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氧化还原自适应氮烯转移催化剂对底物需求。

Redox Self-Adaptation of a Nitrene Transfer Catalyst to the Substrate Needs.

机构信息

Univ. Grenoble Alpes, CNRS UMR 5249, CEA, LCBM/pmb, 38000, Grenoble, France.

Univ. Grenoble Alpes, CNRS UMR 5819, CEA, SyMMES, 38000, Grenoble, France.

出版信息

Angew Chem Int Ed Engl. 2017 Apr 3;56(15):4305-4309. doi: 10.1002/anie.201612472. Epub 2017 Mar 15.

Abstract

The development of iron catalysts for carbon-heteroatom bond formation, which has attracted strong interest in the context of green chemistry and nitrene transfer, has emerged as the most promising way to versatile amine synthetic processes. A diiron system was previously developed that proved efficient in catalytic sulfimidations and aziridinations thanks to an Fe Fe active species. To deal with more demanding benzylic and aliphatic substrates, the catalyst was found to activate itself to a Fe Fe L active species able to catalyze aliphatic amination. Extensive DFT calculations show that this activation event drastically enhances the electron affinity of the active species to match the substrates requirements. Overall this process consists in a redox self-adaptation of the catalyst to the substrate needs.

摘要

铁催化剂在碳杂原子键形成方面的发展,在绿色化学和氮烯转移的背景下引起了强烈的兴趣,这已成为多功能胺合成工艺最有前途的方法。以前开发的双铁体系在催化磺酰亚胺化和氮丙啶化方面表现出高效性,这要归功于 Fe-Fe 活性物种。为了应对更具挑战性的苄基和脂肪族底物,研究发现催化剂可以自身激活到 Fe-Fe L 活性物种,从而能够催化脂肪族胺化反应。广泛的 DFT 计算表明,这种激活事件极大地提高了活性物种的电子亲和力,以满足底物的要求。总的来说,这个过程包括催化剂的氧化还原自适应性,以适应底物的需求。

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