Assessment of the most effective part of echelle laser-induced
plasma spectra for further classification using Czerny-Turner
spectrometer

J 2016

Assessment of the most effective part of echelle laser-induced plasma spectra for further classification using Czerny-Turner spectrometer

POŘÍZKA, Pavel; Jakub KLUS; David PROCHAZKA; Gabriela VÍTKOVÁ; Michal BRADA et al.

Základní údaje

Originální název

Assessment of the most effective part of echelle laser-induced plasma spectra for further classification using Czerny-Turner spectrometer

Autoři

POŘÍZKA, Pavel; Jakub KLUS; David PROCHAZKA; Gabriela VÍTKOVÁ; Michal BRADA; Jan NOVOTNÝ; Karel NOVOTNÝ a Jozef KAISER

Vydání

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, Oxford, PERGAMON-ELSEVIER SCIENCE LTD, 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

URL

Impakt faktor

Impact factor: 3.241

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14740/16:00093773

Organizační jednotka

Středoevropský technologický institut

Klíčová slova anglicky

Laser-Induced Breakdown Spectroscopy; Multivariate classification; Echelle spectrometer; Czerny-Turner spectrometer

Štítky

rivok

Změněno: 14. 3. 2017 14:22, Mgr. Eva Špillingová

Anotace

V originále

The objective of this work was to assess a part of echelle Laser-Induced Plasma spectra (ranging from 200 to 1000 nm) that could be most effectively employed for rocks classification. Therefore, a 60 nm wide spectral window mask was iteratively moved over the broadband echelle spectra. Each created narrow artificial spectral windows (60 nm) was used for the classification of rock samples using various Multivariate Data Analysis (MVDA) algorithms, reaching more than 99% of the overall accuracy in certain cases. Afterwards, the Czerny-Turner spectrometer (having higher sensitivity compared to the echelle spectrometer) was aligned to the a priori selected and the most effective spectral regions and rocks samples were re-measured. Consequently the MVDA analyses were utilized again, providing also satisfying classification results yielding more than 99% of the overall accuracy. Measurements of 28 sedimentary ores (certified reference materials) were done utilizing commercially available X-Trace device (AtomTrace), where spectrometers in both configurations (echelle and Czerny-Turner) were exploited.

Návaznosti

LQ1601, projekt VaV

Název: CEITEC 2020 (Akronym: CEITEC2020)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, CEITEC 2020

Citovat

POŘÍZKA, Pavel; Jakub KLUS; David PROCHAZKA; Gabriela VÍTKOVÁ; Michal BRADA; Jan NOVOTNÝ; Karel NOVOTNÝ a Jozef KAISER. Assessment of the most effective part of echelle laser-induced plasma spectra for further classification using Czerny-Turner spectrometer. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY. Oxford: PERGAMON-ELSEVIER SCIENCE LTD, 2016, roč. 124, October, s. 116-123. ISSN 0584-8547. Dostupné z: https://doi.org/10.1016/j.sab.2016.09.004.

@article{1374278,
   author = {Pořízka, Pavel and Klus, Jakub and Prochazka, David and Vítková, Gabriela and Brada, Michal and Novotný, Jan and Novotný, Karel and Kaiser, Jozef},
   article_location = {Oxford},
   article_number = {October},
   doi = {https://doi.org/10.1016/j.sab.2016.09.004},
   keywords = {Laser-Induced Breakdown Spectroscopy; Multivariate classification; Echelle spectrometer; Czerny-Turner spectrometer},
   language = {eng},
   issn = {0584-8547},
   journal = {SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY},
   title = {Assessment of the most effective part of echelle laser-induced plasma spectra for further classification using Czerny-Turner spectrometer},
   url = {http://www.sciencedirect.com/science/article/pii/S0584854716302014},
   volume = {124},
   year = {2016}
}

TY  - JOUR
ID  - 1374278
AU  - Pořízka, Pavel - Klus, Jakub - Prochazka, David - Vítková, Gabriela - Brada, Michal - Novotný, Jan - Novotný, Karel - Kaiser, Jozef
PY  - 2016
TI  - Assessment of the most effective part of echelle laser-induced plasma spectra for further classification using Czerny-Turner spectrometer
JF  - SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
VL  - 124
IS  - October
SP  - 116-123
EP  - 116-123
PB  - PERGAMON-ELSEVIER SCIENCE LTD
SN  - 05848547
KW  - Laser-Induced Breakdown Spectroscopy
KW  - Multivariate classification
KW  - Echelle spectrometer
KW  - Czerny-Turner spectrometer
UR  - http://www.sciencedirect.com/science/article/pii/S0584854716302014
L2  - http://www.sciencedirect.com/science/article/pii/S0584854716302014
N2  - The objective of this work was to assess a part of echelle Laser-Induced Plasma spectra (ranging from 200 to 1000 nm) that could be most effectively employed for rocks classification. Therefore, a 60 nm wide spectral window mask was iteratively moved over the broadband echelle spectra. Each created narrow artificial spectral windows (60 nm) was used for the classification of rock samples using various Multivariate Data Analysis (MVDA) algorithms, reaching more than 99% of the overall accuracy in certain cases. Afterwards, the Czerny-Turner spectrometer (having higher sensitivity compared to the echelle spectrometer) was aligned to the a priori selected and the most effective spectral regions and rocks samples were re-measured. Consequently the MVDA analyses were utilized again, providing also satisfying classification results yielding more than 99% of the overall accuracy. Measurements of 28 sedimentary ores (certified reference materials) were done utilizing commercially available X-Trace device (AtomTrace), where spectrometers in both configurations (echelle and Czerny-Turner) were exploited.
ER  -

POŘÍZKA, Pavel; Jakub KLUS; David PROCHAZKA; Gabriela VÍTKOVÁ; Michal BRADA; Jan NOVOTNÝ; Karel NOVOTNÝ a Jozef KAISER. Assessment of the most effective part of echelle laser-induced plasma spectra for further classification using Czerny-Turner spectrometer. \textit{SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY}. Oxford: PERGAMON-ELSEVIER SCIENCE LTD, 2016, roč.~124, October, s.~116-123. ISSN~0584-8547. Dostupné z: https://doi.org/10.1016/j.sab.2016.09.004.

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