Progress in the detection of iron ore by laser-induced breakdown spectroscopy
YANG Ya-wen1,2, YAN Cheng-lin1, XU Ding1, MIN Hong1, YANG Min-li2, LIU Shu*1
1. Technical Center for Industrial Product and Raw Material Inspection and Testing, Shanghai Customs, Shanghai200135, China; 2. College of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200214, China
Abstract:Laser-induced breakdown spectroscopy is a kind of atomic emission spectroscopy, which exhibits a couple of attractive features, such as real time ananlysis, in situ, mirco btrakdown, remote detection and simultaneous mutil-elements analysis. Thus it has attracted more and more attention in the field of iron ore detection. Due to laser energy flucations, matrix effects, and the mapping of the sample surface, it still has many issues in both qualitative and quantitative analysis of iron ore for LIBS. As a data processing method, chemometrics could filter noise, extract effective spectral information, and connect spectra and analysis results. As a result, it is a bridge to connect LIBS analysis and testing. In the past 10 years, the application of LIBS in iron ore detection has gradually gained attention. LIBS could be used to identify the acidity and alkalinity of iron ore, and could also be used to analyze the origin of iron ore. For the quantitative analysis of total iron, calcium, magnesium, silicon, aluminum, potassium, phosphorus and loss on ignition in iron ore, LIBS combined with multivariate regression has carried out a lot of exploratory work, but it is still immature in industrial application. Therefore, how to promote the application of LIBS in the field of iron ore detection is still a major challenge.
杨雅雯, 严承琳, 徐鼎, 闵红, 杨敏丽, 刘曙. 激光诱导击穿光谱检测铁矿石应用进展[J]. 冶金分析, 2020, 40(12): 14-20.
YANG Ya-wen, YAN Cheng-lin, XU Ding, MIN Hong, YANG Min-li, LIU Shu. Progress in the detection of iron ore by laser-induced breakdown spectroscopy. , 2020, 40(12): 14-20.
Hussain T,Gondal M A.Laser induced breakdown spectroscopy (LIBS) as a rapid tool for material analysis[J].Journal of Physics:Conference Series,2013,439:01250.
[2]
Radziemski L J.From LASER to LIBS,the path of technology development[J].Spectrochimica Acta Part B:Atomic Spectroscopy,2002,57(7):1109-1113.
[3]
Hahn D W,Omenetto N.Laser-induced breakdown spectroscopy (LIBS),part I:review of basic diagnostics and plasma-particle interactions:still-challenging issues within the analytical plasma community[J].Applied Spectroscopy,2010,64(12):335-366.
[4]
Hahn D W,Omenetto N.Laser-induced breakdown spectroscopy (LIBS),part II:review of instrumental and methodological approaches to material analysis and applications to different fields[J].Applied Spectroscopy,2012,66(4):347-419.
[5]
Fortes F J,Moros J,Lucena P,et al.Laser-induced breakdown spectroscopy[J].Analytical Chemistry,2013,85(2):640-669.
[6]
Anglos D.Laser-induced breakdown spectroscopy in art and archaeology[J].Applied Spectroscopy,2001,55(6):186-205.
[7]
Remus J J,Gottfried J L,Harmon R S,et al.Archaeological applications of laser-induced breakdown spectroscopy:an example from the Coso Volcanic Field,California, using advanced statistical signal processing analysis[J].Applied Optics,2010,49(13):C120-C131.
[8]
Baudelet M,Guyon L,Yu J,et al.Spectral signature of native CN bonds for bacterium detection and identification using femtosecond laser-induced breakdown spectroscopy[J].Applied Physics Letters,2006,88(6):063901.
[9]
De Lucia F C,Harmon R S,Mcnesby K L,et al.Laser-induced breakdown spectroscopy analysis of energetic materials[J].Applied Optics,2003,42(30):6148-6152.
[10]
Lopez-Moreno C,Palanco S,Javier Laserna J,et al.Test of a stand-off laser-induced breakdown spectroscopy sensor for the detection of explosive residues on solid surfaces[J].Journal of Analytical Atomic Spectrometry,2006,21(1):55-60.
[11]
瞿丞,贺稚非,李洪军.激光诱导击穿光谱技术在食品分析中的应用研究进展[J].食品与发酵工业,2019,45(2):260-268.ZHAI Cheng,HE Zhi-fei,LI Hong-jun.Progress in laser-induced breakdown spectroscopy and its applications in food analysis[J].Food and Fermentation Industries,2019,45(2):260-268.
[12]
Leroy S,Pirard E.Mineral recognition of single particles in ore slurry samples by means of multispectral image processing[J].Minerals Engineering,2019,132:228-237.
[13]
Maurics S,Wiens R C,Saccoccio M,et al.The ChemCam instrument suite on the Mars Science Laboratory (MSL) rover:science objectives and mast unit description[J].Space Science Reviews,2012,170(1-4):95-166.
[14]
Rivera-Hernandez F,Sumner D Y,Mangold N,et al.Using ChemCam LIBS data to constrain grain size in rocks on Mars:proof of concept and application to rocks at Yellowknife Bay and Pahrump Hills,Gale crater[J].Icarus,2019,321:82-98.
[15]
Wiens,Roger Maurice,Sylvestre Barraclough,et al.The ChemCam instrument suite on the Mars Science Laboratory (MSL) Rover:body unit and combined system tests[J].Space Science Reviews,2012,170:167-227.
[16]
Senesi,Giorgio S.Laser-induced breakdown spectroscopy (LIBS) applied to terrestrial and extraterrestrial analogue geomaterials with emphasis to minerals and rocks[J].Earth-Science Reviews,2014,139:231-267.
[17]
赵树宝.三氯化钛还原-高锰酸钾无汞滴定法测定铁矿石中全铁量[J].冶金分析,2010,30(1):77-80.ZHAO Shu-bao.Mercury-free titration of total iron in iron ore with potassium permanganate after titanium trichloride reduction[J].Metallurgical Analysis,2010,30(1):77-80.
[18]
李婷,任丽萍,闵红,等.燃烧炉-离子色谱联用法测定铁矿石中氯[J].冶金分析,2018,38(7):51-56.LI Ting,REN Li-ping,MIN Hong,et al.Determination of chlorine in iron ore by combustion furnace-ion chromatography[J].Metallurgical Analysis,2018,8(7):51-56.
[19]
程晓娟.石墨炉原子吸收光谱法测定铁矿石中痕量铅[J].冶金分析,2016,36(12):50-54.CHENG Xiao-juan.Determination of trace lead in iron ore by graphite furnace atomic absorption spectrometry[J].Metallurgical Analysis,2016,36(12):50-54.
[20]
邓赛文,王毅民,孙晓飞,等.X射线荧光光谱技术在铁矿石分析中的应用文献评介[J].冶金分析,2019,39(11):30-49.DENG Sai-wen,WANG Yi-min,SUN Xiao-fei,et al.Literature review on application of X-ray fluorescence spectrometry in analysis of iron ores[J].Metallurgical Analysis,2019,39(11):30-49.
[21]
D A Cremers L J R,J Wiley.Handbook of laser-induced breakdown spectroscopy[M].Hoboken:John Wiley & Sons,2006.
[22]
Yu J,Ma Q,Motto-Ros V,et al.Generation and expansion of laser-induced plasma as a spectroscopic emission source[J].Frontiers of Physics,2012,7(6):649-669.
[23]
Gary D Christian,Fredric J Feldman.A comparison study of detection limits using flame-emission spectroscopy with the nitrous oxide-acetylene flame and atomic-absorption spectroscopy[J].Applied Spectroscopy,1971,25(6):660-663.
[24]
Seubert A.On-line coupling of ion chromatography with ICP-AES and ICP-MS[J].TrAC Trends in Analytical Chemistry,2001,20(6):274-287.
[25]
Bings N H,Bogaerts A,Broekaert J A C.Atomic spectroscopy:a review[J].Analytical Chemistry,2010,82(12):4653-4681.
Ridolfi S.Portable X-ray fluorescence spectrometry for the analyses of cultural heritage[J].IOP Conference Series:Materials Science and Engineering,2012,37:012001.
[28]
Janssens K,Vittiglio G,Deraedt I,et al.Use of microscopic XRF for non-destructive analysis in art and archaeometry[J].X-ray Spectrometry,2000,29:73-91.
[29]
Winefordner J D,Gornushkin I B,Correll T,et al.Comparing several atomic spectrometric methods to the super stars:special emphasis on laser induced breakdown spectrometry,LIBS,a future super star[J].Journal of Analytical Atomic Spectrometry,2004,19(9):1061-1083.
[30]
杨崇瑞.激光诱导击穿光谱数据处理方法研究[D].北京:北京交通大学,2014.
[31]
Mottese A F,Fede M R,Caridi F,et al.Chemometrics and innovative multidimensional data analysis (MDA) based on multi-element screening to protect the Italian porcino (Boletus sect. Boletus) from fraud[J].Food Control,2020,110:107004.
[32]
Hastie T,Tibshirani R,Friedman J H,et al.The elements of statistical learning:data mining,inference,and prediction[J].The Mathematical Intelligencer,2005,27(2):83-85.
[33]
臧卓,林辉,杨敏华.ICA与PCA在高光谱数据降维分类中的对比研究[J].中南林业科技大学学报,2011,31(11):18-22.ZANG Zhuo,LIN Hui,YANG Min-hua.Comparative study on descending dimension classification of hyperspectral data between ICA algorithm and PCA algorithm[J].Journal of Central South University of Forestry & Technology,2011,31(11):18-22.
[34]
Geladi P,Kowalski B R.Partial least-squares regression:a tutorial[J].Analytica Chimica Acta,1986,185:11-17.
[35]
Almeida L M,Ludermir T B.A multi-objective memetic and hybrid methodology for optimizing the parameters and performance of artificial neural networks[J].Neurocomputing,2010,73(7-9):1438-1450.
[36]
Burges C J C.A tutorial on support vector machines for pattern recognition[J].Data Mining and Knowledge Discovery,1998,2(2):121-167.
[37]
Ho T K.The random subspace method for constructing decision forests[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1998,20(8):832-844.
[38]
Sheng L,Zhang T,Niu G,et al.Classification of iron ores by laser-induced breakdown spectroscopy (LIBS) combined with random forest (RF)[J].Journal of Analytical Atomic Spectrometry,2015,30(2):453-458.
[39]
Yan C,Wang Z,Ruan F,et al.Classification of iron ore based on acidity and alkalinity by laser induced breakdown spectroscopy coupled with N-nearest neighbours (N3)[J].Analytical Methods,2016,8(32):6216-6221.
[40]
Tang H,Zhang T,Yang X,et al.Classification of different types of slag samples by laser-induced breakdown spectroscopy (LIBS) coupled with random forest based on variable importance (VIRF)[J].Analytical Methods,2015,7(21):9171-9176.
[41]
Yang Y,Li C,Liu S,et al.Classification and identification of brands of iron ores using laser-induced breakdown spectroscopy combined with principal component analysis and artificial neural networks[J].Analytical Methods,2020,12:1316-1323.
[42]
Sheng L,Zhang T,Wang G K,et al.Quantitative analysis of Fe content in iron ore via external calibration in conjunction with internal standardization method coupled with LIBS[J].Chemical Research in Chinese Universities,2014,31(1):107-111.
[43]
Death D L,Cunningham A P,Pollard L J.Multi-element analysis of iron ore pellets by laser-induced breakdown spectroscopy and principal components regression[J].Spectrochimica Acta Part B:Atomic Spectroscopy,2008,63(7):763-769.
[44]
Yaroshchyk P,Darth D L,Spencer S J.Comparison of principal components regression,partial least squares regression,multi-block partial least squares regression,and serial partial least squares regression algorithms for the analysis of Fe in iron ore using LIBS[J].Journal of Analytical Atomic Spectrometry,2012,27(1):92-98.
[45]
Ding Y,Yan F,Yang G,et al.Quantitative analysis of sinters using laser-induced breakdown spectroscopy (LIBS) coupled with kernel-based extreme learning machine (K-ELM)[J].Analytical Methods,2018,10(9):1074-1079.
[46]
Kenneth J Grant, George L P,James A O′neili.Quantitative elemental analysis of iron ore by laser-induced breakdown spectroscopy[J].Society for Applied Spectroscopy,1991,45:701-705.
[47]
Sun Q,Tran M,Smith B W,et al.Determination of Mn and Si in iron ore by laser-induced plasma spectroscopy[J].Analytica Chimica Acta,2000(1):187-195.
[48]
Barrette L,Turmel S.On-line iron-ore slurry monitoring for real-time process control of pellet making processes using laser-induced breakdown spectroscopy:graphitic vs.total carbon detection[J].Spectrochimica Acta Part B:Atomic Spectroscopy,2001,56(6):715-723.
[49]
Guo Y M,Guo L B,Hao Z Q,et al.Accuracy improvement of iron ore analysis using laser-induced breakdown spectroscopy with a hybrid sparse partial least squares and least-squares support vector machine model[J].Journal of Analytical Atomic Spectrometry,2018,33(8):1330-1335.
[50]
Death D L,Cunningham A P,Pollard L J.Multi-element and mineralogical analysis of mineral ores using laser induced breakdown spectroscopy and chemometric analysis[J].Spectrochimica Acta Part B:Atomic Spectroscopy,2009,64(10):1048-1058.
[51]
Hao Z Q,Li C M,Shen M,et al.Acidity measurement of iron ore powders using laser-induced breakdown spectroscopy with partial least squares regression[J].Optics Express,2015,23(6):7795-7801.
[52]
Yang G,Han X,Wang C,et al.The basicity analysis of sintered ore using laser-induced breakdown spectroscopy (LIBS) combined with random forest regression (RFR)[J].Analytical Methods,2017,9(36):5365-5370.
[53]
Wang Z,Yan C,Dong J,et al.Acidity analysis of iron ore based on calibration-free laser-induced breakdown spectroscopy (CF-LIBS) combined with a binary search algorithm (BSA)[J].RSC Advances,2016,6(80):76813-76823.
[54]
Wang P,Li N,Yan C,et al.Rapid quantitative analysis of the acidity of iron ore by the laser-induced breakdown spectroscopy (LIBS) technique coupled with variable importance measures-random forests (VIM-RF)[J].Analytical Methods,2019,11(27):3419-3428.
[55]
Pavel Yaroshchyk, David L Death,Steven J Spencer.Quantitative measurements of loss on ignition in iron ore using laser-induced breakdown spectroscopy and partial least squares regression analysis[J].Applied Spectroscopy,2010,64:1335-1341.