Molecular Nutrition

Near Infrared Rapid Determination Method for L-Lysine Content in Feed Additive L-Lysine Sulfate

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  • 1. Institute of Quality Standards & Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
    2. College of Engineering, China Agricultural University, Beijing 100083, China;
    3. Animal Feed Quality and safety of Veterinary Testing Centre in Liaoning Province, Shenyang 110016, China

Received date: 2017-04-12

  Online published: 2017-09-28

Abstract

In order to explore the feasibility of near infra diffuse reflectance spectroscopy (NIDRS) method for rapidly quantitative determination of L-lysine content in feed additive L-lysine sulfate, seventy-six representative samples of L-lysine sulfate were collected in China. According to the national standard method to chemical evaluated the L-lysine content of samples; the near infrared spectrogram of L-lysine sulfate samples at different physical states were scanned by raster near infrared diffuse reflectance spectroscopy instrument. On the basis of L-lysine content samples were divided into calibration and validation sets, using appropriate spectral pretreatment method, the near infrared quantitative analysis model of L-lysine sulfate was established by using competitive adaptive reweighted sampling (CARS) algorithm combined partial least square method (PLS), and compared with the full wavelength model. The results showed that the optimal calibration model was established with the sample of dry and crushed at 60 mesh, and the determination coefficient of correction calibration set (RC2) was 0.954, the standard error of calibration (SEC) was 0.510, the standard error of cross validation (SECV) was 0.659. The determination coefficient of prediction validation set (RP2) was 0.952, the standard error of prediction (SEP) was 0.554, the relative percent deviation (RPD) value was 3.83. In conclusion, NIDRS quantitative analysis of L-lysine sulfate has certain feasibility, it has practical application significance for rich other amino acids fast detection methods in our country.

Cite this article

LI Shouxue, CHEN Yuyan, JIA Zheng, XIAO Zhiming, WANG Yanni, LIU Chenxin, FAN Xia . Near Infrared Rapid Determination Method for L-Lysine Content in Feed Additive L-Lysine Sulfate[J]. Chinese Journal of Animal Nutrition, 2017 , 29(10) : 3710 -3717 . DOI: 10.3969/j.issn.1006-267x.2017.10.034

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