Reduced graphene oxide-supported ruthenium nanocatalysts for highly efficient electrocatalytic hydrogen evolution reaction

电催化剂 石墨烯 塔菲尔方程 氧化钌 纳米材料基催化剂 过电位 材料科学 氧化物 催化作用 化学工程 制氢 无机化学 电解水 煅烧 电解 化学 纳米颗粒 纳米技术 电化学 有机化学 冶金 电极 工程类 物理化学 电解质
作者
Yingliang Feng,Sifan Zhang,Lihua Zhu,Guoda Li,Ning Zhao,Huan Zhang,Binghui Chen
出处
期刊:International Journal of Hydrogen Energy [Elsevier]
卷期号:47 (94): 39853-39863 被引量:13
标识
DOI:10.1016/j.ijhydene.2022.09.154
摘要

Hydrogen energy has received great attention because of its advantages such as large energy density and not producing carbon dioxide, and it is currently considered to be one of the most valuable green energy sources. Therefore, the development of efficiently hydrogen production is of great importance. Hydrogen production from water electrolysis has large application prospects due to its cleanliness and no pollution. However, how to prepare an efficient, stable and low-cost electrocatalyst for this process is still challenging. Here, we develop a reduced graphene oxide-supported ruthenium (Ru) nanoparticle electrocatalyst synthesized by a simple method. The ruthenium precursors are encapsulated and isolated with N,N-dimethylformamide (DMF) (Ru3+-DMF), which effectively inhibits the further agglomeration growth of ruthenium. After Ru3+-DMF being loaded on graphene oxide, Ru is supported on reduced graphene oxide (Ru/rGO) by the liquid phase chemical reduction method and the remaining organic solvent could be removed by calcination to form a well-dispersed Ru-based electrocatalyst. Ru/rGO shows excellent electrocatalytic activity and long-term stability for hydrogen evolution reaction (HER). In a solution of 1.0 M KOH, the overpotential of 3.0 wt%Ru/rGO for the HER at 100 mA cm−2 is only 111.7 mV, and the Tafel slope is 31.5 mV dec−1. It exhibits better HER performance compared to commercial Pt/C and other Ru/rGO catalysts with different Ru loadings. The work could give a new strategy for the synthesis of efficient electrocatalysts.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
zdy完成签到,获得积分10
1秒前
前世的尘应助冤申采纳,获得10
1秒前
2秒前
3秒前
d76874065完成签到,获得积分20
4秒前
4秒前
隐形曼青应助07采纳,获得10
5秒前
DSS完成签到,获得积分10
7秒前
慕青应助硕shuo采纳,获得30
8秒前
虎啸山河完成签到,获得积分10
9秒前
充电宝应助开朗雪巧采纳,获得10
11秒前
11秒前
上官若男应助羞涩的太阳采纳,获得10
12秒前
12秒前
科研通AI2S应助yk采纳,获得10
13秒前
13秒前
15秒前
陈梦鼠发布了新的文献求助10
18秒前
18秒前
yl发布了新的文献求助10
18秒前
19秒前
Hiowa给Hiowa的求助进行了留言
20秒前
yjj6809完成签到,获得积分10
22秒前
23秒前
26秒前
洁净的老寿星完成签到,获得积分10
27秒前
07完成签到,获得积分10
28秒前
29秒前
杨羕完成签到,获得积分10
29秒前
29秒前
d76874065发布了新的文献求助10
30秒前
31秒前
34秒前
34秒前
脑洞疼应助yl采纳,获得50
36秒前
37秒前
37秒前
治好了也得淌口水完成签到,获得积分20
40秒前
tooty完成签到,获得积分10
40秒前
高分求助中
Tracking and Data Fusion: A Handbook of Algorithms 1000
Models of Teaching(The 10th Edition,第10版!)《教学模式》(第10版!) 800
La décision juridictionnelle 800
Rechtsphilosophie und Rechtstheorie 800
Nonlocal Integral Equation Continuum Models: Nonstandard Symmetric Interaction Neighborhoods and Finite Element Discretizations 600
Academic entitlement: Adapting the equity preference questionnaire for a university setting 500
Arkiv för kemi 400
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2876532
求助须知:如何正确求助?哪些是违规求助? 2487920
关于积分的说明 6736474
捐赠科研通 2170896
什么是DOI,文献DOI怎么找? 1153345
版权声明 585924
科研通“疑难数据库(出版商)”最低求助积分说明 566288