基于NIRS的反刍动物饲料中肉骨粉判
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Analysis of Meat and Bone Meal Content in Ruminant Feed Based on NIRS
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    摘要:

    收集国内常用的、具有代表性的精料补充料和肉骨粉,制备定标集样品235个,外部验证集样品152个。在400~2498nm波长范围内进行近红外光谱扫描,选择合适的光谱预处理方法和光谱范围,采用SIMCA方法和DPLS方法分别建立判别分析模型。建立的SIMCA判别分析模型对外部验证集的正确判断率为96.1%,建立的DPLS判别分析模型对外部验证集的正确判断率为100%。与NIRS定量分析精料补充料中MBM的方法相比,定性分析模型能准确判断饲料样品是否掺有

    Abstract:

    MBM。Representative ruminant concentrate supplement and MBM samples were collected, and 235 calibration samples and 152 external validation samples were prepared. The spectra were scanned from 400~2498nm. The effect of spectrum pretreatment methods and spectrum region on the calibration results was considered. The calibration equations were established by SIMCA (soft independent modeling of class analogies) and DPLS (discriminant partial least squares) respectively. For external validation set, the accurate discriminant rate of SIMCA method was 96.1%, and the accurate discriminant rate of DPLS method was 100%. Comparing with NIRS quantitative analysis model of MBM in ruminant concentrate supplement, NIRS discriminant analysis model can detect if ruminant concentrate supplement was adulterated with MBM or not. 

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杨增玲,韩鲁佳,李琼飞,樊霞,苏晓鸥.基于NIRS的反刍动物饲料中肉骨粉判[J].农业机械学报,2009,40(7):124-128.

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