Investigation of Surfactant-Membrane Interaction Using Molecular Dynamics Simulation with Umbrella Sampling

dc.contributor.authorMa, Yunqiao
dc.contributor.authorVelioglu, Sadiye
dc.contributor.authorTrinh, Thein An
dc.contributor.authorWang, Rong
dc.contributor.authorChew, Jia Wei
dc.date.accessioned2025-10-29T11:20:38Z
dc.date.issued2021
dc.departmentGebze Teknik Üniversitesi
dc.description.abstractMembranes are effective for removing oil emulsions in oily wastewater treatments, which is important for environmental remediation as well as recovery of oil for economic benefits. Surfactants play a critical role in stabilizing the oil emulsions, but their effects on the inevitable membrane fouling phenomena remain poorly understood. The focus here is the interesting flux enhancement relative to water conferred by the cationic cetyltrimethylammonium bromide (CTAB) surfactant. Molecular dynamics simulations were performed to understand the interactions between three different surfactants and a hydrophilic polyvinylidene fluoride (PVDF) surface. Unbiased MD simulations quantify the surfactant-water, surfactant-membrane, and water-membrane interactions, but none appears well-correlated to the relative flux trends due to the interplay of all three interactions. To account for all interactions concurrently, umbrella sampling was performed to obtain the potential of mean force (PMF) curves. The adsorption of all three surfactants is driven by enthalpy (rather than entropy), and CTAB was found to have the most attractive binding free energy, smallest equilibrium distance, and looser water network near the PVDF surface, which are tied to the experimental observation of flux enhancement and highest retention. The Angstrom-scale results here reveal the need to consider all the interactions simultaneously rather than separately to fully account for mechanisms underlying membrane fouling by surfactants.
dc.description.sponsorshipSingapore GSK (GlaxoSmithKline)-EDB (Economic Development Board, Singapore) Trust Fund
dc.description.sponsorshipA*STAR (Singapore) Advanced Manufacturing and Engineering (AME) under its Pharma Innovation Programme Singapore (PIPS) program [A20B3a0070]
dc.description.sponsorshipA*STAR (Singapore) Advanced Manufacturing and Engineering (AME) under its Individual Research Grant (IRG) program [A2083c0049]
dc.description.sponsorshipSingapore Ministry of Education Academic Research [2019-T1-002-06, RG100/19, MOE-MOET2EP10120-0001]
dc.description.sponsorshipThis study was supported by the Singapore GSK (GlaxoSmithKline)-EDB (Economic Development Board, Singapore) Trust Fund, A*STAR (Singapore) Advanced Manufacturing and Engineering (AME) under its Pharma Innovation Programme Singapore (PIPS) program (A20B3a0070), A*STAR (Singapore) Advanced Manufacturing and Engineering (AME) under its Individual Research Grant (IRG) program (A2083c0049), the Singapore Ministry of Education Academic Research Tier 1 Grant (2019-T1-002-065; RG100/19), and the Singapore Ministry of Education Academic Research Tier 2 Grant (MOE-MOET2EP10120-0001). The computations were fully performed on the resources of the National Supercomputing Centre, Singapore (https://www.nscc.sg).
dc.identifier.doi10.1021/acsestengg.1c00262
dc.identifier.endpage1480
dc.identifier.issn2690-0645
dc.identifier.issue10
dc.identifier.orcid0000-0002-4812-3611
dc.identifier.orcid0000-0002-6603-1649
dc.identifier.orcid0000-0001-8257-0282
dc.identifier.scopus2-s2.0-85124427937
dc.identifier.scopusqualityQ1
dc.identifier.startpage1470
dc.identifier.urihttps://doi.org/10.1021/acsestengg.1c00262
dc.identifier.urihttps://hdl.handle.net/20.500.14854/8643
dc.identifier.volume1
dc.identifier.wosWOS:000707958500010
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherAmer Chemical Soc
dc.relation.ispartofAcs Es&T Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20251020
dc.subjectsurfactant
dc.subjectmembrane filtration
dc.subjectflux enhancement
dc.subjectmolecular dynamics simulation
dc.subjectpotential of mean force
dc.titleInvestigation of Surfactant-Membrane Interaction Using Molecular Dynamics Simulation with Umbrella Sampling
dc.typeArticle

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