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. 2009 Aug;35(3):297-308.
doi: 10.1007/s10867-009-9169-5. Epub 2009 Jun 25.

Thermodynamics and dynamics of the formation of spherical lipid vesicles

Affiliations

Thermodynamics and dynamics of the formation of spherical lipid vesicles

Ernesto Hernández-Zapata et al. J Biol Phys. 2009 Aug.

Abstract

We propose a free energy expression accounting for the formation of spherical vesicles from planar lipid membranes and derive a Fokker-Planck equation for the probability distribution describing the dynamics of vesicle formation. We find that formation may occur as an activated process for small membranes and as a transport process for sufficiently large membranes. We give explicit expressions for the transition rates and the characteristic time of vesicle formation in terms of the relevant physical parameters.

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Figures

Fig. 1
Fig. 1
Schematic representation of vesicle formation from a planar membrane
Fig. 2
Fig. 2
Dimensionless free energy formula image as a function of θ for δ = 0.1, 1.8, 2.8, 4.1
Fig. 3
Fig. 3
a Dimensionless transition rate rp as a function of δ for different values of a = κb/kBT = 2, 15, 25, 50 at room temperature. The vertical lines indicate the limit of validity of the activation dynamics approximation. b Dimensionless transition rate rv as a function of δ for different values of a = 2, 5, 15, 25 at room temperature
Fig. 4
Fig. 4
Angle θ as a function of the dimensionless time τ = 2πκbαt for the following values of δ: 15, 25, and 60 obtained by solving numerically (21). The solid circles represent an analytical solution given in the text for δ = 15. The inset shows a log–log plot of vesicle formation time τc vs δ for δ = 10, 15, 25, 60, and 400. The slope of the straight line is ∼ − 1.07
Fig. 5
Fig. 5
Probability distribution P as a function of angle and dimensionless time τ obtained by numerically solving (13) with an initial condition given by a Gaussian distribution centered at θ = π. At short times (τ < 1), diffusion dominates, spreading the distribution. For times τ > 1, the drifting force dominates and the distribution becomes narrow close to θ = 0

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