Hydrogenation of aqueous nitrate and nitrite with ruthenium catalysts

催化作用 化学 硝酸盐 亚硝酸盐 无机化学 水溶液 吸附 选择性 有机化学
作者
Xiangchen Huo,Daniel J. Van Hoomissen,Jinyong Liu,Shubham Vyas,Timothy J. Strathmann
出处
期刊:Applied Catalysis B-environmental [Elsevier]
卷期号:211: 188-198 被引量:76
标识
DOI:10.1016/j.apcatb.2017.04.045
摘要

Historically, development of catalysts for treatment of nitrate-contaminated water has focused on supported Pd-based catalysts, but high costs of the Pd present a barrier to commercialization. As part of an effort to develop lower cost hydrogenation catalysts for water treatment applications, we investigated catalysts incorporating Ru with lower cost. Pseudo-first-order rate constants and turnover frequencies were determined for carbon- and alumina-supported Ru and demonstrated Ru’s high activity for hydrogenation of nitrate at ambient temperature and H2 pressure. Ex situ gas pretreatment of the catalysts was found to enhance nitrate reduction activity by removing catalyst surface contaminants and exposing highly reducible surface Ru oxides. Ru reduces nitrate selectively to ammonium, and no aqueous nitrite intermediate is observed during reactions. In contrast, reactions initiated with nitrite yield a mixture of two endproducts, with selectivity shifting from ammonium towards N2 at increasing initial aqueous nitrite concentrations. Experimental observation and Density Functional Theory calculations together support a reaction mechanism wherein sequential hydrogenation of nitrate to nitrite and NO is followed by parallel pathways involving the adsorbed NO: (1) sequential hydrogenation to ammonium, and (2) N–N coupling with aqueous nitrite followed by hydrogenation to the detected N2O intermediate and N2 endproduct. These findings open the door to development of alternative catalysts for purifying and recovering nutrients from nitrate-contaminated water sources, and insights into the controlling surface reaction mechanisms can guide rational design efforts aimed at increasing activity and tuning endproduct selectivity.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
悦耳诗筠发布了新的文献求助20
刚刚
复杂以冬完成签到 ,获得积分10
刚刚
Tisa完成签到,获得积分10
1秒前
Duckseid完成签到,获得积分10
2秒前
荒野小蚂蚁完成签到,获得积分10
2秒前
轴先生完成签到,获得积分10
4秒前
遇见未知的自己完成签到,获得积分10
5秒前
葫芦呼噜文完成签到,获得积分10
8秒前
8秒前
sonya完成签到 ,获得积分10
8秒前
宁学者完成签到 ,获得积分10
9秒前
熊熊熊完成签到,获得积分20
9秒前
pu完成签到 ,获得积分10
10秒前
呃呃完成签到,获得积分20
12秒前
XWY完成签到,获得积分10
12秒前
13秒前
23完成签到,获得积分10
13秒前
Lshyong完成签到,获得积分10
15秒前
乐乐应助科研通管家采纳,获得10
15秒前
彭于晏应助科研通管家采纳,获得10
15秒前
隐形曼青应助科研通管家采纳,获得10
15秒前
CodeCraft应助科研通管家采纳,获得10
15秒前
GTRK完成签到 ,获得积分10
16秒前
xw完成签到,获得积分10
16秒前
16秒前
17秒前
简单依风发布了新的文献求助10
18秒前
凶狠的树叶完成签到 ,获得积分10
18秒前
LLLLL完成签到,获得积分10
18秒前
落寞丹烟完成签到 ,获得积分10
18秒前
luvian完成签到 ,获得积分10
19秒前
求助发布了新的文献求助10
21秒前
坚强白玉完成签到,获得积分10
25秒前
开心完成签到 ,获得积分10
26秒前
啊算法撒旦F完成签到,获得积分10
26秒前
岁月静好关注了科研通微信公众号
26秒前
27秒前
27秒前
茶博士完成签到,获得积分10
27秒前
毕葛完成签到 ,获得积分10
28秒前
高分求助中
Teaching Social and Emotional Learning in Physical Education 900
Plesiosaur extinction cycles; events that mark the beginning, middle and end of the Cretaceous 800
Recherches Ethnographiques sue les Yao dans la Chine du Sud 500
Two-sample Mendelian randomization analysis reveals causal relationships between blood lipids and venous thromboembolism 500
Chinese-English Translation Lexicon Version 3.0 500
Wisdom, Gods and Literature Studies in Assyriology in Honour of W. G. Lambert 400
薩提亞模式團體方案對青年情侶輔導效果之研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2391926
求助须知:如何正确求助?哪些是违规求助? 2096657
关于积分的说明 5282036
捐赠科研通 1824220
什么是DOI,文献DOI怎么找? 909793
版权声明 559864
科研通“疑难数据库(出版商)”最低求助积分说明 486170