Potential of Advanced Oxidation as Pretreatment for Microplastics Biodegradation

微塑料 生物降解 污染物 聚丙烯 聚氯乙烯 聚乙烯 化学 环境化学 废物管理 环境科学 制浆造纸工业 生化工程 有机化学 工程类
作者
Kristina Bule Možar,Martina Miloloža,Viktorija Martinjak,Matija Cvetnić,Hrvoje Kušić,Tomislav Bolanča,Dajana Kučić Grgić,Šime Ukić
出处
期刊:Separations [Multidisciplinary Digital Publishing Institute]
卷期号:10 (2): 132-132 被引量:47
标识
DOI:10.3390/separations10020132
摘要

In the last two decades, microplastics (MP) have been identified as an emerging environmental pollutant. Due to their small size, MP particles may easily enter the food chain, where they can have adverse effects on organisms and the environment in general. The common methods for the removal of pollutants from the environment are not fully effective in the elimination of MP; thus, it is necessary to find a more suitable treatment method(s). Among the various approaches tested, biodegradation is by far the most environmentally friendly and economically acceptable remediation approach. However, it has serious drawbacks, generally related to the rather low removal rate and often insufficient efficiency. Therefore, it would be beneficial to use some of the less economical but more efficient methods as pretreatment prior to biodegradation. Such pretreatment would primarily serve to increase the roughness and hydrophilicity of the surface of MP, making it more susceptible to bioassimilation. This review focuses on advanced oxidation processes (AOPs) as treatment methods that can enhance the biodegradation of MP particles. It considers MP particles of the six most commonly used plastic polymers, namely: polyethylene, polypropylene, polystyrene, polyvinyl chloride, polyethylene terephthalate and polyurethane. The review highlights organisms with a high potential for biodegradation of selected MP particles and presents the potential benefits that AOP pretreatment can provide for MP biodegradation.
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
Orange应助无奈的映阳采纳,获得50
1秒前
Sylar完成签到,获得积分10
1秒前
科研通AI6.4应助沙尘白霍采纳,获得10
2秒前
2秒前
Kao应助糊涂涂采纳,获得10
3秒前
3秒前
4秒前
ding应助科研小白采纳,获得10
5秒前
冲冲冲!发布了新的文献求助10
5秒前
5秒前
AAA完成签到,获得积分10
5秒前
5秒前
6秒前
1122完成签到,获得积分20
6秒前
6秒前
科研通AI6.4应助d叨叨鱼采纳,获得10
6秒前
晶婷发布了新的文献求助10
6秒前
爆米花应助zzpp采纳,获得10
7秒前
科研通AI6.3应助celtics采纳,获得10
7秒前
李宏梅完成签到,获得积分10
7秒前
lzzzz发布了新的文献求助10
8秒前
dw发布了新的文献求助10
9秒前
GOAT发布了新的文献求助50
9秒前
小螃蟹完成签到 ,获得积分10
9秒前
binghua发布了新的文献求助10
10秒前
1122发布了新的文献求助10
10秒前
nashanbei发布了新的文献求助10
11秒前
d叨叨鱼发布了新的文献求助10
11秒前
12秒前
完美世界应助可靠白安采纳,获得10
13秒前
13秒前
李彦完成签到,获得积分10
15秒前
15秒前
xin完成签到 ,获得积分10
16秒前
宋呵呵完成签到,获得积分10
16秒前
Guo1020181发布了新的文献求助10
17秒前
17秒前
17秒前
咸鸭蛋完成签到 ,获得积分10
17秒前
科研通AI6.3应助dw采纳,获得10
18秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7254448
求助须知:如何正确求助?哪些是违规求助? 8876486
关于积分的说明 18742418
捐赠科研通 6934996
什么是DOI,文献DOI怎么找? 3200159
关于科研通互助平台的介绍 2374790
邀请新用户注册赠送积分活动 2175112