A review on second- and third-order multivariate calibration applied to chromatographic data

Quantitative analytical works developed by processing second- and third-order chromatographic data are reviewed. The various modes in which data of complex structure can be measured are discussed, with chromatographic separation providing either one or two of the data dimensions. This produces secon...

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Detalles Bibliográficos
Autores: Arancibia, Juan Alberto, Damiani, Patricia Cecilia, Escandar, Graciela Monica, Ibañez, Gabriela Alejandra, Olivieri, Alejandro Cesar
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2012
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/95222
Acceso en línea:http://hdl.handle.net/11336/95222
Access Level:acceso abierto
Palabra clave:MULTIVARIATE CALIBRATION
SECOND- AND THIRD-ORDER CHROMATOGRAPHIC DATA
SECOND-ORDER ADVANTAGE
https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
Descripción
Sumario:Quantitative analytical works developed by processing second- and third-order chromatographic data are reviewed. The various modes in which data of complex structure can be measured are discussed, with chromatographic separation providing either one or two of the data dimensions. This produces second-order data (matrices from uni-dimensional chromatography with multivariate detection or from two-dimensional chromatography) or third-order data (three-dimensional data arrays from two-dimensional chromatography with multivariate detection). The available algorithms for processing these data are classified and discussed, regarding their ability to cope with the ubiquitous phenomenon of retention time shifts from run to run. A summary of relevant works applying this combination of techniques is presented, with focus on quantitative analytical results. Special attention is paid to works achieving the full potentiality of the multidimensional data, i.e., the second-order advantage.