Abstract:The near infrared spectrometric quantitative model of protein feed and its sharing in different instruments can greatly improve the utilization efficiency of the model and meet the needs of rapid development of feed industry. Considering the issue of applicability of near infrared spectrometric models for crude protein of protein feed materials, calibration transfer was explored among three types of instruments using spectral subtraction correction, direct standardization and piecewise directs standardization methods for the first time. Four kinds of protein feed raw materials were involved in the present study, corn protein powder, rapeseed meal, fish meal and distillers dried grains with soluble. The experimental instruments included MATRIX-I Fourier transform near infrared instrument (master instrument), Spectrum 400 Fourier transform near infrared instrument (slave 1 instrument), and SupNIR-2750 grating near infrared instrument (slave 2 instrument). Results showed that the spectral data difference for all the samples between the master and slave 2 instrument was relatively small, and the difference between the master and slave 1 instrument, and slave 1 and slave 2 instrument were relatively large. All the root mean square error of prediction and bias values after calibration transfer were lower than the values before calibration transfer, except that no improvement was found for the prediction of corn protein powder of slave 2 instrument corrected by piecewise direct standardization method. The relative prediction deviation (RPD) of corn protein powder, rapeseed meal and distillers dried grains with soluble transferred by all three methods were higher than 3, which indicated good predictions, while the RPD of fish meal were all higher than 2.5, which indicated relative good predictions. All three techniques used in the study were effective in the correction of the difference between different instruments for protein feed materials. This study is of important practical significance for the application of near infrared spectrometric models for crude protein of protein feed materials.
Key words:Protein feed;Crude protein;Near infrared reflectance spectroscopy;Calibration transfer
丁 柯,张月敬,沈广辉,于贤龙,杨增玲,刘 贤*. 蛋白饲料原料粗蛋白含量近红外光谱模型转移研究[J]. 光谱学与光谱分析, 2016, 36(05): 1334-1339.
DING Ke, ZHANG Yue-jing, SHEN Guang-hui, YU Xian-long, YANG Zeng-ling, LIU Xian*. Calibration Transfer of Near Infrared Spectrometric Models for Crude Protein of Protein Feed Materials. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(05): 1334-1339.
[1] NIU Zhi-you, HAN Lu-jia, SU Xiao-ou, et al(牛智有,韩鲁佳,苏晓鸥,等). Transaction of the Chinese Society for Agricultural Machinery(农业机械学报),2005, 36(5): 16. [2] ZHOU Xing-fan, YANG Zeng-ling, LIU Xian, et al(周兴藩,杨增玲,刘 贤,等). Transaction of the Chinese Society for Agricultural Machinery(农业机械学报), 2012,3: 103. [3] Fernandez-Ahumada E, Fearn T, Gomez-Cabrera A, et al. Applied Spectroscopy, 2013, 67: 924. [4] LIU Bo-ping, QIN Hua-jun, LUO Xiang, et al(刘波平,秦华俊,罗 香,等). Chinese Journal of Analytical Chemistry(分析化学),2007,35: 525. [5] Tyagi P K, Shrivastav A K, Tyagi P K, et al. Indian Journal of Poultry Science, 2009, 44(1): 45. [6] WANG Jia-jun, ZHE Wei, LIU Yan, et al(王家俊,者 为,刘 言,等). Acta Tabacaria Sinica(中国烟草学报),2014, 20(6): 1. [7] Leion H,Folestad S,Josefson M,et al. Journal of Pharmaceutical and Biomedical Analysis,2005, 37(1): 47. [8] Bergman E L, Brage H, Josefson M, et al. Journal of Pharmaceutical and Biomedical Analysis, 2006, 41: 89. [9] Ridder T D, Steeg B J V, Price G L. Applied Spectroscopy, 2014, 68(8): 852. [10] Soldado A, Fearn T, Martinez-Fernandez A, et al. Talanta, 2013, 105: 8. [11] WANG Qian, HUANG Jia-ming(王 倩,黄家明). Chinese Journal of Animal Science(中国畜牧杂志),2014,13: 83. [12] DUAN Rui-lu, LIU Ting-xi, ZHANG Sheng-wei, et al(段瑞鲁,刘廷玺,张圣微,等). Arid Zone Research(干旱区研究),2014, 4: 750. [13] Liu X, Han L J, Yang Z L. Journal of Dairy Science, 2011, 94(11): 5599. [14] Williams P C, Sobering D C. Journal of Near Infrared Spectroscopy, 1993, 1: 25. [15] Malley D F, McClure C, Martin P D, et al. Communications in Soil Science and Plant Analysis, 2005, 36(4-6): 455.