Randomly-Branched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distributions of Molar Masses and Branchin...
- Autores
- Clementi, Luis Alberto; Vega, Jorge Ruben; Meira, Gregorio Raul
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This article theoretically evaluates the biases introduced into the distributions of molar masses (MMD) and number of long chain branches per molecule (LCBD), when randomly branched polymers are analyzed by size exclusion chromatography (SEC) with molar mass sensitive detectors. The MMD of a polymer with tetrafunctional branch units is simulated under ideal SEC, i.e., Theta-solvent, perfect measurements, and perfect fractionation by hydrodynamic volume except for a minor mixing in the detector cells. A negligible bias is introduced into the MMD, even when including band broadening in the columns. In contrast, poor MMD estimates are obtained when the chromatograms are contaminated with additive noise. Only qualitative estimates of the LCBD are possible.
Fil: Clementi, Luis Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
Fil: Vega, Jorge Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
Fil: Meira, Gregorio Raul. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina - Materia
-
Branching
Molecular Weight Distribution
Simulation Study
Triple Detection Sec - 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:11336/8754
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Randomly-Branched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distributions of Molar Masses and Branching DegreesClementi, Luis AlbertoVega, Jorge RubenMeira, Gregorio RaulBranchingMolecular Weight DistributionSimulation StudyTriple Detection Sechttps://purl.org/becyt/ford/2.5https://purl.org/becyt/ford/2This article theoretically evaluates the biases introduced into the distributions of molar masses (MMD) and number of long chain branches per molecule (LCBD), when randomly branched polymers are analyzed by size exclusion chromatography (SEC) with molar mass sensitive detectors. The MMD of a polymer with tetrafunctional branch units is simulated under ideal SEC, i.e., Theta-solvent, perfect measurements, and perfect fractionation by hydrodynamic volume except for a minor mixing in the detector cells. A negligible bias is introduced into the MMD, even when including band broadening in the columns. In contrast, poor MMD estimates are obtained when the chromatograms are contaminated with additive noise. Only qualitative estimates of the LCBD are possible.Fil: Clementi, Luis Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); ArgentinaFil: Vega, Jorge Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); ArgentinaFil: Meira, Gregorio Raul. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); ArgentinaWiley2013-12info: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/11336/8754Clementi, Luis Alberto; Vega, Jorge Ruben; Meira, Gregorio Raul; Randomly-Branched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distributions of Molar Masses and Branching Degrees; Wiley; Macromolecular Theory And Simulations; 23; 2; 12-2013; 90-1001022-1344enginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/mats.201300124/abstractinfo:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1002/mats.201300124info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:05:21Zoai:ri.conicet.gov.ar:11336/8754instacron: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 10:05:21.406CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Randomly-Branched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distributions of Molar Masses and Branching Degrees |
title |
Randomly-Branched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distributions of Molar Masses and Branching Degrees |
spellingShingle |
Randomly-Branched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distributions of Molar Masses and Branching Degrees Clementi, Luis Alberto Branching Molecular Weight Distribution Simulation Study Triple Detection Sec |
title_short |
Randomly-Branched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distributions of Molar Masses and Branching Degrees |
title_full |
Randomly-Branched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distributions of Molar Masses and Branching Degrees |
title_fullStr |
Randomly-Branched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distributions of Molar Masses and Branching Degrees |
title_full_unstemmed |
Randomly-Branched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distributions of Molar Masses and Branching Degrees |
title_sort |
Randomly-Branched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distributions of Molar Masses and Branching Degrees |
dc.creator.none.fl_str_mv |
Clementi, Luis Alberto Vega, Jorge Ruben Meira, Gregorio Raul |
author |
Clementi, Luis Alberto |
author_facet |
Clementi, Luis Alberto Vega, Jorge Ruben Meira, Gregorio Raul |
author_role |
author |
author2 |
Vega, Jorge Ruben Meira, Gregorio Raul |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Branching Molecular Weight Distribution Simulation Study Triple Detection Sec |
topic |
Branching Molecular Weight Distribution Simulation Study Triple Detection Sec |
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 article theoretically evaluates the biases introduced into the distributions of molar masses (MMD) and number of long chain branches per molecule (LCBD), when randomly branched polymers are analyzed by size exclusion chromatography (SEC) with molar mass sensitive detectors. The MMD of a polymer with tetrafunctional branch units is simulated under ideal SEC, i.e., Theta-solvent, perfect measurements, and perfect fractionation by hydrodynamic volume except for a minor mixing in the detector cells. A negligible bias is introduced into the MMD, even when including band broadening in the columns. In contrast, poor MMD estimates are obtained when the chromatograms are contaminated with additive noise. Only qualitative estimates of the LCBD are possible. Fil: Clementi, Luis Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina Fil: Vega, Jorge Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina Fil: Meira, Gregorio Raul. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina |
description |
This article theoretically evaluates the biases introduced into the distributions of molar masses (MMD) and number of long chain branches per molecule (LCBD), when randomly branched polymers are analyzed by size exclusion chromatography (SEC) with molar mass sensitive detectors. The MMD of a polymer with tetrafunctional branch units is simulated under ideal SEC, i.e., Theta-solvent, perfect measurements, and perfect fractionation by hydrodynamic volume except for a minor mixing in the detector cells. A negligible bias is introduced into the MMD, even when including band broadening in the columns. In contrast, poor MMD estimates are obtained when the chromatograms are contaminated with additive noise. Only qualitative estimates of the LCBD are possible. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12 |
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/11336/8754 Clementi, Luis Alberto; Vega, Jorge Ruben; Meira, Gregorio Raul; Randomly-Branched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distributions of Molar Masses and Branching Degrees; Wiley; Macromolecular Theory And Simulations; 23; 2; 12-2013; 90-100 1022-1344 |
url |
http://hdl.handle.net/11336/8754 |
identifier_str_mv |
Clementi, Luis Alberto; Vega, Jorge Ruben; Meira, Gregorio Raul; Randomly-Branched Polymers by Size Exclusion Chromatography with Triple Detection: Computer Simulation Study for Estimating Errors in the Distributions of Molar Masses and Branching Degrees; Wiley; Macromolecular Theory And Simulations; 23; 2; 12-2013; 90-100 1022-1344 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/mats.201300124/abstract info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1002/mats.201300124 |
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 |
Wiley |
publisher.none.fl_str_mv |
Wiley |
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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1844613888946995200 |
score |
13.070432 |