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基于NIRS的反芻動物飼料中肉骨粉判
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Analysis of Meat and Bone Meal Content in Ruminant Feed Based on NIRS
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    摘要:

    收集國內常用的、具有代表性的精料補充料和肉骨粉,制備定標集樣品235個,外部驗證集樣品152個。在400~2498nm波長范圍內進行近紅外光譜掃描,選擇合適的光譜預處理方法和光譜范圍,采用SIMCA方法和DPLS方法分別建立判別分析模型。建立的SIMCA判別分析模型對外部驗證集的正確判斷率為96.1%,建立的DPLS判別分析模型對外部驗證集的正確判斷率為100%。與NIRS定量分析精料補充料中MBM的方法相比,定性分析模型能準確判斷飼料樣品是否摻有

    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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楊增玲,韓魯佳,李瓊飛,樊霞,蘇曉鷗.基于NIRS的反芻動物飼料中肉骨粉判[J].農業(yè)機械學報,2009,40(7):124-128. Analysis of Meat and Bone Meal Content in Ruminant Feed Based on NIRS[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(7):124-128.

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