2016
Multivariate approach to the chemical mapping of uranium in sandstone-hosted uranium ores analyzed using double pulse Laser-Induced Breakdown Spectroscopy
KLUS, Jakub, Petr MIKYSEK, David PROCHAZKA, Pavel POŘÍZKA, Petra PROCHAZKOVÁ et. al.Základní údaje
Originální název
Multivariate approach to the chemical mapping of uranium in sandstone-hosted uranium ores analyzed using double pulse Laser-Induced Breakdown Spectroscopy
Autoři
KLUS, Jakub (203 Česká republika), Petr MIKYSEK (203 Česká republika, domácí), David PROCHAZKA (203 Česká republika), Pavel POŘÍZKA (203 Česká republika), Petra PROCHAZKOVÁ (203 Česká republika, domácí), Jan NOVOTNÝ (203 Česká republika), Tomáš TROJEK (203 Česká republika), Karel NOVOTNÝ (203 Česká republika, domácí), Marek SLOBODNÍK (203 Česká republika, domácí) a Jozef KAISER (203 Česká republika, garant)
Vydání
Spectrochimica Acta B, Elsevier, 2016, 0584-8547
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10406 Analytical chemistry
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 3.241
Kód RIV
RIV/00216224:14310/16:00090622
Organizační jednotka
Přírodovědecká fakulta
UT WoS
000389497400016
Klíčová slova anglicky
LIBS; Uranium principal component analysis; Chemical mapping; Sandstone hosted deposit; X ray Fluorescence
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 13. 3. 2018 10:38, Mgr. Petr Mikysek, Ph.D.
Anotace
V originále
This work is focused on the high resolution mapping of uranium in sandstone-hosted uranium ores using Laser-Induced Breakdown Spectroscopy technique. In order to obtain chemical image with highest possible spatial resolution, LIBS system in orthogonal double pulse arrangement was employed. Owing to this experimental arrangement the spot size of 50 um in diameter resulting in lateral resolution of 100 um was reached. Despite the increase in signal intensity in DP LIBS modification, the detection of uranium is challenging. The main cause is the high density of uranium spectral lines, which together with broadening of LIBS spectral lines overreaches the resolution of commonly used spectrometers. It results in increased overall background radiation with only few distinguishable uranium lines. Three different approaches in the LIBS data treatment for the uranium detection were utilized: i) spectral line intensity, ii) region of apparent background and iii) multivariate data analysis. By utilizing multivariate statistical methods, a specific specimen features (in our case uranium content) were revealed by processing complete spectral information obtained from broadband echelle spectrograph. Our results are in a good agreement with conventional approaches such as line fitting and show new possibilities of processing spectral data in mapping. As a reference technique to LIBS was employed X-ray Fluorescence. The XRF chemical images used in this paper have lower resolution (approximately 1–2 mm per image point), nevertheless the elemental distribution is apparent and corresponds to presented LIBS experiments.
Návaznosti
LQ1601, projekt VaV |
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