Brownian motion of particles embedded in a solution of giant micelles

Bellour, M.; Skouri, M.; Munch, J. P.; Hébraud, Pascal

doi:10.1140/epje/i2002-10026-0

Cited by 72 publications

(99 citation statements)

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“…Experiments using diffusing wave spectroscopy [60,61] and singleparticle tracking [25] revealed that the immersed particles exhibit three distinct diffusive behaviors in different time windows. It was shown that particles surrounded by the micellar network undergo a Brownian diffusion at short (sub-milliseconds) times until they engage with the caging effects of the micellar network, while at later times (milliseconds to sub-seconds) one observes a seemingly confined Brownian motion.…”

Section: B Time-averaged Mean Squared Displacementmentioning

confidence: 99%

Noisy continuous time random walks

Jeon

Barkai

Metzler

2013

The Journal of Chemical Physics

126

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Experimental studies of the diffusion of biomolecules in the environment of biological cells are routinely confronted with multiple sources of stochasticity, whose identification renders the detailed data analysis of single molecule trajectories quite intricate. Here we consider subdiffusive continuous time random walks, that represent a seminal model for the anomalous diffusion of tracer particles in complex environments. This motion is characterized by multiple trapping events with infinite mean sojourn time. In real physical situations, however, instead of the full immobilization predicted by the continuous time random walk model, the motion of the tracer particle shows additional jiggling, for instance, due to thermal agitation of the environment. We here present and analyze in detail an extension of the continuous time random walk model. Superimposing the multiple trapping behavior with additive Gaussian noise of variable strength, we demonstrate that the resulting process exhibits a rich variety of apparent dynamic regimes. In particular, such noisy continuous time random walks may appear ergodic while the naked continuous time random walk exhibits weak ergodicity breaking. Detailed knowledge of this behavior will be useful for the truthful physical analysis of experimentally observed subdiffusion.

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Section: B Time-averaged Mean Squared Displacementmentioning

confidence: 99%

Noisy continuous time random walks

Jeon

Barkai

Metzler

2013

The Journal of Chemical Physics

126

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“…In the circumstances, the data of MSD in region III (or long t dec ) plays a more significant role in the calculation compared with that in other regions. 28,29,41,42 Solid-liquid balance (SLB) parameter, i.e., the slope of MSD between 2.5 ms and 1.5 s of decorrelation time, characterizes ratio between solid-(SLB=0) and liquid-like (SLB≥1) behaviors of the specimen. [27][28][29][40][41][42] EI, MVI, and SLB are shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

Microrheology of magnetorheological silicone elastomers during curing process under the presence of magnetic field

Zhang

Song

et al. 2017

AIP Advances

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A microrheological method is employed for the first time to continuously and undisturbedly monitor variations of viscoelasticity of magnetorheological elastomers (MREs) based on silica-coated carbonyl iron particles (SiCIPs)-filled silicone during the curing process. Results indicate that the elasticity of MREs dramatically increases with increasing magnetic field intensity, which is much more significant in comparison with the slow process of silicone curing at 25 % and 40 % SiCIPs. The formations of chain-like structure of SiCIPs and cured network of silicone are recognized, both contributing to the rheology of MREs, suggesting the possibility of developing a facile method for adjusting the rheology and fixing the structure of a wide range of MREs by applying magnetic field during the curing of matrix.

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“…At intermediate times the MSD increase slows down considerably while at longer times the normal linear increase is reached again. This is a typical behavior of particle probes in worm-like micelle solution [32] [34].…”

Section: Resultsmentioning

confidence: 99%

“…Following the model outlined in Refs [34] [35]. The MSD corrected for multi-exponential relaxation times evolves in time as:…”

Section: Resultsmentioning

confidence: 99%

Microrheology and Release Behaviors of Self-Assembled Steroid Hydrogels

Liang¹,

Guman-Sepulveda²,

He³

et al. 2015

MSCE

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A hydrogel is formed by the self-assembly of sodium deoxycholate (NaDC) in aqueous solution with sodium chloride at pH-7.0. The NaDC hydrogel made of the three-dimensional network of nanofibers shows pH-dependent swelling behaviors. Polystyrene particles with a diameter of 100 nm and doxorubicin hydrochloride (DOX) can be easily loaded into the NaDC hydrogel through swelling. By using the loaded polystyrene particles as a light scattering probe, we study the microrheology of the NaDC hydrogel, showing complex viscoelastic properties. The viscous component dominates at both low and high frequencies, while the elastic component dominates in the intermediate range. The cavity size of the nanofiber network can also be estimated to be ~180 nm. We show that the loaded DOX can be slowly released from the hydrogels into aqueous solution. The release profile of DOX is found to depend on the pH value of the solution.

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Brownian motion of particles embedded in a solution of giant micelles

Cited by 72 publications

References 0 publications

Noisy continuous time random walks

Noisy continuous time random walks

Microrheology of magnetorheological silicone elastomers during curing process under the presence of magnetic field

Microrheology and Release Behaviors of Self-Assembled Steroid Hydrogels

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