饲料添加剂L-赖氨酸硫酸盐中L-赖氨酸含量近红外速测方法研究

发布时间：2019-03-20 21:45

【摘要】：为了探讨利用近红外漫反射光谱技术(NIDRS)快速定量分析饲料添加剂L-赖氨酸硫酸盐中L-赖氨酸含量的可行性,本试验在全国范围内收集了具有代表性的L-赖氨酸硫酸盐添加剂76个,采用国家标准方法对样品中的L-赖氨酸含量进行化学赋值;用光栅型近红外光谱仪扫描L-赖氨酸硫酸盐样品,获取了不同物理状态下样品的近红外光谱图。依据L-赖氨酸含量将样品分为定标集和验证集,运用适当的光谱预处理方法,采用竞争性自适应重加权(CARS)算法结合偏最小二乘法(PLS)建立了L-赖氨酸硫酸盐的近红外定标分析模型,并将该模型与全波长模型进行了比较。结果表明:用烘干、60目粉碎后的样品结合CARS算法建立的定标模型最优,定标集校正决定系数(R2C)为0.954,校正集标准偏差(SEC)为0.510,交互验证标准偏差(SECV)为0.659;验证集预测决定系数(R2P)为0.952,预测标准偏差(SEP)为0.554,相对分析误差(RPD)值为3.83。由此可见,NIDRS定量分析L-赖氨酸硫酸盐具有一定可行性,对于丰富我国氨基酸盐及其他氨基酸制品的快速检测方法具有实际的应用意义。
[Abstract]:In order to explore the feasibility of rapid quantitative analysis of L-lysine in feed additive L-lysine sulfate by near-infrared diffuse reflectance spectroscopy (NIDRS), In this experiment, 76 representative L-lysine sulfate additives were collected throughout the country, and the content of L-lysine in the samples was determined by the national standard method. The near infrared spectra of L-lysine sulfate samples under different physical conditions were obtained by scanning the L-lysine sulfate samples by grating near infrared spectrometer (NIR). The samples were divided into calibration set and verification set according to the content of L-lysine. A near-infrared calibration model of L-lysine sulfate was established by using competitive adaptive weighted (CARS) algorithm and partial least square (PLS). The model was compared with the all-wavelength model. The results show that the calibration model established by drying, 60 mesh comminuted samples combined with CARS algorithm is optimal, the calibration set correction decision coefficient (R2C) is 0.954, the calibration set standard deviation (SEC) is 0.510, and the calibration set standard deviation is 0.510, the calibration set calibration decision coefficient (R2C) is 0.954. The cross-validation standard deviation (SECV) is 0.659; The validation set prediction decision coefficient (R2P) is 0.952, the prediction standard deviation (SEP) is 0.554, and the relative analysis error (RPD) is 3.83. It can be seen that the quantitative analysis of L-lysine sulfate by NIDRS is feasible and has practical application significance in enriching the rapid detection method of amino acid salt and other amino acid products in our country.
【作者单位】：中国农业科学院农业质量标准与检测技术研究所;中国农业大学工学院;辽宁省兽药饲料畜产品质量安全检测中心;
【基金】：“十二五”农村领域国家科技计划课题(2014BAD08B11-2) 中国农业科学院“饲料质量安全检测与评价”创新团队项目资助
【分类号】：S816.17

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