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Type: Artigo de periódico
Title: X-ray scattering processes and chemometrics for differentiating complex samples using conventional EDXRF equipment
Author: Bueno, MIMS
Castro, MTPO
de Souza, AM
de Oliveira, EBS
Teixeira, AP
Abstract: Mild variations in organic matrices, which are investigated in this work, are caused by alterations in X-ray Raman scattering. The multivariate approaches, principal component analysis (PCA) and hierarchical cluster analysis (HCA), are applied to visualize these effects. Conventional energy-dispersive X-ray fluorescence equipment is used, where organic compounds produce intense scattering of the X-ray source. X-ray Raman processes, before obtained only for solid samples using synchrotron radiation, are indirectly visualized here through PCA scores and HCA cluster analysis, since they alter the Compton and Rayleigh scattering. As a result, their influences can be seen in known sample characteristics, as those associated with gender and melanin in dog hairs, and the differentiation in coconut varieties. Chemometrics has shown that, despite their complexity, natural samples can be easily classified. (c) 2005 Elsevier B.V. All rights reserved.
Subject: principal component analysis (PCA)
hierarchical cluster analysis (HCA)
natural sample differentiation
X-ray Raman scatter spectrometry (XRSS)
complex organic mixtures
Country: Holanda
Editor: Elsevier Science Bv
Rights: fechado
Identifier DOI: 10.1016/j.chemolab.2005.01.001
Date Issue: 2005
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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