dc.creator | Escandar, Graciela Monica | |
dc.creator | Damiani, Patricia Cecilia | |
dc.creator | Goicoechea, Hector Casimiro | |
dc.creator | Olivieri, Alejandro Cesar | |
dc.date.accessioned | 2022-01-31T18:03:13Z | |
dc.date.accessioned | 2022-10-15T00:17:29Z | |
dc.date.available | 2022-01-31T18:03:13Z | |
dc.date.available | 2022-10-15T00:17:29Z | |
dc.date.created | 2022-01-31T18:03:13Z | |
dc.date.issued | 2006-01 | |
dc.identifier | Escandar, 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.identifier | 0026-265X | |
dc.identifier | http://hdl.handle.net/11336/151001 | |
dc.identifier | CONICET Digital | |
dc.identifier | CONICET | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4323823 | |
dc.description.abstract | The 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.language | eng | |
dc.publisher | Elsevier Science | |
dc.relation | info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0026265X05000846 | |
dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.microc.2005.07.001 | |
dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject | BIOMEDICAL ANALYSIS | |
dc.subject | FIRST- AND HIGHER-ORDER DATA | |
dc.subject | MULTIVARIATE CALIBRATION METHODS | |
dc.title | A review of multivariate calibration methods applied to biomedical analysis | |
dc.type | info:eu-repo/semantics/article | |
dc.type | info:ar-repo/semantics/artículo | |
dc.type | info:eu-repo/semantics/publishedVersion | |