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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/127249
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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 Técnicas2025-09-29T10:15:42Zoai: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:34982025-09-29 10:15:42.793CONICET 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 |
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CONICET Digital (CONICET) |
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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 |
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score |
13.070432 |