Suppr超能文献

通过多相光催化将CO增值与有机合成相结合的耦合策略

Coupling Strategy for CO Valorization Integrated with Organic Synthesis by Heterogeneous Photocatalysis.

作者信息

Yuan Lan, Qi Ming-Yu, Tang Zi-Rong, Xu Yi-Jun

机构信息

School of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan, 430081, China.

College of Chemistry, State Key Laboratory of Photocatalysis on Energy and Environment, Fuzhou University, Fuzhou, 350116, China.

出版信息

Angew Chem Int Ed Engl. 2021 Sep 20;60(39):21150-21172. doi: 10.1002/anie.202101667. Epub 2021 May 14.

Abstract

Photocatalytic reduction of CO to solar fuels and/or fine chemicals is a promising way to increase the energy supply and reduce greenhouse gas emissions. However, the conventional reaction system for CO photoreduction with pure H O or sacrificial agents usually suffers from low catalytic efficiency, poor stability, or cost-ineffective atom economy. A recent surge of developments, in which photocatalytic CO valorization is integrated with selective organic synthesis into one reaction system, indicates an efficient modus operandi that enables sufficient utilization of photogenerated electrons and holes to achieve the goals for sustainable economic and social development. In this Review we discuss current advances in cooperative photoredox reaction systems that integrate CO valorization with organics upgrading based on heterogeneous photocatalysis. The applications and virtues of this strategy and the underlying reaction mechanisms are discussed. The ongoing challenges and prospects in this area are critically discussed.

摘要

光催化将一氧化碳还原为太阳能燃料和/或精细化学品是增加能源供应和减少温室气体排放的一种有前景的方法。然而,使用纯H₂O或牺牲剂进行一氧化碳光还原的传统反应体系通常存在催化效率低、稳定性差或原子经济性成本效益低的问题。最近的一系列进展,即将光催化一氧化碳增值与选择性有机合成整合到一个反应体系中,表明了一种有效的操作方式,能够充分利用光生电子和空穴,以实现可持续经济和社会发展的目标。在本综述中,我们讨论了基于多相光催化将一氧化碳增值与有机物升级相结合的协同光氧化还原反应体系的当前进展。讨论了该策略的应用和优点以及潜在的反应机制。对该领域当前面临的挑战和前景进行了批判性讨论。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验