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
所所应助科研通管家采纳,获得10
刚刚
CipherSage应助科研通管家采纳,获得10
刚刚
刚刚
田様应助科研通管家采纳,获得10
刚刚
hxhdh发布了新的文献求助10
刚刚
英姑应助科研通管家采纳,获得10
刚刚
打打应助科研通管家采纳,获得10
刚刚
LDX应助科研通管家采纳,获得10
1秒前
bkagyin应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
2秒前
3秒前
mojomars发布了新的文献求助10
3秒前
4秒前
linshunan发布了新的文献求助10
4秒前
5秒前
5秒前
5秒前
Tong123发布了新的文献求助10
5秒前
我是老大应助lyj_eye采纳,获得10
7秒前
爱撒娇的孤丹完成签到 ,获得积分10
7秒前
7秒前
8秒前
小李弱爆了完成签到,获得积分10
8秒前
8秒前
科研通AI6.4应助ymmmjjd采纳,获得10
9秒前
雨晴发布了新的文献求助10
9秒前
pcg发布了新的文献求助10
9秒前
向语堂发布了新的文献求助10
10秒前
hydrogen完成签到,获得积分10
10秒前
NexusExplorer应助hxhdh采纳,获得10
10秒前
11秒前
12秒前
12秒前
852应助mojomars采纳,获得10
13秒前
13秒前
13秒前
miaomiao完成签到,获得积分10
13秒前
危机的觅风完成签到,获得积分10
14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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
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 7632041
求助须知:如何正确求助?哪些是违规求助? 9206467
关于积分的说明 19744653
捐赠科研通 7201360
什么是DOI,文献DOI怎么找? 3274739
关于科研通互助平台的介绍 2436632
邀请新用户注册赠送积分活动 2271402