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基于可见/近红外光谱法快速测定牛奶中三聚氰胺含量

[Fast determination of melamine content in milk base on Vis/NIR spectroscopy method].

作者信息

Yuan Shi-Lin, He Yong, Ma Tian-Yun, Wu Di, Nie Peng-Cheng

机构信息

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2009 Nov;29(11):2939-42.

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 ran domly 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) metho 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.

摘要

为了研究近红外反射光谱(NIRS)法检测牛奶是否掺假三聚氰胺的可行性,本研究开展了以下工作。通过向纯牛奶中掺入不同含量的三聚氰胺,共制备了160个样品。使用手持式Field Spec光谱仪获取样品的光谱数据,随后采用不同的预处理方法对光谱数据进行处理,然后通过与使用不同预处理方法的不同校准模型进行比较分别建立数学模型,从而得到移动平均平滑法作为预处理方法。从160个样品中随机抽取120个样品建立模型,其余40个样品作为验证样品。分别采用偏最小二乘法(PLS)和最小二乘支持向量机(LS-SVM)方法建立了两种判别分析模型,然后用另外40个样品对模型性能进行测试。实际值与判别分析模型预测值之间的相关系数(r)分别为0.917 4(PLS)和0.910 9(LS-SVM)。预测的均方根误差(RMSEP)分别为0.030 4(PLS)和0.046 7(LS-SVM)。本研究结果表明,近红外反射光谱法可为牛奶中三聚氰胺的快速测定提供方法。

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