2007
DOI: 10.1021/jp0675375
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Thermokinetic Approach of Single Particles and Clusters Involving Anomalous Diffusion under Viscoelastic Response

Abstract: We present a thermokinetic description of anomalous diffusion of single particles and clusters in a viscoelastic medium in terms of a non-Markovian diffusion equation involving memory functions. The scaling behavior of these functions is analyzed by considering hydrodynamics and cluster-size space random walk arguments. We explain experimental results on diffusion of Brownian particles in the cytoskeleton, in cluster-cluster aggregation, and in a suspension of micelles.

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Cited by 35 publications
(54 citation statements)
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“…The elastic forces confine the vesicles in the cluster with a frequencythat characterizes the magnitude of the force through its relationship with the effective elastic constant k of the cytoskeleton [26][27]. At rest, when the velocity v =  0 , the vesicle cluster mobilization is restricted by the elastic forces to an internal region of the neuron, defined here as an initial position r 0 , i , where i denotes the i th vesicle.…”
Section: Methodsmentioning
confidence: 99%
“…The elastic forces confine the vesicles in the cluster with a frequencythat characterizes the magnitude of the force through its relationship with the effective elastic constant k of the cytoskeleton [26][27]. At rest, when the velocity v =  0 , the vesicle cluster mobilization is restricted by the elastic forces to an internal region of the neuron, defined here as an initial position r 0 , i , where i denotes the i th vesicle.…”
Section: Methodsmentioning
confidence: 99%
“…3, is weaker than in suspensions of linear objects, for which G 0 ) G 00 [9,26,27]. This suggests that the suspected protein chains are held by weak forces.…”
mentioning
confidence: 97%
“…This viscoelasticity is interpreted as entrapment of the probe particles by the network of linear objects at short times, when the elastic response stems from interactions with the flexible chains. At long times, the characteristic dimensions of particles motion are longer than the characteristic spacing of the network and particle motion is not affected by the network [9,27].…”
mentioning
confidence: 99%
“…One systematic way of dealing with these types of memory effects is to replace the first order time derivative in the conventional hydrodynamic (transport) equations by a fractional time derivative which is interpreted as the memory or the after-effect of the underlying stochastic process [14]. These effects on correlation functions have been studied for some complex fluids [9,14,15].…”
Section: Introductionmentioning
confidence: 99%