2017
Application of self-organizing maps to the study of U-Zr-Ti-Nb distribution in sandstone-hosted uranium ores
KLUS, Jakub, Pavel POŘÍZKA, David PROCHAZKA, Petr MIKYSEK, Jan NOVOTNÝ et. al.Základní údaje
Originální název
Application of self-organizing maps to the study of U-Zr-Ti-Nb distribution in sandstone-hosted uranium ores
Autoři
KLUS, Jakub (203 Česká republika), Pavel POŘÍZKA (203 Česká republika, garant), David PROCHAZKA (203 Česká republika), Petr MIKYSEK (203 Česká republika, domácí), Jan NOVOTNÝ (203 Česká republika), Karel NOVOTNÝ (203 Česká republika), Marek SLOBODNÍK (203 Česká republika, domácí) a Jozef KAISER (203 Česká republika)
Vydání
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, Oxford, PERGAMON-ELSEVIER SCIENCE LTD, 2017, 0584-8547
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10406 Analytical chemistry
Stát vydavatele
Nizozemské království
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 2.854
Kód RIV
RIV/00216224:14310/17:00096340
Organizační jednotka
Přírodovědecká fakulta
UT WoS
000401200700009
Klíčová slova anglicky
Laser-Induced Breakdown Spectroscopy; Uranium ore; Elements distribution; Self-organizing maps
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 28. 3. 2018 16:09, Ing. Nicole Zrilić
Anotace
V originále
This paper presents a novel approach for processing the spectral information obtained from high-resolution elemental mapping performed by means of Laser-Induced Breakdown Spectroscopy. The proposed methodology is aimed at the description of possible elemental associations within a heterogeneous sample. High-resolution elemental mapping provides a large number of measurements. Moreover, typical laserinduced plasma spectrum consists of several thousands of spectral variables. Analysis of heterogeneous samples, where valuable information is hidden in a limited fraction of sample mass, requires special treatment. The sample under study is a sandstone-hosted uranium ore that shows irregular distribution of ore elements such as zirconium, titanium, uranium and niobium. Presented processing methodology shows the way to reduce the dimensionality of data and retain the spectral information by utilizing self-organizing maps (SOM). The spectral information from SOM is processed further to detect either simultaneous or isolated presence of elements. Conclusions suggested by SOM are in good agreement with geological studies of mineralization phases performed at the deposit. Even deeper investigation of the SOM results enables discrimination of interesting measurements and reveals new possibilities in the visualization of chemical mapping information. Suggested approach improves the description of elemental associations in mineral phases, which is crucial for the mining industry.
Návaznosti
LQ1601, projekt VaV |
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