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Sulfur Detection in Soil by Laser Induced Breakdown Spectroscopy Assisted by Multivariate Analysis

Laser-induced breakdown spectroscopy (LIBS) is used for the detection and determination of sulfur content in some organic soil samples. The most suitable sulfur spectral lines for such tasks were found to occur in the vacuum ultraviolet (VUV) spectral region and they were used for the construction o...

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Autores principales: Gazeli, Odhisea, Stefas, Dimitrios, Couris, Stelios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865602/
https://www.ncbi.nlm.nih.gov/pubmed/33498670
http://dx.doi.org/10.3390/ma14030541
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author Gazeli, Odhisea
Stefas, Dimitrios
Couris, Stelios
author_facet Gazeli, Odhisea
Stefas, Dimitrios
Couris, Stelios
author_sort Gazeli, Odhisea
collection PubMed
description Laser-induced breakdown spectroscopy (LIBS) is used for the detection and determination of sulfur content in some organic soil samples. The most suitable sulfur spectral lines for such tasks were found to occur in the vacuum ultraviolet (VUV) spectral region and they were used for the construction of calibration curves. For the analysis, both univariate and multivariate statistical models were employed. The results obtained by the different analysis techniques are evaluated and compared. The present study demonstrates both the applicability and efficiency of LIBS for fast sulfur detection in soil matrices when aided by multivariate analysis methods improving the accuracy and extending the potential use of LIBS in such applications.
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spelling pubmed-78656022021-02-07 Sulfur Detection in Soil by Laser Induced Breakdown Spectroscopy Assisted by Multivariate Analysis Gazeli, Odhisea Stefas, Dimitrios Couris, Stelios Materials (Basel) Article Laser-induced breakdown spectroscopy (LIBS) is used for the detection and determination of sulfur content in some organic soil samples. The most suitable sulfur spectral lines for such tasks were found to occur in the vacuum ultraviolet (VUV) spectral region and they were used for the construction of calibration curves. For the analysis, both univariate and multivariate statistical models were employed. The results obtained by the different analysis techniques are evaluated and compared. The present study demonstrates both the applicability and efficiency of LIBS for fast sulfur detection in soil matrices when aided by multivariate analysis methods improving the accuracy and extending the potential use of LIBS in such applications. MDPI 2021-01-23 /pmc/articles/PMC7865602/ /pubmed/33498670 http://dx.doi.org/10.3390/ma14030541 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gazeli, Odhisea
Stefas, Dimitrios
Couris, Stelios
Sulfur Detection in Soil by Laser Induced Breakdown Spectroscopy Assisted by Multivariate Analysis
title Sulfur Detection in Soil by Laser Induced Breakdown Spectroscopy Assisted by Multivariate Analysis
title_full Sulfur Detection in Soil by Laser Induced Breakdown Spectroscopy Assisted by Multivariate Analysis
title_fullStr Sulfur Detection in Soil by Laser Induced Breakdown Spectroscopy Assisted by Multivariate Analysis
title_full_unstemmed Sulfur Detection in Soil by Laser Induced Breakdown Spectroscopy Assisted by Multivariate Analysis
title_short Sulfur Detection in Soil by Laser Induced Breakdown Spectroscopy Assisted by Multivariate Analysis
title_sort sulfur detection in soil by laser induced breakdown spectroscopy assisted by multivariate analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865602/
https://www.ncbi.nlm.nih.gov/pubmed/33498670
http://dx.doi.org/10.3390/ma14030541
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AT courisstelios sulfurdetectioninsoilbylaserinducedbreakdownspectroscopyassistedbymultivariateanalysis