亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Nitrite Reduction Mechanism on a Pd Surface

催化作用 化学 亚硝酸盐 产量(工程) 双金属片 选择性 密度泛函理论 金属 无机化学 硝酸盐 分解 选择性催化还原 计算化学 材料科学 有机化学 冶金
作者
Hyeyoung Shin,Sungyoon Jung,Sungjun Bae,Woojin Lee,Hyungjun Kim
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:48 (21): 12768-12774 被引量:234
标识
DOI:10.1021/es503772x
摘要

Nitrate (NO3-) is one of the most harmful contaminants in the groundwater, and it causes various health problems. Bimetallic catalysts, usually palladium (Pd) coupled with secondary metallic catalyst, are found to properly treat nitrate-containing wastewaters; however, the selectivity toward N2 production over ammonia (NH3) production still requires further improvement. Because the N2 selectivity is determined at the nitrite (NO2-) reduction step on the Pd surface, which occurs after NO3- is decomposed into NO2- on the secondary metallic catalyst, we here performed density functional theory (DFT) calculations and experiments to investigate the NO2- reduction pathway on the Pd surface activated by hydrogen. Based on extensive DFT calculations on the relative energetics among ∼100 possible intermediates, we found that NO2- is easily reduced to NO* on the Pd surface, followed by either sequential hydrogenation steps to yield NH3 or a decomposition step to N* and O* (an adsorbate on Pd is denoted using an asterisk). Based on the calculated high migration barrier of N*, we further discussed that the direct combination of two N* to yield N2 is kinetically less favorable than the combination of a highly mobile H* with N* to yield NH3. Instead, the reduction of NO2- in the vicinity of the N* can yield N2O* that can be preferentially transformed into N2 via diverse reaction pathways. Our DFT results suggest that enhancing the likelihood of N* encountering NO2- in the solution phase before combination with surface H* is important for maximizing the N2 selectivity. This is further supported by our experiments on NO2- reduction by Pd/TiO2, showing that both a decreased H2 flow rate and an increased NO2- concentration increased the N2 selectivity (78.6-93.6% and 57.8-90.9%, respectively).
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
完美世界应助xcxcc采纳,获得10
1秒前
5秒前
打打应助Ahan采纳,获得10
5秒前
Alan完成签到,获得积分10
7秒前
9秒前
9秒前
凉面完成签到 ,获得积分10
10秒前
12秒前
Jasper应助zzzzzjjppp采纳,获得10
13秒前
summer发布了新的文献求助10
15秒前
15秒前
嘉心糖应助summer采纳,获得30
21秒前
xcxcc发布了新的文献求助10
21秒前
柒贰幺发布了新的文献求助10
22秒前
24秒前
苗龙伟完成签到 ,获得积分10
26秒前
甜橙汁完成签到,获得积分10
26秒前
科目三应助满意的一刀采纳,获得30
27秒前
27秒前
船长完成签到,获得积分10
28秒前
yuan完成签到,获得积分10
28秒前
zzzzzjjppp发布了新的文献求助10
31秒前
Ahan发布了新的文献求助10
31秒前
32秒前
xcxcc完成签到,获得积分10
32秒前
summer完成签到,获得积分10
35秒前
40秒前
九七完成签到,获得积分10
41秒前
541完成签到,获得积分10
41秒前
choo发布了新的文献求助30
44秒前
53秒前
晚星完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
yingying完成签到 ,获得积分10
1分钟前
loser发布了新的文献求助10
1分钟前
努力地小夏完成签到,获得积分10
1分钟前
谦让鹏涛发布了新的文献求助10
1分钟前
1分钟前
WEileen完成签到 ,获得积分0
1分钟前
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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6362003
求助须知:如何正确求助?哪些是违规求助? 8175696
关于积分的说明 17223950
捐赠科研通 5416765
什么是DOI,文献DOI怎么找? 2866548
邀请新用户注册赠送积分活动 1843754
关于科研通互助平台的介绍 1691516