Application of adsorption process for effective removal of emerging contaminants from water and wastewater

吸附 污染 废水 污染物 环境科学 废物管理 污水处理 化学 环境修复 水处理 生化工程 环境工程 生态学 工程类 有机化学 生物
作者
B. Senthil Rathi,P. Senthil Kumar
出处
期刊:Environmental Pollution [Elsevier BV]
卷期号:280: 116995-116995 被引量:597
标识
DOI:10.1016/j.envpol.2021.116995
摘要

Emerging pollutants in the marine ecosystem, as well as their possible impact on live species, have become a rising cause of worry. A traditional wastewater treatment plants alone are not successful in eliminating such massive contaminant groups and therefore additional water treatment is required which is to be cost effective. Since standard primary and secondary treatment plants are unsuccessful at eliminating or degrading these harmful chemicals, a cost-effective tertiary treatment approach is proposed. Adsorption is a successful approach for Contaminants removal globally, because it is low installation expense, high performance and has easy operational design. Emerging pollutants have been removed from wastewaters using various adsorbents like activated carbons, improved bio chars, Nano adsorbents, hybrid adsorbents, and others. The purpose of this paper is to review the source of contaminants and the concept of adsorption when separating emerging contaminants. The present study aims to examine the adsorption mechanism as an effective approach for treating emerging contaminants. Then, the analysis of natural and man-made adsorbents for the separation of contaminants is examined along with its comparison. Also, future view on emerging contaminants and adsorbents in modern generation has been discussed.
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
1秒前
斯文败类应助云为晓采纳,获得10
2秒前
zou发布了新的文献求助10
2秒前
科研通AI2S应助糕木糕采纳,获得10
3秒前
壮观素发布了新的文献求助10
5秒前
niao完成签到,获得积分10
7秒前
8秒前
11秒前
Lsy发布了新的文献求助10
11秒前
科目三应助早早采纳,获得10
11秒前
15秒前
17秒前
善良的箴发布了新的文献求助10
17秒前
小蘑菇应助11223采纳,获得10
20秒前
烂泥发布了新的文献求助10
22秒前
22秒前
Amazing完成签到 ,获得积分10
26秒前
开放灭绝发布了新的文献求助10
26秒前
30秒前
30秒前
皆如我愿应助壮观素采纳,获得10
30秒前
烂泥完成签到,获得积分10
31秒前
科研通AI6.2应助tx采纳,获得10
31秒前
宁宁宁完成签到 ,获得积分10
32秒前
水月中辉完成签到,获得积分10
33秒前
11223发布了新的文献求助10
33秒前
李爱国应助善良的箴采纳,获得10
34秒前
番茄完成签到,获得积分10
34秒前
宁宁宁关注了科研通微信公众号
35秒前
范慧晨完成签到,获得积分10
37秒前
Owen应助JW采纳,获得10
42秒前
科研通AI6.3应助胖Q采纳,获得10
45秒前
Ava应助寒冷白亦采纳,获得10
46秒前
48秒前
48秒前
SHH完成签到,获得积分20
50秒前
陈仁宇发布了新的文献求助10
51秒前
53秒前
SHH发布了新的文献求助10
54秒前
54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
Adverse weather effects on bus ridership 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 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 6350234
求助须知:如何正确求助?哪些是违规求助? 8164905
关于积分的说明 17180989
捐赠科研通 5406460
什么是DOI,文献DOI怎么找? 2862593
邀请新用户注册赠送积分活动 1840135
关于科研通互助平台的介绍 1689376