Method for fast identifying variety of edible oil through near-infrared spectroscopy method
A near-infrared spectroscopy and near-infrared spectroscopy technology, which is applied in the direction of material analysis, measuring devices, instruments, etc. through optical means, can solve the problems of infringing on the interests of consumers and legal production and sales enterprises, and achieve strong practical value and promotion value , convenient detection and high identification accuracy
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[0028] 1. Experimental samples
[0029]A total of 133 edible oil samples of tea seed oil, sunflower oil, soybean oil, rapeseed oil and peanut oil were collected, and the SPXY algorithm was used to select 100 edible oil calibration set samples and 33 edible oil prediction set samples at a ratio of 3:1 , where the edible oil calibration set samples are used to establish the quantitative model and the qualitative model, and the edible oil prediction set samples are used to verify the performance of the quantitative model and the qualitative model; among them, the number of the five types of edible oil samples in the prediction set samples and the calibration set samples The distribution is shown in Table 1 below.
[0030] Table 1
[0031] type serial number prediction set Calibration set Subtotal Tea seed oil 1 6 15 21 sunflower oil 2 2 19 21 Soybean oil 3 9 21 30 canola oil 4 4 28 32 peanut oil 5 12 17 29 total...
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