ANN-LIBS analysis of mixture plasmas: detection of xenon

Homa Saeidfirozeh; Ashwin Kumar Myakalwar; Petr Kubelík; Amirhossein Ghaderi; Vojtěch Laitl; Lukáš Petera; Paul B. Rimmer; Oliver Shorttle; Alan N. Heays; Anna Křivková; Miroslav Krůs; Svatopluk Civiš; Jorge Yáñez; Erik Képeš; Pavel Pořízka; Martin Ferus

doi:10.1039/D2JA00132B

ANN-LIBS analysis of mixture plasmas: detection of xenon†

Homa Saeidfirozeh,

‡*^a Ashwin Kumar Myakalwar,

‡^b Petr Kubelík,‡^ac Amirhossein Ghaderi,

‡^d Vojtěch Laitl,

^ae Lukáš Petera,^a Paul B. Rimmer,^f Oliver Shorttle,^gh Alan N. Heays,^a Anna Křivková,^ai Miroslav Krůs,^j Svatopluk Civiš,^a Jorge Yáñez,

*^b Erik Képeš,

^kl Pavel Pořízka^kl and Martin Ferus

^a

Author affiliations

* Corresponding authors

^a J. Heyrovský Institute of Physical Chemistry, Czech Academy of Sciences, Dolejškova 3, CZ 182 23 Prague 8, Czech Republic
E-mail: homa.saeidfirouzeh@jh-inst.cas.cz

^b Laboratorio de Trazas Elementales y Especiación, Departamento de Química Analítica e Inorgánica, Facultad de Ciencias Químicas, Universidad de Concepción, Concepción, Chile
E-mail: jyanez@udec.cl

^c Department of Radiation and Chemical Physics, Institute of Physics, Academy of Sciences of the Czech Republic, Na Slovance 1999/2, CZ182 21 Prague 8, Czech Republic

^d Centre for Vision Research, York University, 4700 Keele St, Toronto, ON M3J 1P3, Canada

^e University of Chemistry and Technology Prague, Faculty of Chemical Engineering, Technická 5, CZ166 28 Prague 6 Dejvice, Czech Republic

^f Cavendish Astrophysics, University of Cambridge, JJ Thomson Ave, Cambridge, CB3 OHE, UK

^g Institute of Astronomy, University of Cambridge, CB3 0HA, UK

^h Department of Earth Sciences, University of Cambridge, UK

ⁱ Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering, Brehová 78/7, 115 19 Prague 1, Czech Republic

^j Institute of Plasma Physics, Czech Academy of Sciences, Za Slovankou 1782/3, 182 00 Prague 8, Czech Republic

^k Central European Institute of Technology, Brno University of Technology, Purkyňova 656/123, Brno, Czech Republic

^l Brno University of Technology, Faculty of Mechanical Engineering, Institute of Physical Engineering, Technická 2, Brno, Czech Republic

Abstract

We developed an artificial neural network method for characterising crucial physical plasma parameters (i.e., temperature, electron density, and abundance ratios of ionisation states) in a fast and precise manner that mitigates common issues arising in evaluation of laser-induced breakdown spectra. The neural network was trained on a set of laser-induced breakdown spectra of xenon, a particularly physically and geochemically intriguing noble gas. The artificial neural network results were subsequently compared to a standard local thermodynamic equilibrium model. Speciation analysis of Xe was performed in a model atmosphere, mimicking gaseous systems relevant for tracing noble gases in geochemistry. The results demonstrate a comprehensive method for geochemical analyses, particularly a new concept of Xe detection in geochemical systems with an order-of-magnitude speed enhancement and requiring minimal input information. The method can be used for determination of Xe plasma physical parameters in industrial as well as scientific applications.

This article is part of the themed collections: ENQA - 20th Brazilian Meeting on Analytical Chemistry and JAAS HOT Articles 2022

Journal of Analytical Atomic Spectrometry

ANN-LIBS analysis of mixture plasmas: detection of xenon†

Abstract

Supplementary files

Article information

Download Citation

Permissions

ANN-LIBS analysis of mixture plasmas: detection of xenon

Social activity

Search articles by author

Spotlight

Advertisements