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Four- and five-way excitation-emission luminescence-based data acquisition and modeling for analytical applications. A review.
Alcaraz, Mirta R; Monago-Maraña, Olga; Goicoechea, Héctor C; Muñoz de la Peña, Arsenio.
Afiliación
  • Alcaraz MR; Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, Santa Fe, S3000ZAA, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy
  • Monago-Maraña O; Department of Analytical Chemistry, University of Extremadura, Badajoz, 06006, Spain; Research Institute on Water, Climate Change and Sustainability (IACYS), Badajoz, 06006, Spain.
  • Goicoechea HC; Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, Santa Fe, S3000ZAA, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy
  • Muñoz de la Peña A; Department of Analytical Chemistry, University of Extremadura, Badajoz, 06006, Spain; Research Institute on Water, Climate Change and Sustainability (IACYS), Badajoz, 06006, Spain. Electronic address: arsenio@unex.es.
Anal Chim Acta ; 1083: 41-57, 2019 Nov 20.
Article en En | MEDLINE | ID: mdl-31493809
The latest advances in both theory and experimental procedures on third-order/four-way and fourth-order/five-way calibration methods are discussed. This report is focused on excitation-emission (fluorescence and phosphorescence) matrices generation, employing different variables as the third data mode (time retention in chromatography, pH gradient, fluorescence/phosphorescence lifetime, kinetics, or other chemical treatments). Fully capitalizing on the second-order advantage, it has been possible to develop appealing analytical applications in spite of the complexity of the data. Extraction of the significant chemical information about the system under study as well as the individual abundance of the contributing constituents after proper higher-order data decomposition has allowed to analytical researchers performing quantitative analysis of complex samples. The experimental works reported up to the present are introduced and discussed in order to illustrate concepts. Throughout this work, the analytical benefits achieved by modeling third- and fourth-order data are exposed, attempting to contribute to the ongoing debate in the chemometric community regarding the existence and the true nature of the third-order advantage.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Anal Chim Acta Año: 2019 Tipo del documento: Article Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Anal Chim Acta Año: 2019 Tipo del documento: Article Pais de publicación: Países Bajos