Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163396
Title: Investigation of membrane fouling phenomenon using molecular dynamics simulations: a review
Authors: Ma, Yunqiao
Chew, Jia Wei
Keywords: Engineering::Chemical engineering
Issue Date: 2022
Source: Ma, Y. & Chew, J. W. (2022). Investigation of membrane fouling phenomenon using molecular dynamics simulations: a review. Journal of Membrane Science, 661, 120874-. https://dx.doi.org/10.1016/j.memsci.2022.120874
Project: A20B3a0070
A2083c0049
2019-T1-002-065
RG100/19
MOE-MOET2EP10120-0001
Journal: Journal of Membrane Science
Abstract: Membrane fouling remains a tremendous obstacle in the implementation of membrane technology, which has motivated the use of a wide range of experimental techniques to study and understand fouling behavior in the past decades. However, molecular-level insights, which underlie the macroscopic phenomena observable experimentally-, remain incomplete. With the rapid advancement of computational power, molecular dynamics (MD) simulation has become increasingly popular to explore the interaction occurring at the ternary interface (i.e., foulant, membrane and solvent) by using explicit atom representations. MD studies have quantified interfacial physical properties and generated MD trajectories for direct visualization of the adsorption process. This review focuses on reported MD studies on membrane fouling and related foulantadsorption processes. The fundamentals of MD and procedures for constructing an MD system for fouling investigation are overviewed first. Subsequently, representative parameters and related insights generated from unbiased simulation are discussed. Then, biased simulations with enhanced sampling algorithms, which addresses some shortcomings of unbiased simulations and allows for quantification of the free energy landscape, are outlined. Additionally, the unique characteristics of representative foulants revealed by MD are summarized. Finally, future perspectives are proposed to enhance the value of MD as a tool for understanding and predicting membrane fouling.
URI: https://hdl.handle.net/10356/163396
ISSN: 0376-7388
DOI: 10.1016/j.memsci.2022.120874
Schools: School of Chemical and Biomedical Engineering 
Interdisciplinary Graduate School (IGS) 
Research Centres: Nanyang Environment and Water Research Institute 
Singapore Membrane Technology Centre 
Rights: © 2022 Elsevier B.V. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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