Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms

Autores
Olivieri, Alejandro Cesar; Escandar, Graciela Monica; Muñoz de la Peña, A.
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We discuss and evaluate the current state of second-order and higher-order multivariate calibration methods devoted to the determination of compounds in non-multilinear data systems. We examine possible causes of multilinearity deviations: (1) a non-linear relationship between signal and analyte concentration; (2) a signal for a given sample that is non-multilinear; and, (3) component profiles that are not constant across the different samples. We discuss the advantages and the limitations of the algorithms available to cope with these different situations. The review covers relevant analytical problems found in samples of environmental and biological interest, highlighting some significant examples, and evaluating the advantages and the limitations of the different algorithms available.
Fil: Olivieri, Alejandro Cesar. 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
Fil: Escandar, Graciela Monica. 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
Fil: Muñoz de la Peña, A.. Universidad de Extremadura; España
Materia
ALGORITHM
ANALYTE
BIOLOGICAL SAMPLE
COMPONENT PROFILE
CONCENTRATION
DETERMINATION
ENVIRONMENTAL SAMPLE
MULTILINEARITY DEVIATION
MULTIVARIATE CALIBRATION METHOD
NON-MULTILINEAR DATA
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/127249
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/127249
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithmsOlivieri, Alejandro CesarEscandar, Graciela MonicaMuñoz de la Peña, A.ALGORITHMANALYTEBIOLOGICAL SAMPLECOMPONENT PROFILECONCENTRATIONDETERMINATIONENVIRONMENTAL SAMPLEMULTILINEARITY DEVIATIONMULTIVARIATE CALIBRATION METHODNON-MULTILINEAR DATAhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1We discuss and evaluate the current state of second-order and higher-order multivariate calibration methods devoted to the determination of compounds in non-multilinear data systems. We examine possible causes of multilinearity deviations: (1) a non-linear relationship between signal and analyte concentration; (2) a signal for a given sample that is non-multilinear; and, (3) component profiles that are not constant across the different samples. We discuss the advantages and the limitations of the algorithms available to cope with these different situations. The review covers relevant analytical problems found in samples of environmental and biological interest, highlighting some significant examples, and evaluating the advantages and the limitations of the different algorithms available.Fil: Olivieri, Alejandro Cesar. 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; ArgentinaFil: Escandar, Graciela Monica. 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; ArgentinaFil: Muñoz de la Peña, A.. Universidad de Extremadura; EspañaElsevier2011-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/127249Olivieri, Alejandro Cesar; Escandar, Graciela Monica; Muñoz de la Peña, A.; Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms; Elsevier; Trac-Trends In Analytical Chemistry; 30; 4; 4-2011; 607-6170165-9936CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.trac.2010.11.018info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0165993611000367info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:45:52Zoai:ri.conicet.gov.ar:11336/127249instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:45:52.969CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms
title Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms
spellingShingle Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms
Olivieri, Alejandro Cesar
ALGORITHM
ANALYTE
BIOLOGICAL SAMPLE
COMPONENT PROFILE
CONCENTRATION
DETERMINATION
ENVIRONMENTAL SAMPLE
MULTILINEARITY DEVIATION
MULTIVARIATE CALIBRATION METHOD
NON-MULTILINEAR DATA
title_short Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms
title_full Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms
title_fullStr Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms
title_full_unstemmed Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms
title_sort Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms
dc.creator.none.fl_str_mv Olivieri, Alejandro Cesar
Escandar, Graciela Monica
Muñoz de la Peña, A.
author Olivieri, Alejandro Cesar
author_facet Olivieri, Alejandro Cesar
Escandar, Graciela Monica
Muñoz de la Peña, A.
author_role author
author2 Escandar, Graciela Monica
Muñoz de la Peña, A.
author2_role author
author
dc.subject.none.fl_str_mv ALGORITHM
ANALYTE
BIOLOGICAL SAMPLE
COMPONENT PROFILE
CONCENTRATION
DETERMINATION
ENVIRONMENTAL SAMPLE
MULTILINEARITY DEVIATION
MULTIVARIATE CALIBRATION METHOD
NON-MULTILINEAR DATA
topic ALGORITHM
ANALYTE
BIOLOGICAL SAMPLE
COMPONENT PROFILE
CONCENTRATION
DETERMINATION
ENVIRONMENTAL SAMPLE
MULTILINEARITY DEVIATION
MULTIVARIATE CALIBRATION METHOD
NON-MULTILINEAR DATA
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We discuss and evaluate the current state of second-order and higher-order multivariate calibration methods devoted to the determination of compounds in non-multilinear data systems. We examine possible causes of multilinearity deviations: (1) a non-linear relationship between signal and analyte concentration; (2) a signal for a given sample that is non-multilinear; and, (3) component profiles that are not constant across the different samples. We discuss the advantages and the limitations of the algorithms available to cope with these different situations. The review covers relevant analytical problems found in samples of environmental and biological interest, highlighting some significant examples, and evaluating the advantages and the limitations of the different algorithms available.
Fil: Olivieri, Alejandro Cesar. 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
Fil: Escandar, Graciela Monica. 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
Fil: Muñoz de la Peña, A.. Universidad de Extremadura; España
description We discuss and evaluate the current state of second-order and higher-order multivariate calibration methods devoted to the determination of compounds in non-multilinear data systems. We examine possible causes of multilinearity deviations: (1) a non-linear relationship between signal and analyte concentration; (2) a signal for a given sample that is non-multilinear; and, (3) component profiles that are not constant across the different samples. We discuss the advantages and the limitations of the algorithms available to cope with these different situations. The review covers relevant analytical problems found in samples of environmental and biological interest, highlighting some significant examples, and evaluating the advantages and the limitations of the different algorithms available.
publishDate 2011
dc.date.none.fl_str_mv 2011-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/127249
Olivieri, Alejandro Cesar; Escandar, Graciela Monica; Muñoz de la Peña, A.; Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms; Elsevier; Trac-Trends In Analytical Chemistry; 30; 4; 4-2011; 607-617
0165-9936
CONICET Digital
CONICET
url http://hdl.handle.net/11336/127249
identifier_str_mv Olivieri, Alejandro Cesar; Escandar, Graciela Monica; Muñoz de la Peña, A.; Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms; Elsevier; Trac-Trends In Analytical Chemistry; 30; 4; 4-2011; 607-617
0165-9936
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.trac.2010.11.018
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0165993611000367
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846782157959200768
score 12.982451

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