光散射学报, 2013, 25 (1): 92, 网络出版: 2014-03-11   

二维相关近红外光谱检测牛奶中的三聚氰胺

Detection of Melamine in Milk by Two-dimensional Near-infrared Correlation Spectroscopy
作者单位
1 天津大学精密测试技术及仪器国家重点实验室, 天津 300072
2 天津农学院机电工程系, 天津 300384
摘要
配置合格的纯牛奶样本及含有三聚氰胺质量浓度范围为0.01 g/L~3 g/L的掺杂牛奶样本各20个, 并采集其近红外光谱。以牛奶中掺杂三聚氰胺浓度为外扰, 构建二维相关同步谱, 研究其相关谱特性。在此基础上, 结合偏最小二乘判别分析法(PLS-DA)建立定性模型, 可以实现纯牛奶与掺伪牛奶的定性鉴别, 正确识别率达100%。同时, 将二维相关近红外同步谱矩阵与偏最小二乘法(PLS)结合起来, 建立定量分析牛奶中掺杂三聚氰胺的数学模型。对未知样品的预测相关系数R达到0.98, 预测均方根误差(RMSEP)为0.18 g/L, 说明基于同步相关谱矩阵建立定量分析的数学模型是可行的。该方法无需样品处理, 成本低, 为快速检测掺伪牛奶提供了一种新的途径。
Abstract
20 pure milk samples and 20 adulterated milk samples with different mass concentration of melamine(0.01~3 g/L) were prepared and their near infrared spectra were collected. The two-dimensional correlation spectra were calculated under the perturbation of adulteration concentration. The characteristics of two-dimensional correlation spectra of adulterated milk were studied. Partial least squares discriminate analysis (PLS-DA) was applied to differentiate the pure milk samples and the adulterated milk samples. The classification accuracy was 100%. At the same time, the model for quantitative analysis of melamine concentration in the adulterated milk samples was constructed by partial least square (PLS) combined with two-dimensional near infrared correction spectra. Results showed that the root mean square error of prediction (RMSEP) was 0.18 g/L. The correlation coefficient between reference values and predicted values was 0.98. The method does not rely on sample separation, and provides alternative way to detect the adulterant of milk.

刘蓉, 杨仁杰, 徐可欣. 二维相关近红外光谱检测牛奶中的三聚氰胺[J]. 光散射学报, 2013, 25(1): 92. LIU Rong, YANG Ren-jie, XU Ke-xin. Detection of Melamine in Milk by Two-dimensional Near-infrared Correlation Spectroscopy[J]. The Journal of Light Scattering, 2013, 25(1): 92.

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