Wang Bo, Anthony Stephen M, Bae Sung Chul, Granick Steve
Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Proc Natl Acad Sci U S A. 2009 Sep 8;106(36):15160-4. doi: 10.1073/pnas.0903554106. Epub 2009 Jul 30.
We describe experiments using single-particle tracking in which mean-square displacement is simply proportional to time (Fickian), yet the distribution of displacement probability is not Gaussian as should be expected of a classical random walk but, instead, is decidedly exponential for large displacements, the decay length of the exponential being proportional to the square root of time. The first example is when colloidal beads diffuse along linear phospholipid bilayer tubes whose radius is the same as that of the beads. The second is when beads diffuse through entangled F-actin networks, bead radius being less than one-fifth of the actin network mesh size. We explore the relevance to dynamic heterogeneity in trajectory space, which has been extensively discussed regarding glassy systems. Data for the second system might suggest activated diffusion between pores in the entangled F-actin networks, in the same spirit as activated diffusion and exponential tails observed in glassy systems. But the first system shows exceptionally rapid diffusion, nearly as rapid as for identical colloids in free suspension, yet still displaying an exponential probability distribution as in the second system. Thus, although the exponential tail is reminiscent of glassy systems, in fact, these dynamics are exceptionally rapid. We also compare with particle trajectories that are at first subdiffusive but Fickian at the longest measurement times, finding that displacement probability distributions fall onto the same master curve in both regimes. The need is emphasized for experiments, theory, and computer simulation to allow definitive interpretation of this simple and clean exponential probability distribution.
我们描述了使用单粒子追踪的实验,其中均方位移与时间成正比(菲克型),然而位移概率分布并非如经典随机游走所预期的那样呈高斯分布,而是对于大位移而言明确呈指数分布,指数的衰减长度与时间的平方根成正比。第一个例子是胶体珠子沿着半径与珠子相同的线性磷脂双层管扩散。第二个例子是珠子在缠结的F - 肌动蛋白网络中扩散,珠子半径小于肌动蛋白网络网格尺寸的五分之一。我们探讨了与轨迹空间中动态异质性的相关性,这在关于玻璃态系统的讨论中已被广泛提及。第二个系统的数据可能表明在缠结的F - 肌动蛋白网络中的孔隙之间存在活化扩散,这与在玻璃态系统中观察到的活化扩散和指数尾部的情况类似。但第一个系统显示出异常快速的扩散,几乎与自由悬浮的相同胶体一样快,然而仍像第二个系统那样呈现指数概率分布。因此,尽管指数尾部让人联想到玻璃态系统,但实际上这些动力学过程异常快速。我们还将其与最初亚扩散但在最长测量时间呈菲克型的粒子轨迹进行了比较,发现位移概率分布在两种情况下都落在同一条主曲线上。强调了进行实验、理论研究和计算机模拟的必要性,以便对这种简单且清晰的指数概率分布做出明确解释。