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Journal of Analytical Methods in ChemistryVolume 2012 2012, Article ID 659858, 12 pages

Research Article

NIDA Center for Research & Development of Disaster Prevention & Management, School of Social and Environmental Development, National Institute of Development Administration NIDA, 118 Moo 3, Sereethai Road, Klong-Chan, Bangkapi, Bangkok 10240, Thailand

Synchrotron Light Research Institute Public Organization, 111 University Avenue, P.O. Box 93, Nakhon Ratchasima 30000, Thailand

Inter-Department of Environmental Science, Faculty of Graduate Studies, Chulalongkorn University, Bangkok 10330, Thailand

Institute of Geosciences Sedimentology, Coastal and Continental Shelf Research, Otto-Hahn-Platz 1, 24118 Kiel, Germany

Lehrstuhl für Bodenkunde, Technische Universität München, Weihenstephan 85350 Freising, Germany

Bara Scientific Co., Ltd., 968 Rama 4 Silom Bangrak, Bangkok 10500, Thailand

Received 23 May 2012; Revised 9 August 2012; Accepted 19 September 2012

Academic Editor: Ki-Hyun Kim

Copyright © 2012 Siwatt Pongpiachan et al. 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.


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 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.

Autor: Siwatt Pongpiachan, Kanjana Thumanu, Charnwit Kositanont, Klaus Schwarzer, Jörg Prietzel, Phoosak Hirunyatrakul, and Itthip



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