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

Química Nova

Fernando Schimidt¹  Maria Izabel M. S. Bueno¹  Ronei J. Poppi¹ 

[1] ,Universidade Estadual de Campinas Instituto de Química Campinas SP

关键词: chemometrics;    multivariate calibration;    X-ray fluorescence;   

DOI  :  10.1590/S0100-40422002000600012

来源: SciELO

【 摘 要 】

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.

【 授权许可】

CC BY-NC   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License