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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F16%3A00093773" target="_blank" >RIV/00216224:14740/16:00093773 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26620/16:PU120351

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S0584854716302014" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0584854716302014</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.sab.2016.09.004" target="_blank" >10.1016/j.sab.2016.09.004</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

CB - Analytická chemie, separace

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY

ISSN

0584-8547

e-ISSN

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Svazek periodika

124

Číslo periodika v rámci svazku

October

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

8

Strana od-do

116-123

Kód UT WoS článku

000385604100015

EID výsledku v databázi Scopus

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