Second- and higher-order data generation and calibration: A tutorial

Autores
Escandar, Graciela Monica; Goicoechea, Hector Casimiro; Muñoz de la Peña, A.; Olivieri, Alejandro Cesar
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
An introduction to multi-way calibration based on second- and higher-order data generation and processing is provided, with emphasis on practical experimental aspects. After a discussion concerning a proper nomenclature scheme, a suitable classification of the obtainable data, and the general features of the available algorithms and their underlying models, a series of examples is discussed in detail, with the purpose of illustrating the great potentiality of the field for the analytical community. Emphasis is directed toward the most popular multi-way data, i.e., second-order or matrix data, which can be conveniently measured in a variety of instruments. Third-order data are being increasingly studied and are also discussed, along with the less explored field of fourth-order data. The estimation of figures of merit, which analysts need to report during method development, is now sufficiently mature to be provided for the general audience.
Fil: Escandar, Graciela Monica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina
Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral; Argentina
Fil: Muñoz de la Peña, A.. Universidad de Extremadura; España
Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina
Materia
Química Analítica
Quimiometría
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/5983
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Second- and higher-order data generation and calibration: A tutorialEscandar, Graciela MonicaGoicoechea, Hector CasimiroMuñoz de la Peña, A.Olivieri, Alejandro CesarQuímica AnalíticaQuimiometríahttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1An introduction to multi-way calibration based on second- and higher-order data generation and processing is provided, with emphasis on practical experimental aspects. After a discussion concerning a proper nomenclature scheme, a suitable classification of the obtainable data, and the general features of the available algorithms and their underlying models, a series of examples is discussed in detail, with the purpose of illustrating the great potentiality of the field for the analytical community. Emphasis is directed toward the most popular multi-way data, i.e., second-order or matrix data, which can be conveniently measured in a variety of instruments. Third-order data are being increasingly studied and are also discussed, along with the less explored field of fourth-order data. The estimation of figures of merit, which analysts need to report during method development, is now sufficiently mature to be provided for the general audience.Fil: Escandar, Graciela Monica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; ArgentinaFil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral; ArgentinaFil: Muñoz de la Peña, A.. Universidad de Extremadura; EspañaFil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; ArgentinaElsevier2014-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/5983Escandar, Graciela Monica; Goicoechea, Hector Casimiro; Muñoz de la Peña, A.; Olivieri, Alejandro Cesar; Second- and higher-order data generation and calibration: A tutorial; Elsevier; Analytica Chimica Acta; 806; 1-2014; 8-260003-2670enginfo:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0003267013014281info:eu-repo/semantics/altIdentifier/doi/10.1016/j.aca.2013.11.009info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:41:41Zoai:ri.conicet.gov.ar:11336/5983instacron: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:34982025-10-15 14:41:41.545CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Second- and higher-order data generation and calibration: A tutorial
title Second- and higher-order data generation and calibration: A tutorial
spellingShingle Second- and higher-order data generation and calibration: A tutorial
Escandar, Graciela Monica
Química Analítica
Quimiometría
title_short Second- and higher-order data generation and calibration: A tutorial
title_full Second- and higher-order data generation and calibration: A tutorial
title_fullStr Second- and higher-order data generation and calibration: A tutorial
title_full_unstemmed Second- and higher-order data generation and calibration: A tutorial
title_sort Second- and higher-order data generation and calibration: A tutorial
dc.creator.none.fl_str_mv Escandar, Graciela Monica
Goicoechea, Hector Casimiro
Muñoz de la Peña, A.
Olivieri, Alejandro Cesar
author Escandar, Graciela Monica
author_facet Escandar, Graciela Monica
Goicoechea, Hector Casimiro
Muñoz de la Peña, A.
Olivieri, Alejandro Cesar
author_role author
author2 Goicoechea, Hector Casimiro
Muñoz de la Peña, A.
Olivieri, Alejandro Cesar
author2_role author
author
author
dc.subject.none.fl_str_mv Química Analítica
Quimiometría
topic Química Analítica
Quimiometría
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv An introduction to multi-way calibration based on second- and higher-order data generation and processing is provided, with emphasis on practical experimental aspects. After a discussion concerning a proper nomenclature scheme, a suitable classification of the obtainable data, and the general features of the available algorithms and their underlying models, a series of examples is discussed in detail, with the purpose of illustrating the great potentiality of the field for the analytical community. Emphasis is directed toward the most popular multi-way data, i.e., second-order or matrix data, which can be conveniently measured in a variety of instruments. Third-order data are being increasingly studied and are also discussed, along with the less explored field of fourth-order data. The estimation of figures of merit, which analysts need to report during method development, is now sufficiently mature to be provided for the general audience.
Fil: Escandar, Graciela Monica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina
Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral; Argentina
Fil: Muñoz de la Peña, A.. Universidad de Extremadura; España
Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina
description An introduction to multi-way calibration based on second- and higher-order data generation and processing is provided, with emphasis on practical experimental aspects. After a discussion concerning a proper nomenclature scheme, a suitable classification of the obtainable data, and the general features of the available algorithms and their underlying models, a series of examples is discussed in detail, with the purpose of illustrating the great potentiality of the field for the analytical community. Emphasis is directed toward the most popular multi-way data, i.e., second-order or matrix data, which can be conveniently measured in a variety of instruments. Third-order data are being increasingly studied and are also discussed, along with the less explored field of fourth-order data. The estimation of figures of merit, which analysts need to report during method development, is now sufficiently mature to be provided for the general audience.
publishDate 2014
dc.date.none.fl_str_mv 2014-01
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/11336/5983
Escandar, Graciela Monica; Goicoechea, Hector Casimiro; Muñoz de la Peña, A.; Olivieri, Alejandro Cesar; Second- and higher-order data generation and calibration: A tutorial; Elsevier; Analytica Chimica Acta; 806; 1-2014; 8-26
0003-2670
url http://hdl.handle.net/11336/5983
identifier_str_mv Escandar, Graciela Monica; Goicoechea, Hector Casimiro; Muñoz de la Peña, A.; Olivieri, Alejandro Cesar; Second- and higher-order data generation and calibration: A tutorial; Elsevier; Analytica Chimica Acta; 806; 1-2014; 8-26
0003-2670
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0003267013014281
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.aca.2013.11.009
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
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
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score 13.22299

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