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Journal Article

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

Authors

Rethfeldt,  Nina
External Organizations;

Brinkmann,  Pia
External Organizations;

Riebe,  Daniel
External Organizations;

Beitz,  Toralf
External Organizations;

/persons/resource/nicolek

Koellner,  Nicole
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Altenberger,  Uwe
External Organizations;

Löhmannsröben,  Hans-Gerd
External Organizations;

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5008897.pdf
(Publisher version), 16MB

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Citation

Rethfeldt, N., Brinkmann, P., Riebe, D., Beitz, T., Koellner, N., Altenberger, U., Löhmannsröben, H.-G. (2021): Detection of Rare Earth Elements in Minerals and Soils by Laser-Induced Breakdown Spectroscopy (LIBS) Using Interval PLS. - Minerals, 11, 1379.
https://doi.org/10.3390/min11121379


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5008897
Abstract
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 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