Method for detecting content of lysine based on near-infrared spectrum characteristic data extraction technology
A technology of near-infrared spectroscopy and characteristic data, applied in measurement devices, material analysis by optical means, instruments, etc., can solve the problems of long detection period of lysine, unstable detection accuracy, etc., to improve modeling efficiency and improve efficiency. The accuracy of the model, the time-consuming improvement, and the effect of saving detection costs
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[0043] In this embodiment, the content of lysine in the sample of feed additive L-lysine sulfate is detected by using the feature data extraction technology of near-infrared spectrum.
[0044] The method for establishing a model for rapid detection of lysine content based on near-infrared spectral feature data extraction technology described in this embodiment specifically includes the following steps:
[0045] (1) Sample collection and preparation
[0046] Take 57 samples of feed additive L-lysine sulfate from known sources, all of which are from enterprises; each sample is crushed with a cyclone mill and passed through a 60-mesh sieve; and then placed in an oven at 105°C for 5 hours. Drying means drying the pulverized sample to be tested.
[0047] (2) Determination of sample lysine content
[0048] Place each sample in an oven at 105°C for 5 hours for drying, and then determine the content of lysine in the dried samples according to the acid hydrolysis method in "Determina...
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