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Playing catch and release with single molecules: mechanistic insights into plasmon-controlled nanogaps

机译:使用单分子进行捕获和释放:对等离子体控制纳米间隙的机理见解

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摘要

Single-molecule (SM) detection is essential for investigating processes at the molecular level. Nanogap-based detection approaches have proven to be highly accurate SM capture and detection platforms in the last decade. Unfortunately, these approaches face several inherent drawbacks, such as short detection times and the effects of Brownian motion, that can hinder molecular capture. Nanogap-based SM detection approaches have been successfully coupled to optical-based setups to exploit nearfield-assisted trapping to overcome these drawbacks and thus improve SM capture and detection. Here we present the first mechanistic study of nearfield effects on SM capture and release in nanogaps, using unsupervised machine learning methods based on hidden Markov models. We show that the nearfield strength can manipulate the kinetics of the SM capture and release processes. With increasing field strength, the rate constant of the capture kinetics increase while the release kinetics decrease, favouring the former over the latter. As a result, the SM capture state is more likely and more stable than the release state above a specific threshold nearfild strength. We have also estimated the decrease in the capture free-energy profile and the increase in the release profiles to be around 5 kJ mol−1 for the laser powers employed, ranging from laser-OFF conditions to 11 mW μm−2. We envisage that our findings can be combined with the electrocatalytic capabilities of the (nearfield) nanogap to develop next-generation molecular nanoreactors. This approach will open the door to highly efficient SM catalysis with precise extended monitoring timescales facilitated through the longer residence times of the reactant trapped inside the nanogap.
机译:单分子(SM)检测是至关重要的调查过程在分子水平上。Nanogap-based检测方法已被证明SM是高度准确的捕获和检测平台在过去十年里。这些方法也面临着一些固有的缺陷,例如短检测时间和所带来的影响布朗运动,可以阻碍分子捕捉。已经成功地耦合optical-based吗设置利用nearfield-assisted捕获克服这些缺点,从而提高SM捕获和检测。机械的研究对SM近距离的影响nanogaps捕获和释放,使用基于无监督机器学习方法隐马尔科夫模型。SM的力量可以操纵动力学捕获和释放过程。磁场强度,捕获的速率常数动力学增加而释放动力学减少,倾向于前者在后者。因此,SM捕捉国家更有可能和更稳定的比上面的释放状态特定阈值nearfild力量。也估计减少捕获自由能形象和增加发布概要文件在5 kJ摩尔−1的激光的权力,从laser-OFF条件11兆瓦μm−2。研究结果可以结合的electrocatalytic功能(近距离)nanogap开发下一代分子nanoreactors。SM高效催化与精确扩展监测时间表了通过的居留时间越长反应物在nanogap困。

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