info:eu-repo/semantics/article
Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms
Fecha
2011-04Registro en:
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
0165-9936
CONICET Digital
CONICET
Autor
Olivieri, Alejandro Cesar
Escandar, Graciela Monica
Muñoz de la Peña, A.
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.