亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Novel eco-friendly polylactic acid nanocomposite integrated membrane system for sustainable wastewater treatment: Performance evaluation and antifouling analysis

聚乳酸 生物污染 环境友好型 纳米复合材料 废水 废物管理 化学 环境科学 材料科学 纳米技术 工程类 复合材料 聚合物 生态学 生物 生物化学
作者
Stefano Cairone,Hanaa M. Hegab,Hiyam Khalil,Lobna Nassar,Vijay S. Wadi,Vincenzo Naddeo,Shadi W. Hasan
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:912: 168715-168715 被引量:10
标识
DOI:10.1016/j.scitotenv.2023.168715
摘要

Water contamination caused by heavy metals, nutrients, and organic pollutants of varying particle sizes originating from domestic and industrial processes poses a significant global challenge. There is a growing concern, particularly regarding the presence of heavy metals in freshwater sources, as they can be toxic even at low concentrations, posing risks to human health and the environment. Currently, membrane technologies are recognized as effective and practical for treating domestic and industrial wastewater. However, these technologies are hindered by fouling issues. Furthermore, the utilization of conventional membranes leads to the accumulation of non-recyclable synthetic polymers, commonly used in their production, resulting in adverse environmental consequences. In light of our previously published studies on environmentally friendly, biodegradable polylactic acid (PLA) nanocomposite mixed matrix membranes (MMMs), we selected two top-performing PLA-based ultrafiltration nanocomposite membranes: one negatively charged (PLA-M−) and one positively charged (PLA-M+). We integrated these membranes into systems with varying arrangements to control fouling and eliminate heavy metals, organic pollutants, and nutrients from raw municipal wastewater collected by the local wastewater treatment plant in Abu Dhabi (UAE). The performance of two integrated systems (i.e., PLA-M+/PLA-M− and PLA-M−/PLA-M+) was compared in terms of permeate flux, contaminant removal efficiencies, and fouling mitigation. The PLA-M+/PLA-M− system achieved removal efficiencies of 79.6 %, 92.6 %, 88.7 %, 85.2 %, 98.9 %, 94 %, 83.3 %, and 98.3 % for chemical oxygen demand (COD), nitrate (NO3−-N), phosphate (PO43−-P), ammonium (NH4+-N), iron (Fe), zinc (Zn), nickel (Ni), and copper (Cu), respectively. On the other hand, the PLA-M−/PLA-M+ system recorded removal efficiencies of 85.8 %, 95.9 %, 100 %, 81.9 %, 99.3 %, 91.9 %, 72.9 %, and 98.9 % for COD, NO3−-N, PO43−-P, NH4+-N, Fe, Zn, Ni, and Cu, respectively. Notably, the PLA-M−/PLA-M+ system demonstrated superior antifouling resistance, making it the preferred integrated system. These findings demonstrate the potential of eco-friendly PLA nanocomposite UF-MMMs as a promising alternative to petroleum-based polymeric membranes for efficient and sustainable wastewater treatment.

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
Kao应助gtgwm采纳,获得10
2秒前
丰富的灭绝完成签到 ,获得积分10
2秒前
3秒前
粟梦离发布了新的文献求助10
5秒前
AA完成签到,获得积分20
13秒前
和谐的易真完成签到,获得积分10
21秒前
Komorebi完成签到,获得积分10
23秒前
坚定的问芙完成签到,获得积分10
38秒前
粟梦离完成签到,获得积分10
42秒前
51秒前
59秒前
酷波er应助一见喜采纳,获得10
1分钟前
丘比特应助斯文麦片采纳,获得10
1分钟前
笨笨听双完成签到 ,获得积分10
1分钟前
tianya完成签到,获得积分10
1分钟前
1分钟前
一见喜发布了新的文献求助10
1分钟前
1分钟前
DY应助康K采纳,获得10
1分钟前
上官若男应助过时的幻竹采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
Elthrai完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
orixero应助didi采纳,获得10
1分钟前
tiara完成签到 ,获得积分10
1分钟前
专注的从筠完成签到,获得积分10
2分钟前
斯文麦片发布了新的文献求助10
2分钟前
留柿完成签到,获得积分10
2分钟前
华仔应助过时的幻竹采纳,获得10
2分钟前
重要的黎昕完成签到,获得积分20
2分钟前
顾矜应助兰兰不懒采纳,获得10
2分钟前
2分钟前
思源应助耍酷大山采纳,获得10
2分钟前
脑洞疼应助耍酷大山采纳,获得10
2分钟前
小马甲应助耍酷大山采纳,获得10
2分钟前
Owen应助耍酷大山采纳,获得10
2分钟前
高分求助中
Markov Chain Monte Carlo 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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 1500
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7512737
求助须知:如何正确求助?哪些是违规求助? 9101221
关于积分的说明 19426468
捐赠科研通 7119236
什么是DOI,文献DOI怎么找? 3253251
关于科研通互助平台的介绍 2422071
邀请新用户注册赠送积分活动 2239761