Suppr超能文献

在二茂铁胺中,底物NOBINAc配体对钯催化的对映选择性C-H活化反应中活性β-C-H键的亲和力。

Substrate NOBINAc ligand affinity for Pd-catalyzed enantioselective C-H activation over reactive β-C-H bonds in ferrocenyl amines.

作者信息

Parganiha Devendra, Thorat Raviraj Ananda, Dhumale Ashwini Dilip, Upadhyay Yagya Dutt, Jha Raushan Kumar, Raju Saravanan, Kumar Sangit

机构信息

Department of Chemistry, Indian Institute of Science Education and Research Bhopal Bhopal By-Pass Road Bhopal Madhya Pradesh 462066 India

出版信息

Chem Sci. 2024 Dec 13;16(2):700-708. doi: 10.1039/d4sc06867j. eCollection 2025 Jan 2.

Abstract

Ferrocenyl amines as directing groups for C-H activation have limitations as they are prone to undergo oxidation, allylic deamination, and β-hydride elimination. The fundamental challenge observed here is the competition between the desired C-H activation the vulnerable β-C-H bond activation of amines and fine-tuning of a suitable oxidant which avoids the oxidation of the β-C-H bond and ferrocene. Herein, the potential of an axially chiral NOBINAc ligand is revealed to implement the enantioselective Pd-catalyzed C-H activation process of ferrocenyl amines. Mechanistically, the affinity between the NOBINAc ligand and sulfonate group of amine facilitated by the Cs cation plays an impressive role in the desired reaction outcome an enhanced substrate ligand affinity. This approach resulted in a Pd-catalyzed enantioselective C-H activation, the first intermolecular annulation, and alkenylation of ferrocenyl amines with allenes and olefins, leading to ferrocene fused tetrahydropyridines and alkenylated ferrocenyl amines with up to 70% yields and 99 : 1 er.

摘要

作为C-H活化导向基团的二茂铁基胺存在局限性,因为它们容易发生氧化、烯丙基脱氨基和β-氢消除反应。此处观察到的根本挑战在于所需的C-H活化与胺的易发生β-C-H键活化之间的竞争,以及微调合适的氧化剂以避免β-C-H键和二茂铁的氧化。在此,轴向手性NOBINAc配体的潜力得以展现,可实现二茂铁基胺的对映选择性钯催化C-H活化过程。从机理上讲,铯阳离子促进的NOBINAc配体与胺的磺酸酯基团之间的亲和力在期望的反应结果中发挥了重要作用——增强了底物与配体的亲和力。该方法实现了钯催化的对映选择性C-H活化、首例分子间环化以及二茂铁基胺与丙二烯和烯烃的烯基化反应,得到了二茂铁稠合四氢吡啶和烯基化二茂铁基胺,产率高达70%,对映体比例为99:1。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9464/11694935/cb4bcb3b394f/d4sc06867j-s1.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