|
|
|
|
|
|
Studies on Characteristics on a Combined Wavelength and Energy Dispersion X-Ray Fluorescence Spectrometer and Determinations of Major, Minor and Trace Elements in Soils around a Mining Area |
SHEN Ya-ting1, LI Ying-chun1, SUN Meng-he1,2, HE Yu-jun1,2, WANG Yan-fei1,2, LIN Ya-jie1,2 |
1. National Research Center for Geoanalysis, Beijing 100037, China
2. Faculty of Materials Science and Chemistry, China University of Geosciences (Wuhan), Wuhan 430074, China |
|
|
Abstract The combination of wavelength dispersive and energy dispersion X-ray fluorescence analysis would take both of advantage of wavelength dispersive and energy dispersive. Now, A combined wavelength dispersive and energy dispersion X-ray fluorescence spectrometer was used in analysis of major, minor and trace elements in the soil samples taken from the fields around a Pb-Zn mine. The WD-ED XRF analytical method performance was evaluated by their uncertainty. The results revealed that (1) WDXRF shows more sensitive to the light elements, such as Na,Mg,Al,Si. (2) The limits of detections (LOD) of Na2O, MgO, Al2O3, P2O5, K2O by WDXRF are lower than those by EDXRF. The LODs of of SiO2, SO3, CaO, MnO and Fe2O3 are lower than those by WDXRF. For the minor and trace elements which have heavy overlap of spectral lines, WDXRF gives lower LOD; (3) For major elements,the analytical accuracy of the elements before K by WDXRF are better than those by EDXRF. For the elements after Ca, the accuracy by EDXRF are better. For minor and trace elements, if there are heavy overlapped spectral lines, WDXRF give more accurate results. Without heavy overlapped spectral lines, the accuracy of EDXRF is better; (4) Powder pellets with wax as binder were used in WD-EDXRF analysis without any observed drop of sample powder. Soil samples were determined. Generally, no significant differences were observed between measured results and certified values. (5) The WD-EDXRF method was applied to the determination of major, minor and trace elements in the surface soils in the mining area, and high concentrations of Cu, Pb and Zn were detectable; (6) The distributions of heavy elements were obtained in soils from the agricultural fields, and the high concentrations of Pb observed, which implies that the agricultural soils may have been polluted by the mining activities. And health risks need to be evaluated further.
|
Received: 2016-10-12
Accepted: 2017-02-18
|
|
|
[1] Luo L, Chu B, Liu Y, et al. Environmental Science and Pollution Research, 2014, 21(13): 8242.
[2] Gupta D K, Huang H G, Corpas F J. Environmental Science and Pollution Research, 2013, 20(4): 2150.
[3] Fischer S, Kuhnlenz T, Thieme M, et al. Environmental Science & Technology, 2014, 48(13): 7552.
[4] Kim S, Arora M, Fernandez C, et al. Environmental Research, 2013, 126: 105.
[5] Casiot C, Egal M, Bruneel O, et al. Environmental Science & Technology, 2011, 45(6): 2056.
[6] Luo L, Chu B, Li Y, et al. X-Ray Spectrometry, 2012, 41(3): 133.
[7] Gupta D, Roy S, Ghosh R, et al. X-Ray Spectrometry, 2013, 42(4): 268.
[8] Arana A, Loureiro A L, Barbosa H M J, et al. X-Ray Spectrometry, 2014, 43(4): 228.
[9] Gonzalez-Fernandez O, Batista M J, Abreu M M, et al. X-Ray Spectrometry, 2011, 40(5): 353.
[10] Luo L, Shen Y, Liu J, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2016, 122: 40.
[11] Gazulla M F, Rodrigo M, Vicente S, et al. X-Ray Spectrometry, 2010, 39(5): 321. |
[1] |
XU Tian1, 2, LI Jing1, 2, LIU Zhen-hua1, 2*. Remote Sensing Inversion of Soil Manganese in Nanchuan District, Chongqing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 69-75. |
[2] |
LI Hu1, ZHONG Yun1, 2, FENG Ya-ting1, LIN Zhen1, ZHU Shi-jiang1, 2*. Multi-Vegetation Index Soil Moisture Inversion Model Based on UAV
Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 207-214. |
[3] |
HAN Xue1, 2, LIU Hai1, 2, LIU Jia-wei3, WU Ming-kai1, 2*. Rapid Identification of Inorganic Elements in Understory Soils in
Different Regions of Guizhou Province by X-Ray
Fluorescence Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 225-229. |
[4] |
MENG Shan1, 2, LI Xin-guo1, 2*. Estimation of Surface Soil Organic Carbon Content in Lakeside Oasis Based on Hyperspectral Wavelet Energy Feature Vector[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3853-3861. |
[5] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
[6] |
CUI Song1, 2, BU Xin-yu1, 2, ZHANG Fu-xiang1, 2. Spectroscopic Characterization of Dissolved Organic Matter in Fresh Snow From Harbin[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3937-3945. |
[7] |
GUO Wei1, CHANG Hao2*, XU Can3, ZHOU Wei-jing2, YU Cheng-hao1, JI Gang2. Effect of Continuous Laser Irradiation on Scattering Spectrum
Characteristics of GaAs Cells[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3674-3681. |
[8] |
CHENG Hui-zhu1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, MA Qian1, 2, ZHAO Yan-chun1, 2. Genetic Algorithm Optimized BP Neural Network for Quantitative
Analysis of Soil Heavy Metals in XRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3742-3746. |
[9] |
YI Min-na1, 2, 3, CAO Hui-min1, 2, 3*, LI Shuang-na-si1, 2, 3, ZHANG Zhu-shan-ying1, 2, 3, ZHU Chun-nan1, 2, 3. A Novel Dual Emission Carbon Point Ratio Fluorescent Probe for Rapid Detection of Lead Ions[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3788-3793. |
[10] |
LIU Wei1, 2, ZHANG Peng-yu1, 2, WU Na1, 2. The Spectroscopic Analysis of Corrosion Products on Gold-Painted Copper-Based Bodhisattva (Guanyin) in Half Lotus Position From National Museum of China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3832-3839. |
[11] |
LIN Hong-jian1, ZHAI Juan1*, LAI Wan-chang1, ZENG Chen-hao1, 2, ZHAO Zi-qi1, SHI Jie1, ZHOU Jin-ge1. Determination of Mn, Co, Ni in Ternary Cathode Materials With
Homologous Correction EDXRF Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3436-3444. |
[12] |
XIE Peng, WANG Zheng-hai*, XIAO Bei, CAO Hai-ling, HUANG Yi, SU Wen-lin. Hyperspectral Quantitative Inversion of Soil Selenium Content Based on sCARS-PSO-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3599-3606. |
[13] |
HUANG Zhao-di1, CHEN Zai-liang2, WANG Chen3, TIAN Peng2, ZHANG Hai-liang2, XIE Chao-yong2*, LIU Xue-mei4*. Comparing Different Multivariate Calibration Methods Analyses for Measurement of Soil Properties Using Visible and Short Wave-Near
Infrared Spectroscopy Combined With Machine Learning Algorithms[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3535-3540. |
[14] |
LI Xiao-li1, WANG Yi-min2*, DENG Sai-wen2, WANG Yi-ya2, LI Song2, BAI Jin-feng1. Application of X-Ray Fluorescence Spectrometry in Geological and
Mineral Analysis for 60 Years[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 2989-2998. |
[15] |
AN Bai-song1, 2, WANG Xue-mei1, 2*, HUANG Xiao-yu1, 2, KAWUQIATI Bai-shan1, 2. Hyperspectral Estimation of Soil Lead Content Based on Random Frog Band Selection Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3302-3309. |
|
|
|
|