两个丙炔基之间自反应的动力学和机理研究

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Tien V. Pham, Nghia T. Nguyen, Tran Thu Huong
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引用次数: 0

摘要

背景丙炔基在碳氢化合物燃烧、火焰合成和星际化学等各种化学过程中发挥着至关重要的作用。其独特的稳定性源于 π 电子的非局域化,这使得它尽管是一个自由基,却能参与多种反应。丙炔基的自反应是合成多环芳香烃的基本步骤。因此,本研究对 C3H3 + C3H3 势能面进行了细致的计算研究。计算结果表明,该反应可通过 H-萃取或两个丙炔基的加成反应发生。H-萃取机理可生成产物 P3(H2CCC + H3CCCH)和 P4(H2CCCH2 + HCCCH),但这两种 H-萃取途径的能垒非常高(从 12 kcal/mol 到 22 kcal/mol)。相比之下,由两个丙炔基形成中间产物(I1、I5、I12)和双分子产物(P1、P2、P7、P11、P12)的加成机制则占主导地位。在双分子产物中,P11(C6H4 + H2)产物在能量上是最有利的,与整个 PES 的所有其他路径相比,通向该产物的路径也是最优选的路径。本研究中计算出的各种反应路径的焓变与现有文献数据十分吻合,这表明 CCSD(T) 方法适用于标题反应。反应的总速率常数取决于温度和压力,随温度升高而降低,但随压力升高而升高。计算结果与现有的实验值和以前的计算数据非常吻合。因此可以肯定,除了在 Georgievskii 等人的研究(Phys. Chem. Chem. Phys., 2007, 9, 4259-4268)中应用的 CASPT2 方法外,CCSD(T) 方法也非常适合两个丙炔基的自反应。采用 VTST 和 RRKM 模型并对 H 移位步骤进行 Eckart 隧道校正,分别预测了 300-1800 K 和 0 - 76,000 Torr 温度和压力范围内主要反应路径的双分子速率常数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A kinetic and mechanistic study of the self-reaction between two propargyl radicals

A kinetic and mechanistic study of the self-reaction between two propargyl radicals

Context

The propargyl radical plays a critical role in various chemical processes, including hydrocarbon combustion, flame synthesis, and interstellar chemistry. Its unique stability arises from the delocalization of π-electrons, allowing it to participate in a wide range of reactions despite being a radical. The self-reaction of propargyl radicals is a fundamental step in synthesizing polycyclic aromatic hydrocarbons. In this work, therefore, a computational study into the C3H3 + C3H3 potential energy surface has been carefully characterized. The calculated results indicate that the reaction can occur by H-abstraction or addition of two propargyl radicals together. The H-abstraction mechanism can create the products P3 (H2CCC + H3CCCH) and P4 (H2CCCH2 + HCCCH) but the energy barriers of the two H-abstraction channels are very high (from 12 to 22 kcal/mol). In contrast, the addition mechanism of two propargyl radicals forming the intermediates (I1, I5, I12) and the bimolecular products (P1, P2, P7, P11, P12) are dominant. Among the bimolecular products, the P11 (C6H4 + H2) product is the most energetically favorable, and the channel leading to this product is also the most preferred path compared to all other paths throughout the PES. The calculated enthalpy changes of various reaction paths in this study are in good agreement with the available literature data, indicating that the CCSD(T) method is suitable for the title reaction. The overall rate constant of the reaction depends on both temperature and pressure, reducing with temperature but rising with pressure. The calculated results agree closely with the available experimental values ​​and previous calculated data. Thus, it can be affirmed that in addition to the CASPT2 method as applied in the study of Georgievskii et al. (Phys. Chem. Chem. Phys., 2007, 9, 4259–4268), the CCSD(T) method is also very good for the self-reaction of two propargyl radicals.

Methods

The M06-2X and CCSD(T) methods with the aug-cc-pVTZ basis set were used to optimize and calculate single-point energies for all species of the reaction. The bimolecular rate constants of the dominant reaction paths were predicted in the temperature and pressure ranges of 300–1800 K and 0 – 76,000 Torr, respectively, using the VTST and RRKM models with Eckart tunneling correction for the H-shift steps.

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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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