期刊
APPLIED ORGANOMETALLIC CHEMISTRY
卷 35, 期 4, 页码 -出版社
WILEY
DOI: 10.1002/aoc.6162
关键词
GO metal nanocomposites; Heck reaction; heterogeneous catalyst; organic synthesis; Suzuki reaction
资金
- UGC-MANF [201819MANF-2018-19-RAJ-91971]
- CSIR [09/172(0088)/2018-EMR-I]
In recent decades, heterogeneous catalysis, especially metal-based graphene oxide (GO) catalysts, has emerged as a promising approach for sustainable synthesis due to their unique properties. This article discusses the catalytic efficiency of various metal-supported GO catalysts in different organic transformations, such as oxidation, reduction, and multicomponent reactions. It aims to summarize the uses of metal-supported GO in the preparation of diverse synthetic molecules and the recent advancements in GO metal composites as catalysts.
In the last decades, heterogeneous catalysis has emerged as a promising approach for sustainable synthesis. Among this, metal-based graphene oxide (GO) as catalysts is widely used due to their unique properties such as physical and thermal stability of the catalysts in successive reaction runs and reusability. Metal-supported GOs are quite prevalent and probably suitable acidic catalysts for both research laboratories and industrial processes. Herein, we have described the catalytic efficiency of various metal-supported GO catalysts in different organic transformations like oxidation, reduction, multicomponent reactions, alkylation, condensation, dehydration, dehydrogenation, and Suzuki, Heck, and Sonogashira reactions. This article has been divided into three subsections: (i) GO-supported metal as a catalyst, (ii) GO-supported bimetal as a catalyst, and (iii) GO-supported metal oxide as a catalyst for the easier understanding of the vast community of researchers. The foremost aim of this article is to summarize the uses of metal-supported GO in the preparation of diverse synthetic molecules. The recent advancements in GO metal composites as catalysts with their applications have been deliberated.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据