Analyzing the Evolution of Membrane Fouling via a Novel Method Based on 3D Optical Coherence Tomography Imaging

结垢 光学相干层析成像 膜污染 材料科学 表征(材料科学) 粒子(生态学) 灰度 纳米技术 生物系统 化学工程 化学 光学 地质学 工程类 物理 生物化学 生物 海洋学 像素
作者
Weiyi Li,Xin Liu,Yining Wang,Tzyy Haur Chong,Chuyang Y. Tang,Anthony G. Fane
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:50 (13): 6930-6939 被引量:103
标识
DOI:10.1021/acs.est.6b00418
摘要

The development of novel tools for studying the fouling behavior during membrane processes is critical. This work explored optical coherence tomography (OCT) to quantitatively interpret the formation of a cake layer during a membrane process; the quantitative analysis was based on a novel image processing method that was able to precisely resolve the 3D structure of the cake layer on a micrometer scale. Fouling experiments were carried out with foulants having different physicochemical characteristics (silica nanoparticles and bentonite particles). The cake layers formed at a series of times were digitalized using the OCT-based characterization. The specific deposit (cake volume/membrane surface area) and surface coverage were evaluated as a function of time, which for the first time provided direct experimental evidence for the transition of various fouling mechanisms. Axial stripes were observed in the grayscale plots showing the deposit distribution in the scanned area; this interesting observation was in agreement with the instability analysis that correlated the polarized particle groups with the small disturbances in the boundary layer. This work confirms that the OCT-based characterization is able to provide deep insights into membrane fouling processes and offers a powerful tool for exploring membrane processes with enhanced performance.
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
yuaasusanaann发布了新的文献求助30
2秒前
11完成签到,获得积分10
2秒前
一味地丶逞强完成签到,获得积分10
3秒前
4秒前
5秒前
hhh完成签到,获得积分10
5秒前
Akim应助都安采纳,获得10
5秒前
丘比特应助石头巧克力采纳,获得10
7秒前
心灵美慕蕊完成签到,获得积分10
7秒前
无花果应助lkjhg采纳,获得10
9秒前
小李完成签到 ,获得积分10
10秒前
10秒前
小星完成签到,获得积分10
10秒前
小何在科研完成签到,获得积分10
11秒前
感动秋白发布了新的文献求助10
12秒前
周子博完成签到,获得积分10
12秒前
慕青应助善良的小白菜采纳,获得10
12秒前
共享精神应助dde采纳,获得10
13秒前
守护发布了新的文献求助10
13秒前
顾矜应助dde采纳,获得10
13秒前
整齐兔子完成签到,获得积分10
13秒前
可爱的函函应助dde采纳,获得10
13秒前
腼腆的茉莉应助dde采纳,获得10
14秒前
丘比特应助淡蓝色采纳,获得10
14秒前
CodeCraft应助dde采纳,获得10
14秒前
14秒前
yatou327完成签到,获得积分10
14秒前
15秒前
17秒前
夏彦的华生小姐完成签到,获得积分10
17秒前
越明年应助负责的铅笔采纳,获得10
17秒前
17秒前
爆米花应助瓒ZAN采纳,获得10
20秒前
caoxiongfeng_512完成签到,获得积分10
20秒前
Lancelot完成签到 ,获得积分20
21秒前
刘峰发布了新的文献求助10
21秒前
勇yi发布了新的文献求助10
22秒前
YAN发布了新的文献求助10
22秒前
22秒前
123123发布了新的文献求助10
23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
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 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 7617449
求助须知:如何正确求助?哪些是违规求助? 9192715
关于积分的说明 19701181
捐赠科研通 7189656
什么是DOI,文献DOI怎么找? 3272003
关于科研通互助平台的介绍 2434795
邀请新用户注册赠送积分活动 2267112