Detailed Information on Publication Record
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.Basic information
Original name
Application of self-organizing maps to the study of U-Zr-Ti-Nb distribution in sandstone-hosted uranium ores
Authors
KLUS, Jakub (203 Czech Republic), Pavel POŘÍZKA (203 Czech Republic, guarantor), David PROCHAZKA (203 Czech Republic), Petr MIKYSEK (203 Czech Republic, belonging to the institution), Jan NOVOTNÝ (203 Czech Republic), Karel NOVOTNÝ (203 Czech Republic), Marek SLOBODNÍK (203 Czech Republic, belonging to the institution) and Jozef KAISER (203 Czech Republic)
Edition
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, Oxford, PERGAMON-ELSEVIER SCIENCE LTD, 2017, 0584-8547
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10406 Analytical chemistry
Country of publisher
Netherlands
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 2.854
RIV identification code
RIV/00216224:14310/17:00096340
Organization unit
Faculty of Science
UT WoS
000401200700009
Keywords in English
Laser-Induced Breakdown Spectroscopy; Uranium ore; Elements distribution; Self-organizing maps
Tags
International impact, Reviewed
Změněno: 28/3/2018 16:09, Ing. Nicole Zrilić
Abstract
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.
Links
LQ1601, research and development project |
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