Low Pressure Carbonylation of Benzyl Carbonates and Carbamates for Applications in13C Isotope Labeling and Catalytic CO2Reduction

作者
Craig S. Day,Stephanie J. Ton,Clemens Kaußler,Daniel Vrønning Hoffmann,Troels Skrydstrup
出处
期刊:Angewandte Chemie [Wiley]
卷期号:135 (35)
标识
DOI:10.1002/ange.202308238
摘要

Abstract Herein, we report a methodology to access isotopically labeled esters and amides from carbonates and carbamates employing an oxygen deletion strategy. This methodology utilizes a decarboxylative carbonylation approach for isotope labeling with near stoichiometric, ex situ generated 12 C, or 13 C carbon monoxide. This reaction is characterized by its broad scope, functional group tolerance, and high yields, which is showcased with the synthesis of structurally complex molecules. A complementary method that operates by the catalytic in situ generation of CO via the reduction of CO 2 liberated during decarboxylation has also been developed as a proof‐of‐concept approach that CO 2 ‐derived compounds can be converted to CO‐containing frameworks. Mechanistic studies provide insight into the catalytic steps which highlight the impact of ligand choice to overcome challenges associated with low‐pressure carbonylation methodologies, along with rational for the development of future methodologies.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
桐桐应助cfjbxf采纳,获得10
1秒前
1秒前
su发布了新的文献求助10
1秒前
v0id应助屿安采纳,获得10
1秒前
大模型应助科研通管家采纳,获得10
2秒前
Owen应助科研通管家采纳,获得10
2秒前
wumaoxi完成签到,获得积分20
2秒前
2秒前
ff完成签到,获得积分10
2秒前
Owen应助shengsheng采纳,获得10
2秒前
汉堡包应助科研通管家采纳,获得10
2秒前
快乐的盼望完成签到 ,获得积分10
2秒前
打打应助科研通管家采纳,获得10
2秒前
完美世界应助科研通管家采纳,获得10
3秒前
Hello应助科研通管家采纳,获得10
3秒前
只想发SCI发布了新的文献求助10
3秒前
zzzz应助科研通管家采纳,获得10
3秒前
风趣迎夏完成签到,获得积分20
3秒前
3秒前
Nole应助科研通管家采纳,获得10
3秒前
3秒前
领导范儿应助科研通管家采纳,获得10
3秒前
丑八怪完成签到,获得积分10
3秒前
4秒前
4秒前
zzzz应助科研通管家采纳,获得10
4秒前
zzzz应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
4秒前
搜集达人应助科研通管家采纳,获得10
5秒前
所所应助科研通管家采纳,获得10
5秒前
爆米花应助大羊腿采纳,获得10
5秒前
英姑应助科研通管家采纳,获得10
5秒前
xuan发布了新的文献求助10
5秒前
香蕉觅云应助科研通管家采纳,获得10
5秒前
阿会发布了新的文献求助10
5秒前
5秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7582383
求助须知:如何正确求助?哪些是违规求助? 9161404
关于积分的说明 19602752
捐赠科研通 7164614
什么是DOI,文献DOI怎么找? 3266137
关于科研通互助平台的介绍 2431010
邀请新用户注册赠送积分活动 2257338