J 2023

Detection and visualization of micron-scale U-Ca phosphates as a key to redox and acid-base conditions in ores: sandstone-hosted uranium deposit

MIKYSEK, Petr, Tomas TROJEK, Eliska MIKYSKOVA, Darina TROJKOVA, Jiří ADAMOVIČ et. al.

Základní údaje

Originální název

Detection and visualization of micron-scale U-Ca phosphates as a key to redox and acid-base conditions in ores: sandstone-hosted uranium deposit

Autoři

MIKYSEK, Petr, Tomas TROJEK, Eliska MIKYSKOVA, Darina TROJKOVA, Jiří ADAMOVIČ, Marek SLOBODNÍK (203 Česká republika, domácí) a Noemi MÉSZÁROSOVÁ

Vydání

Geochemistry, Elsevier GmbH, 2023, 0009-2819

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10505 Geology

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 3.700 v roce 2022

Kód RIV

RIV/00216224:14310/23:00133522

Organizační jednotka

Přírodovědecká fakulta

UT WoS

001146616800001

Klíčová slova anglicky

Uranium; Ningyoite; Matrix transformation; U-Zr mineralization; Sandstones; Elemental distribution

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 13. 2. 2024 10:53, Mgr. Marie Šípková, DiS.

Anotace

V originále

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 Brevniste 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.