Application of Energy-Dispersive X-Ray Fluorescence Spectrometry to the Determination of As, Zn, Pb and Cr in Soil

被引:3
作者
Wang Shi-fang [1 ]
Luo Na [1 ]
Han Ping [1 ]
机构
[1] Beijing Res Ctr Agr Stand & Testing, Beijing 100097, Peoples R China
关键词
X-ray fluorescence spectrometry; Soil heavy metals; Two-dimensional correlation spectroscopy; Partial least squares regression; MOISTURE; XRF;
D O I
10.3964/j.issn.1000-0593(2018)05-1648-07
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
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 numbers of heavy metal elements were obtained by using two-dimensional correlation spectroscopy. The variable numbersof Pb (10.380 similar to 10.740 and 12.435 similar to 12.900 keV), As (10.380 similar to 10.740 and 11.610 similar to 11.880 keV), Cr (5.310 similar to 5.520 and 5.805 similar to 6.015 keV) and Zn (8.520 similar to 8.805 and 9.555 similar to 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 R-p, 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.
引用
收藏
页码:1648 / 1654
页数:7
相关论文
共 24 条
[1]  
Anjos M.J.D., 2000, SPECTROCHIM ACTA B, V55, P1189
[2]   Correction for the effect of soil moisture on in situ XRF analysis using low-energy background [J].
Bastos, R. O. ;
Melquiades, F. L. ;
Biasi, G. E. V. .
X-RAY SPECTROMETRY, 2012, 41 (05) :304-307
[3]   RESULTS OF FIELD-PORTABLE X-RAY-FLUORESCENCE ANALYSIS OF METAL CONTAMINANTS IN SOIL AND SEDIMENT [J].
BERNICK, MB ;
KALNICKY, DJ ;
PRINCE, G ;
SINGHVI, R .
JOURNAL OF HAZARDOUS MATERIALS, 1995, 43 (1-2) :101-110
[4]   In-Situ Differentiation of Acidic and Non-Acidic Tundra via Portable X-ray Fluorescence (PXRF) Spectrometry [J].
Chakraborty, Somsubhra ;
Weindorf, David C. ;
Michaelson, Gary J. ;
Ping, Chien Lu ;
Choudhury, Ashok ;
Kandakji, Tarek ;
Acree, Autumn ;
Sharma, Akriti ;
Dandan, Wang .
PEDOSPHERE, 2016, 26 (04) :549-560
[5]  
Deng W., 2015, J EARTH ENV, V6, P219, DOI [10.7515/JEE201504003, DOI 10.7515/JEE201504003]
[6]  
Hua R, 2003, J PHARMACEUT BIOMED, V2, P199
[7]   Analysis of Lead in Soil with Partial Least Square Regression (PLS) Method and Field Portable X-Ray Fluorescence (FPXRF) Analyzer [J].
Huang Qi-ting ;
Zhou Lian-qing ;
Shi Zhou ;
Li Zhen-yu ;
Gu Qun .
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29 (05) :1434-1438
[8]   A robust X-ray fluorescence technique for multielemental analysis of solid samples [J].
Kallithrakas-Kontos, Nikolaos ;
Foteinis, Spyros ;
Paigniotaki, Katherine ;
Papadogiannakis, Minos .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2016, 188 (02) :1-10
[9]   Establishment and Improvement of Portable X-Ray Fluorescence Spectrometer Detection Model Based on Wavelet Transform [J].
Li Fang ;
Wang Ji-hua ;
Lu An-xiang ;
Han Ping .
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35 (04) :1111-1115
[10]   Advances in two-dimensional correlation spectroscopy [J].
Noda, I .
VIBRATIONAL SPECTROSCOPY, 2004, 36 (02) :143-165