摘要: 为探讨基于可见-近红外光谱技术快速检测牛奶中是否含有三聚氰胺的可行性。文章通过往液态奶中添加不同含量的三聚氰胺,共制备样本160个。利用Handheld Field Spec光谱仪获取样本光谱,其后采用不同的预处理方法对光谱数据进行预处理,然后分别建立数学模型,比较模型的好坏,得到采用移动平均平滑作为数据的预处理方法较好。从160个样本中随机的取出120个样本建模,剩下的40个样本作为独立的验证集。采用偏最小二乘回归法(PLS)和最小二乘支持向量机法(LS-SVM)方法分别建立判别分析模型,利用独立的验证集对判别模型进行了预测验证。预测结果的预测相关系数(R2)分别为0.917 4(PLS)和0.910 9(LS-SVM), 预测标准误差(RMSEP)分别为0.030 4(PLS)和0.046 7(LS-SVM)。研究结果表明近红外反射光谱可以作为一种快速检测牛奶中三聚氰胺的方法。
关键词:可见/近红外光谱;三聚氰胺;牛奶;偏最小二乘法;最小二乘支持向量机
Abstract:In order to investigate the feasibility of near infrared reflectance spectroscopy (NIRS) method for detecting if milk was adulterated with melamine or not, the present work has done the following research. Through adulterating different content of melamine into pure milk, altogether 160 samples were prepared. Using the Handheld Field Spec spectrometer spectral data of the samples were obtained, followed by different pretreatment methods to carry on processing the spectrum data, then establishing the mathematical model separately through comparison with different calibration models using different pretreatment methods, thus we got smoothing of moving average as the pretreatment method. One hundred twenty samples were taken out randomly from 160 samples (all) to set model, with the remaining 40 samples as the validation samples. Two discriminant analysis models were developed by using partial least squares (PLS) method and least squares-support vector machine (LS-SVM) method respectively, and then the other 40 samples were used to test the performance of the models. The coefficients of correlation (r) between the real values and the discriminant analysis models predicted ones were 0.917 4 (PLS) and 0.910 9 (LS-SVM). The root mean standard errors of prediction (RMSEP) were 0.030 4 (PLS) and 0.046 7 (LS-SVM). The results of this study indicated that NIRS method could provide rapid determination for melamine in milk.
Key words:Visible/near infrared spectroscopy;Melamine;Milk;Partial least square regression;Least squares-support vector machine
袁石林,何 勇*,马天云,吴 迪,聂鹏程. 牛奶中三聚氰胺的可见/近红外光谱快速判别分析方法的研究[J]. 光谱学与光谱分析, 2009, 29(11): 2939-2942.
YUAN Shi-lin, HE Yong*, MA Tian-yun, WU Di, NIE Peng-cheng. Fast Determination of Melamine Content in Milk Base on Vis/NIR Spectroscopy Method . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(11): 2939-2942.
[1] FENG Jian-min, JI Jun-hong(冯建民,吉俊红). Chemical Technology Market(化工科技市场), 2006, 29(5): 11. [2] CAI Qin-ren, OUYANG Ying-yu, QIAN Zhen-jie(蔡勤仁,欧阳颖瑜,钱振杰). Chinese Journal of Chromatography(色谱), 2008, 26(3): 339. [3] WANG Yong(汪 勇). M-Sized Nitrogenous Fertilizer Progress(中氮肥), 2008, (2): 57. [4] YUAN Li-yong, MA Chao-wei, DU Ya-hui(袁立勇,马朝卫,杜亚辉). Henan Chemical Industry(河南化工), 2004, 4: 42. [5] YANG Yun-xia, LIU Tong, ZHOU Gui-ying, et al(杨云霞,刘 彤,周桂英,等). Journal of Instrumental Analysis(分析测试学报), 2008, 27(3):322. [6] HE Yong, LI Xiao-li(何 勇,李晓丽). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2006, 25(3):192. [7] Murray I, Aucott L S, Pike I H. Journal of Near Infrared Spectroscopy, 2001, 9: 297. [8] Piraux F, Dardenne P. In: Davies A M C. Proceedings of the Ninth International Conference on Near Infrared Spectroscopy. West Sussex: NIR Publication, 2000. 535. [9] Perez-Marin Dolores C, Garrido-Varo Ana, Guerrero-Ginel J E, et al. Animal Feed Science and Technology, 2004, 116: 333. [10] Vapnik V N. The Nature of Statistical Learning Theory. New York: Springer-Verlag, 1995.