Farshadfar Kaveh, Laasonen Kari
Department of Chemistry and Material Science, School of chemical Engineering, Aalto University, 02150 Espoo, Finland.
ACS Catal. 2024 Sep 16;14(19):14486-14496. doi: 10.1021/acscatal.4c03368. eCollection 2024 Oct 4.
Lewis acidic boranes, especially tris(pentafluorophenyl)borane [B(CF)], have emerged as metal-free catalysts for carbene transfer reactions of α-diazocarbonyl compounds in a variety of functionalization reactions. The established mechanism for how borane facilitates carbene generation for these compounds in the scientific community is based on the formation of a B-O (C=O) intermediate (). Herein, we report an extensive DFT study that challenges the notion of a ubiquitous , revealing that B-C(=N=N) bond formation () for certain diazocarbonyl substrates proves to be the preferred pathway. This study elucidates, through the introduction of 22 various substituents on each side of the α-diazocarbonyl backbone, how the electron-donating and -withdrawing properties of substituents influence the competition between these B-O and B-C pathways. To elucidate the impact of the electronic features of diazo substrates on the competition between the O and C pathways in the studied dataset, we employed a machine learning approach based on the Random Forest model. This analysis revealed that substrates with higher electron density on the diazo-attached carbon, lower electron density on the carbonyl carbon, and more stable HOMO orbitals tend to proceed via . Furthermore, this study not only demonstrates that borane efficiency in facilitating N release is greatly affected by the nature of substituents on both sides of the α-diazocarbonyl functionality but also shows that for some substrates, borane is incapable of catalyzing the release of molecular nitrogen.
路易斯酸性硼烷,尤其是三(五氟苯基)硼烷[B(CF)],已成为无金属催化剂,用于多种官能化反应中α-重氮羰基化合物的卡宾转移反应。科学界中关于硼烷如何促进这些化合物生成卡宾的既定机制是基于B-O(C=O)中间体的形成()。在此,我们报告了一项广泛的密度泛函理论(DFT)研究,该研究对普遍存在的观点提出了挑战,揭示了对于某些重氮羰基底物,B-C(=N=N)键的形成()被证明是首选途径。通过在α-重氮羰基主链的每一侧引入22种不同的取代基,本研究阐明了取代基的供电子和吸电子性质如何影响这些B-O和B-C途径之间的竞争。为了阐明重氮底物的电子特征对研究数据集中O和C途径之间竞争的影响,我们采用了基于随机森林模型的机器学习方法。该分析表明,在与重氮相连的碳上具有较高电子密度、在羰基碳上具有较低电子密度且具有更稳定的最高占据分子轨道(HOMO)的底物倾向于通过 进行反应。此外,本研究不仅表明硼烷促进N释放的效率受到α-重氮羰基官能团两侧取代基性质的极大影响,还表明对于某些底物,硼烷无法催化分子氮的释放。