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Position: Home > Articles > Discrimination of Milk Adulteration with Urea Based on Near Infrared Spectroscopy FOOD SCIENCE 2012,33 (16) 120-123

基于近红外光谱对牛奶中掺杂尿素的判别分析

作  者：
杨仁杰;刘蓉;徐可欣
单  位：
天津农学院机电工程系;天津大学精密测试技术及仪器国家重点实验室
关键词：
近红外光谱;牛奶;尿素;掺杂;偏最小二乘判别分析法
摘  要：
采集40个合格的纯牛奶样品,并配制含有尿素为1～20g/L的40个牛奶样品,研究掺杂尿素牛奶的二维相关近红外特性,在此基础上选择波数4200～4800cm-1为建模区间,采用偏最小二乘法建立定性、定量模型。结果指出通过判别偏最小二乘法可以实现纯牛奶及掺杂尿素牛奶的定性鉴别,判别正确率为100%;掺杂牛奶校正集相关系数R为0.999,交叉验证均方差为0.242,对未知样品集预测相关系数R达到0.999,预测标准偏差为0.57,这表明所建模型具有较好的预测效果。
译  名：
Discrimination of Milk Adulteration with Urea Based on Near Infrared Spectroscopy
作  者：
YANG Ren-jie1,2,LIU Rong1,XU Ke-xin1(1.State Key Laboratory of Precision Measuring Technology and Instruments,Tianjin University,Tianjin 300072,China; 2.Department of Electromechanical Engineering,Tianjin Agricultural University,Tianjin 300384,China)
关键词：
near-infrared spectroscopy;milk;urea;adulteration;partial least square-discriminate analysis
摘  要：
Forty eligible pure milk samples were collected and 40 adulterated milk samples were prepared by adding urea with various concentrations(1-20 g/L).Two-dimensional correlation spectroscopy was calculated under the perturbation of adulteration.Based on the 2D correlation infrared spectroscopic characteristics,the spectra in the range of 4200-4800 cm-1 were selected for quantitative and qualitative by partial least squares.There results showed that a 100% recognition rate of samples was achieved by partial least square-discriminate analysis(PLS-DA).The correlation coefficient(R) of calibration sets was 0.999,and the root mean square errors of cross validation(RMSECV) were 0.242.The R between the predicted values and actual values was 0.999,and the root mean square errors of prediction(RMSEP) were 0.57.Therefore,the developed models have good prediction capacity.

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