Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS Treatment

Autores
Riba Ruiz, Jordi Roger; Mansilla, Marcela Angela; Canals, Trini; Cantero, Rosa
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper proposes an innovative approach to determine the composition of natural rubber (NR) and styrene butadiene rubber (SBR) blends from the analysis of the data provided by the differential scanning calorimetry (DSC) technique. DSC registers are post-processed, based on a multivariate chemometric approach, consisting in the application of the successive projections algorithm (SPA) as variable selection algorithm and a further application of the partial least squares (PLS) regression method and the leave-one-out cross-validation algorithm. Results attained by applying this approach are compared with those obtained from mid-infrared spectroscopy since this last method has been widely applied during the last decades. Experimental results summarized in the paper prove that this fast and cost-effective approach is useful to determine the composition of unknown incoming NR/SBR blends.
Fil: Riba Ruiz, Jordi Roger. Universidad Politécnica de Catalunya; España
Fil: Mansilla, Marcela Angela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Industrial. Instituto Nacional de Tecnología Industrial - Caucho; Argentina
Fil: Canals, Trini. Universidad de Lleida; España
Fil: Cantero, Rosa. Universidad de Lleida; España
Materia
COMPOSITION
DIFFERENTIAL SCANNING CALORIMETRY
NATURAL RUBBER
PARTIAL LEAST SQUARES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/118058
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/118058
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS TreatmentRiba Ruiz, Jordi RogerMansilla, Marcela AngelaCanals, TriniCantero, RosaCOMPOSITIONDIFFERENTIAL SCANNING CALORIMETRYNATURAL RUBBERPARTIAL LEAST SQUAREShttps://purl.org/becyt/ford/2.5https://purl.org/becyt/ford/2This paper proposes an innovative approach to determine the composition of natural rubber (NR) and styrene butadiene rubber (SBR) blends from the analysis of the data provided by the differential scanning calorimetry (DSC) technique. DSC registers are post-processed, based on a multivariate chemometric approach, consisting in the application of the successive projections algorithm (SPA) as variable selection algorithm and a further application of the partial least squares (PLS) regression method and the leave-one-out cross-validation algorithm. Results attained by applying this approach are compared with those obtained from mid-infrared spectroscopy since this last method has been widely applied during the last decades. Experimental results summarized in the paper prove that this fast and cost-effective approach is useful to determine the composition of unknown incoming NR/SBR blends.Fil: Riba Ruiz, Jordi Roger. Universidad Politécnica de Catalunya; EspañaFil: Mansilla, Marcela Angela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Industrial. Instituto Nacional de Tecnología Industrial - Caucho; ArgentinaFil: Canals, Trini. Universidad de Lleida; EspañaFil: Cantero, Rosa. Universidad de Lleida; EspañaUniversidade Federal de São Carlos2019-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/118058Riba Ruiz, Jordi Roger; Mansilla, Marcela Angela; Canals, Trini; Cantero, Rosa; Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS Treatment; Universidade Federal de São Carlos; Materials Research; 22; 1; 1-2019; 1-8; e201804151516-14391980-5373CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1590/1980-5373-mr-2018-0415info:eu-repo/semantics/altIdentifier/url/https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392019000100235&tlng=eninfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:02:12Zoai:ri.conicet.gov.ar:11336/118058instacron: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 10:02:12.745CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS Treatment
title Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS Treatment
spellingShingle Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS Treatment
Riba Ruiz, Jordi Roger
COMPOSITION
DIFFERENTIAL SCANNING CALORIMETRY
NATURAL RUBBER
PARTIAL LEAST SQUARES
title_short Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS Treatment
title_full Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS Treatment
title_fullStr Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS Treatment
title_full_unstemmed Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS Treatment
title_sort Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS Treatment
dc.creator.none.fl_str_mv Riba Ruiz, Jordi Roger
Mansilla, Marcela Angela
Canals, Trini
Cantero, Rosa
author Riba Ruiz, Jordi Roger
author_facet Riba Ruiz, Jordi Roger
Mansilla, Marcela Angela
Canals, Trini
Cantero, Rosa
author_role author
author2 Mansilla, Marcela Angela
Canals, Trini
Cantero, Rosa
author2_role author
author
author
dc.subject.none.fl_str_mv COMPOSITION
DIFFERENTIAL SCANNING CALORIMETRY
NATURAL RUBBER
PARTIAL LEAST SQUARES
topic COMPOSITION
DIFFERENTIAL SCANNING CALORIMETRY
NATURAL RUBBER
PARTIAL LEAST SQUARES
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.5
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper proposes an innovative approach to determine the composition of natural rubber (NR) and styrene butadiene rubber (SBR) blends from the analysis of the data provided by the differential scanning calorimetry (DSC) technique. DSC registers are post-processed, based on a multivariate chemometric approach, consisting in the application of the successive projections algorithm (SPA) as variable selection algorithm and a further application of the partial least squares (PLS) regression method and the leave-one-out cross-validation algorithm. Results attained by applying this approach are compared with those obtained from mid-infrared spectroscopy since this last method has been widely applied during the last decades. Experimental results summarized in the paper prove that this fast and cost-effective approach is useful to determine the composition of unknown incoming NR/SBR blends.
Fil: Riba Ruiz, Jordi Roger. Universidad Politécnica de Catalunya; España
Fil: Mansilla, Marcela Angela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Industrial. Instituto Nacional de Tecnología Industrial - Caucho; Argentina
Fil: Canals, Trini. Universidad de Lleida; España
Fil: Cantero, Rosa. Universidad de Lleida; España
description This paper proposes an innovative approach to determine the composition of natural rubber (NR) and styrene butadiene rubber (SBR) blends from the analysis of the data provided by the differential scanning calorimetry (DSC) technique. DSC registers are post-processed, based on a multivariate chemometric approach, consisting in the application of the successive projections algorithm (SPA) as variable selection algorithm and a further application of the partial least squares (PLS) regression method and the leave-one-out cross-validation algorithm. Results attained by applying this approach are compared with those obtained from mid-infrared spectroscopy since this last method has been widely applied during the last decades. Experimental results summarized in the paper prove that this fast and cost-effective approach is useful to determine the composition of unknown incoming NR/SBR blends.
publishDate 2019
dc.date.none.fl_str_mv 2019-01
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/11336/118058
Riba Ruiz, Jordi Roger; Mansilla, Marcela Angela; Canals, Trini; Cantero, Rosa; Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS Treatment; Universidade Federal de São Carlos; Materials Research; 22; 1; 1-2019; 1-8; e20180415
1516-1439
1980-5373
CONICET Digital
CONICET
url http://hdl.handle.net/11336/118058
identifier_str_mv Riba Ruiz, Jordi Roger; Mansilla, Marcela Angela; Canals, Trini; Cantero, Rosa; Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS Treatment; Universidade Federal de São Carlos; Materials Research; 22; 1; 1-2019; 1-8; e20180415
1516-1439
1980-5373
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1590/1980-5373-mr-2018-0415
info:eu-repo/semantics/altIdentifier/url/https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392019000100235&tlng=en
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de São Carlos
publisher.none.fl_str_mv Universidade Federal de São Carlos
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 13.13397

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