Optimization of spodumene identification by statistical approach for laser-induced breakdown spectroscopy data of lithium pegmatite ores
نویسندگان
چکیده
Mapping with laser-induced breakdown spectroscopy (LIBS) can offer more than just the spatial distribution of elements: rich spectral information also enables mineral recognition. In present study, statistical approaches were used for recognition spodumene from lithium pegmatite ores. A broad range (280–820 nm) multiple lines was first to establish methods based on vertex component analysis (VCA) and K-means DBSCAN clusterings. However, a view potential on-site applications, dimensions datasets must be reduced in order accomplish fast analysis. Therefore, capability identification tested limited (560–815 using Li-pegmatites various mineralogical characters.
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Laser-induced breakdown spectroscopy (LIBS) is a powerful analytical technique that can be used for the detection and characterization of materials. In LIBS, a focused laser beam is used to generate a plasma plume on the surface of solid and liquid samples or inside the sample volume of gases, liquids, and aerosols. Each excited atom in the plasma emits a unique set of spectral lines, particula...
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ژورنال
عنوان ژورنال: Applied Spectroscopy Reviews
سال: 2021
ISSN: ['1520-569X', '0570-4928']
DOI: https://doi.org/10.1080/05704928.2021.1963977