Elemental analysis of ancient potteries of Vellore Dist, Tamil Nadu, India by ED-XRF technique with statistical approach

In the analysis of archaeological pottery, Energy Dispersive X-ray florescence analysis has been utilized to establish the elemental concentrations up to fourteen chemical elements for each of 14 archaeological pottery samples from Vellore Dist, Tamil Nadu, India. The EDXRF results have been process...

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Main Authors: A. Naseerutheen, A. Chandrasekaran, A. Rajalakshmi, R. Ravisankar
Format: Article
Language:English
Published: SpringerOpen 2014-03-01
Series:Beni-Suef University Journal of Basic and Applied Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2314853514000110
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spelling doaj-4a4b7288ca184df29aa7a1fe66eb35a62020-11-25T01:55:55ZengSpringerOpenBeni-Suef University Journal of Basic and Applied Sciences2314-85352014-03-0131455110.1016/j.bjbas.2014.02.006Elemental analysis of ancient potteries of Vellore Dist, Tamil Nadu, India by ED-XRF technique with statistical approachA. Naseerutheen0A. Chandrasekaran1A. Rajalakshmi2R. Ravisankar3Department of Physics, C. Abdul Hakeem College, Melvisharam 632509, Tamil Nadu, IndiaDepartment of Physics, Global Institute of Engineering and Technology, Vellore 632509, Tamil Nadu, IndiaDepartment of Physics, SSN College of Engineering, Kalavakkam, Chennai 603110, Tamil Nadu, IndiaPost Graduate and Research Department of Physics, Government Arts College, Tiruvannamalai 606 603, Tamil Nadu, IndiaIn the analysis of archaeological pottery, Energy Dispersive X-ray florescence analysis has been utilized to establish the elemental concentrations up to fourteen chemical elements for each of 14 archaeological pottery samples from Vellore Dist, Tamil Nadu, India. The EDXRF results have been processed using two multivariate statistical cluster and principal component analysis (PCA) methods in order to determine the similarities and correlation between the selected samples based on their elemental composition. The methodology successfully separates the samples where two distinct chemical groups were discerned.http://www.sciencedirect.com/science/article/pii/S2314853514000110Ancient potteryED-XRFElemental analysisMultivariate statistical analysis
collection DOAJ
language English
format Article
sources DOAJ
author A. Naseerutheen
A. Chandrasekaran
A. Rajalakshmi
R. Ravisankar
spellingShingle A. Naseerutheen
A. Chandrasekaran
A. Rajalakshmi
R. Ravisankar
Elemental analysis of ancient potteries of Vellore Dist, Tamil Nadu, India by ED-XRF technique with statistical approach
Beni-Suef University Journal of Basic and Applied Sciences
Ancient pottery
ED-XRF
Elemental analysis
Multivariate statistical analysis
author_facet A. Naseerutheen
A. Chandrasekaran
A. Rajalakshmi
R. Ravisankar
author_sort A. Naseerutheen
title Elemental analysis of ancient potteries of Vellore Dist, Tamil Nadu, India by ED-XRF technique with statistical approach
title_short Elemental analysis of ancient potteries of Vellore Dist, Tamil Nadu, India by ED-XRF technique with statistical approach
title_full Elemental analysis of ancient potteries of Vellore Dist, Tamil Nadu, India by ED-XRF technique with statistical approach
title_fullStr Elemental analysis of ancient potteries of Vellore Dist, Tamil Nadu, India by ED-XRF technique with statistical approach
title_full_unstemmed Elemental analysis of ancient potteries of Vellore Dist, Tamil Nadu, India by ED-XRF technique with statistical approach
title_sort elemental analysis of ancient potteries of vellore dist, tamil nadu, india by ed-xrf technique with statistical approach
publisher SpringerOpen
series Beni-Suef University Journal of Basic and Applied Sciences
issn 2314-8535
publishDate 2014-03-01
description In the analysis of archaeological pottery, Energy Dispersive X-ray florescence analysis has been utilized to establish the elemental concentrations up to fourteen chemical elements for each of 14 archaeological pottery samples from Vellore Dist, Tamil Nadu, India. The EDXRF results have been processed using two multivariate statistical cluster and principal component analysis (PCA) methods in order to determine the similarities and correlation between the selected samples based on their elemental composition. The methodology successfully separates the samples where two distinct chemical groups were discerned.
topic Ancient pottery
ED-XRF
Elemental analysis
Multivariate statistical analysis
url http://www.sciencedirect.com/science/article/pii/S2314853514000110
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