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dc.contributor.author
Escandar, Graciela Monica
dc.contributor.author
Damiani, Patricia Cecilia
dc.contributor.author
Goicoechea, Hector Casimiro
dc.contributor.author
Olivieri, Alejandro Cesar
dc.date.available
2022-01-31T18:03:13Z
dc.date.issued
2006-01
dc.identifier.citation
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.issn
0026-265X
dc.identifier.uri
http://hdl.handle.net/11336/151001
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.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
BIOMEDICAL ANALYSIS
dc.subject
FIRST- AND HIGHER-ORDER DATA
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MULTIVARIATE CALIBRATION METHODS
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Química Analítica
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Ciencias Químicas
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CIENCIAS NATURALES Y EXACTAS
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
dc.date.updated
2021-06-07T16:15:22Z
dc.journal.volume
82
dc.journal.number
1
dc.journal.pagination
29-42
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Escandar, Graciela Monica. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
dc.description.fil
Fil: Damiani, Patricia Cecilia. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina
dc.description.fil
Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
dc.description.fil
Fil: Olivieri, Alejandro Cesar. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
dc.journal.title
Microchemical Journal
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0026265X05000846
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.microc.2005.07.001
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