Mechanistic Study of the Carbonylation of Aziridines to β-Lactams: Alkylation, Solvent and Molecular NaBr and MgO Clusters Catalysts Effects

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2025-02-13 DOI:10.1002/jcc.70061
Abir Jendoubi, Mohamed Oussama Zouaghi, Youssef Arfaoui, Frédéric Guégan, Muneerah Mogren Al-Mogren, Majdi Hochlaf
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Abstract

Using first principles methodology, we show that molecular NaBr and MgO nanoclusters are efficient ecofriendly and transition metal free catalysts for the carbonylation of aziridines to β-lactams. Multi-step mechanisms are proposed, where the activation energies of the rate-determining step are strongly lowered compared to gas phase reaction, exhibiting, however, a unique step. Also, these reactions are viewed to be favored thermodynamically in the presence of these catalysts and also in solvents, in particular in methanol. We suggest thus the use of NaBr and MgO nanoclusters for these reactions. Besides, the present findings allow to explain the experimentally observed regioselectivity of carbonylation of aziridines reactions, where CO is added on the more substituted C of aziridine three-membered ring. In sum, our work should motivate the use of such ecofriendly catalysts for carbonylation reactions without using transition metal catalysts.

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氮丙啶羰基化至 β-内酰胺的机理研究:烷基化、溶剂及分子 NaBr 和 MgO 簇催化剂的影响
利用第一性原理方法,我们证明了分子NaBr和MgO纳米团簇是有效的生态友好和无过渡金属的催化剂,用于氮丙啶羰基化到β-内酰胺。提出了多步反应机理,其中速率决定步骤的活化能与气相反应相比大大降低,但显示出一个独特的步骤。此外,这些反应在催化剂和溶剂(特别是甲醇)的存在下,在热力学上更有利。因此,我们建议使用NaBr和MgO纳米团簇来进行这些反应。此外,本研究结果还解释了实验观察到的氮嘧啶羰基化反应的区域选择性,其中CO被添加到氮嘧啶三元环上取代的C上。总之,我们的工作应该激励在不使用过渡金属催化剂的情况下使用这种环保催化剂进行羰基化反应。
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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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