4.8 Article

A Doubly Kinetically-Gated Information Ratchet Autonomously Driven by Carbodiimide Hydration

期刊

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
卷 143, 期 11, 页码 4414-4420

出版社

AMER CHEMICAL SOC
DOI: 10.1021/jacs.1c01172

关键词

-

资金

  1. Engineering and Physical Sciences Research Council (EPSRC) [EP/P027067/1]
  2. European Research Council (ERC Advanced Grant) [786630]
  3. EPSRC [EP/P027067/1] Funding Source: UKRI
  4. European Research Council (ERC) [786630] Funding Source: European Research Council (ERC)

向作者/读者索取更多资源

The study introduces a novel rotaxane-based information ratchet powered by a carbodiimide fuel, driving the macrocycle distribution away from equilibrium. The reaction harnesses energy through kinetic differentiation of mechanical states and achieve directional motion of the macrocycle driven by catalysis.
We report a rotaxane-based information ratchet in which the macrocycle distribution is pumped away from equilibrium using a carbodiimide fuel. A carboxylate group on the axle, nonequidistant between two macrocycle binding sites, efficiently catalyzes the hydration of a carbodiimide fuel to the corresponding urea waste, with >80% of the fuel molecules reacting through the machine-catalyzed pathway. The energy of the reaction is harnessed by kinetic differentiation of the mechanical states of the machine driving the macrocycle to the binding site distal to the catalyst. Steric hindrance between the macrocycle and the fuel slows the reaction of the carboxylate group (to form a barrier to macrocycle movement) in the proximal co-conformer, whereas hydrogen bonding between the macrocycle and the barrier accelerates hydrolysis of the activated ester proximal isomer. The two directionally biased processes reinforce each other's effect, resulting in a doubly kinetically gated ratchet that achieves 1:18 directionality, an exceptional degree of selectivity for a synthetic chemically fueled molecular motor.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据