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单粒子追踪数据揭示了拥挤流体中的反相关分数布朗运动。

Single-particle tracking data reveal anticorrelated fractional Brownian motion in crowded fluids.

作者信息

Weiss Matthias

机构信息

Experimental Physics I, University of Bayreuth, Universitätsstrasse 30, D-95440 Bayreuth, Germany.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Jul;88(1):010101. doi: 10.1103/PhysRevE.88.010101. Epub 2013 Jul 8.

Abstract

Anomalous diffusion with a sublinear growth of the particles' mean-square displacement (subdiffusion) has been observed frequently in crowded fluids, e.g., in the cytoplasm of living cells or in artificial solutions. Based on a recently reported set of single-particle tracking data, it is shown here that trajectories of nanoparticles immersed in artificial crowded fluids display all signatures of anticorrelated fractional Brownian motion. Moreover, the trajectories' power spectrum follows a scaling that reports on the fluid's viscoelasticity. Macromolecular crowding therefore renders fluids viscoelastic which in turn leads to subdiffusion of immersed tracer particles with all the characteristics of fractional Brownian motion.

摘要

在拥挤流体中,例如活细胞的细胞质或人工溶液中,经常观察到粒子均方位移呈亚线性增长的反常扩散(亚扩散)。基于最近报道的一组单粒子跟踪数据,本文表明,浸没在人工拥挤流体中的纳米粒子轨迹呈现出反相关分数布朗运动的所有特征。此外,轨迹的功率谱遵循一种反映流体粘弹性的标度关系。因此,大分子拥挤使流体具有粘弹性,进而导致浸没的示踪粒子出现具有分数布朗运动所有特征的亚扩散。

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