Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva

The objective of this work was to accomplish the simultaneous determination of some chemical elements by Energy Dispersive X-ray Fluorescence (EDXRF) Spectroscopy through multivariate calibration in several sample types. The multivariate calibration models were: Back Propagation neural network, Leve...

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Main Authors: Schimidt Fernando, Bueno Maria Izabel M. S., Poppi Ronei J.
Format: Article
Language:English
Published: Sociedade Brasileira de Química 2002-01-01
Series:Química Nova
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422002000600012
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author Schimidt Fernando
Bueno Maria Izabel M. S.
Poppi Ronei J.
author_facet Schimidt Fernando
Bueno Maria Izabel M. S.
Poppi Ronei J.
author_sort Schimidt Fernando
collection DOAJ
description The objective of this work was to accomplish the simultaneous determination of some chemical elements by Energy Dispersive X-ray Fluorescence (EDXRF) Spectroscopy through multivariate calibration in several sample types. The multivariate calibration models were: Back Propagation neural network, Levemberg-Marquardt neural network and Radial Basis Function neural network, fuzzy modeling and Partial Least Squares Regression. The samples were soil standards, plant standards, and mixtures of lead and sulfur salts diluted in silica. The smallest Root Mean Square errors (RMS) were obtained with Back Propagation neural networks, which solved main EDXRF problems in a better way.
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spelling doaj.art-103d588ef71a43e2953953b7c92d5d5a2022-12-21T19:00:14ZengSociedade Brasileira de QuímicaQuímica Nova0100-40421678-70642002-01-01256a949956Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersivaSchimidt FernandoBueno Maria Izabel M. S.Poppi Ronei J.The objective of this work was to accomplish the simultaneous determination of some chemical elements by Energy Dispersive X-ray Fluorescence (EDXRF) Spectroscopy through multivariate calibration in several sample types. The multivariate calibration models were: Back Propagation neural network, Levemberg-Marquardt neural network and Radial Basis Function neural network, fuzzy modeling and Partial Least Squares Regression. The samples were soil standards, plant standards, and mixtures of lead and sulfur salts diluted in silica. The smallest Root Mean Square errors (RMS) were obtained with Back Propagation neural networks, which solved main EDXRF problems in a better way.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422002000600012chemometricsmultivariate calibrationX-ray fluorescence
spellingShingle Schimidt Fernando
Bueno Maria Izabel M. S.
Poppi Ronei J.
Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva
Química Nova
chemometrics
multivariate calibration
X-ray fluorescence
title Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva
title_full Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva
title_fullStr Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva
title_full_unstemmed Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva
title_short Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva
title_sort aplicacao de alguns modelos quimiometricos a espectroscopia de fluorescencia de raios x de energia dispersiva
topic chemometrics
multivariate calibration
X-ray fluorescence
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422002000600012
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