A laser-induced fluorescent vegetable oil-doped millet soup identification method
An identification method, the technology of millet soup, applied in the direction of fluorescence/phosphorescence, material excitation analysis, character and pattern recognition, etc., can solve the problems of uncertainty and unreliability, so as to improve the efficiency of detection, improve the degree of separation, improve The effect of identification accuracy and operation speed
Active Publication Date: 2021-01-01
ANHUI UNIV OF SCI & TECH
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Generally, the quality of vegetable oil can be identified by methods such as color, smell, taste, transparency, etc., but these sensory methods for identifying vegetable oil are not reliable and have uncertainties
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[0036] The present invention will be further explained below through specific embodiments and accompanying drawings.
[0037] The present invention has developed a laser-induced fluorescent vegetable oil-doped strong tea water identification method, which combines the KICA-PCA-FDA algorithm with laser-induced fluorescence technology, and uses a self-designed portable non-destructive vegetable oil analyzer to obtain fluorescence spectra of different oil samples; The Median-Filter method was used to smooth the spectral image to remove noise interference, and KICA-PCA was used to extract the effective information in the spectral data. Finally, the training set allocated by hold-out was used for FDA model building, and the test set was used to verify the identification results.
[0038] The present invention develops a laser-induced fluorescent vegetable oil-doped millet soup identification method under the condition of organic combination of KICA-PCA-FDA and laser-induced fluoresc...
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The invention relates to a laser-induced fluorescent vegetable oil-doped millet soup identification method, which comprises the following steps: (1) matching equal volumes of pure peanut oil and millet soup according to a certain doping concentration; (2) using a self-designed portable The vegetable oil non-destructive analyzer collects the fluorescence spectrum data of oil samples; (3) uses the median filter method (Median-Filter) to smooth the original spectrum; (4) combines KICA and PCA algorithm (KICA-PCA) to optimize the main spectral information data (5) Divide the sample data into a training set and a test set by using the hold-out method; (6) use the FDA to learn and train the training set, and the test set is used for the identification effect test. The present invention uses KICA‑PCA combined with FDA to identify laser-induced fluorescent vegetable oil doped with millet soup, improves identification accuracy and calculation speed, and is very suitable for research in the field of food safety detection.
Description
technical field [0001] The invention relates to the field of food safety detection, in particular to a method for identifying laser-induced fluorescent vegetable oil doped with millet soup. Background technique [0002] It is not uncommon to see news of "artificial oils" adulterated from vegetable oils entering the market. These oils are popular with unscrupulous dealers due to their low price, large profits, and easy access. The adulteration of vegetable oil will not only make the hygienic indicators of the oil fail to meet the national requirements, but also cause carcinogens that may cause diseases in the cardiovascular, nervous system, digestive system, respiratory system, etc., seriously threatening human health. Generally, the quality of vegetable oil can be identified by methods such as color, smell, taste, transparency, etc., but these sensory methods for identifying vegetable oil are not reliable and have uncertainties. [0003] The principle of laser induced fluor...
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IPC IPC(8): G06K9/62G01N21/64
CPCG01N21/6402G06F18/2135G06F18/214
Inventor 卞凯周孟然胡锋来文豪戴荣英胡天羽李化顺
Owner ANHUI UNIV OF SCI & TECH