| 光谱学与光谱分析 |
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| Research on the Content Prediction Model for the Determination of Nickel in Soil by Portable Energy Dispersive X-Ray Fluorescence Analyzer |
| WANG Guang-xi, LI Dan*, LAI Wan-chang, ZHAI Juan, YANG Zhong-jian, HOU Xin, CAO Fa-ming |
| College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China |
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Abstract The present paper discusses the influence of matrix effect on measurement results when portable energy dispersive X-ray fluorescence analyzer is used for the determination of Ni in soil. Based on the scattered X-ray intensity of WLα emitted from the X-ray tube on the sample, a correction method was proposed, and it combines with the correction of absorption element, which can effectively overcome the matrix effect. The correlation coefficient of the content prediction model based on this method is 0.999 and the residual standard deviation is 2.541. The average relative error is 3.90% when the content prediction model is used to measure the content of Ni in the national standard soil samples, so the results coincide well with standard values, and the precision is high.
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Received: 2013-05-02
Accepted: 2013-06-24
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Corresponding Authors:
LI Dan
E-mail: lidan08@cdut.cn
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[1] BAI Xiao-rui, TANG Jing-chun, SHI Rong-guang, et al(白晓瑞, 唐景春, 师荣光, 等). Journal of Safety and Environment(安全与环境学报), 2011, 11(5): 123.
[2] YANG Ding-qing(杨定清). Southwest China Journal of Agricultural Sciences(西南农业学报), 1996, 9(4): 109.
[3] Li Z, Shuman L M. The Science of the Total Environment, 1996, 191(1-2): 95.
[4] Brown P H, Welch R M, Cary E E. Plant Physiology, 1987, 85(3): 801.
[5] LIAO Jin-feng(廖金凤). Rural Eco-Environment(农村生态环境), 1999, 15 (4): 52.
[6] LIAO Xiao-yong, CHEN Tong-bin, WU Bin, et al(廖晓勇, 陈同斌, 武 斌, 等). Geographical Research(地理研究), 2006, 25(5): 843.
[7] HAO Qi-yong, YIN Er-qin(郝启勇, 尹儿琴). Energy Environmental Protection(能源环境保护), 2012, 26(3): 57.
[8] Ministry of Environmental Protecting of the People’s Republic of China(中华人民共和国环境保护部), GB 15618—1995, Environmental Quality Standard for Soil(国家标准15618—1995: 土壤环境质量标准). Beijing: Standards Press of China(北京: 中国标准出版社), 1995. 1.
[9] REN Hai-xian, WANG Ying-jin(任海仙, 王迎进). Journal of Molecular Science(分子科学学报), 2009, 25(3): 213.
[10] Madan Lal, Choudhury R K, Joseph D, et al. Journal of Radioanalytical and Nuclear Chemistry, 1989, 137(2): 127.
[11] Tiwari M K, Singh A K, Sawhney K J S. Bulletin of Materials Science, 2001, 24(6): 633.
[12] Akeredolu. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1994, 353(1-3): 542.
[13] HUA Li, GUO Xing-peng, YANG Jia-kuan(华 丽, 郭兴蓬, 杨家宽). Journal of Huazhong Normal University(Nat. Sci.)(华中师范大学学报·自然科学版), 2009, 43(4): 622.
[14] ZHANG Wei, ZHANG Yu-jun, CHEN Dong(章 炜, 张玉钧, 陈 东). Laser&Optoelectronics Progress(激光与光电子学进展), 2012, (1): 137.
[15] ZHANG Wei, ZHANG Yu-jun, CHEN Dong, et al(章 炜, 张玉钧, 陈 东, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2012, 32(4): 1123.
[16] XIE Zhong-xin, ZHAO Zong-ling, ZHANG Yu-bin, et al(谢忠信, 赵宗铃, 张玉斌, 等). X-Ray Spectral Analysis(X射线光谱分析), Beijing: Science Press(北京: 科学出版社), 1982. 291, 331.
[17] GE Liang-quan, ZHOU Si-chun, LAI Wan-chang(葛良全, 周四春, 赖万昌). In-Situ X Radiation Sampling Technique(原位X辐射取样技术). Chengdu: Science and Technology Press(成都: 科学技术出版社), 1997. 75, 83.
[18] GE Liang-quan, ZHANG Ye, XIE Ting-zhou, et al(葛良全, 章 晔, 谢庭周, 等). Geoscience(现代地质), 1994, 8(3): 335.
[19] HOU Sheng-li, ZHANG Ye(侯胜利, 章 晔). Geoscience(现代地质), 1999, 13(1): 117. |
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