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飼料中動物源性成分顯微近紅外光譜檢測分析
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國家自然科學(xué)基金資助項目（31072062）、國際科技合作項目（2010DFA34540）、歐盟第七框架協(xié)議項目（FP7-265702、QSAFFE）和中國與比利時科技合作項目（國科外函［2010］177號）


Detection of Processed Animal Proteins in Feeding Stuffs by Near-infrared Microscopy
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    摘要:

    探討了應(yīng)用顯微近紅外光譜分析技術(shù)檢測飼料中動物源性成分的可行性。利用12個動物源性成分飼料樣品和14個植物源性成分飼料樣品建立偏最小二乘定標(biāo)模型，數(shù)學(xué)預(yù)處理方法為導(dǎo)數(shù)+多元散射校正，利用平均光譜來優(yōu)化模型實現(xiàn)數(shù)據(jù)壓縮，模型的決定系數(shù)、交互驗證標(biāo)準(zhǔn)差分別為0.969、0.090。4個配合飼料樣品作為外部驗證未出現(xiàn)誤判。結(jié)果表明顯微近紅外光譜分析技術(shù)可用于檢測飼料中動物源性成分。

    Abstract:

    With the aim to investigate the feasibility of near-infrared microscopy method for discrimination of processed animal proteins in feeding stuffs, twelve processed animal protein samples and 14 plant based feed samples were collected. At the same time, four feeds were prepared for validation. The spectra were got with PerkinElmer spotlight 400+spectrum 400 FT-NIR microscope, and the calibration equation was established by partial least squares method with the pretreatment of Savitzky-Golay derivative 1442, full multiplicative scatter correction and average variables 2. The result showed that the calibration gave determination coefficients of 0.969，and a standard error of cross validation of 0.090. The processed animal protein samples could be detected in nature feed samples. The results indicate that near-infrared microscopy has huge potential in detecting the processed animal proteins in feeding stuffs. 

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呂程序,楊增玲,韓魯佳,劉賢.飼料中動物源性成分顯微近紅外光譜檢測分析[J].農(nóng)業(yè)機械學(xué)報,2011,42(5):171-174,213. Lü Chengxu, Yang Zengling, Han Lujia, Liu Xian. Detection of Processed Animal Proteins in Feeding Stuffs by Near-infrared Microscopy[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(5):171-174,213.

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