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Analysis and optimization of the influence of operating conditions in the ultrafiltration of macromolecules using a response surface methodological approach

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Analysis and optimization of the influence of operating conditions in the ultrafiltration of macromolecules using a response surface methodological approach

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dc.contributor.author Martí Calatayud, Manuel César es_ES
dc.contributor.author Vincent Vela, Maria Cinta es_ES
dc.contributor.author Alvarez Blanco, Silvia es_ES
dc.contributor.author Lora-García, Jaime es_ES
dc.contributor.author Bergantinos Rodríguez, Enrique es_ES
dc.date.accessioned 2018-03-20T09:52:16Z
dc.date.available 2018-03-20T09:52:16Z
dc.date.issued 2010 es_ES
dc.identifier.issn 1385-8947 es_ES
dc.identifier.uri http://hdl.handle.net/10251/99522
dc.description.abstract [EN] In this work, the ultrafiltration of macromolecules was analysed using a response surface methodological approach. The behaviour of two different inorganic membranes was investigated. The membranes selected were a Carbosep M2 membrane (Orelis, France) with a molecular weight cut-off (MWCO) of 15 kDa and a Tami MSKT membrane (Tami Industries, France) with a MWCO of 5 kDa. The solute employed was polyethylene glycol of 35 kDa molecular weight. The influence of transmembrane pressure (0.1, 0.2, 0.3, 0.4 and 0.5 MPa), crossflow velocity (1, 2 and 3 m/s) and feed concentration (5, 10 and 15 g/L) on permeate flux and permeate flux decline was investigated. Analysis of variance was proved to be a useful tool to determine the effect of operating variables on both parameters. The method used demonstrated the presence of coupled effects between factors as well as squared effects that are relevant to the ultrafiltration process. The surface contours obtained from fitted models were used for the optimization of the operating conditions. The goal was to simultaneously maximize the average permeate flux and minimize the flux decline. The optimal operating conditions for the Carbosep M2 membrane were a transmembrane pressure of 0.38 MPa and a crossflow velocity of 3 m/s. The optimal operating conditions for the Tami MSKT membrane could not be determined by means of multiple response optimization due to the low accuracy of the regression model obtained for the cumulative permeate flux decline (SFD) response variable. (C) 2009 Elsevier B.V. All rights reserved. es_ES
dc.description.sponsorship The authors of this work wish to gratefully acknowledge the financial support of the Spanish Ministry of Science and Technology (MCYT) through the project no. CTQ2005-03398.
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Chemical Engineering Journal es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Ultrafiltration es_ES
dc.subject Flux decline es_ES
dc.subject Macromolecules es_ES
dc.subject Response surface methodology es_ES
dc.subject Optimization es_ES
dc.subject.classification INGENIERIA QUIMICA es_ES
dc.title Analysis and optimization of the influence of operating conditions in the ultrafiltration of macromolecules using a response surface methodological approach es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.cej.2009.10.031 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MEC//CTQ2005-03398/ES/TECNICAS COMBINADAS DE SEPARACION PARA LA GESTION DE SALMUERAS PROCEDENTES DE PROCESOS DE MEMBRANA PARA LA DESALACION DE AGUAS SALOBRES./ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Seguridad Industrial, Radiofísica y Medioambiental - Institut de Seguretat Industrial, Radiofísica i Mediambiental es_ES
dc.description.bibliographicCitation Martí Calatayud, MC.; Vincent Vela, MC.; Alvarez Blanco, S.; Lora-García, J.; Bergantinos Rodríguez, E. (2010). Analysis and optimization of the influence of operating conditions in the ultrafiltration of macromolecules using a response surface methodological approach. Chemical Engineering Journal. 156(2):337-346. https://doi.org/10.1016/j.cej.2009.10.031 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1016/j.cej.2009.10.031 es_ES
dc.description.upvformatpinicio 337 es_ES
dc.description.upvformatpfin 346 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 156 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\39854 es_ES
dc.contributor.funder Ministerio de Educación y Ciencia es_ES


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