X射线荧光光谱设备对土壤中重金属检测的适用性分析

Analysis of the Applicability of X-ray Fluorescence Spectrometry for Heavy Metal Detection in Soil

  • 摘要: 本研究探讨了X射线荧光光谱(XRF)技术检测不同类型及污染程度农田土壤样品中重金属的适用性。通过选取不同土壤类型和不同污染程度的土壤样品, 并选用3款不同应用场景的单波长或普通能量色散XRF设备, 快速测定供试土壤中重金属元素铅(Pb)、镉(Cd)、铬(Cr)、铜(Cu)、锌(Zn)和镍(Ni)浓度, 并分析了土壤性质对XRF检测结果的影响程度。同时, 通过与电感耦合等离子体质谱法(ICP-MS)实验室测定结果进行比对, 开展了XRF技术在实际污染土壤重金属检测中的适用性分析。结果表明, XRF检测土壤中Pb、As、Cu和Zn等元素表现出较高的准确性和稳定性, 相对误差和相对标准偏差(RSD)大多在20%以下, 适用于这些元素的快速筛查; 但对于Cd、Cr和Ni的检测结果, 在高浓度铁(Fe)、钙(Ca)或高有机质的土壤中受基体效应和光谱干扰显著, 误差较大, 影响了检测的准确性。此外, 研究评估了3款XRF仪器在不同污染程度土壤中的检测性能, 发现台式单波长仪器在低浓度和高浓度样品中均表现优异, 而手持式单波长和普通手持式仪器分别适用于土壤重金属中高污染和快速筛查场景。本研究可为XRF技术在土壤重金属快速检测中的应用提供参考。

     

    Abstract: This study explores the applicability of X-ray fluorescence spectroscopy (XRF) technology in detecting heavy metals in farmland soil samples of different types and contamination levels. By selecting soil samples of various types and contamination levels, and using three single-wavelength or conventional energy-dispersive types of XRF devices tailored to different application scenarios, we quickly determined the concentrations of heavy metals such as lead (Pb), cadmium (Cd), chromium (Cr), copper (Cu), zinc (Zn), and nickel (Ni) in the tested soil samples, while analyzing the influence of soil properties on XRF detection results. At the same time, we conducted an applicability analysis of XRF technology in detecting heavy metals in polluted soils by comparing the results with those obtained from laboratory determinations using inductively coupled plasma mass spectrometry (ICP-MS). The results show that XRF detection of elements such as Pb, As, Cu, and Zn in the soil exhibited high accuracy and stability, with relative errors and relative standard deviations (RSD) mostly below 20%, which makes XRF suitable for rapid screening of these elements. However, the detection results for Cd, Cr, and Ni were significantly affected by matrix effects and spectral interferences in soils with high concentrations of iron (Fe), calcium (Ca), or organic matter, leading to considerable errors and impacting the accuracy of detection. In addition, the study evaluated the detection performance of the three XRF instruments in soils with different levels of contamination, revealing that the desktop single-wavelength instrument performed excellently in both low and high concentration samples, while the handheld single-wavelength and conventional handheld instruments were respectively suitable for high contamination scenarios and rapid screening of soil heavy metals. This study can provide a reference for the application of XRF technology in the rapid detection of heavy metals in soil.

     

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