Silica-supported Cu2O nanoparticles with tunable size for sustainable hydrogen generation

光催化 材料科学 纳米颗粒 微晶 化学工程 纳米技术 粒径 带隙 氧化物 催化作用 光电子学 化学 有机化学 工程类 冶金
作者
Gang Wang,Roy van den Berg,Celso de Mello Donegá,Krijn P. de Jong,Petra E. de Jongh
出处
期刊:Applied Catalysis B-environmental [Elsevier BV]
卷期号:192: 199-207 被引量:44
标识
DOI:10.1016/j.apcatb.2016.03.044
摘要

Cu2O is a p-type semiconductor which attracts much attention for application in photovoltaics, photocatalysis and solar water splitting. However, Cu2O is not intrinsically stable under illumination in aqueous solutions, and the edge of the valence band is not positive enough to provide sufficient overpotential for water oxidation. The stability and band edge position of nanostructured materials depend on crystallite size. In this paper, we describe a new strategy to vary the size of Cu2O nanoparticles using mesoporous silica supports. First, CuO nanoparticles were obtained via impregnation-drying-heating. The size of the nanoparticles was tuned by varying either the concentration of Cu precursor or the pore diameter of the supporting silica. Subsequently, the CuO was converted to Cu2O without particle growth by gas-phase reduction with carbon monoxide. The visible light absorption of these nanoparticles depended on the copper oxide phase and crystallite size, leading to a direct band gap energy of 2.60 eV for 2 nm Cu2O nanoparticles compared to 1.94 eV for macrocrystalline Cu2O. Our results highlight a new synthesis strategy for the preparation of metal-oxide nanoparticles with controlled sizes of 2–15 nm that are not directly accessible by alternative synthesis techniques. The as-obtained 15 nm Cu2O nanoparticles were used for H2 evolution in a water-methanol mixture, the photocatalyst gave a H2 evolution rate of 11.5 × 10−3 μmol min−1 which corresponded to an internal quantum efficiency of 15.8% and an overall quantum efficiency of 3.5% for light between 310 and 710 nm. Finally, the nanoparticles were stable during three hours of light illumination.
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
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
Unstoppable完成签到,获得积分10
刚刚
YQP发布了新的文献求助20
刚刚
ygmygqdss完成签到 ,获得积分10
1秒前
小二郎应助抹缇卡采纳,获得10
1秒前
张欢馨应助隐形的凡阳采纳,获得10
2秒前
oc666888完成签到,获得积分10
2秒前
xxx完成签到,获得积分10
4秒前
4秒前
拓跋傲薇完成签到,获得积分10
5秒前
yk发布了新的文献求助10
6秒前
大个应助xxx采纳,获得10
6秒前
7秒前
22336应助woshi123采纳,获得20
7秒前
在水一方应助richadowei采纳,获得10
9秒前
在水一方应助喷火龙采纳,获得10
10秒前
老吉完成签到,获得积分10
10秒前
天庚地寅完成签到,获得积分10
10秒前
haozai201发布了新的文献求助10
11秒前
12秒前
Oak完成签到 ,获得积分10
14秒前
14秒前
慕青应助不知道采纳,获得30
15秒前
15秒前
Pomelotea完成签到,获得积分10
15秒前
断罪菌驳回了syy应助
17秒前
坚强白翠发布了新的文献求助10
18秒前
18秒前
haha发布了新的文献求助10
19秒前
guaxi发布了新的文献求助10
21秒前
richadowei发布了新的文献求助10
21秒前
寻梦的南瓜完成签到,获得积分10
21秒前
haozai201完成签到,获得积分10
23秒前
Claire完成签到,获得积分10
23秒前
lqh0211发布了新的文献求助20
23秒前
duanhahaha发布了新的文献求助10
23秒前
probiotics完成签到,获得积分10
24秒前
25秒前
Kao应助稳重的书双采纳,获得30
25秒前
拼搏霸发布了新的文献求助10
26秒前
datiancaihaha完成签到,获得积分10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Health Psychology 800
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7592932
求助须知:如何正确求助?哪些是违规求助? 9170175
关于积分的说明 19627409
捐赠科研通 7170719
什么是DOI,文献DOI怎么找? 3267529
关于科研通互助平台的介绍 2432418
邀请新用户注册赠送积分活动 2260076