectrometer to obtain its near-infrared spectrum. The working parameters of the instrument are: spectral range 9500-4100cm -1 , resolution 4cm -1 , the number of scans is 65 times.
[0037] (3) Spectral preprocessing: Preprocessing the near-infrared spectrum by using multivariate signal correction, first-order derivative, and spectral smoothing;
[0038] (4) Model establishment: use the discriminant analysis method to establish the model, first at 8000-5600 cm -1 And 5300~4100 cm -1 Calculate the average spectrum of the standard sample within the spectral range, subtract the average spectrum of the category from each standard spectrum, and then use the spectral information of all categories to generate a s...
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