Coefficient effectiveness judgment of overlapping line and matrix effect correction in wavelength dispersive X-ray fluorescence spectrometry and its application in determination of heavy metal elements in soil and sediment samples
YIN Hui-min, DU Zhen-yu, REN Li-jun, LI Yu-wu*
National Research Center for Environmental Analysis and Measurements, Beijing 100029, China
Abstract：It is difficult for analysts to choose elements involved in the matrix correction model in wavelength dispersive X-ray fluorescence spectrometry (WD-XRF). It is not better to choose more elements in the model. When using the empirical coefficient method to establish a correction model, it is suggested to judge the effectiveness of elements in spectral line overlap and matrix effect correction model by t-value method. The WD-XRF method for determination of heavy metal elements such as As, Cr, Cu, Co, Ni, Pb, Zn, Mn, and V in soil and sediment samples was used as an example to verify t-value method. The t-value method and unknown sample test results were used to select and verify matrix correction models at the same time, which avoids the blindness of repeated attempts. The accuracy and precision of the method were evaluated using four soil and seven sediment standard samples. The proposed method was also validated based on three soil inspection samples. The quality index of precision and accuracy of all test sample analysis results was in line with routine quality control/quality assurance (QC/QA) requirement, which could be used for quality control in those test laboratories which participate in the project of detailed investigation on heavy metal pollution in soil. As a useful statistics tool, the t-value method could also be used for the establishment of WD-XRF matrix correction models in other fields.
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YIN Hui-min, DU Zhen-yu, REN Li-jun, LI Yu-wu. Coefficient effectiveness judgment of overlapping line and matrix effect correction in wavelength dispersive X-ray fluorescence spectrometry and its application in determination of heavy metal elements in soil and sediment samples. , 2018, 38(7): 1-11.
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