Simulation Study of Quantitative X-Ray Fluorescence Analysis of Ore Slurry Using Partial Least-Squares Regression

LIN Caishou (林才寿); MAO Li (毛莉); HUANG Ning (黄宁); AN Zhu (安竹)

doi:10.1088/1009-0630/14/5/22

Plasma Science and Technology > 2012 > 14(5): 427-430. > DOI: 10.1088/1009-0630/14/5/22

LIN Caishou (林才寿), MAO Li (毛莉), HUANG Ning (黄宁), AN Zhu (安竹). Simulation Study of Quantitative X-Ray Fluorescence Analysis of Ore Slurry Using Partial Least-Squares Regression[J]. Plasma Science and Technology, 2012, 14(5): 427-430. DOI: 10.1088/1009-0630/14/5/22

Citation:

PDF (2758 KB)

Simulation Study of Quantitative X-Ray Fluorescence Analysis of Ore Slurry Using Partial Least-Squares Regression

1 Key Laboratory of Radiation Physics and Technology of Ministry of Education, Institute of Nuclear Science and Technology, Sichuan University, Chengdu 610064, China 2 Institute of Multipurpose Utilization of Mineral Resources, Chengdu 610041, China

Funds: Supported by the Ministry of Science and Technology of China (No. 2008EG130243)

More Information

Received Date: May 16, 2011

Graphical Abstract

Abstract

Abstract

X-ray fluorescence (XRF) in combination with partial least-squares regression (PLS) was employed to analyze the ore slurry grade. Using the Monte Carlo simulation code PENELOPE, X-ray fluorescence spectra of ore samples were obtained. Good accuracy was achieved when this method was used to analyze elements with concentrations of several percent or above. It was demonstrated that the more the number of X-ray fluorescence spectra used to calibrate, the better the obtained accuracy. In this method detector resolution was found to have little or no effect on the results of quantitative analysis. The effect of the concentration of water was investigated as well, and it was found to have little influence on the results.
- X-ray fluorescence,
- PLS,
- ore slurry grade,
- Monte Carlo simulation

FullText(HTML)

References (0)

[1]	Jiamin LIU (刘佳敏), Ding WU (吴鼎), Cailong FU (付彩龙), Ran HAI (海然), Xiao YU (于潇), Liying SUN (孙立影), Hongbin DING (丁洪斌). Improvement of quantitative analysis of molybdenum element using PLS-based approaches for laser-induced breakdown spectroscopy in various pressure environments[J]. Plasma Science and Technology, 2019, 21(3): 34017-034017. DOI: 10.1088/2058-6272/aaf821
[2]	Luying NIU(牛璐莹), Hongrui CAO (曹宏睿), Kun XU(徐坤), Liqun HU(胡立群). Neutronic analysis of ITER radial x-ray camera[J]. Plasma Science and Technology, 2019, 21(2): 25601-025601. DOI: 10.1088/2058-6272/aaeba5
[3]	Adem ACIR, Esref BAYSAL. Monte Carlo calculations of the incineration of plutonium and minor actinides of laser fusion inertial confinement fusion fission energy (LIFE) engine[J]. Plasma Science and Technology, 2018, 20(7): 75601-075601. DOI: 10.1088/2058-6272/aab3c4
[4]	Arif ULLAH, Majid KHAN, M KAMRAN, R KHAN, Zhengmao SHENG (盛正卯). Monte-Carlo simulation of a stochastic differential equation[J]. Plasma Science and Technology, 2017, 19(12): 125001. DOI: 10.1088/2058-6272/aa8f3f
[5]	Weili FAN (范伟丽), Zhengming SHENG (盛政明), Fucheng LIU (刘富成). Particle-in-cell/Monte Carlo simulation of filamentary barrier discharges[J]. Plasma Science and Technology, 2017, 19(11): 115401. DOI: 10.1088/2058-6272/aa808c
[6]	DING Xuecheng (丁学成), ZHANG Zicai (张子才), LIANG Weihua (梁伟华), CHU Lizhi (褚立志), DENG Zechao (邓泽超), WANG Yinglong (王英龙). Monte Carlo Simulation of Laser-Ablated Particle Splitting Dynamic in a Low Pressure Inert Gas[J]. Plasma Science and Technology, 2016, 18(6): 641-646. DOI: 10.1088/1009-0630/18/6/10
[7]	XU Qian(徐倩), DING Rui(丁锐), YANG Zhongshi(杨钟时), NIU Guojian(牛国鉴), K. OHYA, LUO Guangnan(罗广南). PIC-EDDY Simulation of Different Impurities Deposition in Gaps of Carbon Tiles[J]. Plasma Science and Technology, 2014, 16(6): 562-566. DOI: 10.1088/1009-0630/16/6/04
[8]	XU Xiufeng (徐修峰), LI Shiping (李世平), CAO Hongrui (曹宏睿), XIAO Rui (肖锐), et al.. A Simulation Study on the Flash X-Ray Spectra Spatial Distribution[J]. Plasma Science and Technology, 2013, 15(11): 1165-1168. DOI: 10.1088/1009-0630/15/11/16
[9]	WU Yongpeng(吴永鹏), TANG Bin(汤彬). Monte-Carlo Simulation of Response Functions for Natural Gamma-rays in LaBr₃ Detector System with Complex Borehole Configurations[J]. Plasma Science and Technology, 2012, 14(6): 481-487. DOI: 10.1088/1009-0630/14/6/10
[10]	SONG Yushou (宋玉收), LIU Huilan (刘辉兰), XI Yinyin (席印印), YAN Qiang(颜强), HU Bitao(胡碧涛). The Background Simulation of a Fission Fragment Chamber in the Experiment of ²⁰⁹Bi(e, e’K⁺)²⁰⁹_ΛPb[J]. Plasma Science and Technology, 2012, 14(5): 415-418. DOI: 10.1088/1009-0630/14/5/18