论文标题

通过大分子网络中棒状颗粒的滑动动力学的非常规传输

Unconventionally Fast Transport through Sliding Dynamics of Rodlike Particles in Macromolecular Networks

论文作者

Zhang, Xuanyu, Dai, Xiaobin, Habib, Md Ahsan, Xu, Ziyang, Gao, Lijuan, Chen, Wenlong, Wei, Wenjie, Tang, Zhongqiu, Qi, Xianyu, Gong, Xiangjun, Jiang, Lingxiang, Yan, Li-Tang

论文摘要

在大分子网络的限制环境中,棒状颗粒的运输在许多重要的生物过程和技术应用中起着至关重要的作用。相关的理解仅限于直径远小得多的薄棒,尽管相反的情况是,动态行为和潜在的物理机制尚不清楚,但无处不在。在这里,我们通过结合实验,模拟和理论来解决此问题。我们发现翻译扩散对杆长的非单调依赖性,其特征在于长度是交配的不常规快速动力学,这与薄棒的单调依赖性形成鲜明对比。我们的结果阐明了,具有网格大小的整体倍数的厚杆的快速扩散遵循滑动动力学,并将其证明为“异常但布朗尼”。此外,理论分析和模拟之间的良好一致性证实了滑动动力学是跳跃和布朗动力学之间的中间方向,并基于依赖杆长的熵自由能屏障提供了一种机械解释。这些发现产生了一个原理,即长度的重量,用于在大分子网络的密闭环境中具有高效运输的棒状颗粒的最佳设计,并且可能会丰富异质培养基中扩散动力学的物理学。

Transport of rodlike particles in confinement environments of macromolecular networks plays crucial roles in many important biological processes and technological applications. The relevant understanding has been limited to thin rods with diameter much smaller than network mesh size, although the opposite case, of which the dynamical behaviors and underlying physical mechanisms remain unclear, is ubiquitous. Here, we solve this issue by combining experiments, simulations and theory. We find a nonmonotonic dependence of translational diffusion on rod length, characterized by length commensuration-governed unconventionally fast dynamics which is in striking contrast to the monotonic dependence for thin rods. Our results clarify that such a fast diffusion of thick rods with length of integral multiple of mesh size follows sliding dynamics and demonstrate it to be "anomalous yet Brownian". Moreover, good agreement between theoretical analysis and simulations corroborates that the sliding dynamics is an intermediate regime between hopping and Brownian dynamics, and provides a mechanistic interpretation based on the rod-length dependent entropic free energy barrier. The findings yield a principle, that is, length commensuration, for optimal design of rodlike particles with highly efficient transport in confined environments of macromolecular networks, and might enrich the physics of the diffusion dynamics in heterogeneous media.

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