中国科学(化学)2024,Vol.54Issue(12) :2361-2376.DOI:10.1360/SSC-2024-0183

基于单线态氧的类芬顿水处理技术研究进展

Advances in Fenton-like water treatment technologies based on singlet oxygen

何瑶 杨晴 罗靖沅 刘怀元 张圆正 殷立峰 牛军峰
中国科学(化学)2024,Vol.54Issue(12) :2361-2376.DOI:10.1360/SSC-2024-0183

基于单线态氧的类芬顿水处理技术研究进展

Advances in Fenton-like water treatment technologies based on singlet oxygen

何瑶 1杨晴 2罗靖沅 1刘怀元 3张圆正 1殷立峰 4牛军峰1
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作者信息

  • 1. 资源环境系统优化教育部重点实验室,华北电力大学环境科学与工程学院,北京 102206
  • 2. 水质与水生态研究中心,清华大学环境学院,北京 100084
  • 3. 中国石油兰州石化公司,兰州 730060
  • 4. 水环境模拟国家重点实验室,北京师范大学环境学院,北京 100875
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摘要

非均相类芬顿氧化技术被认为是极具前景的水处理技术之一,但在实际应用中仍面临氧化剂利用率低以及水基质消耗严重的限制.近年来,以单线态氧(1O2)为主要氧化物种的类芬顿反应,因强亲电性、较长的半衰期和较强的环境抗干扰性能,在选择性降解复杂废水中的目标污染物方面展现出独特优势.本文首先系统总结了类芬顿反应中1O2的生成机制,阐述了影响1O2选择性生成的关键因素;其次,深入分析了多种用于检测和识别1O2非自由基的方法,指出了它们在定性和定量方面的优势与不足,并提出了相应的对应策略;最后,介绍了1O2主导的类芬顿技术在水质净化中的应用进展,并探讨了该研究领域面临的挑战及未来的发展趋势.

Abstract

Heterogeneous Fenton-like oxidation technology is considered one of the most promising water treatment methods.However,its practical application is limited by the low utilization efficiency of oxidants and significant consumption by water matrices.Recently,Fenton-like reactions that generate singlet oxygen(1O2)as the primary reactive species have demonstrated unique advantages in selectively degrading target pollutants in complex wastewater due to its strong electrophilicity,relatively long half-life,and robust environmental resistance.This paper systematically summarizes the generation mechanisms of 1O2 in Fenton-like reactions and elucidates the key factors influencing the selective generation of 1O2.Various non-radical detection and identification methods for 1O2 are then thoroughly analyzed,highlighting their qualitative and quantitative strengths and weaknesses along with corresponding strategies.Finally,the progress in applying 1O2-dominated Fenton-like technologies in water purification is reviewed,and the challenges and future trends in this research field are discussed.

关键词

类芬顿/单线态氧/选择性/检测识别/水处理

Key words

Fenton-like/singlet oxygen/selectivity/detection and identification/water treatment

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出版年

2024
中国科学(化学)
中国科学院

中国科学(化学)

CSTPCD北大核心
影响因子:0.685
ISSN:1674-7224
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