Screening analysis of biodiesel feedstock using UV-vis, NIR and synchronous fluorescence spectrometries and the successive projections algorithm

Autores
Insausti, Matías; Gomes, Adriano A.; Cruz, Fernanda V.; Pistonesi, Marcelo Fabian; Ugulino de Araújo, Mário C.; Galvão, Roberto K.H.; Pereira, Claudete F.; Fernández Band, Beatriz Susana
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper investigates the use of UV-vis, near infrared (NIR) and synchronous fluorescence (SF) spectrometries coupled with multivariate classification methods to discriminate biodiesel samples with respect to the base oil employed in their production. More specifically, the present work extends previous studies by investigating the discrimination of corn-based biodiesel from two other biodiesel types (sunflower and soybean). Two classification methods are compared, namely full-spectrum SIMCA (soft independent modelling of class analogies) and SPA-LDA (linear discriminant analysis with variables selected by the successive projections algorithm). Regardless of the spectrometric technique employed, full-spectrum SIMCA did not provide an appropriate discrimination of the three biodiesel types. In contrast, all samples were correctly classified on the basis of a reduced number of wavelengths selected by SPA-LDA. It can be concluded that UV-vis, NIR and SF spectrometries can be successfully employed to discriminate corn-based biodiesel from the two other biodiesel types, but wavelength selection by SPA-LDA is key to the proper separation of the classes.
Fil: Insausti, Matías. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Gomes, Adriano A.. Universidade Federal da Paraíba; Brasil
Fil: Cruz, Fernanda V.. Universidade Federal da Paraíba; Brasil
Fil: Pistonesi, Marcelo Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Ugulino de Araújo, Mário C.. Universidade Federal Da Paraíba; Brasil
Fil: Galvão, Roberto K.H.. Universidade Federal da Paraíba; Brasil
Fil: Pereira, Claudete F.. Universidade Federal da Paraíba; Brasil
Fil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Materia
BIODIESEL
LINEAR DISCRIMINANT ANALYSIS
NEAR INFRARED AND SYNCHRONOUS FLUORESCENCE SPECTROMETRY
SIMCA
SUCCESSIVE PROJECTIONS ALGORITHM
UV-VIS
WAVELENGTH SELECTION
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:11336/95159
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/95159
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Screening analysis of biodiesel feedstock using UV-vis, NIR and synchronous fluorescence spectrometries and the successive projections algorithmInsausti, MatíasGomes, Adriano A.Cruz, Fernanda V.Pistonesi, Marcelo FabianUgulino de Araújo, Mário C.Galvão, Roberto K.H.Pereira, Claudete F.Fernández Band, Beatriz SusanaBIODIESELLINEAR DISCRIMINANT ANALYSISNEAR INFRARED AND SYNCHRONOUS FLUORESCENCE SPECTROMETRYSIMCASUCCESSIVE PROJECTIONS ALGORITHMUV-VISWAVELENGTH SELECTIONhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1This paper investigates the use of UV-vis, near infrared (NIR) and synchronous fluorescence (SF) spectrometries coupled with multivariate classification methods to discriminate biodiesel samples with respect to the base oil employed in their production. More specifically, the present work extends previous studies by investigating the discrimination of corn-based biodiesel from two other biodiesel types (sunflower and soybean). Two classification methods are compared, namely full-spectrum SIMCA (soft independent modelling of class analogies) and SPA-LDA (linear discriminant analysis with variables selected by the successive projections algorithm). Regardless of the spectrometric technique employed, full-spectrum SIMCA did not provide an appropriate discrimination of the three biodiesel types. In contrast, all samples were correctly classified on the basis of a reduced number of wavelengths selected by SPA-LDA. It can be concluded that UV-vis, NIR and SF spectrometries can be successfully employed to discriminate corn-based biodiesel from the two other biodiesel types, but wavelength selection by SPA-LDA is key to the proper separation of the classes.Fil: Insausti, Matías. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaFil: Gomes, Adriano A.. Universidade Federal da Paraíba; BrasilFil: Cruz, Fernanda V.. Universidade Federal da Paraíba; BrasilFil: Pistonesi, Marcelo Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaFil: Ugulino de Araújo, Mário C.. Universidade Federal Da Paraíba; BrasilFil: Galvão, Roberto K.H.. Universidade Federal da Paraíba; BrasilFil: Pereira, Claudete F.. Universidade Federal da Paraíba; BrasilFil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaElsevier Science2012-08info: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/11336/95159Insausti, Matías; Gomes, Adriano A.; Cruz, Fernanda V.; Pistonesi, Marcelo Fabian; Ugulino de Araújo, Mário C.; et al.; Screening analysis of biodiesel feedstock using UV-vis, NIR and synchronous fluorescence spectrometries and the successive projections algorithm; Elsevier Science; Talanta; 97; 8-2012; 579-5830039-9140CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0039914012003700info:eu-repo/semantics/altIdentifier/doi/10.1016/j.talanta.2012.04.056info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:46:06Zoai:ri.conicet.gov.ar:11336/95159instacron: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:34982025-09-03 09:46:06.456CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Screening analysis of biodiesel feedstock using UV-vis, NIR and synchronous fluorescence spectrometries and the successive projections algorithm
title Screening analysis of biodiesel feedstock using UV-vis, NIR and synchronous fluorescence spectrometries and the successive projections algorithm
spellingShingle Screening analysis of biodiesel feedstock using UV-vis, NIR and synchronous fluorescence spectrometries and the successive projections algorithm
Insausti, Matías
BIODIESEL
LINEAR DISCRIMINANT ANALYSIS
NEAR INFRARED AND SYNCHRONOUS FLUORESCENCE SPECTROMETRY
SIMCA
SUCCESSIVE PROJECTIONS ALGORITHM
UV-VIS
WAVELENGTH SELECTION
title_short Screening analysis of biodiesel feedstock using UV-vis, NIR and synchronous fluorescence spectrometries and the successive projections algorithm
title_full Screening analysis of biodiesel feedstock using UV-vis, NIR and synchronous fluorescence spectrometries and the successive projections algorithm
title_fullStr Screening analysis of biodiesel feedstock using UV-vis, NIR and synchronous fluorescence spectrometries and the successive projections algorithm
title_full_unstemmed Screening analysis of biodiesel feedstock using UV-vis, NIR and synchronous fluorescence spectrometries and the successive projections algorithm
title_sort Screening analysis of biodiesel feedstock using UV-vis, NIR and synchronous fluorescence spectrometries and the successive projections algorithm
dc.creator.none.fl_str_mv Insausti, Matías
Gomes, Adriano A.
Cruz, Fernanda V.
Pistonesi, Marcelo Fabian
Ugulino de Araújo, Mário C.
Galvão, Roberto K.H.
Pereira, Claudete F.
Fernández Band, Beatriz Susana
author Insausti, Matías
author_facet Insausti, Matías
Gomes, Adriano A.
Cruz, Fernanda V.
Pistonesi, Marcelo Fabian
Ugulino de Araújo, Mário C.
Galvão, Roberto K.H.
Pereira, Claudete F.
Fernández Band, Beatriz Susana
author_role author
author2 Gomes, Adriano A.
Cruz, Fernanda V.
Pistonesi, Marcelo Fabian
Ugulino de Araújo, Mário C.
Galvão, Roberto K.H.
Pereira, Claudete F.
Fernández Band, Beatriz Susana
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv BIODIESEL
LINEAR DISCRIMINANT ANALYSIS
NEAR INFRARED AND SYNCHRONOUS FLUORESCENCE SPECTROMETRY
SIMCA
SUCCESSIVE PROJECTIONS ALGORITHM
UV-VIS
WAVELENGTH SELECTION
topic BIODIESEL
LINEAR DISCRIMINANT ANALYSIS
NEAR INFRARED AND SYNCHRONOUS FLUORESCENCE SPECTROMETRY
SIMCA
SUCCESSIVE PROJECTIONS ALGORITHM
UV-VIS
WAVELENGTH SELECTION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This paper investigates the use of UV-vis, near infrared (NIR) and synchronous fluorescence (SF) spectrometries coupled with multivariate classification methods to discriminate biodiesel samples with respect to the base oil employed in their production. More specifically, the present work extends previous studies by investigating the discrimination of corn-based biodiesel from two other biodiesel types (sunflower and soybean). Two classification methods are compared, namely full-spectrum SIMCA (soft independent modelling of class analogies) and SPA-LDA (linear discriminant analysis with variables selected by the successive projections algorithm). Regardless of the spectrometric technique employed, full-spectrum SIMCA did not provide an appropriate discrimination of the three biodiesel types. In contrast, all samples were correctly classified on the basis of a reduced number of wavelengths selected by SPA-LDA. It can be concluded that UV-vis, NIR and SF spectrometries can be successfully employed to discriminate corn-based biodiesel from the two other biodiesel types, but wavelength selection by SPA-LDA is key to the proper separation of the classes.
Fil: Insausti, Matías. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Gomes, Adriano A.. Universidade Federal da Paraíba; Brasil
Fil: Cruz, Fernanda V.. Universidade Federal da Paraíba; Brasil
Fil: Pistonesi, Marcelo Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Ugulino de Araújo, Mário C.. Universidade Federal Da Paraíba; Brasil
Fil: Galvão, Roberto K.H.. Universidade Federal da Paraíba; Brasil
Fil: Pereira, Claudete F.. Universidade Federal da Paraíba; Brasil
Fil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
description This paper investigates the use of UV-vis, near infrared (NIR) and synchronous fluorescence (SF) spectrometries coupled with multivariate classification methods to discriminate biodiesel samples with respect to the base oil employed in their production. More specifically, the present work extends previous studies by investigating the discrimination of corn-based biodiesel from two other biodiesel types (sunflower and soybean). Two classification methods are compared, namely full-spectrum SIMCA (soft independent modelling of class analogies) and SPA-LDA (linear discriminant analysis with variables selected by the successive projections algorithm). Regardless of the spectrometric technique employed, full-spectrum SIMCA did not provide an appropriate discrimination of the three biodiesel types. In contrast, all samples were correctly classified on the basis of a reduced number of wavelengths selected by SPA-LDA. It can be concluded that UV-vis, NIR and SF spectrometries can be successfully employed to discriminate corn-based biodiesel from the two other biodiesel types, but wavelength selection by SPA-LDA is key to the proper separation of the classes.
publishDate 2012
dc.date.none.fl_str_mv 2012-08
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/11336/95159
Insausti, Matías; Gomes, Adriano A.; Cruz, Fernanda V.; Pistonesi, Marcelo Fabian; Ugulino de Araújo, Mário C.; et al.; Screening analysis of biodiesel feedstock using UV-vis, NIR and synchronous fluorescence spectrometries and the successive projections algorithm; Elsevier Science; Talanta; 97; 8-2012; 579-583
0039-9140
CONICET Digital
CONICET
url http://hdl.handle.net/11336/95159
identifier_str_mv Insausti, Matías; Gomes, Adriano A.; Cruz, Fernanda V.; Pistonesi, Marcelo Fabian; Ugulino de Araújo, Mário C.; et al.; Screening analysis of biodiesel feedstock using UV-vis, NIR and synchronous fluorescence spectrometries and the successive projections algorithm; Elsevier Science; Talanta; 97; 8-2012; 579-583
0039-9140
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0039914012003700
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.talanta.2012.04.056
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 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_ 1842268774337609728
score 13.13397

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