清晨好,您是今天最早来到科研通的研友!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,伴您科研之路漫漫前行!

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
赘婿应助tangzhidi采纳,获得10
32秒前
我是老大应助tangzhidi采纳,获得80
32秒前
科研通AI6.4应助tangzhidi采纳,获得10
32秒前
科研通AI6.3应助tangzhidi采纳,获得10
33秒前
三脸茫然完成签到 ,获得积分0
47秒前
负责惊蛰完成签到 ,获得积分10
57秒前
Benhnhk21完成签到,获得积分10
58秒前
搜集达人应助野椒搞科研采纳,获得30
1分钟前
22336应助科研通管家采纳,获得20
2分钟前
天天快乐应助野椒搞科研采纳,获得10
2分钟前
2分钟前
2分钟前
酷酷从凝完成签到,获得积分20
2分钟前
充电宝应助野椒搞科研采纳,获得10
2分钟前
2分钟前
3分钟前
3分钟前
3分钟前
3分钟前
大熊完成签到 ,获得积分10
3分钟前
3分钟前
tangzhidi发布了新的文献求助10
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
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
Health Psychology 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 7592179
求助须知:如何正确求助?哪些是违规求助? 9169325
关于积分的说明 19626028
捐赠科研通 7170455
什么是DOI,文献DOI怎么找? 3267480
关于科研通互助平台的介绍 2432371
邀请新用户注册赠送积分活动 2259988