Fan_NW_SourceData

催化作用 硝酸盐 吸附 纳米孔 碳纳米管 材料科学 化学工程 浸出(土壤学) 水溶液中的金属离子 化学 金属 纳米技术 密度泛函理论 无机化学 多相催化 分子动力学 扩散 水处理 纳米颗粒 水运
作者
Fan, Yingzheng
标识
DOI:10.6084/m9.figshare.26009764
摘要

Current methods for electrocatalytic destruction of nitrate in drinking water require metal catalysts to achieve sufficient nitrate removal. However, metal-based catalysts involve complicated synthesis, increase treatment costs, and can lead to leaching of metals into treated water. In this study, we achieved nitrate reduction performance comparable to that of metal-based catalysts via electrofiltration through a metal-free nanoporous electrified membrane (EM) containing unmodified pristine carbon nanotubes (CNTs). Experimental results coupled with computational fluid dynamics simulations elucidated how the decreased diffusion boundary layer in the flow-through CNT-EM mitigates diffusion limitations to enhance overall nitrate reaction activity. Furthermore, defects in CNTs were identified as the catalytic active sites by comparing the activity of EMs containing acid-treated metal-free CNTs and CNTs with added defects. Through density functional theory and molecular dynamics calculations, we demonstrated enhanced *NO2 and *NO adsorption energies at intrinsic defect sites, which are present in most commercial CNTs and become more accessible to nitrate ions under flow-through operation. Finally, the long-term stability, tolerance of environmental interferences, and sufficient nitrate removal and scalability to meet drinking water standards were demonstrated in real surface water, exhibiting the outstanding performance of the metal-free CNT-EM for practical applications. By elucidating how nanoporous electrofiltration enables dynamic matching of reaction and transport rates, this study demonstrates a new strategy to drastically improve electrocatalytic reaction performance without complex catalyst materials innovation, bridging existing gaps for nitrate removal in drinking water treatment related to the use of metal-based catalysts.
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
大个应助韭菜馅采纳,获得10
1秒前
CipherSage应助19采纳,获得10
2秒前
2秒前
yuanyeyoumancao完成签到,获得积分10
3秒前
鱼游天下发布了新的文献求助10
3秒前
3秒前
橙啊程完成签到 ,获得积分10
3秒前
周大人完成签到 ,获得积分10
3秒前
rui完成签到,获得积分10
4秒前
v0id应助眼药水采纳,获得10
4秒前
黄淳发布了新的文献求助10
5秒前
Wu完成签到,获得积分10
5秒前
xing_xing应助yyy采纳,获得20
5秒前
酷波er应助小芳芳采纳,获得10
6秒前
CipherSage应助hyyyh采纳,获得10
6秒前
祺Q完成签到 ,获得积分10
6秒前
7秒前
少许完成签到,获得积分10
7秒前
Akim应助鱼瑜采纳,获得10
8秒前
一一发布了新的文献求助10
8秒前
9秒前
琉璃果冻发布了新的文献求助10
9秒前
rui发布了新的文献求助10
9秒前
9秒前
吴欣珂完成签到,获得积分20
10秒前
英俊的铭应助Pami采纳,获得10
10秒前
聪明勇敢有力气完成签到,获得积分10
10秒前
11秒前
龙泉完成签到 ,获得积分10
12秒前
12秒前
zhy发布了新的文献求助10
12秒前
lzqlzqlzqlzqlzq完成签到,获得积分10
12秒前
illusion完成签到,获得积分10
12秒前
13秒前
13秒前
13秒前
14秒前
Xiaoab发布了新的文献求助10
15秒前
小二郎应助Quant采纳,获得10
15秒前
韭菜馅发布了新的文献求助10
15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
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 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 7757054
求助须知:如何正确求助?哪些是违规求助? 9303518
关于积分的说明 20274828
捐赠科研通 7340592
什么是DOI,文献DOI怎么找? 3311725
关于科研通互助平台的介绍 2462591
邀请新用户注册赠送积分活动 2325427