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Determination of Cr, Cu, Zn, Pb and As in Soil by Field Portable X-Ray Fluorescence Spectrometry

文献类型： 外文期刊

作者： Lu An-xiang 1 ; Wang Ji-hua 1 ; Pan Li-gang 1 ; Han Ping 1 ; Han Ying 3 ;

作者机构： 1.Beijing Res Ctr Agri Food Testing & Farmland Moni, Beijing 100097, Peoples R China

2.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

3.Beijing Purkinje Gen Instrument Co Ltd, Beijing 100081, Peoples R China

关键词： X-ray fluorescence;Soil;Heavy metal;Rapid analysis

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2010 年 30 卷 10 期

页码：

收录情况： SCI

摘要： Total concentrations of Cr, Cu, Zn, Pb and As were determined in soil samples from Beijing, Xinjiang, Heilongjiang, Yunnan, and Jiangsu provinces, using field portable X-ray fluorescence spectrometry (XRF). The relationship between XRF analysis results and the concentration of heavy metals in soils was established. The influence of soil particle size and humidity was also considered. Experiments showed that the particle size of soil affected XRF performance. While particle size decreased from 420 to 180 mu m, the relative standard deviation (RSD) of XRF detect results reduced from 15.6% to 6.9%. Soil humidity mainly affected the counts of XRF measured. As the soil water content increased from 5% to 25%, the analysis result's relative ratio of humid soil samples to oven dried soil samples decreased from 86% to 69%, according with the equation 1=100e(-0.015c) where 1 means relative ratio, and c means water content (R(2) =0. 83, n=30). A high degree of linearity was found for all the five heavy metals with the XRF measurement in the range of 0 to 1 500 mg . kg(-1). But the linearity equation was not the same among these soils. The linearity equation established with Yunnan soil has a small slope because of higher Fe concentration in soil. The performance of instrument was assessed by comparing XRF analysis result with the standard sample reference, and the result showed that XRF is an effective tool for rapid, quantitative monitoring of soil metal contamination.

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