| 光谱学与光谱分析 |
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| The Application of Variable Theoretical α Influence Coefficent to the Matrix Correction in Cr-Fe-Ni Stainless Steel |
| YING Xiao-hu，WANG Qian，CAO Guo-zhou，YU Ming-fang |
| Ningbo Entry-Exit Inspection and Quarantine Administration, Ningbo 315012, China |
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Abstract X-ray fluorescence analysis software Spectra Plus was used to calculate theoretical α influence coefficents of other elements to Cr in seven stainless steel standard samples, theoretical α influence coefficients of elements, by which Cr signal was enhanced, varied largely with the change of elements content. Variable theoretical α influence coefficients, which varied with elements content, were used to correct the matrix effects in stainless steel, the secondary excitation of Cr by other elements were corrected, and Cr (0.3%-20.8%) in stainless steel and low alloy steel could be analysed in accordance with one calibration curve. The matrix effects in samples can be corrected by variable theoretical α influence coefficients, so the measurable content range of calibration curve was enlarged. The contents of fifteen elements Al, Si, P, S, Ti, Cr, Mn, Co, Ni, Cu, As, Mo, Sn, W and Pb in stainless steel were measured by X-ray fluorescence spectrometer, variable theoretical α influence coefficients were used to correct the matrix effects, and the analysis results are comparable to those obtained by wet chemical method.
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Received: 2003-03-26
Accepted: 2003-08-20
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Corresponding Authors:
YING Xiao-hu
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| Cite this article: |
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YING Xiao-hu,WANG Qian,CAO Guo-zhou, et al. The Application of Variable Theoretical α Influence Coefficent to the Matrix Correction in Cr-Fe-Ni Stainless Steel [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2004, 24(12): 1681-1683.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2004/V24/I12/1681 |
[1] HAO Gong-zhang, BO Sai-bin, GAO Xin-hua et al(郝贡章，卜赛斌，高新华等). J. of Instrumental Analysis(分析测试学报)，2001，20(2): 66.
[2] TAN Bing-he, WANG Gui-hua(谭秉和，王桂华). Spectroscopy and Spectral Analysis(光谱学与光谱分析). 2000，20(3): 399.
[3] Criss J W, Birks L S. Anal. Chem.，1968，40：1080.
[4] Lachance G R. Can. Spectrosc.，1970, 15: 64.
[5] SUN Ming-xing，TAN Bing-he, SHAO Guang-di(孙明星，谭秉和，邵光玓). Chinese J. of Analytical Chemistry(分析化学)，1996，24(1): 80.
[6] Claisse F，Quintin M. Can. Spectrosc.，1967，12：129.
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