A highly active copper-nanoparticle-based nitrate reduction electrocatalyst prepared by in situ electrodeposition and annealing

电催化剂 退火(玻璃) 原位 电化学 电极 材料科学 纳米颗粒 化学工程 硝酸盐 化学 冶金 纳米技术 有机化学 工程类 物理化学
作者
Min Hong,Qinian Wang,Jun Sun,Chao Wu
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:827: 154349-154349 被引量:18
标识
DOI:10.1016/j.scitotenv.2022.154349
摘要

In recent years, copper-based electrodes have attracted intense attention for the electrochemical reduction of nitrate (NO3−), the so-called ECRN. However, these electrodes suffer from low activity and selectivity. Herein, we report a novel Cu-based electrode (IE-Cu-400) for the ECRN fabricated by loading Cu-based nanoparticles onto graphite felt using in situ electrodeposition followed by annealing. Compared with traditional Cu-based electrodes, the IE-Cu-400 is comprised of smaller particles and the copper is present in a high oxidation state (Cu2+ in CuO). During operation, the CuO is converted to Cu, which is the active ECRN species. In addition, an increased surface area and high density of grain boundaries resulting from the reduction of CuO were observed for IE-Cu-400. This resulted in a 3.38-fold increase in the NO3− removal rate and a 1.36-fold increase in NH4+ selectivity. Further analyses revealed that the enhanced ECRN performance of IE-Cu-400 is linked to its increased number of active sites, as well as its improved adsorption and reduction ability for NO2−. Moreover, IE-Cu-400 displays high stability for the ECRN. Finally, the produced NH4+ was effectively oxidised to N2 with approximately 100% selectivity via chlorination. Hence, the two-stage treatment strategy (i.e. ECRN by IE-Cu-400 + chlorination treatment) presented here shows great potential for the complete electrocatalytic denitrification of water. Further, this work highlights the beneficial effect of decreasing the particle size and controlling the surface oxidation of Cu-based catalysts simultaneously for enhancing the ECRN and offers new suggestions for the design of high-performance electrode materials for the ECRN.
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
刚刚
合适的幻然完成签到,获得积分10
1秒前
Yik发布了新的文献求助10
1秒前
1秒前
ding应助孤独的问凝采纳,获得10
2秒前
SciGPT应助chen采纳,获得10
2秒前
纯真的初夏完成签到,获得积分10
3秒前
4秒前
4秒前
Nole应助矛盾空间采纳,获得30
4秒前
Ava应助zz采纳,获得10
4秒前
5秒前
5秒前
L7发布了新的文献求助10
5秒前
solar@2030发布了新的文献求助10
5秒前
擦边大王动动腰完成签到,获得积分10
6秒前
zz完成签到,获得积分10
7秒前
晚晚完成签到 ,获得积分10
8秒前
9秒前
林加雄完成签到,获得积分10
10秒前
慕青应助萌萌采纳,获得10
10秒前
蓝天发布了新的文献求助30
10秒前
solar@2030完成签到,获得积分10
11秒前
11秒前
彭于晏应助sci喷涌而出采纳,获得10
12秒前
13秒前
所所应助陈住气采纳,获得10
14秒前
小鱼完成签到,获得积分10
15秒前
大模型应助lkk采纳,获得10
15秒前
16秒前
xrima完成签到,获得积分20
16秒前
糟糕的雪柳完成签到,获得积分10
18秒前
呼延青易完成签到,获得积分10
18秒前
18秒前
18秒前
19秒前
风趣的芙发布了新的文献求助10
19秒前
田田完成签到 ,获得积分10
19秒前
19秒前
小斌应助彳亍而上学采纳,获得10
19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
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
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 7395419
求助须知:如何正确求助?哪些是违规求助? 9001470
关于积分的说明 19158785
捐赠科研通 7031307
什么是DOI,文献DOI怎么找? 3229850
关于科研通互助平台的介绍 2392315
邀请新用户注册赠送积分活动 2211450