Guaiacol and its mixtures: New data and predictive models part 1: Phase equilibrium

Detalhes bibliográficos
Autor(a) principal: Courtial, Camila Gambini Pereira
Data de Publicação: 2018
Outros Autores: Féjean, Christophe, Betoulle, Stéphane, Ferrando, Nicolas, Lugo, Rafael, Hemptinne, Jean Charles de, Mougin, Pascal
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/32484
Resumo: In the present work, new experimental data of guaiacol mixture with methane were investigated. The results have been evaluated using several thermodynamic approaches. Predictive calculations using the GC-PPC-SAFT (Group Contribution-Polar Perturbed Chain- Statistical Associating Fluid Theory) equation of state and Molecular Simulation using the Anisotropic United Atoms (AUA4) force field were performed. Data from literature for the binary systems of guaiacol with CO2, ethanol, octanol, acetone, butyl acetate and water were used to evaluate the thermodynamic models. The effect of the association scheme is discussed at length. Predictive phase equilibrium for systems containing small and toxic compounds, such as hydrogen, carbon monoxide, hydrogen sulfide and ammonia were also performed. In GC-PPC-SAFT, two configurations of associative sites for guaiacol were considered. The predicted values showed to be consistent with new experimental data. The effect of conformational structure of guaiacol on phase equilibria was detected
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spelling Courtial, Camila Gambini PereiraFéjean, ChristopheBetoulle, StéphaneFerrando, NicolasLugo, RafaelHemptinne, Jean Charles deMougin, Pascal2021-05-10T20:49:46Z2021-05-10T20:49:46Z2018-08-25PEREIRA, C. G.; FÉJEAN, C.; BETOULLE, S.; FERRANDO, N.; LUGO, R.; HEMPTINNE, J.C.; MOUGIN, P.. Guaiacol and its mixtures: New data and predictive models part 1: Phase equilibrium. Fluid Phase Equilibria, v. 470, p. 75-90, 2018. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0378381218300438?via%3Dihub. Acesso em: 03 abr. 2021. https://doi.org/10.1016/j.fluid.2018.01.03510.1016/j.fluid.2018.01.0350378-3812https://repositorio.ufrn.br/handle/123456789/32484ElsevierPhase equilibriaGuaiacolGC-PPC-SAFTMolecular simulationGuaiacol and its mixtures: New data and predictive models part 1: Phase equilibriuminfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleIn the present work, new experimental data of guaiacol mixture with methane were investigated. The results have been evaluated using several thermodynamic approaches. Predictive calculations using the GC-PPC-SAFT (Group Contribution-Polar Perturbed Chain- Statistical Associating Fluid Theory) equation of state and Molecular Simulation using the Anisotropic United Atoms (AUA4) force field were performed. Data from literature for the binary systems of guaiacol with CO2, ethanol, octanol, acetone, butyl acetate and water were used to evaluate the thermodynamic models. The effect of the association scheme is discussed at length. Predictive phase equilibrium for systems containing small and toxic compounds, such as hydrogen, carbon monoxide, hydrogen sulfide and ammonia were also performed. In GC-PPC-SAFT, two configurations of associative sites for guaiacol were considered. The predicted values showed to be consistent with new experimental data. The effect of conformational structure of guaiacol on phase equilibria was detectedengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNinfo:eu-repo/semantics/openAccessCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/32484/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/32484/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53123456789/324842023-02-06 15:48:23.889oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2023-02-06T18:48:23Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Guaiacol and its mixtures: New data and predictive models part 1: Phase equilibrium
title Guaiacol and its mixtures: New data and predictive models part 1: Phase equilibrium
spellingShingle Guaiacol and its mixtures: New data and predictive models part 1: Phase equilibrium
Courtial, Camila Gambini Pereira
Phase equilibria
Guaiacol
GC-PPC-SAFT
Molecular simulation
title_short Guaiacol and its mixtures: New data and predictive models part 1: Phase equilibrium
title_full Guaiacol and its mixtures: New data and predictive models part 1: Phase equilibrium
title_fullStr Guaiacol and its mixtures: New data and predictive models part 1: Phase equilibrium
title_full_unstemmed Guaiacol and its mixtures: New data and predictive models part 1: Phase equilibrium
title_sort Guaiacol and its mixtures: New data and predictive models part 1: Phase equilibrium
author Courtial, Camila Gambini Pereira
author_facet Courtial, Camila Gambini Pereira
Féjean, Christophe
Betoulle, Stéphane
Ferrando, Nicolas
Lugo, Rafael
Hemptinne, Jean Charles de
Mougin, Pascal
author_role author
author2 Féjean, Christophe
Betoulle, Stéphane
Ferrando, Nicolas
Lugo, Rafael
Hemptinne, Jean Charles de
Mougin, Pascal
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Courtial, Camila Gambini Pereira
Féjean, Christophe
Betoulle, Stéphane
Ferrando, Nicolas
Lugo, Rafael
Hemptinne, Jean Charles de
Mougin, Pascal
dc.subject.por.fl_str_mv Phase equilibria
Guaiacol
GC-PPC-SAFT
Molecular simulation
topic Phase equilibria
Guaiacol
GC-PPC-SAFT
Molecular simulation
description In the present work, new experimental data of guaiacol mixture with methane were investigated. The results have been evaluated using several thermodynamic approaches. Predictive calculations using the GC-PPC-SAFT (Group Contribution-Polar Perturbed Chain- Statistical Associating Fluid Theory) equation of state and Molecular Simulation using the Anisotropic United Atoms (AUA4) force field were performed. Data from literature for the binary systems of guaiacol with CO2, ethanol, octanol, acetone, butyl acetate and water were used to evaluate the thermodynamic models. The effect of the association scheme is discussed at length. Predictive phase equilibrium for systems containing small and toxic compounds, such as hydrogen, carbon monoxide, hydrogen sulfide and ammonia were also performed. In GC-PPC-SAFT, two configurations of associative sites for guaiacol were considered. The predicted values showed to be consistent with new experimental data. The effect of conformational structure of guaiacol on phase equilibria was detected
publishDate 2018
dc.date.issued.fl_str_mv 2018-08-25
dc.date.accessioned.fl_str_mv 2021-05-10T20:49:46Z
dc.date.available.fl_str_mv 2021-05-10T20:49:46Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv PEREIRA, C. G.; FÉJEAN, C.; BETOULLE, S.; FERRANDO, N.; LUGO, R.; HEMPTINNE, J.C.; MOUGIN, P.. Guaiacol and its mixtures: New data and predictive models part 1: Phase equilibrium. Fluid Phase Equilibria, v. 470, p. 75-90, 2018. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0378381218300438?via%3Dihub. Acesso em: 03 abr. 2021. https://doi.org/10.1016/j.fluid.2018.01.035
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/32484
dc.identifier.issn.none.fl_str_mv 10.1016/j.fluid.2018.01.035
0378-3812
identifier_str_mv PEREIRA, C. G.; FÉJEAN, C.; BETOULLE, S.; FERRANDO, N.; LUGO, R.; HEMPTINNE, J.C.; MOUGIN, P.. Guaiacol and its mixtures: New data and predictive models part 1: Phase equilibrium. Fluid Phase Equilibria, v. 470, p. 75-90, 2018. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0378381218300438?via%3Dihub. Acesso em: 03 abr. 2021. https://doi.org/10.1016/j.fluid.2018.01.035
10.1016/j.fluid.2018.01.035
0378-3812
url https://repositorio.ufrn.br/handle/123456789/32484
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
instname:Universidade Federal do Rio Grande do Norte (UFRN)
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reponame_str Repositório Institucional da UFRN
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