1996
DOI: 10.1016/0376-7388(96)00112-3
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Mobility of protein through a porous membrane

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Cited by 54 publications
(49 citation statements)
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“…Both these factors are functions of the ratio of the solute radius to pore radius, [20], [21], [14], [30], [38]. The model treats the pores as perfectly cylindrical and the solutes as perfect hard spheres [39] [40] [41]. …”
Section: Historical Development Of the Dspm-de Modelmentioning
confidence: 99%
“…Both these factors are functions of the ratio of the solute radius to pore radius, [20], [21], [14], [30], [38]. The model treats the pores as perfectly cylindrical and the solutes as perfect hard spheres [39] [40] [41]. …”
Section: Historical Development Of the Dspm-de Modelmentioning
confidence: 99%
“…13 Numerical simulations were carried out by Higdon and Muldowney 16 who also fit their results to provide an analytical expression for G(X). Dechadilok and Deen 17 used this expression to determine radially averaged hindrance factors as a function of relative particle size which were in excellent agreement with the expression developed by Ennis et al 15 Anderson 11 theoretically examined the transport of capsule shaped particles in a cylindrical pore by considering only configurational effects (i.e., G(X, w) 5 1 was assumed for all particle positions and orientations). The rejection coefficient for a capsule-shaped particle was predicted to be larger (higher removals) than for a spherical particle with equivalent volume, with rejection coefficient increasing as particle aspect ratio increases.…”
Section: Introductionmentioning
confidence: 58%
“…Ennis et al 15 used a Pad e approximation to combine the small particle expression developed by Brenner and Gaydos 14 with a large particle expression developed by Bungay and Brenner. 13 Numerical simulations were carried out by Higdon and Muldowney 16 who also fit their results to provide an analytical expression for G(X).…”
Section: Introductionmentioning
confidence: 99%
“…Among these vast studies, Ennis, Keh and Anderson have contributed massive fundamental works on mathematic modeling, provided various clues for further understanding of the membrane-based electrophoresis. Particularly the assumptions described in Ennis et al work [39] are most closed to the reality of our membrane-based electrophoresis. By assuming a thick double layer, an analytical expression of translation velocity (u) of a charged particle through a charged cylindrical pore was proposed by Ennis et al [39].…”
Section: Boundary Effects Of the Membranementioning
confidence: 99%
“…Particularly the assumptions described in Ennis et al work [39] are most closed to the reality of our membrane-based electrophoresis. By assuming a thick double layer, an analytical expression of translation velocity (u) of a charged particle through a charged cylindrical pore was proposed by Ennis et al [39]. Their studies clearly demonstrated that the mass transfer through a membrane-based electrophoresis is determined by the surface z-potentials (of both particles and membrane pores), pore sizes, particle size, buffer concentration and undisturbed applied electric field E N , as shown in Eq.…”
Section: Boundary Effects Of the Membranementioning
confidence: 99%