Identifying key residual aluminum species responsible for aggravation of nanofiltration membrane fouling in drinking water treatment

作者
Ziyi Yuan,Yunfei Li,Tianyu Li,Jia-long Yao,Jianfeng Zhang,Xiaomao Wang
出处
期刊:Journal of Membrane Science [Elsevier BV]
卷期号:659: 120833-120833 被引量:28
标识
DOI:10.1016/j.memsci.2022.120833
摘要

Residual aluminum has been identified as one of the key foulants responsible for nanofiltration (NF) membrane fouling in drinking water treatment. However, the extent to which each species of residual aluminum contributes to membrane fouling and the underlying mechanisms are not yet clear. In this study, various pretreatments were applied to a lake water, which generated feed waters of different residual aluminum and species distribution. It was found that Ala (monomeric and oligomeric aluminum species) were mainly in the form of complexes (Ala-NOM) with natural organic matter (NOM), with proportions greater than 70%. The membrane fouling experiments showed that NF operation was sensitive to the presence of Ala, in which a small increase in the Ala concentration of the order of tens of μg/L could greatly aggravate membrane fouling. In contrast, Alb and Alc (intermediately and highly polymeric aluminum species) did not contribute substantially to the membrane fouling process. The membrane fouling potential of Ala increased with increasing coexisting NOM concentration. Results showed that Ala and NOM have a synergistic relationship during membrane fouling. More rigorously, Ala-NOM, rather than Ala itself, are therefore the key residual aluminum species that aggravate NF membrane fouling. The Ala produced by polyaluminum chloride (PACl) had a higher membrane fouling potential than that produced by AlCl3, which was due to the lower polymerization degree of Ala and the more stable complexes with NOM formed when PACl was used. Use of AlCl3 as a coagulant would therefore mitigate NF membrane fouling caused by residual aluminum.
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
夏雨琪完成签到,获得积分10
1秒前
Caroline发布了新的文献求助10
1秒前
han完成签到 ,获得积分10
2秒前
酷波er应助peaunt采纳,获得10
3秒前
4秒前
micor应助tzjz_zrz采纳,获得10
5秒前
zjyxdb1111完成签到,获得积分10
6秒前
wang发布了新的文献求助10
7秒前
情怀应助echoxq采纳,获得10
7秒前
科研通AI6.2应助echoxq采纳,获得10
7秒前
研友_VZG7GZ应助echoxq采纳,获得10
7秒前
汉堡包应助echoxq采纳,获得10
7秒前
小蘑菇应助Fu采纳,获得30
8秒前
桐桐应助lll采纳,获得10
9秒前
9秒前
wang完成签到,获得积分10
13秒前
研友_VZG7GZ应助咻咻采纳,获得10
13秒前
WYJ发布了新的文献求助10
13秒前
义气的成危完成签到,获得积分20
13秒前
bkagyin应助科研通管家采纳,获得10
13秒前
共享精神应助科研通管家采纳,获得10
13秒前
Kao应助科研通管家采纳,获得10
13秒前
完美世界应助科研通管家采纳,获得10
14秒前
xuejingling应助科研通管家采纳,获得10
14秒前
14秒前
zsy完成签到,获得积分10
14秒前
科研通AI6.3应助echoxq采纳,获得10
14秒前
14秒前
14秒前
田様应助echoxq采纳,获得10
14秒前
Dan_Young应助科研通管家采纳,获得50
14秒前
科研通AI6.2应助echoxq采纳,获得10
14秒前
共享精神应助echoxq采纳,获得10
14秒前
Copyright应助科研通管家采纳,获得10
14秒前
科研通AI6.2应助echoxq采纳,获得10
14秒前
Kao应助科研通管家采纳,获得10
14秒前
科研通AI6.4应助echoxq采纳,获得10
14秒前
科研通AI6.2应助echoxq采纳,获得10
14秒前
xuejingling应助科研通管家采纳,获得10
14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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Introducing the Learning Sciences 600
Resiliency Scale for Adolescents--Chinese Version 600
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 7321465
求助须知:如何正确求助?哪些是违规求助? 8937092
关于积分的说明 18947162
捐赠科研通 6979516
什么是DOI,文献DOI怎么找? 3214770
关于科研通互助平台的介绍 2382407
邀请新用户注册赠送积分活动 2194038