Laser-Induced Breakdown Spectroscopy for in-situ Qualitative and Quantitative Analysis of Mineral Ores
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F14%3APU110198" target="_blank" >RIV/00216305:26210/14:PU110198 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S058485471400202X" target="_blank" >http://www.sciencedirect.com/science/article/pii/S058485471400202X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.sab.2014.08.027" target="_blank" >10.1016/j.sab.2014.08.027</a>
Alternative languages
Result language
angličtina
Original language name
Laser-Induced Breakdown Spectroscopy for in-situ Qualitative and Quantitative Analysis of Mineral Ores
Original language description
In this work, the potential of Laser-Induced Breakdown Spectroscopy (LIBS) for discrimination and analysis of geological materials was examined. The research was focused on classification of mineral ores using their LIBS spectra prior to quantitative determination of copper. Quantitative analysis is not a trivial task in LIBS measurement because intensities of emission lines in laser-induced plasmas (LIP) are strongly affected by the mineral matrix (matrix effect). To circumvent this effect, typically matrix matched standards are used to obtain matrix dependent calibration curves. If the sample set consists of a mixture of different matrices, even in this approach, the corresponding matrix has to be known prior to the downstream data analysis. For this categorization, the multielemental character of LIBS spectra can be of help. In this contribution, a principal component analysis (PCA) was employed on the measured data set to discriminate individual rocks as individual matrices against each other according to their overall elemental composition. 27 igneous rock samples were analyzed in the form of fine dust, classified and subsequently quantitatively analyzed. Two different LIBS setups in two laboratories were used to prove the reproducibility of classification and quantification. A superposition of partial calibration plots constructed from the individual clustered data displayed a large improvement in precision and accuracy compared to the calibration plot constructed from all ore samples. The classification of mineral samples with complex matrices can thus be recommended prior to calibration analysis.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10305 - Fluids and plasma physics (including surface physics)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Spectrochimica Acta Part B
ISSN
0584-8547
e-ISSN
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Volume of the periodical
101
Issue of the periodical within the volume
11
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
155-163
UT code for WoS article
000344440300023
EID of the result in the Scopus database
2-s2.0-84907512772