Suppr超能文献

催化甲烷分解制备碳纳米结构及无CO氢气:一篇综述

Catalytic Methane Decomposition to Carbon Nanostructures and CO-Free Hydrogen: A Mini-Review.

作者信息

Gamal Ahmed, Eid Kamel, El-Naas Muftah H, Kumar Dharmesh, Kumar Anand

机构信息

Gas Processing Center, College of Engineering, Qatar University, Doha 2713, Qatar.

Qatar Shell Research & Technology Center (QSTP), Doha 3747, Qatar.

出版信息

Nanomaterials (Basel). 2021 May 6;11(5):1226. doi: 10.3390/nano11051226.

Abstract

Catalytic methane decomposition (CMD) is a highly promising approach for the rational production of relatively CO-free hydrogen and carbon nanostructures, which are both important in multidisciplinary catalytic applications, electronics, fuel cells, etc. Research on CMD has been expanding in recent years with more than 2000 studies in the last five years alone. It is therefore a daunting task to provide a timely update on recent advances in the CMD process, related catalysis, kinetics, and reaction products. This mini-review emphasizes recent studies on the CMD process investigating self-standing/supported metal-based catalysts (e.g., Fe, Ni, Co, and Cu), metal oxide supports (e.g., SiO, AlO, and TiO), and carbon-based catalysts (e.g., carbon blacks, carbon nanotubes, and activated carbons) alongside their parameters supported with various examples, schematics, and comparison tables. In addition, the review examines the effect of a catalyst's shape and composition on CMD activity, stability, and products. It also attempts to bridge the gap between research and practical utilization of the CMD process and its future prospects.

摘要

催化甲烷分解(CMD)是一种极具前景的方法,可用于合理生产相对无CO的氢气和碳纳米结构,这两者在多学科催化应用、电子学、燃料电池等领域都很重要。近年来,CMD的研究一直在扩展,仅在过去五年就有超过2000项研究。因此,及时更新CMD过程、相关催化、动力学和反应产物的最新进展是一项艰巨的任务。本综述着重介绍了近年来对CMD过程的研究,该研究考察了自立式/负载型金属基催化剂(如Fe、Ni、Co和Cu)、金属氧化物载体(如SiO、AlO和TiO)以及碳基催化剂(如炭黑、碳纳米管和活性炭),并通过各种示例、示意图和比较表对其参数进行了说明。此外,该综述还研究了催化剂的形状和组成对CMD活性、稳定性和产物的影响。它还试图弥合CMD过程的研究与实际应用之间的差距及其未来前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597d/8148609/a9d24b56907b/nanomaterials-11-01226-g001.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