Artículo
Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms
Fecha de publicación:
04/2011
Editorial:
Elsevier
Revista:
Trac-Trends In Analytical Chemistry
ISSN:
0165-9936
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
We discuss and evaluate the current state of second-order and higher-order multivariate calibration methods devoted to the determination of compounds in non-multilinear data systems. We examine possible causes of multilinearity deviations:
(1) a non-linear relationship between signal and analyte concentration;
(2) a signal for a given sample that is non-multilinear; and,
(3) component profiles that are not constant across the different samples.
We discuss the advantages and the limitations of the algorithms available to cope with these different situations.
The review covers relevant analytical problems found in samples of environmental and biological interest, highlighting some significant examples, and evaluating the advantages and the limitations of the different algorithms available.
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Articulos(IQUIR)
Articulos de INST.DE QUIMICA ROSARIO
Articulos de INST.DE QUIMICA ROSARIO
Citación
Olivieri, Alejandro Cesar; Escandar, Graciela Monica; Muñoz de la Peña, A.; Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms; Elsevier; Trac-Trends In Analytical Chemistry; 30; 4; 4-2011; 607-617
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