采用光谱法快速筛选大米中的镉并鉴定其地理来源。

Rapid Screening of Cadmium in Rice and Identification of Geographical Origins by Spectral Method.

机构信息

Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.

Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China.

出版信息

Int J Environ Res Public Health. 2018 Feb 11;15(2):312. doi: 10.3390/ijerph15020312.

The accuracy, repeatability and detection limits of the energy-dispersive X-ray fluorescence (XRF) spectrometer used in this study were tested to verify its suitability for rapid screening of cadmium in samples. Concentrations of cadmium in rice grain samples were tested by the XRF spectrometer. The results showed that the apparatus had good precision around the national limit value (0.2 mg/kg). Raman spectroscopy has been analyzed in the discrimination of rice grain samples from different geographical origins within China. Scanning time has been discussed in order to obtain better Raman features of rice samples. A total of 31 rice samples were analyzed. After spectral data pre-treatment, principal component analysis (PCA), K-means clustering (KMC), hierarchical clustering (HC) and support vector machine (SVM) were performed to discriminate origins of rice samples. The results showed that the geographical origins of rice could be classified using Raman spectroscopy combined with multivariate analysis.

本研究使用的能量色散 X 射线荧光（XRF）光谱仪的准确性、可重复性和检测限进行了测试，以验证其用于快速筛选样品中镉的适用性。使用 XRF 光谱仪测试了稻谷样品中的镉浓度。结果表明，该仪器在国家限量值（0.2mg/kg）附近具有良好的精度。拉曼光谱已被用于分析来自中国不同地理来源的稻谷样品的区分。为了获得更好的稻谷样品的拉曼特征，已经讨论了扫描时间。共分析了 31 个稻谷样品。在光谱数据预处理之后，进行了主成分分析（PCA）、K-均值聚类（KMC）、层次聚类（HC）和支持向量机（SVM），以区分稻谷样品的来源。结果表明，利用拉曼光谱结合多元分析可以对稻谷的产地进行分类。