首页 | 本学科首页   官方微博 | 高级检索  
     检索      

能量色散X射线荧光光谱检测土壤重金属砷、锌、铅和铬
作者单位:北京农业质量标准与检测技术研究中心,北京 100097
基金项目:The National Key Research and Development Program of China (2017YFD0801201)
摘    要:利用X射线荧光光谱检测土壤重金属砷、锌、铅和铬元素的含量。通过分析仪器检出限和准确度,得出仪器适用性良好。然后,利用二维相关同步光谱获得重金属元素的X射线荧光光谱能谱范围和变量数,得出铅元素的能谱范围分别为10.380~10.740和12.435~12.900 keV,砷元素的能量范围是10.380~10.740和11.610~11.880 keV,铬元素的能量范围是5.310~5.520和5.805~6.015 keV, 锌元素的能量范围是8.520~8.805和9.555~9.630 keV,铅、砷、铬和锌的变量数分别为57,44,30和26。最后,根据获得的能谱范围,采用偏最小二乘回归方法建立重金属元素的X射线荧光光谱定量分析模型,得出砷元素的模型性能最佳,其次是铅、锌和铬,预测相关系数都高于0.92。研究表明,利用二维相关光谱获得的能谱范围有助于提高模型的预测性能和便携式X射线荧光光谱检测仪器适用于土壤重金属的原位监测。

关 键 词:X射线荧光光谱  土壤重金属  二维相关同步光谱  偏最小二乘回归  
收稿时间:2017-06-12

Application of Energy-Dispersive X-Ray Fluorescence Spectrometry to the Determination of As,Zn,Pb and Cr in Soil
Authors:WANG Shi-fang  LUO Na  HAN Ping
Institution:Beijing Research Center for Agriculture Standards and Testing, Beijing 100097, China
Abstract:Total concentrations of As, Zn, Pb and Cr were determined in soil samples by using X-ray fluorescence spectrometry. The instrument applicability was good by analyzing the detection limit and accuracy of the instrument. Then, the energy rangesand variable numbersof heavy metal elements were obtained by using two-dimensional correlation spectroscopy. The variable numbersof Pb (10.380~10.740 and 12.435~12.900 keV), As (10.380~10.740 and 11.610~11.880 keV), Cr (5.310~5.520 and 5.805~6.015 keV) and Zn (8.520~8.805 and 9.555~9.630 keV) were 57, 44, 30 and 26, respectively. Finally, X-ray fluorescence spectrometry analysis models for heavy metal elements were established based on selected energy ranges by using partial least-squares regression. The results showed that the model performance was best for As, followed by Pb, Zn and Cr, and Rp were higher than 0.92. The study indicated that the prediction performance of model is improved using optimal energy ranges and the PXRF analyzer is suitable for in-situ monitoring of heavy metals in soil.
Keywords:X-ray fluorescence spectrometry  Soil heavy metals  Two-dimensional correlation spectroscopy  Partial least squares regression  
点击此处可从《光谱学与光谱分析》浏览原始摘要信息
点击此处可从《光谱学与光谱分析》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号