Details der Publikation - Analysis of automobile window glass samples by k0-NAA and PIXE techniques for forensic applications

Analysis of automobile window glass samples by k0-NAA and PIXE techniques for forensic applications

Abstract The k0-based neutron activation analysis (k0-NAA) and Particle-induced X-ray emission (PIXE) have been performed for 48 automobile window glass samples in forensic applications. A total of 29 elements determined by both k0-NAA and PIXE techniques in the glass are: Al, Ba, Ca, Ce, Cl, Co, Cs, Cu, Eu, Fe, Hf, K, La, Mg, Mn, Na, Ni, Rb, S, Sc, Si, Sm, Sr, Tb, Th, Ti, Yb, Zn and Zr. The car glass samples were grouped using Agglomerative Hierarchical Clustering method. Based on dataset of the samples analyzed along with statistical analysis using Principal Component Analysis method, the results of grouping by car brand indicated that the only k0-NAA dataset was well grouped by vehicle maker. Moreover, the Factor Analysis results also suggested that REEs contributed highly to the grouping with percentage variability of 20.88%, on the other hand, the macro elements had a high level of clustering according to the car model from different vehicle makers..

Medienart:	E-Artikel

Erscheinungsjahr:	2023
Erschienen:	2023

Enthalten in:	Zur Gesamtaufnahme - volume:332
Enthalten in:	Journal of radioanalytical and nuclear chemistry - 332(2023), 8 vom: 14. Juni, Seite 3493-3498

Sprache:	Englisch

Beteiligte Personen:	Tran, Quang-Thien [VerfasserIn] Ho, Manh-Dung [VerfasserIn] Nguyen, The-Nghia [VerfasserIn] Tran, Tuan-Anh [VerfasserIn] Ho, Van-Doanh [VerfasserIn] Truong, Truoung-Son [VerfasserIn] Lathdavong, Phonesavanh [VerfasserIn]

Links:	Volltext [lizenzpflichtig]

BKL:	35.00$jChemie: Allgemeines
Themen:	-based NAA Agglomerative hierarchical clustering PIXE Principal component analysis

Anmerkungen:	© Akadémiai Kiadó, Budapest, Hungary 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

doi:	10.1007/s10967-023-08994-2

funding:
Förderinstitution / Projekttitel:

PPN (Katalog-ID):	OLC2144814082

Internformat


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520			\|a Abstract The k0-based neutron activation analysis (k0-NAA) and Particle-induced X-ray emission (PIXE) have been performed for 48 automobile window glass samples in forensic applications. A total of 29 elements determined by both k0-NAA and PIXE techniques in the glass are: Al, Ba, Ca, Ce, Cl, Co, Cs, Cu, Eu, Fe, Hf, K, La, Mg, Mn, Na, Ni, Rb, S, Sc, Si, Sm, Sr, Tb, Th, Ti, Yb, Zn and Zr. The car glass samples were grouped using Agglomerative Hierarchical Clustering method. Based on dataset of the samples analyzed along with statistical analysis using Principal Component Analysis method, the results of grouping by car brand indicated that the only k0-NAA dataset was well grouped by vehicle maker. Moreover, the Factor Analysis results also suggested that REEs contributed highly to the grouping with percentage variability of 20.88%, on the other hand, the macro elements had a high level of clustering according to the car model from different vehicle makers.
650		4	\|a -based NAA
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650		4	\|a Agglomerative hierarchical clustering
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Analysis of automobile window glass samples by k0-NAA and PIXE techniques for forensic applications

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