Suppr超能文献

一种用于控制硝基芳烃氢化网络的自适应铑催化剂。

An Adaptive Rhodium Catalyst to Control the Hydrogenation Network of Nitroarenes.

作者信息

Chugh Vishal, Chatterjee Basujit, Chang Wei-Chieh, Cramer Hanna H, Hindemith Carsten, Randel Helena, Weyhermüller Thomas, Farès Christophe, Werlé Christophe

机构信息

Max Planck Institute for Chemical Energy Conversion, Stiftstr. 34-36, 45470, Mülheim an der Ruhr, Germany.

Ruhr University Bochum, Universitätsstr. 150, 44801, Bochum, Germany.

出版信息

Angew Chem Int Ed Engl. 2022 Sep 5;61(36):e202205515. doi: 10.1002/anie.202205515. Epub 2022 Aug 1.

Abstract

An adaptive catalytic system that provides control over the nitroarene hydrogenation network to prepare a wide range of aniline and hydroxylamine derivatives is presented. This system takes advantage of a delicate interplay between a rhodium(III) center and a Lewis acidic borane introduced in the secondary coordination sphere of the metal. The high chemoselectivity of the catalyst in the presence of various potentially vulnerable functional groups and its readiness to be deployed at a preparative scale illustrate its practicality. Mechanistic studies and density functional theory (DFT) methods were used to shed light on the mode of functioning of the catalyst and elucidate the origin of adaptivity. The competition for interaction with boron between a solvent molecule and a substrate was found crucial for adaptivity. When operating in THF, the reduction network stops at the hydroxylamine platform, whereas the reaction can be directed to the aniline platform in toluene.

摘要

本文介绍了一种自适应催化体系,该体系可控制硝基芳烃氢化网络,以制备多种苯胺和羟胺衍生物。该体系利用了铑(III)中心与引入金属二级配位球中的路易斯酸性硼烷之间的微妙相互作用。该催化剂在存在各种潜在易受影响的官能团时具有高化学选择性,并且易于在制备规模上应用,说明了其实用性。通过机理研究和密度泛函理论(DFT)方法来阐明催化剂的作用模式并解释适应性的起源。发现溶剂分子与底物之间与硼相互作用的竞争对适应性至关重要。在四氢呋喃中操作时,还原网络在羟胺平台处停止,而在甲苯中反应可导向苯胺平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0f1/9544374/dd13038895cd/ANIE-61-0-g003.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验