Deciphering the role of commercial nanofiltration membranes in removing 30 per-and polyfluoroalkyl substances: performances, mechanisms and implications

纳滤 化学 污染物 膜技术 废水 碳链 环境化学 降级(电信) 水处理 污水处理 色谱法 化学工程 碳纤维 生物累积 静电 工业废水处理 碳纳米管
作者
Sisi Xu,Wenkai Jiang,Feiyong Chen,Yuanyuan Li,Hua Tang,Zijian Ye,Chaoyang Liu,Xuewu Zhu
标识
DOI:10.6084/m9.figshare.31113243
摘要

Per- and polyfluoroalkyl substances (PFASs) are bioaccumulative and highly stable in ecosystems, posing potential toxicity risks to human health. Membrane treatment has become a critical research area in current treatment technologies for PFASs. In this study, we selected five commercial nanofiltration (NF) membranes to investigate the performance of the membrane structure on treating 30 PFASs in simulated and industrial wastewater. The results indicated that the rejection of 30 PFASs exceeded 65% for all membranes. The performances of NF90 and DK membranes were better than others, whereas the treatment efficiency of the NF270 membrane was the lowest for most PFASs. Under the experimental conditions, NF90 membrane exhibited the highest surface negative charge and the lowest molecular weight cut-off (MWCO), resulting in relatively stronger electrostatic repulsion and size exclusion effects, which were the key factors influencing PFASs removal efficiency. For all membranes, the rejections were higher for PFASs with long carbon chains and strong hydrophobicity. The treatment efficiencies were higher for PFSAs with smaller pKa and LogKow, compared to PFCAs with the same carbon chain length, showing that electrostatic repulsion and hydrophobic interactions resulted in better efficiency. Furthermore, coexisting pollutants in the actual wastewater could have different impacts on the treatment outcomes by influencing factors such as pH and blocking membrane pores. This work presents an environmentally friendly and efficient method for removing PFASs from wastewater and provides insights into the separation mechanism of NF membranes for dozens of PFASs.
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
刚刚
1秒前
一介书生应助百威sama采纳,获得10
1秒前
卿霜发布了新的文献求助10
2秒前
威武无施发布了新的文献求助10
5秒前
夜轩岚发布了新的文献求助10
5秒前
MingH发布了新的文献求助10
6秒前
6秒前
woshi123应助灵巧傥采纳,获得10
6秒前
7秒前
7秒前
CipherSage应助活力数据线采纳,获得10
8秒前
icreat关注了科研通微信公众号
9秒前
9秒前
所就欧克完成签到,获得积分10
9秒前
大白完成签到,获得积分10
10秒前
11秒前
bocheng发布了新的文献求助10
11秒前
giotto完成签到,获得积分10
13秒前
souven发布了新的文献求助10
13秒前
XZM发布了新的文献求助10
14秒前
英俊的铭应助锅包肉采纳,获得10
14秒前
Lucas应助期刊采纳,获得10
16秒前
juan完成签到 ,获得积分10
17秒前
17秒前
17秒前
17秒前
健壮的鑫鹏完成签到,获得积分10
18秒前
19秒前
molihuakai应助zhai采纳,获得10
19秒前
一介书生应助百威sama采纳,获得10
20秒前
hamster666关注了科研通微信公众号
22秒前
23秒前
23秒前
24秒前
脑洞疼应助icreat采纳,获得10
24秒前
bowentown发布了新的文献求助10
24秒前
威武无施发布了新的文献求助10
24秒前
rtf完成签到 ,获得积分10
24秒前
25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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 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 7639181
求助须知:如何正确求助?哪些是违规求助? 9212258
关于积分的说明 19761736
捐赠科研通 7205849
什么是DOI,文献DOI怎么找? 3275976
关于科研通互助平台的介绍 2437529
邀请新用户注册赠送积分活动 2273227