Unlocking the potential of thin-film composite reverse osmosis membrane performance: Insights from mass transfer modeling

薄膜复合膜 反渗透 正渗透 传质 海水淡化 渗透 生化工程 过程(计算) 工艺工程 盐(化学) 计算机科学 材料科学 纳米技术 化学 工程类 色谱法 物理化学 操作系统 生物化学
作者
Kexin Yuan,Yu-Lei Liu,Haoran Feng,Yi Liu,Jun Cheng,Beiyang Luo,Qinglian Wu,Xinyu Zhang,Ying Wang,Xian Bao,Wanqian Guo,Jun Ma
出处
期刊:Chinese Chemical Letters [Elsevier BV]
卷期号:35 (5): 109022-109022 被引量:5
标识
DOI:10.1016/j.cclet.2023.109022
摘要

Thin-film composite (TFC) reverse osmosis (RO) membranes have attracted considerable attention in water treatment and desalination processes due to their specific separation advantages. Nevertheless, the trade-off effect between water flux and salt rejection poses huge challenges to further improvement in TFC RO membrane performance. Numerous research works have been dedicated to optimizing membrane fabrication and modification for addressing this issue. In the meantime, several reviews summarized these approaches. However, the existing reviews seldom analyzed these methods from a theoretical perspective and thus failed to offer effective optimization directions for the RO process from the root cause. In this review, we first propose a mass transfer model to facilitate a better understanding of the entire process of how water and solute permeate through RO membranes in detail, namely the migration process outside the membrane, the dissolution process on the membrane surface, and the diffusion process within the membrane. Thereafter, the water and salt mass transfer behaviors obtained from model deduction are comprehensively analyzed to provide potential guidelines for alleviating the trade-off effect between water flux and salt rejection in the RO process. Finally, inspired by the theoretical analysis and the accurate identification of existing bottlenecks, several promising strategies for both regulating RO membranes and optimizing operational conditions are proposed to further exploit the potential of RO membrane performance. This review is expected to guide the development of high-performance RO membranes from a mass transfer theory standpoint.
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
gaoww发布了新的文献求助10
刚刚
刚刚
1秒前
a衍发布了新的文献求助10
1秒前
1秒前
乐天完成签到,获得积分10
3秒前
3秒前
4秒前
5秒前
5秒前
顾矜应助songyl采纳,获得10
5秒前
封玉玲发布了新的文献求助10
6秒前
6秒前
乌龟娟发布了新的文献求助10
6秒前
立立青发布了新的文献求助10
7秒前
7秒前
郭俊宏发布了新的文献求助10
8秒前
领导范儿应助郭婧采纳,获得10
9秒前
咋了完成签到,获得积分10
9秒前
小何发布了新的文献求助30
10秒前
10秒前
跳跃靖发布了新的文献求助10
11秒前
Jasper应助han采纳,获得10
11秒前
11秒前
szcx应助maclogos采纳,获得10
12秒前
研友_ZbM2qn发布了新的文献求助10
12秒前
慕青应助李李采纳,获得10
13秒前
14秒前
16秒前
田様应助April采纳,获得10
16秒前
三月发布了新的文献求助10
17秒前
博士完成签到,获得积分10
17秒前
高挑的如花完成签到,获得积分20
17秒前
18秒前
18秒前
封玉玲完成签到,获得积分10
19秒前
科研通AI6.4应助大土豆采纳,获得10
19秒前
十二完成签到,获得积分10
19秒前
酷炫马里奥完成签到,获得积分10
20秒前
所所应助重要的远锋采纳,获得10
22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
The Multiple Self-States Drawing Technique 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7770478
求助须知:如何正确求助?哪些是违规求助? 9313422
关于积分的说明 20333753
捐赠科研通 7355769
什么是DOI,文献DOI怎么找? 3316437
关于科研通互助平台的介绍 2465106
邀请新用户注册赠送积分活动 2331247