Ard Shaun G, Viggiano Albert A, Shuman Nicholas S
Air Force Research Laboratory, Space Vehicles Directorate, Kirtland Air Force Base, Albuquerque, New Mexico 87117, United States.
J Phys Chem A. 2021 May 6;125(17):3503-3527. doi: 10.1021/acs.jpca.0c11395. Epub 2021 Apr 22.
We show how the powerful combination of temperature-dependent kinetics coupled with detailed statistical modeling can be used to derive dynamical information about transition state barrier heights, the importance of multiple entrance channel complexes, crossings between spin surfaces, energetics, product states, and other information for metal-ion reactions. The methods are not new, but with improved computers, ion sources, ion transport, and better detection techniques, the ability to derive such parameters from the combination of methods has improved greatly. Temperature-dependent kinetics is very sensitive to the above list of parameters because the energy is varied in a controlled way that can be easily modeled. The present measurements, performed in our variable-ion source temperature-adjustable selected-ion flow tube (VISTA-SIFT), have been enabled by advances in ion transport and injection improvements so that dim sources can be used. Replacing the quadrupole mass spectrometer detector with a time-of-flight mass spectrometer solved additional problems. Quantum chemical calculations have improved greatly and provide details about the surfaces, as well as frequencies, to use as starting points for the statistical modeling. For ion-molecule reactions, incorporation of both energy and angular momentum effects are important and we have developed an in-house computer program, based on the work of Juergen Troe, to rapidly compare statistical modeling predictions to the experimental data. As we show, modeling the kinetics data can often determine the most important parameters controlling the reactivity and deriving them is much simpler and usually more accurate than detailed ab initio calculations or dynamical modeling. Additionally, we show that even without statistical modeling, temperature-dependent rate constants as a function of metal anion cluster size can be used to show that such species react by the same mechanism as surfaces. In this review, we discuss reactions of metallic atomic ions, small metal oxide ions, mixed metal oxide ions, and a series of metallic anionic cluster reactions with small molecules such as CO, O, CO, NO, CH, and several other species. Particular attention was paid to reactions involving bond activation pertinent to catalysis.
我们展示了温度依赖动力学与详细统计建模的强大结合如何用于推导有关过渡态势垒高度、多个入口通道复合物的重要性、自旋表面之间的交叉、能量学、产物态以及金属离子反应的其他信息的动力学信息。这些方法并非新颖,但随着计算机、离子源、离子传输的改进以及更好的检测技术,通过这些方法的组合推导此类参数的能力有了极大提高。温度依赖动力学对上述参数列表非常敏感,因为能量是以可控方式变化的,易于建模。在我们的可变离子源温度可调选择离子流动管(VISTA-SIFT)中进行的当前测量,得益于离子传输和注入改进方面的进展,从而可以使用暗源。用飞行时间质谱仪取代四极杆质谱仪探测器解决了其他问题。量子化学计算有了很大改进,并提供了有关表面以及频率的详细信息,以用作统计建模的起点。对于离子-分子反应,纳入能量和角动量效应都很重要,我们基于于尔根·特罗伊的工作开发了一个内部计算机程序,以快速将统计建模预测与实验数据进行比较。正如我们所展示的,对动力学数据进行建模通常可以确定控制反应性的最重要参数,并且推导这些参数比详细的从头计算或动力学建模要简单得多,而且通常更准确。此外,我们表明,即使没有统计建模,作为金属阴离子簇大小函数的温度依赖速率常数也可用于表明此类物种与表面通过相同机制反应。在本综述中,我们讨论了金属原子离子、小金属氧化物离子、混合金属氧化物离子以及一系列金属阴离子簇与诸如CO、O、CO、NO、CH等小分子及其他几种物种的反应。特别关注了涉及与催化相关的键活化的反应。