0000000000925655

AUTHOR

Jussi Leveinen

showing 2 related works from this author

Enhanced quantification of wollastonite and calcite in limestone using fluorescence correction based on continuous wavelet transformation for Raman

2020

Raman spectroscopy offers a nondestructive means to identify minerals in rocks, but the ability to use the technology for quantitative mineralogical analysis is limited by fluorescence that can mask the spectral features of minerals. In this paper we apply continuous wavelet transformation (CWT) to remove fluoresence from Raman data acquired from 26 carbonate rock samples. We then record the intensity values of individual spectral features, proxies for mineral abundances, using the original Raman data and the thus inferred CWT data. The intensity values are then compared against the known mineral abundances determined using the scanning electron microscope (SEM) technology. This comparison …

Materials sciencespektroskopiaMineralogy02 engineering and technologyengineering.materialwavelets01 natural sciencesWollastonitewollastonitesymbols.namesakechemistry.chemical_compoundWaveletContinuous waveletmineraalitmineralogiaRamanInstrumentationSpectroscopyCalcite010401 analytical chemistryfluoresenssi021001 nanoscience & nanotechnologyFluorescence0104 chemical sciencesTransformation (function)chemistrysymbolsengineeringfluorescence0210 nano-technologyRaman spectroscopycalciteApplied Spectroscopy Reviews
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Enhanced quantification of wollastonite and calcite in limestone using fluorescence correction based on continuous wavelet transformation for Raman

2020

Raman spectroscopy offers a nondestructive means to identify minerals in rocks, but the ability to use the technology for quantitative mineralogical analysis is limited by fluorescence that can mask the spectral features of minerals. In this paper we apply continuous wavelet transformation (CWT) to remove fluoresence from Raman data acquired from 26 carbonate rock samples. We then record the intensity values of individual spectral features, proxies for mineral abundances, using the original Raman data and the thus inferred CWT data. The intensity values are then compared against the known mineral abundances determined using the scanning electron microscope (SEM) technology. This comparison …

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