Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea water

Autores
Di Nezio, Maria Susana; Pistonesi, Marcelo Fabian; Fragoso, Wallace D.; Pontes, Márcio J.C.; Goicoechea, Hector Casimiro; Araujo, Mário C.U.; Fernández Band, Beatriz Susana
Año de publicación
2007
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper proposes an analytical method to determine directly and simultaneously five phenolic compounds (4-nitrophenol, 2-nitrophenol, phenol, 2,4,6-trichlorophenol and 4-chlorophenol) in sea water (Ria de Bahía Blanca, Argentine). The advantages of this method is that only requires spectrophotometric measurements (separation steps and derivatization reagents are avoided) and chemometric modelling (PLS and MLR-SPA). The statistical comparison between PLS - a well established multivariate method - and MLR-SPA - a recently presented chemometric modelling - demonstrated better analytical performance for the later one. This fact is indicative of the potentiality of MLR-SPA for solving complex analytical problems.
Fil: Di Nezio, Maria Susana. Universidad Nacional del Sur; Argentina
Fil: Pistonesi, Marcelo Fabian. Universidad Nacional del Sur; Argentina
Fil: Fragoso, Wallace D.. Universidade Federal Da Paraiba;
Fil: Pontes, Márcio J.C.. Universidade Federal Da Paraiba;
Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral; Argentina
Fil: Araujo, Mário C.U.. Universidade Federal Da Paraiba;
Fil: Fernández Band, Beatriz Susana. Universidad Nacional del Sur; Argentina
Materia
ENVIRONMENTAL
PHENOL
PLS
SPA
WASTES
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:11336/89159
Acceder
id CONICETDig_92cd189198e46ea4f702cae997e65891
oai_identifier_str oai:ri.conicet.gov.ar:11336/89159
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea waterDi Nezio, Maria SusanaPistonesi, Marcelo FabianFragoso, Wallace D.Pontes, Márcio J.C.Goicoechea, Hector CasimiroAraujo, Mário C.U.Fernández Band, Beatriz SusanaENVIRONMENTALPHENOLPLSSPAWASTESThis paper proposes an analytical method to determine directly and simultaneously five phenolic compounds (4-nitrophenol, 2-nitrophenol, phenol, 2,4,6-trichlorophenol and 4-chlorophenol) in sea water (Ria de Bahía Blanca, Argentine). The advantages of this method is that only requires spectrophotometric measurements (separation steps and derivatization reagents are avoided) and chemometric modelling (PLS and MLR-SPA). The statistical comparison between PLS - a well established multivariate method - and MLR-SPA - a recently presented chemometric modelling - demonstrated better analytical performance for the later one. This fact is indicative of the potentiality of MLR-SPA for solving complex analytical problems.Fil: Di Nezio, Maria Susana. Universidad Nacional del Sur; ArgentinaFil: Pistonesi, Marcelo Fabian. Universidad Nacional del Sur; ArgentinaFil: Fragoso, Wallace D.. Universidade Federal Da Paraiba;Fil: Pontes, Márcio J.C.. Universidade Federal Da Paraiba;Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral; ArgentinaFil: Araujo, Mário C.U.. Universidade Federal Da Paraiba;Fil: Fernández Band, Beatriz Susana. Universidad Nacional del Sur; ArgentinaElsevier Science2007-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/89159Di Nezio, Maria Susana; Pistonesi, Marcelo Fabian; Fragoso, Wallace D.; Pontes, Márcio J.C.; Goicoechea, Hector Casimiro; et al.; Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea water; Elsevier Science; Microchemical Journal; 85; 2; 4-2007; 194-2000026-265XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2006.04.021info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:13:51Zoai:ri.conicet.gov.ar:11336/89159instacron: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:34982025-09-10 13:13:52.168CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea water
title Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea water
spellingShingle Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea water
Di Nezio, Maria Susana
ENVIRONMENTAL
PHENOL
PLS
SPA
WASTES
title_short Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea water
title_full Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea water
title_fullStr Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea water
title_full_unstemmed Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea water
title_sort Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea water
dc.creator.none.fl_str_mv Di Nezio, Maria Susana
Pistonesi, Marcelo Fabian
Fragoso, Wallace D.
Pontes, Márcio J.C.
Goicoechea, Hector Casimiro
Araujo, Mário C.U.
Fernández Band, Beatriz Susana
author Di Nezio, Maria Susana
author_facet Di Nezio, Maria Susana
Pistonesi, Marcelo Fabian
Fragoso, Wallace D.
Pontes, Márcio J.C.
Goicoechea, Hector Casimiro
Araujo, Mário C.U.
Fernández Band, Beatriz Susana
author_role author
author2 Pistonesi, Marcelo Fabian
Fragoso, Wallace D.
Pontes, Márcio J.C.
Goicoechea, Hector Casimiro
Araujo, Mário C.U.
Fernández Band, Beatriz Susana
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv ENVIRONMENTAL
PHENOL
PLS
SPA
WASTES
topic ENVIRONMENTAL
PHENOL
PLS
SPA
WASTES
dc.description.none.fl_txt_mv This paper proposes an analytical method to determine directly and simultaneously five phenolic compounds (4-nitrophenol, 2-nitrophenol, phenol, 2,4,6-trichlorophenol and 4-chlorophenol) in sea water (Ria de Bahía Blanca, Argentine). The advantages of this method is that only requires spectrophotometric measurements (separation steps and derivatization reagents are avoided) and chemometric modelling (PLS and MLR-SPA). The statistical comparison between PLS - a well established multivariate method - and MLR-SPA - a recently presented chemometric modelling - demonstrated better analytical performance for the later one. This fact is indicative of the potentiality of MLR-SPA for solving complex analytical problems.
Fil: Di Nezio, Maria Susana. Universidad Nacional del Sur; Argentina
Fil: Pistonesi, Marcelo Fabian. Universidad Nacional del Sur; Argentina
Fil: Fragoso, Wallace D.. Universidade Federal Da Paraiba;
Fil: Pontes, Márcio J.C.. Universidade Federal Da Paraiba;
Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral; Argentina
Fil: Araujo, Mário C.U.. Universidade Federal Da Paraiba;
Fil: Fernández Band, Beatriz Susana. Universidad Nacional del Sur; Argentina
description This paper proposes an analytical method to determine directly and simultaneously five phenolic compounds (4-nitrophenol, 2-nitrophenol, phenol, 2,4,6-trichlorophenol and 4-chlorophenol) in sea water (Ria de Bahía Blanca, Argentine). The advantages of this method is that only requires spectrophotometric measurements (separation steps and derivatization reagents are avoided) and chemometric modelling (PLS and MLR-SPA). The statistical comparison between PLS - a well established multivariate method - and MLR-SPA - a recently presented chemometric modelling - demonstrated better analytical performance for the later one. This fact is indicative of the potentiality of MLR-SPA for solving complex analytical problems.
publishDate 2007
dc.date.none.fl_str_mv 2007-04
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/11336/89159
Di Nezio, Maria Susana; Pistonesi, Marcelo Fabian; Fragoso, Wallace D.; Pontes, Márcio J.C.; Goicoechea, Hector Casimiro; et al.; Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea water; Elsevier Science; Microchemical Journal; 85; 2; 4-2007; 194-200
0026-265X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/89159
identifier_str_mv Di Nezio, Maria Susana; Pistonesi, Marcelo Fabian; Fragoso, Wallace D.; Pontes, Márcio J.C.; Goicoechea, Hector Casimiro; et al.; Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea water; Elsevier Science; Microchemical Journal; 85; 2; 4-2007; 194-200
0026-265X
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.microc.2006.04.021
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
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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_ 1842980736978649088
score 12.993085

Publicaciones similares