The Research on Matrix Effect and Correction Technology of Rock Sample in In-Situ Energy Dispersive X-Ray Fluorescence Analysis
CHENG Feng1, 2, GU Yi1, 2*, GE Liang-quan1, 2, ZHAO Jian-kun1, LI Meng-ting1, ZHANG Ning1
1. The College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China 2. Applied Nuclear Techniques in Geosciences Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, China
Abstract:The mineral constituents of the rock sample can be analyzed with in-situ energy dispersive X-ray fluorescence analysis technology (In-situ EDXRF), the matrix effect of rock sample will effects on measurement results. The Monte Carlo simulation method is used to conduct fluorescence analysis spectrum with ideal measurement conditions, which provides analytical data for matrix effect research. The measured spectrum of seventeen kinds rock samples are being simulated, which has the same Cu content. Therefore, the influences with matrix effect of rock sample in in-situ EDXRF take Cu element for example. Based on correlation between Cu Kα X-ray intensity and spectral parameters, considering elements similarity of all kinds rock samples, it is found that the variation the Cu Kα X-ray intensity not only by the control of rock elements composition or rock classification. The matrix effect of rock samples must be classified according correlation between Cu Kα X-ray intensity and spectral parameters. After the matrix effect classification, fifteen kinds of rock samples, which belong to the same matrix effect, can be corrected more effective. Based on principal component analysis of similar matrix effect rock samples, it is found that the scattering background, target element K-series X-ray of X-ray tube and its incoherent scatter intensity can be a good description of Cu Kα X-ray intensity which is affected by rock matrix, thus it can be used to correct the Cu element measurement results. Certainly, this technology can also provide reference for matrix effect correction to other elements in rock.
程 锋1, 2,谷 懿1, 2*,葛良全1, 2,赵剑锟1,李梦婷1,张 宁1 . 原位能量色散X射线荧光分析中岩样基体效应及其修正研究 [J]. 光谱学与光谱分析, 2017, 37(03): 919-923.
CHENG Feng1, 2, GU Yi1, 2*, GE Liang-quan1, 2, ZHAO Jian-kun1, LI Meng-ting1, ZHANG Ning1 . The Research on Matrix Effect and Correction Technology of Rock Sample in In-Situ Energy Dispersive X-Ray Fluorescence Analysis. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(03): 919-923.
[1] JI Ang(吉 昂). Rock and Mineral Analysis(岩矿测试), 2012, 31(3): 383. [2] JI Ang, ZHUO Shang-jun, LI Guo-hui(吉昂, 卓尚军, 李国会). Energy Dispersive X-ray Fluorescence Spectrum(能量色散X射线荧光光谱). Beijing: Science Press(北京: 科学出版社), 2011. [3] Steven M Shackley. X-Ray Fluorescence Spectrometry (XRF) in Geoarchaeology. New York: Springer Science+Business Media. [4] QI Hai-jun, WANG Jian-ying, ZHANG Xue-feng, et al(齐海君, 王建英, 张雪峰, 等). Spectroscopy and Spectral Anaylsis(光谱学与光谱分析), 2015, 35(12): 3510. [5] GE Liang-quan, ZHANG Ye(葛良全, 章 晔). Journal of Chengdu College of Geology(成都地质学院学报), 1991, 17(4): 118. [6] Moxtek, Inc. Mobile Miniature X-Ray Source. United States, 2002, Patent No: US6661876B2. [7] ZHONG Rui-yuan, TENG Yi-jun, KONG Hua, et al(种瑞元, 滕以俊, 孔 华, 等). Rock Classification and Identification(岩石分类命名与鉴定). Shenyang: Liaoning Bureau of Geology and Mineral Resurces(沈阳: 辽宁省地质矿产局), 1984. [8] A Markowicz. Pramana-J. Phys., 2011, 76(2): 321. [9] Hunter D B, Bertsch P M. Journal of Radioanalytical and Nuclear Chemistry, 1998, 234: 237. [10] Pagès-Camagna S, Laval E, Vigears D, et al. Appl. Phys. A, 2010, 100: 671.