Computational exploration of the copper(I)-catalyzed conversion of hydrazones to dihalogenated vinyldiazene derivatives

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2024-05-17 DOI:10.1002/jcc.27433
Ulviyya Askerova, Yusif Abdullayev, Namiq Shikhaliyev, Abel Maharramov, Valentine G. Nenajdenko, Jochen Autschbach
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Abstract

This computational study explores the copper (I) chloride catalyzed synthesis of (E)-1-(2,2-dichloro-1-phenylvinyl)-2-phenyldiazene (2Cl-VD) from readily available hydrazone derivative and carbon tetrachloride (CCl4). 2Cl-VD has been extensively utilized to synthesize variety of heterocyclic organic compounds in mild conditions. The present computational investigations primarily focus on understanding the role of copper (I) and N1,N1,N2,N2-tetramethylethane-1,2-diamine (TMEDA) in this reaction, TMEDA often being considered a proton scavenger by experimentalists. Considering TMEDA as a ligand significantly alters the energy barrier. In fact, it is only 8.3 kcal/mol higher compared to the ligand-free (LF) route for the removal of a chlorine atom to form the radical ·CCl3 but the following steps are almost barrierless. This intermediate then participates in attacking the electrophilic carbon in the hydrazone. Crucially, the study reveals that the overall potential energy surface is thermodynamically favorable, and the theoretical turnover frequency (TOF) value is higher in the case of Cu(I)-TMEDA complex catalyzed pathway.

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铜(I)催化的酰肼向二卤化乙烯基二氮烯衍生物转化的计算探索
本计算研究探讨了在氯化铜 (I) 催化下,利用现成的腙衍生物和四氯化碳 (CCl4) 合成 (E)-1-(2,2-二氯-1-苯基乙烯基)-2-苯基二氮烯 (2Cl-VD)。2Cl-VD 已被广泛用于在温和条件下合成各种杂环有机化合物。目前的计算研究主要侧重于了解铜 (I) 和 N1,N1,N2,N2-四甲基乙烷-1,2-二胺 (TMEDA) 在该反应中的作用,TMEDA 通常被实验人员视为质子清除剂。将 TMEDA 作为配体会显著改变能垒。事实上,与去除一个氯原子形成自由基 -CCl3 的无配体(LF)途径相比,它只高出 8.3 kcal/mol,但接下来的步骤几乎是无障碍的。该中间体随后参与攻击腙中的亲电碳。重要的是,研究发现,在 Cu(I)-TMEDA 复合物催化的途径中,整个势能面在热力学上是有利的,理论周转频率 (TOF) 值也更高。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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