蛋白饲料原料粗蛋白含量近红外光谱模型转移研究
发布时间：2018-11-17 07:58
【摘要】：建立良好的蛋白饲料近红外光谱定量分析模型及实现在不同仪器间的模型共享,能极大提高模型的利用效率,满足饲料行业快速发展的需要。针对蛋白饲料原料粗蛋白含量近红外分析模型适用性问题,首次采用光谱差值转移、直接校正和分段直接校正法进行了三台不同类型的近红外光谱仪之间的模型转移研究。实验样品为四种蛋白饲料原料:玉米蛋白粉、菜粕、酒糟和鱼粉。实验仪器包括MATRIX-Ⅰ傅里叶变换型近红外光谱仪(主仪器),Spectrum 400傅里叶变换型近红外光谱仪(从仪器1)和SupNIR-2750光栅扫描型近红外光谱仪(从仪器2)。研究表明,同一样品体系在主仪器和从仪器2上所得光谱数据的差异性相对较小,且均与从仪器1所得光谱数据的差异性相对较大。除分段直接校正法对玉米蛋白粉从仪器2的预测结果无促进作用之外,其他模型的预测均方根误差和系统偏差均明显低于转移前。玉米蛋白粉、菜粕和酒糟样品采用三种方法转移后的模型预测相对分析误差(RPD)均大于3.0,预测效果良好。鱼粉样品模型转移后的预测RPD均大于2.5,预测效果较好。三种方法对于蛋白饲料原料不同仪器间的光谱差异进行了有效校正。该研究结果对于蛋白饲料品质近红外快速分析模型的广泛应用具有重要意义。
[Abstract]:The establishment of a good quantitative analysis model of protein feed by near infrared spectroscopy and the sharing of the model among different instruments can greatly improve the utilization efficiency of the model and meet the needs of the rapid development of feed industry. Aiming at the applicability of near infrared analysis model of crude protein content of protein feed, the model transfer between three different types of near infrared spectrometers was studied by spectral difference transfer, direct correction and subsection direct correction for the first time. The samples were four kinds of protein feedstuff: corn protein meal, rapeseed meal, distiller's grains and fish meal. The experimental instruments include MATRIX- I Fourier transform near infrared spectrometer (main instrument), Spectrum 400 Fourier transform near infrared spectrometer from instrument 1) and SupNIR-2750 grating scanning near infrared spectrometer from instrument 2. The results show that the difference of spectral data obtained from the main instrument and from instrument 2 of the same sample system is relatively small, and the difference between the spectral data obtained from the same sample system and that from instrument 1 is relatively large. With the exception of direct correction method, the RMS error and systematic deviation of other models were significantly lower than those before transfer, except that the prediction results of corn protein powder from instrument 2 were not promoted. The relative analysis error (RPD) of the models after the transfer of corn protein meal, rapeseed meal and distiller's grains samples was higher than 3.0, and the prediction effect was good. The predicted RPD of fish meal model after transfer was more than 2.5, and the prediction effect was better. Three methods were used to correct the spectral differences among different instruments for protein feed materials. The results of this study are of great significance for the wide application of NIR fast analysis model of protein feed quality.
【作者单位】： 中国农业大学工学院;
【基金】：国家重大科学仪器设备开发专项课题(2014YQ47037705) 国家科技支撑计划资助(2014BAD08B11-2) 国家自然科学基金项目(31201827)资助
【分类号】：S816;O657.33
，
本文编号：2337041
[Abstract]:The establishment of a good quantitative analysis model of protein feed by near infrared spectroscopy and the sharing of the model among different instruments can greatly improve the utilization efficiency of the model and meet the needs of the rapid development of feed industry. Aiming at the applicability of near infrared analysis model of crude protein content of protein feed, the model transfer between three different types of near infrared spectrometers was studied by spectral difference transfer, direct correction and subsection direct correction for the first time. The samples were four kinds of protein feedstuff: corn protein meal, rapeseed meal, distiller's grains and fish meal. The experimental instruments include MATRIX- I Fourier transform near infrared spectrometer (main instrument), Spectrum 400 Fourier transform near infrared spectrometer from instrument 1) and SupNIR-2750 grating scanning near infrared spectrometer from instrument 2. The results show that the difference of spectral data obtained from the main instrument and from instrument 2 of the same sample system is relatively small, and the difference between the spectral data obtained from the same sample system and that from instrument 1 is relatively large. With the exception of direct correction method, the RMS error and systematic deviation of other models were significantly lower than those before transfer, except that the prediction results of corn protein powder from instrument 2 were not promoted. The relative analysis error (RPD) of the models after the transfer of corn protein meal, rapeseed meal and distiller's grains samples was higher than 3.0, and the prediction effect was good. The predicted RPD of fish meal model after transfer was more than 2.5, and the prediction effect was better. Three methods were used to correct the spectral differences among different instruments for protein feed materials. The results of this study are of great significance for the wide application of NIR fast analysis model of protein feed quality.
【作者单位】： 中国农业大学工学院;
【基金】：国家重大科学仪器设备开发专项课题(2014YQ47037705) 国家科技支撑计划资助(2014BAD08B11-2) 国家自然科学基金项目(31201827)资助
【分类号】：S816;O657.33
，
本文编号：2337041
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