Elucidating the Trade-off between Membrane Wetting Resistance and Water Vapor Flux in Membrane Distillation

润湿 膜蒸馏 化学工程 焊剂(冶金) 材料科学 蒸馏 化学 海水淡化 水蒸气 色谱法 有机化学 生物化学 工程类
作者
Chenxi Li,Xuesong Li,Xuewei Du,Ying Zhang,Wei Wang,Tiezheng Tong,Arun K. Kota,Jongho Lee
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:54 (16): 10333-10341 被引量:97
标识
DOI:10.1021/acs.est.0c02547
摘要

Membrane distillation (MD) has been receiving considerable attention as a promising technology for desalinating industrial wastewaters. While hydrophobic membranes are essential for the process, increasing membrane surface hydrophobicity generally leads to the reduction of water vapor flux. In this study, we investigate the mechanisms responsible for this trade-off relation in MD. We prepared hydrophobic membranes with different degrees of wetting resistance through coating quartz fiber membranes with a series of alkylsilane molecules while preserving the fiber structures. A trade-off between wetting resistance and water vapor flux was observed in direct-contact MD experiments, with the least-wetting-resistant membrane exhibiting twice as high vapor flux as the most wetting-resistant membrane. Electrochemical impedance analysis, combined with fluorescence microscopy, elucidated that a lower wetting resistance (still water-repelling) allows deeper penetration of the liquid-air interfaces into the membrane, resulting in an increased interfacial area and therefore a larger evaporative vapor flux. Finally, we performed osmotic distillation experiments employing anodized alumina membranes that possess straight nanopores with different degrees of wetting resistance, observed no trade-off, and substantiated this proposed mechanism. Our study provides a guideline to tailor the membrane surface wettability to ensure stable MD operations while maximizing the water recovery rate.
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
行大运完成签到,获得积分10
刚刚
爱小妍发布了新的文献求助10
4秒前
一二完成签到,获得积分10
4秒前
4秒前
cure发布了新的文献求助10
5秒前
5秒前
7秒前
所所应助LiZF采纳,获得10
7秒前
竹简完成签到,获得积分10
7秒前
ghp发布了新的文献求助10
9秒前
10秒前
追风少年发布了新的文献求助10
10秒前
zzz完成签到,获得积分10
11秒前
jing完成签到,获得积分20
12秒前
左左曦发布了新的文献求助10
12秒前
塇塇发布了新的文献求助10
14秒前
15秒前
17秒前
我要发nature完成签到,获得积分10
18秒前
20秒前
隐形安萱发布了新的文献求助20
20秒前
沐子发布了新的文献求助10
23秒前
23秒前
23秒前
26秒前
JamesPei应助科研通管家采纳,获得10
26秒前
科研通AI2S应助科研通管家采纳,获得10
27秒前
bkagyin应助科研通管家采纳,获得30
27秒前
bkagyin应助科研通管家采纳,获得10
27秒前
Jasper应助科研通管家采纳,获得30
27秒前
27秒前
27秒前
27秒前
27秒前
酷波er应助科研通管家采纳,获得10
27秒前
善良冰颜发布了新的文献求助10
28秒前
Zjjj0812发布了新的文献求助10
29秒前
30秒前
30秒前
机灵紫萱完成签到,获得积分10
32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
Cronologia da história de Macau 5000
Merrill's Atlas of Radiographic Positioning and Procedures - 3-Volume Set, 16th Edition 2000
Petrology and Plate Tectonics 800
Matrix Methods in Data Mining and Pattern Recognition 540
Trees of tropical Asia : an illustrated guide to diversity 500
Materials Informatics Molecules, Crystals and Beyond A volume in Acta Materialia Book Series 400
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 7047669
求助须知:如何正确求助?哪些是违规求助? 8713473
关于积分的说明 18449587
捐赠科研通 6562920
什么是DOI,文献DOI怎么找? 3119045
关于科研通互助平台的介绍 2205611
邀请新用户注册赠送积分活动 2094446