Third order chromatographic-excitation–emission fluorescence data: Advances, challenges and prospects in analytical applications
- Autores
- Montemurro, Milagros; Siano, Gabriel German; Alcaraz, Mirta Raquel; Goicoechea, Hector Casimiro
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Three analytical methodologies for the generation of third-order liquid chromatography–excitation–emission fluorescence matrix (LC–EEM) data are presented. Instrumental requirements were evaluated considering equipment complexity, costs and accessibility. A descriptive analysis of the generated data was done along trilinearity concept and chemometric resolution. For trilinear decomposition, PARallel FACtor Analysis (PARAFAC) model was utilized. Hence, possible effects that are caused in the resolution due to loss of trilinearity are detailed. Then, several data pre-processing and processing alternatives are proposed in order to successfully overcome the drawbacks that can be present in the chemometric resolution. Additionally, a reported analytical method for the determination of three analytes is presented to showcase the potential of the methodology to generate third-order LC–EEM data with quantitative aims. For data modelling, Augmented PARAFAC (APARAFAC) and Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) were used. Both algorithms demonstrated to be able to bear non-quadrilinear data in a multi-set analysis.
Fil: Montemurro, Milagros. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
Fil: Siano, Gabriel German. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina
Fil: Alcaraz, Mirta Raquel. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
Fil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina - Materia
-
Excitation–Emission Fluorescence Matrix
Liquid Chromatography
Multi-Way Analysis
Third-Order Data
Trilinear Decomposition - 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:11336/33646
Ver los metadatos del registro completo
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Third order chromatographic-excitation–emission fluorescence data: Advances, challenges and prospects in analytical applicationsMontemurro, MilagrosSiano, Gabriel GermanAlcaraz, Mirta RaquelGoicoechea, Hector CasimiroExcitation–Emission Fluorescence MatrixLiquid ChromatographyMulti-Way AnalysisThird-Order DataTrilinear Decompositionhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Three analytical methodologies for the generation of third-order liquid chromatography–excitation–emission fluorescence matrix (LC–EEM) data are presented. Instrumental requirements were evaluated considering equipment complexity, costs and accessibility. A descriptive analysis of the generated data was done along trilinearity concept and chemometric resolution. For trilinear decomposition, PARallel FACtor Analysis (PARAFAC) model was utilized. Hence, possible effects that are caused in the resolution due to loss of trilinearity are detailed. Then, several data pre-processing and processing alternatives are proposed in order to successfully overcome the drawbacks that can be present in the chemometric resolution. Additionally, a reported analytical method for the determination of three analytes is presented to showcase the potential of the methodology to generate third-order LC–EEM data with quantitative aims. For data modelling, Augmented PARAFAC (APARAFAC) and Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) were used. Both algorithms demonstrated to be able to bear non-quadrilinear data in a multi-set analysis.Fil: Montemurro, Milagros. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; ArgentinaFil: Siano, Gabriel German. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; ArgentinaFil: Alcaraz, Mirta Raquel. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; ArgentinaFil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; ArgentinaElsevier2017-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/33646Siano, Gabriel German; Montemurro, Milagros; Goicoechea, Hector Casimiro; Alcaraz, Mirta Raquel; Third order chromatographic-excitation–emission fluorescence data: Advances, challenges and prospects in analytical applications; Elsevier; Trac-Trends In Analytical Chemistry; 93; 8-2017; 119-1330165-9936CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.trac.2017.05.011info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:33:44Zoai:ri.conicet.gov.ar:11336/33646instacron: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 09:33:44.299CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Third order chromatographic-excitation–emission fluorescence data: Advances, challenges and prospects in analytical applications |
title |
Third order chromatographic-excitation–emission fluorescence data: Advances, challenges and prospects in analytical applications |
spellingShingle |
Third order chromatographic-excitation–emission fluorescence data: Advances, challenges and prospects in analytical applications Montemurro, Milagros Excitation–Emission Fluorescence Matrix Liquid Chromatography Multi-Way Analysis Third-Order Data Trilinear Decomposition |
title_short |
Third order chromatographic-excitation–emission fluorescence data: Advances, challenges and prospects in analytical applications |
title_full |
Third order chromatographic-excitation–emission fluorescence data: Advances, challenges and prospects in analytical applications |
title_fullStr |
Third order chromatographic-excitation–emission fluorescence data: Advances, challenges and prospects in analytical applications |
title_full_unstemmed |
Third order chromatographic-excitation–emission fluorescence data: Advances, challenges and prospects in analytical applications |
title_sort |
Third order chromatographic-excitation–emission fluorescence data: Advances, challenges and prospects in analytical applications |
dc.creator.none.fl_str_mv |
Montemurro, Milagros Siano, Gabriel German Alcaraz, Mirta Raquel Goicoechea, Hector Casimiro |
author |
Montemurro, Milagros |
author_facet |
Montemurro, Milagros Siano, Gabriel German Alcaraz, Mirta Raquel Goicoechea, Hector Casimiro |
author_role |
author |
author2 |
Siano, Gabriel German Alcaraz, Mirta Raquel Goicoechea, Hector Casimiro |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Excitation–Emission Fluorescence Matrix Liquid Chromatography Multi-Way Analysis Third-Order Data Trilinear Decomposition |
topic |
Excitation–Emission Fluorescence Matrix Liquid Chromatography Multi-Way Analysis Third-Order Data Trilinear Decomposition |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.4 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Three analytical methodologies for the generation of third-order liquid chromatography–excitation–emission fluorescence matrix (LC–EEM) data are presented. Instrumental requirements were evaluated considering equipment complexity, costs and accessibility. A descriptive analysis of the generated data was done along trilinearity concept and chemometric resolution. For trilinear decomposition, PARallel FACtor Analysis (PARAFAC) model was utilized. Hence, possible effects that are caused in the resolution due to loss of trilinearity are detailed. Then, several data pre-processing and processing alternatives are proposed in order to successfully overcome the drawbacks that can be present in the chemometric resolution. Additionally, a reported analytical method for the determination of three analytes is presented to showcase the potential of the methodology to generate third-order LC–EEM data with quantitative aims. For data modelling, Augmented PARAFAC (APARAFAC) and Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) were used. Both algorithms demonstrated to be able to bear non-quadrilinear data in a multi-set analysis. Fil: Montemurro, Milagros. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina Fil: Siano, Gabriel German. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina Fil: Alcaraz, Mirta Raquel. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina Fil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina |
description |
Three analytical methodologies for the generation of third-order liquid chromatography–excitation–emission fluorescence matrix (LC–EEM) data are presented. Instrumental requirements were evaluated considering equipment complexity, costs and accessibility. A descriptive analysis of the generated data was done along trilinearity concept and chemometric resolution. For trilinear decomposition, PARallel FACtor Analysis (PARAFAC) model was utilized. Hence, possible effects that are caused in the resolution due to loss of trilinearity are detailed. Then, several data pre-processing and processing alternatives are proposed in order to successfully overcome the drawbacks that can be present in the chemometric resolution. Additionally, a reported analytical method for the determination of three analytes is presented to showcase the potential of the methodology to generate third-order LC–EEM data with quantitative aims. For data modelling, Augmented PARAFAC (APARAFAC) and Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) were used. Both algorithms demonstrated to be able to bear non-quadrilinear data in a multi-set analysis. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-08 |
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/11336/33646 Siano, Gabriel German; Montemurro, Milagros; Goicoechea, Hector Casimiro; Alcaraz, Mirta Raquel; Third order chromatographic-excitation–emission fluorescence data: Advances, challenges and prospects in analytical applications; Elsevier; Trac-Trends In Analytical Chemistry; 93; 8-2017; 119-133 0165-9936 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/33646 |
identifier_str_mv |
Siano, Gabriel German; Montemurro, Milagros; Goicoechea, Hector Casimiro; Alcaraz, Mirta Raquel; Third order chromatographic-excitation–emission fluorescence data: Advances, challenges and prospects in analytical applications; Elsevier; Trac-Trends In Analytical Chemistry; 93; 8-2017; 119-133 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.2017.05.011 |
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 |
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) |
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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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13.070432 |