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Detection and visualization of micron-scale U-Ca phosphates as a key to redox and acid-base conditions in ores: sandstone-hosted uranium deposit
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SYSNO ASEP 0574331 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Detection and visualization of micron-scale U-Ca phosphates as a key to redox and acid-base conditions in ores: sandstone-hosted uranium deposit Author(s) Mikysek, Petr (GLU-S) SAI, ORCID
Trojek, T. (CZ)
Mikysková, Eliška (UFCH-W)
Trojková, D. (CZ)
Adamovič, Jiří (GLU-S) RID, SAI, ORCID
Slobodník, M. (CZ)
Mészárosová, Noemi (GLU-S) ORCID, RID, SAIArticle number 126006 Source Title Chemie der Erde-Geochemistry. - : Elsevier - ISSN 0009-2819
Roč. 83, č. 4 (2023)Number of pages 17 s. Publication form Print - P Language eng - English Country DE - Germany Keywords Uranium ; Ningyoite ; Matrix transformation ; U-Zr mineralization ; Sandstones ; Elemental distribution OECD category Mineralogy Method of publishing Limited access Institutional support GLU-S - RVO:67985831 ; UFCH-W - RVO:61388955 UT WOS 001146616800001 EID SCOPUS 85166975096 DOI 10.1016/j.chemer.2023.126006 Annotation The presence and nature of uranium minerals subject to high leachability is one of the most significant factors in the exploitation of low-grade ores. The detection of these minerals is a challenging task due to their small size and low abundance. This paper presents a novel method of data processing that allows distinguishing and visualization of micron-scale U minerals. For this purpose, core samples of U-bearing sandstones from the Břevniště deposit (Czech Republic) were used. After their study by inductively coupled plasma spectroscopy, optical and scanning electron microscopy (SEM-EDS) and X-ray diffraction analysis, the presence of authigenic grains of U minerals occurring in various associations and their chemical compositions were confirmed by an electron microprobe. However, the use of these conventional instruments for the analysis of heterogeneous ore material with valuable information hidden, showed the necessity for a special data treatment. Matrix transformation of raw SEM-EDS data allowed for even more accurate visualizations such as contour and point maps of elemental distribution. Then, mathematical and visual correlations of transformed data revealed relationships among some measured elements (Ca, P, U, Zr, Nb, Fe, S) and their spectral overlaps. Conditions of ore formation were predicted based on the visualizations, correlations and the paragenesis of ningyoite in uranium ore. Herein suggested approach can help to identify economically significant minerals in complex mineralizations worldwide and increase the mining potential of the deposits. Workplace Institute of Geology Contact Jana Popelková, popelkova@gli.cas.cz, Sabina Janíčková, Tel.: 233 087 272 Year of Publishing 2024 Electronic address https://www.sciencedirect.com/science/article/pii/S0009281923000570
Number of the records: 1