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20 February 2018 Application of near-infrared spectroscopy in the detection of fat-soluble vitamins in premix feed
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Abstract
Vitamin is the organic compound and necessary for animal physiological maintenance. The rapid determination of the content of different vitamins in premix feed can help to achieve accurate diets and efficient feeding. Compared with high-performance liquid chromatography and other wet chemical methods, near-infrared spectroscopy is a fast, non-destructive, non-polluting method. 168 samples of premix feed were collected and the contents of vitamin A, vitamin E and vitamin D3 were detected by the standard method. The near-infrared spectra of samples ranging from 10 000 to 4 000 cm-1 were obtained. Partial least squares regression (PLSR) and support vector machine regression (SVMR) were used to construct the quantitative model. The results showed that the RMSEP of PLSR model of vitamin A, vitamin E and vitamin D3 were 0.43×107 IU/kg, 0.09×105 IU/kg and 0.17×107 IU/kg, respectively. The RMSEP of SVMR model was 0.45×107 IU/kg, 0.11×105 IU/kg and 0.18×107 IU/kg. Compared with nonlinear regression method (SVMR), linear regression method (PLSR) is more suitable for the quantitative analysis of vitamins in premix feed.
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Lian Ping Jia, Shu Li Tian, Xue Cong Zheng, Peng Jiao, and Xun Peng Jiang "Application of near-infrared spectroscopy in the detection of fat-soluble vitamins in premix feed", Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 106971U (20 February 2018); https://doi.org/10.1117/12.2315099
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