Photocatalyst deactivation in gaseous VOCs photooxidation: Mechanisms, stability enhancement, and regeneration strategies

光催化 再生(生物学) 化学 环境化学 环境科学 光化学 化学工程 催化作用 有机化学 生物 细胞生物学 工程类
作者
Asad Mahmood
出处
期刊:Journal of environmental chemical engineering [Elsevier BV]
卷期号:13 (5): 117569-117569 被引量:8
标识
DOI:10.1016/j.jece.2025.117569
摘要

Air pollution from volatile organic compounds (VOCs) has raised interest in photocatalytic oxidation for air cleaning. However, photocatalysts often lose activity under real conditions. Unlike laboratory settings, real air contains many organic compounds. These can cause competitive adsorption, form reactive byproducts, and poison the surface. As a result, photocatalytic performance drops over time. This review explains the main reasons for deactivation in gas-phase systems. These include the buildup of carbon residues, formation of byproducts with nitrogen or sulfur, coke deposits, and damage to the material’s structure. We also discuss how surface defects, crystal structure, and particle shape affect both activity and durability. Different methods to restore activity are reviewed. These include heating, chemical cleaning, and light-based recovery. We also highlight recent advances in material design. Examples include single-site catalysts and porous structures such as metal organic frameworks. These materials can improve selectivity and resist deactivation. Machine learning is also gaining attention. It can help predict stability and guide the design of better photocatalysts. Although deactivation is widely studied, few reports focus on gas-phase systems with a clear mechanistic view. This review fills that gap. It combines experiments with analysis to support the design of stable and reusable photocatalysts for clean air. • Mechanisms of photocatalyst deactivation during VOCs oxidation. • Strategies to mitigate fouling, poisoning, and structural decay. • Advances in regeneration: thermal, chemical, and photo-assisted. • Emerging roles of single-atom catalysts and TiO₂–MOF hybrids. • Machine learning for predicting stability and guiding catalyst design.
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
111完成签到 ,获得积分10
1秒前
聪慧夏之完成签到,获得积分10
1秒前
小小脑CTS完成签到 ,获得积分10
2秒前
3秒前
3秒前
风格化橙完成签到,获得积分10
4秒前
iitj完成签到,获得积分10
4秒前
6秒前
yygz0703完成签到 ,获得积分10
7秒前
Hien完成签到,获得积分10
12秒前
橙子完成签到 ,获得积分10
13秒前
songrui643完成签到 ,获得积分10
13秒前
素人发布了新的文献求助10
14秒前
17秒前
王俊1314完成签到 ,获得积分10
18秒前
落寞的土豆完成签到 ,获得积分10
24秒前
小公牛完成签到 ,获得积分0
32秒前
奥丁不言语完成签到 ,获得积分10
39秒前
喜悦向日葵完成签到 ,获得积分10
41秒前
42秒前
45秒前
秋风的应助被科研通管家采纳,获得10
45秒前
深情安青的应助被科研通管家采纳,获得10
45秒前
金香宝的应助被科研通管家采纳,获得10
46秒前
秋风的应助被科研通管家采纳,获得10
46秒前
aajhajkahna的应助被科研通管家采纳,获得10
46秒前
aajhajkahna的应助被科研通管家采纳,获得10
46秒前
aajhajkahna的应助被科研通管家采纳,获得10
46秒前
cdercder的应助被科研通管家采纳,获得10
46秒前
充电宝的应助被科研通管家采纳,获得10
46秒前
田様的应助被科研通管家采纳,获得10
47秒前
48秒前
48秒前
wxy完成签到,获得积分20
48秒前
天天玩完成签到,获得积分10
48秒前
king完成签到 ,获得积分10
50秒前
colinbar发布了新的文献求助10
53秒前
清脆的惜萍完成签到,获得积分10
54秒前
1分钟前
水蒸气完成签到,获得积分10
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
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Organizational Behavior 510
Management and the Arts 510
Issues in Task-Based Language Teaching 500
Geschichtliche Grundbegriffe (GGB), Band 5: Pro–Soz 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7785536
求助须知:如何正确求助?哪些是违规求助? 9324445
关于积分的说明 20398716
捐赠科研通 7374136
什么是DOI,文献DOI怎么找? 3321366
关于科研通互助平台的介绍 2469432
邀请新用户注册赠送积分活动 2337788