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

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Abir Jendoubi, Mohamed Oussama Zouaghi, Youssef Arfaoui, Frédéric Guégan, Muneerah Mogren Al-Mogren, Majdi Hochlaf
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Mechanistic Study of the Carbonylation of Aziridines to β-Lactams: Alkylation, Solvent and Molecular NaBr and MgO Clusters Catalysts Effects

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

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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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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