摘要： 通过Spectra Plus X射线荧光光谱分析软件计算了7个不锈钢标准样品中的其它元素对Cr的理论α影响系数，发现对Cr有二次激发的增强元素的理论α影响系数随着元素含量的变化变动较大。采用随元素含量的变化而变化的理论α影响系数校正不锈钢中的基体效应，较好地校正了其他元素对Cr的增强效应，并使不锈钢和低合金钢中的Cr含量(0.3%～20.8%)可以通过一条校准曲线进行测量。变化的理论α影响系数可以校正含量变化较大的元素的基体效应，可以适当延伸校准曲线的含量分析范围。采用X射线荧光光谱法测定不锈钢中的Al，Si，P，S，Ti，Cr，Mn，Co，Ni，Cu，As，Mo，Sn，W，Pb等15个元素的含量，用变化的理论α影响系数校正基体效应，测量结果与湿法化学分析结果相符。
关键词：X射线荧光光谱;不锈钢;基体效应
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.
[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.
