Selective oxidation of ammonium to nitrogen gas by advanced oxidation processes: Reactive species and oxidation mechanisms

化学 废水 环境化学 高级氧化法 活性氮 氮气 催化作用 环境科学 环境工程 有机化学
作者
Xinyu Liu,Jianlong Wang
出处
期刊:Journal of environmental chemical engineering [Elsevier BV]
卷期号:11 (3): 110263-110263 被引量:38
标识
DOI:10.1016/j.jece.2023.110263
摘要

Ammonia nitrogen pollution is still a global concern, leading to eutrophication of aquatic ecosystems. Various technologies have been studied and applied for ammonium removal from water and wastewater, including physical, chemical and biological methods. For wastewater purification purposes, advanced oxidation processes (AOPs) are considered as promising approaches and potential alternatives for advanced treatment to further improving water quality. Although there are many reviews on AOPs for degradation of refractory pollutants, few reviews on the ammonia oxidation. In recent years, the selective oxidation of ammonia by AOPs has received increasing attention. In this review, the selective oxidation of ammonium to nitrogen gas (N2) by various AOPs, such as photocatalytic process, electrochemical process, catalytic ozonation, sulfate radical-based process, and integrated processes were systematically summarized. Firstly, the formation, reactivity toward NH4+/NH3, and reactive species generated in AOPs were analyzed and compared; then, the radical mediated and non-radical mediated reaction mechanisms of NH4+/NH3 oxidation were discussed in detail; thirdly, the selective oxidation of ammonia to nitrogen gas under specific operational conditions were summarized, and finally, various AOPs for selective oxidation of ammonia to nitrogen gas were discussed from the perspective of merits and demerits, influencing factors, key material development, integrated processes, current status, main challenges, and future research directions. This review will deepen to understand the selective oxidation of ammonia by various AOPs.
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
orixero应助小石头采纳,获得50
1秒前
Momo01应助jane2020采纳,获得10
2秒前
xixia发布了新的文献求助10
2秒前
3秒前
科研通AI6.4应助zzz采纳,获得10
3秒前
4秒前
maxiangyu完成签到 ,获得积分10
4秒前
术俱伤应助mini采纳,获得20
5秒前
6秒前
满天星完成签到,获得积分10
6秒前
NINI完成签到,获得积分20
6秒前
Mengqi发布了新的文献求助10
6秒前
7秒前
科目三应助arui采纳,获得30
7秒前
chos1n发布了新的文献求助10
7秒前
栉娜方糖完成签到 ,获得积分10
8秒前
9秒前
dnaorange完成签到,获得积分10
9秒前
xin完成签到 ,获得积分10
9秒前
敬业乐群发布了新的文献求助10
9秒前
9秒前
现代绿蓉发布了新的文献求助10
9秒前
10秒前
研究牲发布了新的文献求助10
11秒前
12秒前
胖虎完成签到,获得积分10
13秒前
小石头发布了新的文献求助50
13秒前
14秒前
经友菱完成签到,获得积分10
14秒前
俏俏6325完成签到 ,获得积分10
15秒前
17秒前
Owen应助6036采纳,获得10
17秒前
17秒前
bbcsyk发布了新的文献求助10
17秒前
18秒前
CipherSage应助可爱山彤采纳,获得10
20秒前
谦让的芝完成签到,获得积分10
20秒前
21秒前
sss完成签到,获得积分10
22秒前
大方夏寒完成签到,获得积分10
22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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 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 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 6347085
求助须知:如何正确求助?哪些是违规求助? 8161797
关于积分的说明 17167487
捐赠科研通 5403216
什么是DOI,文献DOI怎么找? 2861326
邀请新用户注册赠送积分活动 1839212
关于科研通互助平台的介绍 1688543