Suppr超能文献

通过手性伯胺的亚胺催化实现硫代丙二酸酯迈克尔加成物的立体选择性机械化学合成。

Stereoselective mechanochemical synthesis of thiomalonate Michael adducts via iminium catalysis by chiral primary amines.

作者信息

Błauciak Michał, Andrzejczyk Dominika, Dziuk Błażej, Kowalczyk Rafał

机构信息

Faculty of Bioorganic Chemistry, Wrocław University of Science and Technology, wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland.

Current company: PCC EXOL, Poland.

出版信息

Beilstein J Org Chem. 2024 Sep 12;20:2313-2322. doi: 10.3762/bjoc.20.198. eCollection 2024.

Abstract

The study presents a novel approach utilizing iminium salt activation and mild enolization of thioesters, offering an efficient and rapid synthesis of Michael adducts with promising stereoselectivity and marking a significant advancement in mechanocatalysis. The stereoselective addition of bisthiomalonates - to cyclic enones and 4-chlorobenzylideneacetone proceeds stereoselectively under iminium activation conditions secured by chiral primary amines, in contrast to oxo-esters as observed in dibenzyl malonate addition. Mild enolization of thioesters allows for the generation of Michael adducts with good yields and stereoselectivities. Reactions in a ball mill afford product formation with similar efficacy to solution-phase reactions but with slightly reduced enantioselectivity, yet they yield products in just one hour compared to 24 or even 168 hours in solution-based reactions. It is noteworthy that this represents one of the early reports on the application of iminium catalysis using first-generation chiral amines under mechanochemical conditions, along with the utilization of easily enolizable thioesters as nucleophiles in this transformation.

摘要

该研究提出了一种利用亚胺盐活化和硫酯温和烯醇化的新方法,能高效快速地合成具有良好立体选择性的迈克尔加成物,标志着机械催化领域的重大进展。在手性伯胺确保的亚胺活化条件下,双硫代丙二酸酯与环状烯酮和4-氯亚苄基丙酮的立体选择性加成反应具有立体选择性,这与丙二酸二苄酯加成中观察到的氧代酯情况不同。硫酯的温和烯醇化能够生成具有良好产率和立体选择性的迈克尔加成物。在球磨机中进行的反应生成产物的效率与溶液相反应相似,但对映选择性略有降低,不过与基于溶液的反应需要24小时甚至168小时相比,它们在仅一小时内就能生成产物。值得注意的是,这是关于在机械化学条件下使用第一代手性胺进行亚胺催化应用的早期报告之一,同时也是在该转化中利用易于烯醇化的硫酯作为亲核试剂的早期报告之一。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f84d/11406053/e9e8fd129f4c/Beilstein_J_Org_Chem-20-2313-g002.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