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Shear-driven circulation patterns in lipid membrane vesicles

Published online by Cambridge University Press:  16 April 2012

Francis G. Woodhouse  and
Raymond E. Goldstein
Francis G. Woodhouse
Affiliation:
Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK
Raymond E. Goldstein*
Affiliation:
Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK
*
†Email address for correspondence: R.E.Goldstein@damtp.cam.ac.uk
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Abstract

Recent experiments have shown that when a near-hemispherical lipid vesicle attached to a solid surface is subjected to a simple shear flow it exhibits a pattern of membrane circulation much like a dipole vortex. This is in marked contrast to the toroidal circulation that would occur in the related problem of a drop of immiscible fluid attached to a surface and subjected to shear. This profound difference in flow patterns arises from the lateral incompressibility of the membrane, which restricts the observable flows to those in which the velocity field in the membrane is two-dimensionally divergence free. Here we study these circulation patterns within the simplest model of membrane fluid dynamics. A systematic expansion of the flow field based on Papkovich–Neuber potentials is developed for general viscosity ratios between the membrane and the surrounding fluids. Comparison with experimental results (Vézy, Massiera & Viallat, Soft Matt., vol. 3, 2007, pp. 844–851) is made, and it is shown how such studies could allow measurements of the membrane viscosity. Issues of symmetry-breaking and pattern selection are discussed.

JFM classification

Biological Fluid Dynamics: Membranes Micro-/Nano-fluid dynamics: Micro-/Nano-fluid dynamics Low-Reynolds-number flows: Stokesian dynamics
Type
Papers
Information
Journal of Fluid Mechanics , Volume 705: Special issue dedicated to Professor T. J. Pedley on his 70th birthday , 25 August 2012 , pp. 165 - 175
Copyright
Copyright © Cambridge University Press 2012

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