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Prediction of permeate flux during osmotic pressure-controlled electric field-enhanced cross-flow ultrafiltration.
Sarkar, Biswajit; DasGupta, Sunando; De, Sirshendu.
Afiliación
  • Sarkar B; Department of Chemical Engineering, Indian Institute of Technology, Kharagpur 721 302, India.
J Colloid Interface Sci ; 319(1): 236-46, 2008 Mar 01.
Article en En | MEDLINE | ID: mdl-18068719
Electric field-enhanced cross-flow ultrafiltration has been carried out to separate protein, bovine serum albumin, from aqueous solution using a 30,000 molecular weight cutoff membrane. A theoretical model is developed to predict permeate flux under a laminar flow regime including the effects of external d.c. electric field and suction through the membrane for osmotic pressure-controlled ultrafiltration. The governing equations of the concentration profile in the developing mass transfer boundary layer in a rectangular channel are solved using a similarity solution method. The effect of d.c. electric field on the variation of membrane surface concentration and permeate flux along the length of the channel is quantified using this model. The expression of Sherwood number relation for estimation of mass transfer coefficient is derived. The analysis revealed that there is a significant effect of electric field on the mass transfer coefficient. A detailed parametric study has been carried out to observe the effect of feed concentration, electric field, cross-flow velocity, and pressure on the permeate flux. For 1 kg/m3 BSA solution, by applying a d.c. electric field of 1000 V/m, the permeate flux increases from 42 to 98 L/m2 h compared to that with zero electric field. The experimental results are successfully compared with the model predicted results.
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Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Colloid Interface Sci Año: 2008 Tipo del documento: Article País de afiliación: India
Buscar en Google
Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Colloid Interface Sci Año: 2008 Tipo del documento: Article País de afiliación: India