Počet záznamů: 1  

Automated mineralogy for quantification and partitioning of metal(loid)s in particulates from mining/smelting-polluted soils

  1. 1.
    SYSNO ASEP0531157
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevAutomated mineralogy for quantification and partitioning of metal(loid)s in particulates from mining/smelting-polluted soils
    Tvůrce(i) Tuhý, M. (CZ)
    Hrstka, Tomáš (GLU-S) RID, SAI
    Ettler, V. (CZ)
    Číslo článku115118
    Zdroj.dok.Environmental Pollution. - : Elsevier - ISSN 0269-7491
    Roč. 266, č. 1 (2020)
    Poč.str.10 s.
    Forma vydáníTištěná - P
    Jazyk dok.eng - angličtina
    Země vyd.GB - Velká Británie
    Klíč. slovaAutomated mineralogy ; Polluted soil ; Heavy mineral fraction ; Metal(loid)s ; Mining and smelting
    Vědní obor RIVDB - Geologie a mineralogie
    Obor OECDMineralogy
    Způsob publikováníOpen access
    Institucionální podporaGLU-S - RVO:67985831
    UT WOS000571446400018
    EID SCOPUS85087313270
    DOI10.1016/j.envpol.2020.115118
    AnotaceTopsoils near active and abandoned mining and smelting sites are highly polluted by metal(loid) contaminants, which are often bound to particulates emitted from ore processing facilities and/or windblown from waste disposal sites. To quantitatively determine the contaminant partitioning in the soil particulates, we tested an automated mineralogy approach on the heavy mineral fraction extracted from the mining- and smelting-polluted topsoils exhibiting up to 1920 mg/kg As, 5840 mg/kg Cu, 4880 mg/kg Pb and 3310 mg/kg Zn. A new generation of automated scanning electron microscopy (autoSEM) was combined and optimized with conventional mineralogical techniques (XRD, SEM/EDS, EPMA). Parallel digestions and bulk chemical analyses were used as an independent control of the autoSEM-calculated concentrations of the key elements. This method provides faster data acquisition, the full integration of the quantitative EDS data and better detection limits for the elements of interest. We found that As was mainly bound to the apatite group minerals, slag glass and metal arsenates. Copper was predominantly hosted by the sulfides/sulfosalts and the Cu-bearing secondary carbonates. The deportment of Pb is relatively complex: slag glass, Fe and Mn (oxyhydr)oxides, metal arsenates/vanadates and cerussite were the most important carriers for Pb. Zinc is mainly bound to the slag glass, Fe (oxyhydr)oxides, smithsonite and sphalerite. Limitations exist for the less abundant contaminants, which cannot be fully quantified by autoSEM due to spectral overlaps with some major elements (e.g., Sb vs. Ca, Cd vs. K and Ca in the studied soils). AutoSEM was found to be a useful tool for the determination of the modal phase distribution and element partitioning in the metal(loid)-bearing soil particulates and will definitely find more applications in environmental soil sciences in the future.
    PracovištěGeologický ústav
    KontaktJana Popelková, popelkova@gli.cas.cz, Sabina Janíčková, Tel.: 233 087 272
    Rok sběru2021
    Elektronická adresahttps://www.sciencedirect.com/science/article/pii/S0269749120342287?via%3Dihub
Počet záznamů: 1  

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