Optimization of spodumene identification by statistical approach for laser-induced breakdown spectroscopy data of lithium pegmatite ores
Romppanen, S., Pölönen, I., Häkkänen, H., & Kaski, S. (2021). Optimization of spodumene identification by statistical approach for laser-induced breakdown spectroscopy data of lithium pegmatite ores. Applied Spectroscopy Reviews, Early online. https://doi.org/10.1080/05704928.2021.1963977
Published inApplied Spectroscopy Reviews
DisciplineTietotekniikkaSolu- ja molekyylibiologiaNanoscience CenterFysikaalinen kemiaMathematical Information TechnologyCell and Molecular BiologyNanoscience CenterPhysical Chemistry
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Mapping with laser-induced breakdown spectroscopy (LIBS) can offer more than just the spatial distribution of elements: the rich spectral information also enables mineral recognition. In the present study, statistical approaches were used for the recognition of the spodumene from lithium pegmatite ores. A broad spectral range (280–820 nm) with multiple lines was first used to establish the methods based on vertex component analysis (VCA) and K-means and DBSCAN clusterings. However, with a view to potential on-site applications, the dimensions of the datasets must be reduced in order to accomplish fast analysis. Therefore, the capability of the methods in mineral identification was tested with a limited spectral range (560–815 nm) using Li-pegmatites with various mineralogical characters.
PublisherTaylor & Francis
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Additional information about fundingThis study was financially supported by the K.H. Renlund’s Foundation (S.R.).
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