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, Karel NOVOTNÝ, Marek SLOBODNÍK and Jozef KAISER. Application of self-organizing maps to the study of U-Zr-Ti-Nb distribution in sandstone-hosted uranium ores. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY. Oxford: PERGAMON-ELSEVIER SCIENCE LTD, vol. 131, May, p. 66-73. ISSN 0584-8547. doi:10.1016/j.sab.2017.03.008. 2017.

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

• Original language: English
• Type of outcome: Article in a journal
• Field of Study: 10406 Analytical chemistry
• Country of publisher: Netherlands
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• Impact factor: Impact factor: 2.854
• RIV identification code: RIV/00216224:14310/17:00096340
• Organization unit: Faculty of Science
• Doi: http://dx.doi.org/10.1016/j.sab.2017.03.008
• UT WoS: 000401200700009
• Keywords in English: Laser-Induced Breakdown Spectroscopy; Uranium ore; Elements distribution; Self-organizing maps
• Tags: NZ, rivok
• Tags: International impact, Reviewed

Abstract

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: Name: CEITEC 2020 (Acronym: CEITEC2020)

Investor: Ministry of Education, Youth and Sports of the CR