121 research outputs found
Fixed-density boundary conditions in overdamped Langevin simulations of diffusion in channels
We consider the numerical integration of Langevin equations for particles in a channel, in the presence of boundary conditions fixing the concentration values at the ends. This kind of boundary condition appears for instance when considering the diffusion of ions in molecular channels, between the different concentrations at both sides of the cellular membrane. For this application the overdamped limit of Brownian motion (leading to a first order Langevin equation) is most convenient, but in previous works some difficulties associated with this limit were found for the implementation of the boundary conditions. We derive here an algorithm that, unlike previous attempts, does not require the simulation of particle reservoirs or the consideration of velocity variables or adjustable parameters. Simulations of Brownian particles in simple cases show that results agree perfectly with theory, both for the local concentration values and for the resulting particle flux in nonequilibrium situations. The algorithm is appropriate for the modeling of more complex ionic channels and, in general, for the treatment of analogous boundary conditions in other physical models using first order Langevin equations.Peer ReviewedPostprint (author's final draft
Physical properties of voltage gated pores
Experiments on single ionic channels have contributed to a large extent to our current view on the function of cell membrane. In these experiments the main observables are the physical quantities: ionic concentration, membrane electrostatic potential and ionic fluxes, all of them presenting large fluctuations. The classical theory of Goldman–Hodking–Katz assumes that an open channel can be well described by a physical pore where ions follow statistical physics. Nevertheless real molecular channels are active pores with open and close dynamical states. By skipping the molecular complexity of real channels, here we present the internal structure and calibration of two active pore models. These models present a minimum set of degrees of freedom, specifically ion positions and gate states, which follow Langevin equations constructed from a unique potential energy functional and by using standard rules of statistical physics. Numerical simulations of both models are implemented and the results show that they have dynamical properties very close to those observed in experiments of Na and K molecular channels. In particular a significant effect of the external ion concentration on gating dynamics is predicted, which is consistent with previous experimental observations. This approach can be extended to other channel types with more specific phenomenology.Peer ReviewedPostprint (published version
Oscillatory Instabilities in Directional Solidification with Solutal Convection. Transient Regime
Peer ReviewedPostprint (published version
Periodic spiking by a pair of ionic channels
Neuronal cells present periodic trains of localized voltage spikes involving a large amount of different ionic channels. A relevant question is whether this is a cooperative effect or it could also be an intrinsic property of individual channels. Here we use a Langevin formulation for the stochastic dynamics of a pair of Na and K ionic channels. These two channels are simple gated pore models where a minimum set of degrees of freedom follow standard statistical physics. The whole system is totally autonomous without any external energy input, except for the chemical energy of the different ionic concentrations across the membrane. As a result it is shown that a unique pair of different ionic channels can sustain membrane potential periodic spikes. The spikes are due to the interaction between the membrane potential, the ionic flows and the dynamics of the internal parts (gates) of each channel structures. The spike involves a series of dynamical steps being the more relevant one the leak of Na ions. Missing spike events are caused by the altered functioning of specific model parts. The time dependent spike structure is comparable with experimental data.This work was supported by the Ministerio de Economia y Competividad (Spain) and FEDER (European
Union), under projects FIS2015-66503-C01-P2/P3 and by
the Generalitat de Catalunya Projects 2009SGR14 and
2014SGR878Peer ReviewedPreprin
Molecular Na-channel excitability from statistical physics
The excitable properties of the neural cell membrane is the driving mechanism of the neural pulses. Coordinated ionic fluxes across Na and K channels are the devices responsible of this function. Here we present a simple microscopic physical scenario which accounts for this phenomenology. The main elements are ions and channel doors that obey the standard formulation of statistical physics (overdamped Langevin equations) with appropriate nonlinear interacting potentials. From these equations we obtain the ionic flux and the dynamics of the membrane potential. We show that the excitable properties of the membrane are present in a single and simple Na channel. From this framework, additional microscopic information can be obtained, such as statistics of single-channels dynamics or the energetics of action potential events.Peer ReviewedPostprint (author’s final draft
Spatial structure and velocity fluctuations in turbulent bubble jets in microgravity
We study the dynamics of turbulent jets of bubbles created
by the injection of a slug flow into a quiescent cavity, both
theoretically and experimentally using data from drop tower
experiments. The generated bubble jets exhibit a remarkably
low degree of coalescence leading to virtually monodisperse
suspensions of spherical bubbles. The turbulence of the jet is
responsible for the spatial spreading of the bubble distribution
in roughly conical jets. We propose a stochastic model for the
dispersion of bubbles in the jet, in which the trajectories of individual
bubbles can be computed from the stationary solution
of a k-epsilon model. Bubble concentration behaves to a good
approximation as a passive scalar with a non-homogeneous
diffusion. Numerical integration of the model compares well
with the experimental data.Peer ReviewedPostprint (published version
Monodisperse bubble suspensions in turbulent flows in microgravity. Drop Tower experiments
Peer ReviewedPostprint (published version
Transitions between symmetric and nonsymmetric regimes in binary-mixture convection
We present here a comprehensive picture of the different bifurcations found for small to moderate Rayleigh number in binary-mixture convection with lateral heating and negative separation ratio (S). The present work connects the symmetric regime found for pure fluid (S=0)[Mercader et al 2005] with the fundamentally nonsymmetric regime found for S=-1 [Meca et al 2004a-2004b]. We give a global context as well as an interpretation for the different associations of bifurcations found, and in particular we interpret an association of codimension-two bifurcations in terms of a higher codimension
bifurcation never found, to our knowledge, in the study of an extended system.Postprint (author’s final draft
Generation and control of monodisperse bubble suspensions in microgravity
A new experimental setup for the generation of homogeneous, monodisperse bubble suspensions in turbulent duct flows in microgravity has been designed and tested in drop tower experiments. The setup provides independent control of bubble size, void fraction and degree of turbulence. The device combines several slug-flow injectors that produce monodisperse bubble jets, with a turbulent co-flow that ensures homogeneous spatial spreading. Bubble separation in the scale of the most energetic eddies of the flow, and bubble size sufficiently smaller, ensure that turbulence is most efficient as a mechanism for spatial spreading of bubbles while preventing coalescence, thus optimizing the homogeneous and monodisperse character of the suspension. The setup works in a regime for which bubbles are spherical, but sufficiently large compared to the turbulent dissipative scales to allow for two-way coupling between bubbles and carrying flow. The volume fraction is kept relatively small to facilitate particle tracking techniques. To illustrate the potential uses of the method we characterize the statistics of bubble velocity fluctuations in steady regimes and we characterize the transient relaxation of the buoyancy-driven pseudo-turbulence when gravity is switched-off.We acknowledge the support from ESA for the funding of the drop tower experiments that provided the raw data analyzed and the ZARM crew, in particular to Dieter Bischoff, for their valuable support all along the experiments and their hospitality. We acknowledges financial support from Ministerio de Economia y Competividad (Spain) under projects FIS2013-41144-P, FIS2016-78507-C2-2-P (J.C.), FIS2015-66503-C3-2-P (L.R.-P., also financed by FEDER, European Union), ESP2014-53603-P (X.R.), and Generalitat de Catalunya under projects 2014-SGR-878 (J.C.), 2014-SGR-365 (X.R.). P.B. acknowledges Ministerio de Ciencia y Tecnología (Spain) for a pre-doctoral fellowshipPreprin
Bubble dynamics in turbulent duct flows: Lattice-Boltzmann simulations and drop tower experiments
Lattice-Boltzmann simulations of a turbulent duct flow have been carried out to obtain trajectories of passive tracers in the conditions of a series of microgravity experiments of turbulent bubble suspensions. The statistics of these passive tracers are compared to the corresponding measurements for single-bubble and bubble-pair statistics obtained from particle tracking techniques after the high-speed camera recordings from drop-towers experiments. In the conditions of the present experiments, comparisons indicate that experimental results on bubble velocity fluctuations are not consistent with simulations of passive tracers, which points in the direction of an active role of bubbles. The present analysis illustrates the utility of a recently introduced experimental setup to generate controlled turbulent bubble suspensions in microgravity.Peer ReviewedPostprint (author's final draft
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