Suppr超能文献

快速大规模合成具有可调结构的超薄镍铁层状双氢氧化物纳米片作为高效析氧电催化剂。

Rapid large-scale synthesis of ultrathin NiFe-layered double hydroxide nanosheets with tunable structures as robust oxygen evolution electrocatalysts.

作者信息

Hou Changmin, Cui Zhao, Zhang Sai, Yang Wenlong, Gao Hongtao, Luo Xiliang

机构信息

Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, Key Laboratory of Analytical Chemistry for Life Science in Universities of Shandong, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology Qingdao 266042 P. R. China

出版信息

RSC Adv. 2021 Nov 23;11(59):37624-37630. doi: 10.1039/d1ra05045a. eCollection 2021 Nov 17.

Abstract

Transition metal layered double hydroxides (LDHs) with ultrathin two-dimensional (2D) structures, especially NiFe-based LDH nanosheets, have been extensively developed as advanced oxygen evolution reaction (OER) electrocatalysts for water splitting. Nevertheless, traditional synthetic approaches for these promising catalysts usually involve tedious pretreatment procedures and a subsequent time-consuming exfoliation process, and the obtained products possess a wide dispersion of thickness and limited production yield. Here, a sequence of ultrathin NiFe-LDH nanosheets with tunable components were prepared on a large scale a rapid room-temperature method under ambient conditions, and were further used as a desired material model for studying the influence of Ni/Fe ratio modulation on the OER performance. Due to the synergetic effect of more exposed active sites, efficient electron transport and optimized OER kinetics, the resulting LDH samples manifest outstanding electrocatalytic performance toward water oxidation.

摘要

具有超薄二维(2D)结构的过渡金属层状双氢氧化物(LDH),特别是镍铁基LDH纳米片,作为用于水分解的先进析氧反应(OER)电催化剂已得到广泛开发。然而,这些有前景的催化剂的传统合成方法通常涉及繁琐的预处理程序和随后耗时的剥离过程,并且所获得的产物具有厚度的广泛分散性和有限的产率。在此,在环境条件下通过快速室温方法大规模制备了一系列具有可调组分的超薄镍铁-LDH纳米片,并将其进一步用作研究镍/铁比调制对OER性能影响的理想材料模型。由于更多暴露的活性位点的协同效应、有效的电子传输和优化的OER动力学,所得的LDH样品对水氧化表现出优异的电催化性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab81/9043841/53ed46690668/d1ra05045a-f1.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