Nanofiltration membranes prepared by interfacial polymerization on thin-film nanofibrous composite scaffold

界面聚合 纳滤 聚合 化学工程 材料科学 聚酰胺 再生纤维素 高分子化学 纳米纤维 薄膜复合膜 图层(电子) 复合数 聚合物 化学 单体 纤维素 复合材料 反渗透 工程类 生物化学
作者
Xiaoping Wang,Tsung-Ming Yeh,Zhe Wang,Rui Yang,Ran Wang,Hongyang Ma,Benjamin S. Hsiao,Benjamin Chu
出处
期刊:Polymer [Elsevier]
卷期号:55 (6): 1358-1366 被引量:117
标识
DOI:10.1016/j.polymer.2013.12.007
摘要

Nanofiltration (NF) membranes, consisting of a composite barrier layer prepared by interfacial polymerization of polyamide around the ultra-fine cellulose nanofibers (CN) layer in a thin-film nanofibrous composite (TFNC) scaffold, were demonstrated. Two interfacial polymerization pathways (termed IP and IP-R), regarding the arrangement of the aqueous and organic phases, were investigated. It was found that interfacial polymerization with the aqueous phase above the organic phase (IP-R) yielded better filtration performance, i.e., IP-R based membranes exhibited a higher MgCl2 rejection than IP based membranes. Transmission electron microscopy (TEM) observation indicated that the denser part of the barrier layer was on the CN layer surface of IP-R based membranes, whereas this portion was deeply immersed in the CN layer of IP based membranes. To investigate the structure and property relationship of the composite barrier layer, both IP and IP-R based membranes were treated with 1% trimesoyl chloride (TMC) in hexane. After treatment, the rejection of NaCl was found to increase from 74% to 91% for IP-R based membranes, while remained unchanged (∼75%) for IP based membranes. This behavior can be explained by the decrease in pore size due to the cross-linking of TMC and secondary amino groups in the barrier layer of IP-R based membranes, while the permeability in IP based membranes was probably mainly controlled by the water passage through channels formed at the interface between CN and polymer matrix in the barrier layer of IP based membranes, which is not dependent of the cross-linking reaction.
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
多喝岩浆完成签到,获得积分10
刚刚
酷波er应助饱满的问丝采纳,获得10
刚刚
刚刚
细心蚂蚁发布了新的文献求助10
刚刚
3秒前
3秒前
共享精神应助Tsuki采纳,获得30
3秒前
李爱国应助隐形秋柔采纳,获得10
4秒前
5秒前
veronica发布了新的文献求助10
5秒前
科研通AI6.2应助丝丝采纳,获得10
5秒前
5秒前
5秒前
FashionBoy应助西内!卡Q因采纳,获得10
6秒前
7秒前
7秒前
隐形曼青应助逗叉采纳,获得10
9秒前
9秒前
愉快柏柳发布了新的文献求助10
10秒前
Jasper应助lzs采纳,获得10
11秒前
搜集达人应助伶俐的冥幽采纳,获得10
11秒前
11秒前
阿拉丁发布了新的文献求助10
11秒前
希望天下0贩的0应助晚棠采纳,获得10
12秒前
Sylvia_J发布了新的文献求助10
12秒前
WLY发布了新的文献求助10
13秒前
尊敬彩虹发布了新的文献求助10
13秒前
13秒前
14秒前
活力铃铛完成签到 ,获得积分10
14秒前
无极微光应助喜悦采枫采纳,获得20
15秒前
15秒前
萌二完成签到,获得积分10
16秒前
科研通AI2S应助颜十三采纳,获得10
16秒前
17秒前
一指墨发布了新的文献求助10
17秒前
17秒前
17秒前
18秒前
18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
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
Standard: In-Space Storable Fluid Transfer for Prepared Spacecraft (AIAA S-157-2024) 1000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5949030
求助须知:如何正确求助?哪些是违规求助? 7120212
关于积分的说明 15914589
捐赠科研通 5082170
什么是DOI,文献DOI怎么找? 2732391
邀请新用户注册赠送积分活动 1692845
关于科研通互助平台的介绍 1615544