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反应机理——采用统一反应谷方法进行探索。

Reaction mechanism - explored with the unified reaction valley approach.

作者信息

Kraka Elfi, Antonio Juliana J, Freindorf Marek

机构信息

Computational and Theoretical Chemistry Group (CATCO), Department of Chemistry, Southern Methodist University, 3215 Daniel Ave, Dallas, TX 75275-0314, USA.

出版信息

Chem Commun (Camb). 2023 Jun 8;59(47):7151-7165. doi: 10.1039/d3cc01576a.

Abstract

One of the ultimate goals of chemistry is to understand and manipulate chemical reactions, which implies the ability to monitor the reaction and its underlying mechanism at an atomic scale. In this article, we introduce the Unified Reaction Valley Approach (URVA) as a tool for elucidating reaction mechanisms, complementing existing computational procedures. URVA combines the concept of the potential energy surface with vibrational spectroscopy and describes a chemical reaction the reaction path and the surrounding reaction valley traced out by the reacting species on the potential energy surface on their way from the entrance to the exit channel, where the products are located. The key feature of URVA is the focus on the curving of the reaction path. Moving along the reaction path, any electronic structure change of the reacting species is registered by a change in the normal vibrational modes spanning the reaction valley and their coupling with the path, which recovers the curvature of the reaction path. This leads to a unique curvature profile for each chemical reaction, with curvature minima reflecting minimal change and curvature maxima indicating the location of important chemical events such as bond breaking/formation, charge polarization and transfer, rehybridization, A decomposition of the path curvature into internal coordinate components or other coordinates of relevance for the reaction under consideration, provides comprehensive insight into the origin of the chemical changes taking place. After giving an overview of current experimental and computational efforts to gain insight into the mechanism of a chemical reaction and presenting the theoretical background of URVA, we illustrate how URVA works for three diverse processes, (i) [1,3] hydrogen transfer reactions; (ii) α-keto-amino inhibitor for SARS-CoV-2 M; (iii) Rh-catalyzed cyanation. We hope that this article will inspire our computational colleagues to add URVA to their repertoire and will serve as an incubator for new reaction mechanisms to be studied in collaboration with our experimental experts in the field.

摘要

化学的最终目标之一是理解和操控化学反应,这意味着要有能力在原子尺度上监测反应及其潜在机制。在本文中,我们介绍统一反应谷方法(URVA),作为一种阐明反应机制的工具,以补充现有的计算程序。URVA将势能面的概念与振动光谱相结合,描述了一个化学反应——反应路径以及反应物种在势能面上从入口通道到出口通道(产物所在之处)的过程中所描绘出的周围反应谷。URVA的关键特征在于关注反应路径的弯曲。沿着反应路径移动时,反应物种的任何电子结构变化都会通过跨越反应谷的正常振动模式及其与路径的耦合变化而记录下来,这恢复了反应路径的曲率。这导致每个化学反应都有一个独特的曲率轮廓,曲率最小值反映最小变化,曲率最大值表明重要化学事件的位置,如键的断裂/形成、电荷极化和转移、重新杂化等。将路径曲率分解为内部坐标分量或与所考虑反应相关的其他坐标,能全面洞察所发生化学变化的起源。在概述了当前为深入了解化学反应机制所做的实验和计算工作,并介绍了URVA的理论背景之后,我们说明了URVA如何应用于三个不同的过程:(i)[1,3]氢转移反应;(ii)针对严重急性呼吸综合征冠状病毒2 M的α-酮氨基抑制剂;(iii)铑催化的氰化反应。我们希望本文能激励我们的计算领域同行将URVA纳入他们的方法库,并成为与该领域实验专家合作研究新反应机制的摇篮。

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