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单分子反应的力-电导光谱学

Force-conductance spectroscopy of a single-molecule reaction.

作者信息

Mejía Leopoldo, Franco Ignacio

机构信息

Department of Chemistry , University of Rochester , Rochester , New York 14627-0216 , USA . Email:

Department of Physics , University of Rochester , Rochester , New York 14627-0216 , USA.

出版信息

Chem Sci. 2019 Jan 25;10(11):3249-3256. doi: 10.1039/c8sc04830d. eCollection 2019 Mar 21.

Abstract

We demonstrate how simultaneous measurements of conductance and force can be used to monitor the step-by-step progress of a mechanically-activated -to- isomerization single-molecule reaction, including events that cannot be distinguished using force or conductance alone. To do so, we simulated the force-conductance profile of cyclopropane oligomers connected to graphene nanoribbon electrodes that undergo a -to- isomerization during mechanical elongation. This was done using a combination of classical molecular dynamics simulation of the pulling using a reactive force field, and Landauer transport computations of the conductance with nonequilibrium Green's function methods. The isomerization events can be distinguished in both force and conductance profiles. However, the conductance profile during the mechanical elongation distinguishes between reaction intermediates that cannot be resolved using force. In turn, the force signals non-reactive deformations in the molecular backbone which are not visible in the conductance profile. These observations are shown to be robust to the choice of electrode and Hamiltonian model. The computations exemplify the potential of the integration of covalent mechanochemistry with molecular conductance to investigate chemical reactivity at the single-entity limit.

摘要

我们展示了如何通过同时测量电导和力来监测机械激活到异构化的单分子反应的逐步进展,包括仅使用力或电导无法区分的事件。为此,我们模拟了连接到石墨烯纳米带电极的环丙烷低聚物在机械拉伸过程中发生异构化时的力-电导曲线。这是通过使用反应力场对拉伸进行经典分子动力学模拟,并结合非平衡格林函数方法进行电导的朗道尔输运计算来实现的。异构化事件在力和电导曲线中都可以区分。然而,机械拉伸过程中的电导曲线区分了仅用力无法分辨的反应中间体。反过来,力信号显示了分子主链中的非反应性变形,这在电导曲线中是不可见的。这些观察结果表明,它们对电极和哈密顿模型的选择具有鲁棒性。这些计算例证了共价机械化学与分子电导相结合在单实体极限下研究化学反应性的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad5/6429593/075ad934cab9/c8sc04830d-f2.jpg

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