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中文摘要：
探讨了应用显微近红外光谱分析技术检测饲料中动物源性成分的可行性。利用12个动物源性成分饲料样品和14个植物源性成分饲料样品建立偏最小二乘定标模型,数学预处理方法为导数＋多元散射校正,利用平均光谱来优化模型实现数据压缩,模型的决定系数、交互验证标准差分别为0.969、0.090。4个配合饲料样品作为外部验证未出现误判。结果表明显微近红外光谱分析技术可用于检测饲料中动物源性成分。
英文摘要：
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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