RDL logo
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
​
​
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Effects of different surfactant properties on anti-wetting behaviours of an omniphobic membrane in membrane distillation

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
English
2021

Effects of different surfactant properties on anti-wetting behaviours of an omniphobic membrane in membrane distillation

0 Datasets

0 Files

English
2021
Journal of Membrane Science
Vol 634
DOI: 10.1016/j.memsci.2021.119433

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
A Ghani Razaqpur
A Ghani Razaqpur

McMaster University

Verified
Xiangjun Liao
Yuqi Wang
Yuan Liao
+3 more

Abstract

Surfactant-induced membrane wetting remains a severe challenge for MD membranes, even for omniphobic membranes. The anti-wetting characteristic of the omniphobic membrane engendered by surfactant-contained feed solutions have not been systematically studied. In this work, a robust omniphobic membrane #PVDF-F with a super liquid-repellent property was developed. It involved constructing a fluorinated re-entrant structure on a dopamine-coated polyvinylidene fluoride (PVDF) nanofibrous membrane. Four different ionic surfactants, including sodium lauryl sulfonate (SLS), sodium dodecyl sulfonate (SDS), dodecyl trimethyl ammonium bromide (DTAB) and cetyl trimethyl ammonium bromide (CTAB) were added into the 3.5 wt% NaCl feed solutions to evaluate the anti-wetting performances of as-developed omniphobic, control nanofibrous and commercial PVDF membranes. Compared to SLS, the SDS with a higher hydrophilic-lipophilic balance (HLB) value tends to stay in the feed solution and reduces the surface tension of feed solution, thereby accelerating membrane wetting. Besides, when the experimental dosage (E d) is above its theoretical critical micelle concentration (CMC) value, the excessive free surfactant molecules form micelles and instantly adsorb onto membrane pore walls, promoting both convection and diffusion toward the permeate side and accelerating membrane wetting. Nonetheless, the omniphobic membrane still exhibited the most stable MD performance when treating the surfactant-stabilized oil-in-water emulsion.

How to cite this publication

Xiangjun Liao, Yuqi Wang, Yuan Liao, Xiaofei You, Lei Yao, A Ghani Razaqpur (2021). Effects of different surfactant properties on anti-wetting behaviours of an omniphobic membrane in membrane distillation. Journal of Membrane Science, 634, pp. 119433-119433, DOI: 10.1016/j.memsci.2021.119433.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2021

Authors

6

Datasets

0

Total Files

0

Language

English

Journal

Journal of Membrane Science

DOI

10.1016/j.memsci.2021.119433

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access