An improved model with time-dependent adsorption for simulating protein ultrafiltration

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Título: An improved model with time-dependent adsorption for simulating protein ultrafiltration
Autor/es: Ruiz Beviá, Francisco | Gomis Yagües, Vicente | Fernández Sempere, Julio | Fernandez-Torres, Maria J.
Grupo/s de investigación o GITE: Transferencia de Materia - Interferometría Holográfica
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Ingeniería Química
Palabras clave: Simulation model | Ultrafiltration | Adsorption | Protein
Área/s de conocimiento: Ingeniería Química
Fecha de publicación: jul-1997
Editor: Elsevier
Cita bibliográfica: RUIZ BEVIÁ, Francisco, et al. “An improved model with time-dependent adsorption for simulating protein ultrafiltration”. Chemical Engineering Science. Vol. 52, Issue 14 (July 1997). ISSN 0009-2509, pp. 2343-2352
Resumen: In a recent paper, Gekas et al. (Chem. Engng Sci. 48, 2753-2765) presented a theoretical approach to study the adsorption interplay in protein ultrafiltration. The model is based on transient mass transfer in the boundary layer and introduces as a novelty the kinetics of adsorption on the wall boundary of the membrane, an approach basically different from that of semi-empirical models currently employed. The model used two independent kinetic equations: one for the quantity adsorbed at a given time (Ca) and the other for the additional resistance due to adsorption (Rad). The aim of this paper is to develop and to improve this model, but keeping Gekas' valuable new approach. First, a critical review of the model is made, correcting the problem statement but maintaining the two independent kinetic equations formulated. Second, the model has been modified and improved, using a unique kinetic equation for the adsorbed amount of protein, which allows the hydraulic resistance due to the adsorption to be calculated directly. Results obtained with this improved model are compared with those of Gekas et al. The behaviour of fluxes, wall concentration and concentration profiles predicted by the improved model are explained more coherently.
Patrocinador/es: Support was provided by a DGICyT (Dirección General de Investigación Científica y Técnica) grant (PS 88-0063) from the Ministerio de Educación y Ciencia (Spain).
URI: http://hdl.handle.net/10045/2739
ISSN: 0009-2509
DOI: 10.1016/S0009-2509(97)00052-3
Idioma: eng
Tipo: info:eu-repo/semantics/article
Revisión científica: si
Versión del editor: http://dx.doi.org/10.1016/S0009-2509(97)00052-3
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