Quantitative Analysis of Overlapping X-Ray Fluorescence Spectra for Ni, Cu, Zn in Soil by Orthogonal Signal Correction and Partial Least Squares Algorithm

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In this paper, the combination method viz. orthogonal signal correction (OSC) and partial least squares (PLS) algorithm is applied to analyze overlapping X-ray fluorescence spectra. The experiment is carried out by using 16 prepared soil samples which are divided into 4 groups according to their different combinations. Prediction results of these 4 groups are respectively calculated using OSC and PLS algorithm. Influence factors of the model are discussed according to specific samples. The experiment result shows that correction factor of OSC can be increased more than one and OSC-PLS algorithm can effectively eliminate the influence of overlapping XRF spectra and improve the predictive accuracy.

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70-74

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June 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Q. Cai, M.L. Long, M. Zhu, M. Zhu, Q.Z. Zhou, L. Zhang, J. Liu, "Food chain transfer of cadmium and lead to cattle in a lead–zinc smelter in Guizhou, China," Environ. Pollut. 157 (2009) 3078–3082.

DOI: 10.1016/j.envpol.2009.05.048

Google Scholar

[2] T. Radu, D. Diamond, "Comparison of soil pollution concentrations determined using AAS and portable XRF techniques," J. Hazard. Mater. 171(2009)1168-1171.

DOI: 10.1016/j.jhazmat.2009.06.062

Google Scholar

[3] S.D. Rasberry, K.F.J. Heinrich, "Calibration for interelement effects in x-ray fluorescence analysis," Anal. Chem. 46(1974)81.

DOI: 10.1021/ac60337a027

Google Scholar

[4] C. Vanhoof, V. Corthouts, , K. Tirez, "Energy–dispersive X-ray fluorescence systems as analytical tool for assessment of contaminated soil," J. Environ. Monitor. 6(2004)344–350.

DOI: 10.1039/b312781h

Google Scholar

[5] P. Geladi, B.R. Kowalski, "Partial least-squares regression: a tutorial," Anal. Chim. Acta 185(1986)1-17.

DOI: 10.1016/0003-2670(86)80028-9

Google Scholar

[6] C.A. Andersson, "Direct orthogonalization," Chemometr. Intell. Lab. Syst. 47(1999)51–63.

Google Scholar

[7] S. Wold, H. Antti, F. Lindgren, J. Ohman, "Orthogonal signal correction of near-infrared spectra," Chemometr. Intell. Lab. Syst. 44(1998)175–185.

DOI: 10.1016/s0169-7439(98)00109-9

Google Scholar

[8] J. Sjöblom, O. Svensson, M. Josefson, H. Kullberg, S. Wold, "An evaluation of orthogonal signal correction applied to calibration transfer of near infrared spectra," Chemom. Intell. Lab. Syst. 44(1998)229-244.

DOI: 10.1016/s0169-7439(98)00112-9

Google Scholar