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Parameters Influencing Sulfur Speciation in Environmental Samples Using Sulfur K-Edge X-Ray Absorption Near-Edge Structure

This paper aims to enhance the credibility of applying the sulfur K-edge XANES spectroscopy as an innovative “fingerprint” for characterizing environmental samples. The sensitivities of sulfur K-edge XANES spectra of ten sulfur compound standards detected by two different detectors, namely, Lytle de...

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Autores principales: Pongpiachan, Siwatt, Thumanu, Kanjana, Kositanont, Charnwit, Schwarzer, Klaus, Prietzel, Jörg, Hirunyatrakul, Phoosak, Kittikoon, Itthipon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502029/
https://www.ncbi.nlm.nih.gov/pubmed/23193498
http://dx.doi.org/10.1155/2012/659858
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author Pongpiachan, Siwatt
Thumanu, Kanjana
Kositanont, Charnwit
Schwarzer, Klaus
Prietzel, Jörg
Hirunyatrakul, Phoosak
Kittikoon, Itthipon
author_facet Pongpiachan, Siwatt
Thumanu, Kanjana
Kositanont, Charnwit
Schwarzer, Klaus
Prietzel, Jörg
Hirunyatrakul, Phoosak
Kittikoon, Itthipon
author_sort Pongpiachan, Siwatt
collection PubMed
description This paper aims to enhance the credibility of applying the sulfur K-edge XANES spectroscopy as an innovative “fingerprint” for characterizing environmental samples. The sensitivities of sulfur K-edge XANES spectra of ten sulfur compound standards detected by two different detectors, namely, Lytle detector (LyD) and Germanium detector (GeD), were studied and compared. Further investigation on “self-absorption” effect revealed that the maximum sensitivities of sulfur K-edge XANES spectra were achieved when diluting sulfur compound standards with boron nitride (BN) at the mixing ratio of 0.1%. The “particle-size” effect on sulfur K-edge XANES spectrum sensitivities was examined by comparing signal-to-noise ratios of total suspended particles (TSP) and particulate matter of less than 10 millionths of a meter (PM(10)) collected at three major cities of Thailand. The analytical results have demonstrated that the signal-to-noise ratios of sulfur K-edge XANES spectra were positively correlated with sulfate content in aerosols and negatively connected with particle sizes. The combination of hierarchical cluster analysis (HCA) and principal component analysis (PCA) has proved that sulfur K-edge XANES spectrum can be used to characterize German terrestrial soils and Andaman coastal sediments. In addition, this study highlighted the capability of sulfur K-edge XANES spectra as an innovative “fingerprint” to distinguish tsunami backwash deposits (TBD) from typical marine sediments (TMS).
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spelling pubmed-35020292012-11-28 Parameters Influencing Sulfur Speciation in Environmental Samples Using Sulfur K-Edge X-Ray Absorption Near-Edge Structure Pongpiachan, Siwatt Thumanu, Kanjana Kositanont, Charnwit Schwarzer, Klaus Prietzel, Jörg Hirunyatrakul, Phoosak Kittikoon, Itthipon J Anal Methods Chem Research Article This paper aims to enhance the credibility of applying the sulfur K-edge XANES spectroscopy as an innovative “fingerprint” for characterizing environmental samples. The sensitivities of sulfur K-edge XANES spectra of ten sulfur compound standards detected by two different detectors, namely, Lytle detector (LyD) and Germanium detector (GeD), were studied and compared. Further investigation on “self-absorption” effect revealed that the maximum sensitivities of sulfur K-edge XANES spectra were achieved when diluting sulfur compound standards with boron nitride (BN) at the mixing ratio of 0.1%. The “particle-size” effect on sulfur K-edge XANES spectrum sensitivities was examined by comparing signal-to-noise ratios of total suspended particles (TSP) and particulate matter of less than 10 millionths of a meter (PM(10)) collected at three major cities of Thailand. The analytical results have demonstrated that the signal-to-noise ratios of sulfur K-edge XANES spectra were positively correlated with sulfate content in aerosols and negatively connected with particle sizes. The combination of hierarchical cluster analysis (HCA) and principal component analysis (PCA) has proved that sulfur K-edge XANES spectrum can be used to characterize German terrestrial soils and Andaman coastal sediments. In addition, this study highlighted the capability of sulfur K-edge XANES spectra as an innovative “fingerprint” to distinguish tsunami backwash deposits (TBD) from typical marine sediments (TMS). Hindawi Publishing Corporation 2012 2012-11-05 /pmc/articles/PMC3502029/ /pubmed/23193498 http://dx.doi.org/10.1155/2012/659858 Text en Copyright © 2012 Siwatt Pongpiachan et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Pongpiachan, Siwatt
Thumanu, Kanjana
Kositanont, Charnwit
Schwarzer, Klaus
Prietzel, Jörg
Hirunyatrakul, Phoosak
Kittikoon, Itthipon
Parameters Influencing Sulfur Speciation in Environmental Samples Using Sulfur K-Edge X-Ray Absorption Near-Edge Structure
title Parameters Influencing Sulfur Speciation in Environmental Samples Using Sulfur K-Edge X-Ray Absorption Near-Edge Structure
title_full Parameters Influencing Sulfur Speciation in Environmental Samples Using Sulfur K-Edge X-Ray Absorption Near-Edge Structure
title_fullStr Parameters Influencing Sulfur Speciation in Environmental Samples Using Sulfur K-Edge X-Ray Absorption Near-Edge Structure
title_full_unstemmed Parameters Influencing Sulfur Speciation in Environmental Samples Using Sulfur K-Edge X-Ray Absorption Near-Edge Structure
title_short Parameters Influencing Sulfur Speciation in Environmental Samples Using Sulfur K-Edge X-Ray Absorption Near-Edge Structure
title_sort parameters influencing sulfur speciation in environmental samples using sulfur k-edge x-ray absorption near-edge structure
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502029/
https://www.ncbi.nlm.nih.gov/pubmed/23193498
http://dx.doi.org/10.1155/2012/659858
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