dc.creatorEscandar, Graciela Monica
dc.creatorDamiani, Patricia Cecilia
dc.creatorGoicoechea, Hector Casimiro
dc.creatorOlivieri, Alejandro Cesar
dc.date.accessioned2022-01-31T18:03:13Z
dc.date.accessioned2022-10-15T00:17:29Z
dc.date.available2022-01-31T18:03:13Z
dc.date.available2022-10-15T00:17:29Z
dc.date.created2022-01-31T18:03:13Z
dc.date.issued2006-01
dc.identifierEscandar, Graciela Monica; Damiani, Patricia Cecilia; Goicoechea, Hector Casimiro; Olivieri, Alejandro Cesar; A review of multivariate calibration methods applied to biomedical analysis; Elsevier Science; Microchemical Journal; 82; 1; 1-2006; 29-42
dc.identifier0026-265X
dc.identifierhttp://hdl.handle.net/11336/151001
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4323823
dc.description.abstractThe determination of the contents of therapeutic drugs, metabolites and other important biomedical analytes in biological samples is usually performed by using high-performance liquid chromatography (HPLC). Modern multivariate calibration methods constitute an attractive alternative, even when they are applied to intrinsically unselective spectroscopic or electrochemical signals. First-order (i.e., vectorized) data are conveniently analyzed with classical chemometric tools such as partial least-squares (PLS). Certain analytical problems require more sophisticated models, such as artificial neural networks (ANNs), which are especially able to cope with non-linearities in the data structure. Finally, models based on the acquisition and processing of second- or higher-order data (i.e., matrices or higher dimensional data arrays) present the phenomenon known as "second-order advantage", which permits quantitation of calibrated analytes in the presence of interferents. The latter models show immense potentialities in the field of biomedical analysis. Pertinent literature examples are reviewed.
dc.languageeng
dc.publisherElsevier Science
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0026265X05000846
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.microc.2005.07.001
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectBIOMEDICAL ANALYSIS
dc.subjectFIRST- AND HIGHER-ORDER DATA
dc.subjectMULTIVARIATE CALIBRATION METHODS
dc.titleA review of multivariate calibration methods applied to biomedical analysis
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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