On the signal contribution function with respect to different norms

Autores
Neymeyr, Klaus; Sawall, Mathias; Olivieri, Alejandro Cesar
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The signal contribution function (SCF) in multivariate curve resolution evaluates signal portions of specific components either in absolute or in relative form related to the integrated signal of all components. In 1999, Gemperline used the summed signal data, and in 2001, Tauler worked with the square-summed relative signal in order to determine the profiles that minimize, respectively maximize, the signal contribution. These profiles approximate the bands of all feasible profiles. Here, Gemperline's approach using the entrywise 1-matrix norm is proved to provide accurate bounds for two-component systems. This revives the approach of summed mass or absorption values with its potentially better chemical interpretability.
Fil: Neymeyr, Klaus. Universität Rostock; Alemania. Leibniz-Institut für Katalyse; Alemania
Fil: Sawall, Mathias. Universität Rostock; Alemania
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. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Departamento de Química Analítica; Argentina
Materia
AREA OF FEASIBLE SOLUTIONS
BORGEN PLOT
MCR-BANDS
MULTIVARIATE CURVE RESOLUTION
SIGNAL CONTRIBUTION FUNCTION
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:11336/150203
Acceder
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network_name_str CONICET Digital (CONICET)
spelling On the signal contribution function with respect to different normsNeymeyr, KlausSawall, MathiasOlivieri, Alejandro CesarAREA OF FEASIBLE SOLUTIONSBORGEN PLOTMCR-BANDSMULTIVARIATE CURVE RESOLUTIONSIGNAL CONTRIBUTION FUNCTIONhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1The signal contribution function (SCF) in multivariate curve resolution evaluates signal portions of specific components either in absolute or in relative form related to the integrated signal of all components. In 1999, Gemperline used the summed signal data, and in 2001, Tauler worked with the square-summed relative signal in order to determine the profiles that minimize, respectively maximize, the signal contribution. These profiles approximate the bands of all feasible profiles. Here, Gemperline's approach using the entrywise 1-matrix norm is proved to provide accurate bounds for two-component systems. This revives the approach of summed mass or absorption values with its potentially better chemical interpretability.Fil: Neymeyr, Klaus. Universität Rostock; Alemania. Leibniz-Institut für Katalyse; AlemaniaFil: Sawall, Mathias. Universität Rostock; AlemaniaFil: 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. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Departamento de Química Analítica; ArgentinaJohn Wiley & Sons Ltd2021-07-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/150203Neymeyr, Klaus; Sawall, Mathias; Olivieri, Alejandro Cesar; On the signal contribution function with respect to different norms; John Wiley & Sons Ltd; Journal of Chemometrics; 35; 7-8; 10-7-2021; 1-170886-9383CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/cem.3363info:eu-repo/semantics/altIdentifier/doi/10.1002/cem.3363info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:46:27Zoai:ri.conicet.gov.ar:11336/150203instacron: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 14:46:27.618CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv On the signal contribution function with respect to different norms
title On the signal contribution function with respect to different norms
spellingShingle On the signal contribution function with respect to different norms
Neymeyr, Klaus
AREA OF FEASIBLE SOLUTIONS
BORGEN PLOT
MCR-BANDS
MULTIVARIATE CURVE RESOLUTION
SIGNAL CONTRIBUTION FUNCTION
title_short On the signal contribution function with respect to different norms
title_full On the signal contribution function with respect to different norms
title_fullStr On the signal contribution function with respect to different norms
title_full_unstemmed On the signal contribution function with respect to different norms
title_sort On the signal contribution function with respect to different norms
dc.creator.none.fl_str_mv Neymeyr, Klaus
Sawall, Mathias
Olivieri, Alejandro Cesar
author Neymeyr, Klaus
author_facet Neymeyr, Klaus
Sawall, Mathias
Olivieri, Alejandro Cesar
author_role author
author2 Sawall, Mathias
Olivieri, Alejandro Cesar
author2_role author
author
dc.subject.none.fl_str_mv AREA OF FEASIBLE SOLUTIONS
BORGEN PLOT
MCR-BANDS
MULTIVARIATE CURVE RESOLUTION
SIGNAL CONTRIBUTION FUNCTION
topic AREA OF FEASIBLE SOLUTIONS
BORGEN PLOT
MCR-BANDS
MULTIVARIATE CURVE RESOLUTION
SIGNAL CONTRIBUTION FUNCTION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The signal contribution function (SCF) in multivariate curve resolution evaluates signal portions of specific components either in absolute or in relative form related to the integrated signal of all components. In 1999, Gemperline used the summed signal data, and in 2001, Tauler worked with the square-summed relative signal in order to determine the profiles that minimize, respectively maximize, the signal contribution. These profiles approximate the bands of all feasible profiles. Here, Gemperline's approach using the entrywise 1-matrix norm is proved to provide accurate bounds for two-component systems. This revives the approach of summed mass or absorption values with its potentially better chemical interpretability.
Fil: Neymeyr, Klaus. Universität Rostock; Alemania. Leibniz-Institut für Katalyse; Alemania
Fil: Sawall, Mathias. Universität Rostock; Alemania
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. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Departamento de Química Analítica; Argentina
description The signal contribution function (SCF) in multivariate curve resolution evaluates signal portions of specific components either in absolute or in relative form related to the integrated signal of all components. In 1999, Gemperline used the summed signal data, and in 2001, Tauler worked with the square-summed relative signal in order to determine the profiles that minimize, respectively maximize, the signal contribution. These profiles approximate the bands of all feasible profiles. Here, Gemperline's approach using the entrywise 1-matrix norm is proved to provide accurate bounds for two-component systems. This revives the approach of summed mass or absorption values with its potentially better chemical interpretability.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-10
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/11336/150203
Neymeyr, Klaus; Sawall, Mathias; Olivieri, Alejandro Cesar; On the signal contribution function with respect to different norms; John Wiley & Sons Ltd; Journal of Chemometrics; 35; 7-8; 10-7-2021; 1-17
0886-9383
CONICET Digital
CONICET
url http://hdl.handle.net/11336/150203
identifier_str_mv Neymeyr, Klaus; Sawall, Mathias; Olivieri, Alejandro Cesar; On the signal contribution function with respect to different norms; John Wiley & Sons Ltd; Journal of Chemometrics; 35; 7-8; 10-7-2021; 1-17
0886-9383
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/cem.3363
info:eu-repo/semantics/altIdentifier/doi/10.1002/cem.3363
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
dc.publisher.none.fl_str_mv John Wiley & Sons Ltd
publisher.none.fl_str_mv John Wiley & Sons Ltd
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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