Influence and mechanism of water matrices on H2O2-based Fenton-like oxidation processes: A review

化学 碳酸氢盐 硝酸盐 碳酸盐 磷酸盐 无机化学 催化作用 无机离子 腐植酸 激进的 污染物 水处理 硫酸盐 降级(电信) 环境化学 离子 环境工程 有机化学 肥料 电信 计算机科学 工程类
作者
Xiaoshuang Cheng,Lan Liang,Jingya Ye,Ning Li,Beibei Yan,Guanyi Chen
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:888: 164086-164086 被引量:89
标识
DOI:10.1016/j.scitotenv.2023.164086
摘要

Water matrices often coexist with the target pollutant during H2O2-based Fenton-like processes, which affects H2O2 activation and pollutant removal. Specifically, water matrices include inorganic anions (such as chloride, sulfate, nitrate, bicarbonate, carbonate and phosphate ions) and natural organic matters (such as humic acid (HA) and fulvic acid (FA)). In this review, the roles and mechanisms of water matrices in various Fenton-like systems were analyzed and summarized comprehensively. Carbonate and phosphate ions usually act as inhibitors. In contrast, the effects of other water matrices are usually controversial. Generally, water matrices can inhibit pollutants degradation through scavenging OH, forming low reactive radicals, adsorbing on catalyst sites, and changing solution pH. However, inorganic anions can exhibit a promotion effect, which is attributed to their complexation with copper ions in mixed contaminants as well as with cobalt and copper ions in catalysts. Furthermore, the photo-reactivity of nitrate and the generation of secondary radicals with long lifetime are conducive to the promotion of inorganic anions. Besides, HA (FA) can be activated by external energy or act as electron shuttle, thus displaying a facilitative effect. This review will provide guidance for the practical applications of the Fenton-like process.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
小祺完成签到,获得积分10
刚刚
SweetJoy发布了新的文献求助10
1秒前
慕青应助扶苏采纳,获得10
1秒前
1秒前
1秒前
从烷烃开始重新生长完成签到,获得积分10
1秒前
2秒前
2秒前
2秒前
bkagyin应助默默幼南采纳,获得10
3秒前
柳七发布了新的文献求助80
3秒前
花南星发布了新的文献求助10
3秒前
3秒前
xiaoxiao完成签到,获得积分10
3秒前
宅宅完成签到 ,获得积分10
4秒前
大卫戴完成签到 ,获得积分10
4秒前
4秒前
西xi发布了新的文献求助10
4秒前
5秒前
小爽完成签到,获得积分0
5秒前
秋蚓完成签到 ,获得积分10
5秒前
wille完成签到,获得积分10
5秒前
韩玉霖完成签到,获得积分10
5秒前
哈哈哈发布了新的文献求助10
5秒前
哈哈哈哈哈完成签到,获得积分10
6秒前
alec完成签到,获得积分10
6秒前
繁星若尘发布了新的文献求助10
6秒前
科斯4sis发布了新的文献求助10
6秒前
呀呀呀完成签到,获得积分10
7秒前
yue完成签到,获得积分10
7秒前
7秒前
SYLH应助CongCong0303采纳,获得10
7秒前
7秒前
7秒前
7秒前
朴实初夏完成签到,获得积分10
7秒前
sily发布了新的文献求助10
7秒前
8秒前
8秒前
高分求助中
【请各位用户详细阅读此贴后再求助】科研通的精品贴汇总(请勿应助) 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Research on Disturbance Rejection Control Algorithm for Aerial Operation Robots 1000
Global Eyelash Assessment scale (GEA) 1000
Comparison analysis of Apple face ID in iPad Pro 13” with first use of metasurfaces for diffraction vs. iPhone 16 Pro 500
Towards a $2B optical metasurfaces opportunity by 2029: a cornerstone for augmented reality, an incremental innovation for imaging (YINTR24441) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 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 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4049364
求助须知:如何正确求助?哪些是违规求助? 3587318
关于积分的说明 11399067
捐赠科研通 3313808
什么是DOI,文献DOI怎么找? 1822987
邀请新用户注册赠送积分活动 894919
科研通“疑难数据库(出版商)”最低求助积分说明 816617