Detection of Rare Earth Elements in Minerals and Soils by Laser-Induced Breakdown Spectroscopy (LIBS) Using Interval PLS

  • The numerous applications of rare earth elements (REE) has lead to a growing global demand and to the search for new REE deposits. One promising technique for exploration of these deposits is laser-induced breakdown spectroscopy (LIBS). Among a number of advantages of the technique is the possibility to perform on-site measurements without sample preparation. Since the exploration of a deposit is based on the analysis of various geological compartments of the surrounding area, REE-bearing rock and soil samples were analyzed in this work. The field samples are from three European REE deposits in Sweden and Norway. The focus is on the REE cerium, lanthanum, neodymium and yttrium. Two different approaches of data analysis were used for the evaluation. The first approach is univariate regression (UVR). While this approach was successful for the analysis of synthetic REE samples, the quantitative analysis of field samples from different sites was influenced by matrix effects. Principal component analysis (PCA) can be used to determine theThe numerous applications of rare earth elements (REE) has lead to a growing global demand and to the search for new REE deposits. One promising technique for exploration of these deposits is laser-induced breakdown spectroscopy (LIBS). Among a number of advantages of the technique is the possibility to perform on-site measurements without sample preparation. Since the exploration of a deposit is based on the analysis of various geological compartments of the surrounding area, REE-bearing rock and soil samples were analyzed in this work. The field samples are from three European REE deposits in Sweden and Norway. The focus is on the REE cerium, lanthanum, neodymium and yttrium. Two different approaches of data analysis were used for the evaluation. The first approach is univariate regression (UVR). While this approach was successful for the analysis of synthetic REE samples, the quantitative analysis of field samples from different sites was influenced by matrix effects. Principal component analysis (PCA) can be used to determine the origin of the samples from the three deposits. The second approach is based on multivariate regression methods, in particular interval PLS (iPLS) regression. In comparison to UVR, this method is better suited for the determination of REE contents in heterogeneous field samples. View Full-Textshow moreshow less

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Author details:Nina Rethfeldt, Pia Brinkmann, Daniel RiebeORCiDGND, Toralf BeitzORCiD, Nicole KöllnerORCiD, Uwe AltenbergerORCiDGND, Hans-Gerd LöhmannsröbenORCiDGND
DOI:https://doi.org/10.3390/min11121379
ISSN:2075-163X
Title of parent work (English):Minerals
Publisher:MDPI
Place of publishing:Basel, Schweiz
Publication type:Article
Language:English
Date of first publication:2021/12/07
Publication year:2021
Release date:2022/07/22
Tag:LIBS; PCA; iPLS regression; minerals; rare earth elements
Volume:11
Article number:1379
Number of pages:17
First page:1
Last Page:17
Funding institution:State of Brandenburg (ILB) in the LIBSqORE project [80172489]; InfraFEI grant of the State of Brandenburg (ILB) in the FuSeSE project [85045759]; Federal Ministry of Education and Research (BMBF)Federal Ministry of Education & Research (BMBF); Deutsche ForschungsgemeinschaftGerman Research Foundation (DFG); University of Potsdam
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Chemie
DDC classification:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Peer review:Referiert
Grantor:Publikationsfonds der Universität Potsdam
Publishing method:Open Access / Gold Open-Access
License (German):License LogoCC BY - Namensnennung, 4.0 International
External remark:Zweitveröffentlichung in der Schriftenreihe Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe ; 1254
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