Hou Ruizheng, Wang Zhisong
Department of Physics, National University of Singapore, Singapore 117542 and Center for Computational Science and Engineering, National University of Singapore, Singapore 117542.
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Aug;88(2):022703. doi: 10.1103/PhysRevE.88.022703. Epub 2013 Aug 8.
Quantitative understanding of the best possible performance of nanomotors allowed by physical laws pertains to the study of nanomotors from biology as well as nanotechnology. The biological nanomotor F(1) ATPase is the best available model system as it is the only nanomotor known for extreme energy conversion near the limit of energy conservation. Using a unified theoretical framework centered on a concept called directional fidelity, we analyze recent experiments in which the F(1) motor's performance was measured for controlled chemical potentials and expose from the experiments quantitative evidence for the motor's multiple extreme performances in directional fidelity, speed, and catalytic capability close to physical limits. Specifically, the motor nearly exhausts the available energy from the fuel to retain the highest possible directional fidelity for an arbitrary load, encompassing the motor's extreme energy conversion and beyond. The theory-experiment comparison implies a tight chemomechanical coupling up to stalemate as futile steps occur, but unlikely involve fuel consumption. The F(1)-motor data also help clarify the relation between directional fidelity and experimentally measured stepping ratio.
从物理定律所允许的纳米马达最佳性能的定量理解,涉及到对来自生物学以及纳米技术的纳米马达的研究。生物纳米马达F(1)ATP酶是现有的最佳模型系统,因为它是唯一已知的在能量守恒极限附近进行极端能量转换的纳米马达。我们使用一个以方向保真度这一概念为核心的统一理论框架,分析了最近的一些实验,在这些实验中测量了F(1)马达在受控化学势下的性能,并从实验中揭示了该马达在方向保真度、速度和催化能力方面接近物理极限的多种极端性能的定量证据。具体而言,该马达几乎耗尽了燃料中的可用能量,以在任意负载下保持尽可能高的方向保真度,涵盖了马达的极端能量转换及其他情况。理论与实验的比较表明,在出现无效步骤直至僵持状态时,存在紧密的化学机械耦合,但不太可能涉及燃料消耗。F(1)马达的数据也有助于阐明方向保真度与实验测量的步频比之间的关系。