Rheology and phase inversion behavior of polyphenylenesulfone (PPSU) and sulfonated PPSU for membrane formation

相位反转 聚合物 材料科学 化学工程 高分子化学 流变学 化学 复合材料 生物化学 工程类
作者
Yingnan Feng,Gang Han,Liling Zhang,Shing-Bor Chen,Tai‐Shung Chung,Martin Weber,Claudia Staudt,Christian Maletzko
出处
期刊:Polymer [Elsevier]
卷期号:99: 72-82 被引量:93
标识
DOI:10.1016/j.polymer.2016.06.064
摘要

Abstract Polyphenylenesulfone (PPSU) is widely used as a membrane material for water reuse applications because of its good chemical resistance, hydrolysis stability and outstanding mechanical strength. However, due to its hydrophobic nature, fouling and relatively low water permeability are potential drawbacks of PPSU membranes. Sulfonation of PPSU could significantly improve the hydrophilicity but compromise the mechanical strength. Moreover, the degree of sulfonation has great influences on the solution properties of the sulfonated PPSU (sPPSU) dopes. This study aims to investigate the rheological properties and phase separation behavior of PPSU and sPPSU polymers with various degrees of sulfonation, and disclose their molecular-level interactions. With relatively low degrees of sulfonation, sPPSU polymers exhibit much larger viscosity and dynamic moduli than PPSU, particularly at higher polymer concentrations. The sPPSU polymers also possess greater non-solvent (i.e., water) tolerance and display delayed demixing behavior for phase inversion. Molecular dynamics (MD) simulation shows that the π–π stacking of aromatic rings and hydrogen bonding among the sulfonic acid groups are the main interactions between the polymer molecules. The flat-sheet sPPSU membranes cast by the non-solvent induced phase separation (NIPS) method exhibit high water permeability with morphology closely correlated to the rheological properties and phase inversion characteristics of the polymer solutions. This fundamental study may provide pertinent insights of design strategies to prepare hydrophilic membranes from sulfonated polymers.
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
doudoulong完成签到,获得积分10
1秒前
毕之发布了新的文献求助10
1秒前
1秒前
lixiao完成签到,获得积分10
2秒前
3秒前
小雅完成签到,获得积分10
3秒前
阿居发布了新的文献求助10
4秒前
4秒前
4秒前
5秒前
顾矜应助噜噜晓采纳,获得10
6秒前
7秒前
在水一方应助yqy1234采纳,获得10
7秒前
爆米花应助阿腾采纳,获得10
8秒前
yl完成签到,获得积分10
8秒前
狂野的皮带完成签到,获得积分10
8秒前
quanquan发布了新的文献求助10
8秒前
蓝莓橘子酱应助木鱼采纳,获得10
9秒前
9秒前
万能图书馆应助晴枫3648采纳,获得10
10秒前
温暖幻桃发布了新的文献求助10
10秒前
11秒前
Jazmin完成签到,获得积分20
12秒前
12秒前
单薄茗完成签到,获得积分10
13秒前
13秒前
猪爸爸发布了新的文献求助10
15秒前
15秒前
16秒前
义气的白安关注了科研通微信公众号
16秒前
流星发布了新的文献求助10
16秒前
TT完成签到,获得积分20
16秒前
百里发布了新的文献求助10
18秒前
18秒前
19秒前
asdf应助西洲采纳,获得10
20秒前
20秒前
英俊的铭应助Tzzl0226采纳,获得10
21秒前
young发布了新的文献求助10
21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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6039868
求助须知:如何正确求助?哪些是违规求助? 7771992
关于积分的说明 16228343
捐赠科研通 5185866
什么是DOI,文献DOI怎么找? 2775119
邀请新用户注册赠送积分活动 1758053
关于科研通互助平台的介绍 1641994