Surface-decorated polyethylene glycol-graphene oxide nanohybrids for fouling mitigation in aminated polysulfone membranes treating oily wastewater

Membrane fouling remains a critical challenge in oily wastewater treatment, limiting the efficiency of conventional polymeric membranes. Graphene oxide (GO) is a promising hydrophilic modifier, but its tendency to restack restricts interlayer spacing and limits antifouling performance. In this work, we present polyethylene glycol (PEG)-functionalized GO nanosheets, with adjustable molecular weights, to effectively expand GO interlayer spacing and enhance the hydrophilicity and antifouling capabilities of aminated chloromethylated polysulfone (AM-CMPSF) membranes. PSF was first chloromethylated and fabricated via non-solvent induced phase separation method, followed by amination using ethylenediamine to form AM-CMPSF membranes. GO nanosheets were synthesized and functionalized with PEG of varying molecular weights, then stacked onto the membrane surface. XRD analysis confirmed that increasing PEG molecular weight broadened interlayer d -spacing between GO nanosheets. The resulting GO-PEG/AM-CMPSF membranes exhibited significantly improved surface hydrophilicity, with rapid water absorption preventing contact angle measurement, and increased water uptake (from 30.6% for the pristine membrane (M0) to 84.6% for GO-PEG20000 (M6)), and pure water flux (from 5.9 to 16.9 L·m −2 ·h −1 ). Filtration tests using a 1000 mg·L −1 oil-in-water emulsion revealed enhanced permeate flux and fouling resistance. All membranes maintained high oil rejection (85.6% - 88.1%). Permeate flux decline decreased from 41.2% for M0 to 27.2% for M6, irreversible fouling ratio from 28.6% to 23.0%, and the flux recovery ratio increased from 71.2% to 87.0%. The results demonstrate that PEG-modified GO effectively enhanced membrane hydrophilicity, antifouling behavior, and filtration performance, offering a promising strategy for advanced oily wastewater treatment. • GO nanosheets were synthesized and functionalized with different PEGs. • Chloromethylated PSF membranes were prepared and aminated with EDA. • GO-PEG/aminated PSF membranes were characterized and used in OWW treatment. • Increasing PEG MW led to broader interlayer d-spacing between GO nanosheets. • GO-PEG enhanced the filtration efficiency and antifouling properties of membranes.

Authors

Institutions

Publication Details

Journal
Journal of Water Process Engineering
Published
2026-01-15
DOI
https://doi.org/10.1016/j.jwpe.2026.109479
Citations
2
Primary Topic
Membrane Separation Technologies
Type
article
Field-Weighted Citation Impact
36.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Surface-decorated polyethylene glycol-graphene oxide nanohybrids for fouling mitigation in aminated polysulfone membranes treating oily wastewater

Khayet Mohamed, C. García-Payo, Y. Jafarzadeh
2 citations
Journal of Water Process Engineering
Membrane Separation Technologies
36.09
article

Surface-decorated polyethylene glycol-graphene oxide nanohybrids for fouling mitigation in aminated polysulfone membranes treating oily wastewater

Khayet Mohamed, C. García-Payo, Y. Jafarzadeh
article en
2 citations

Abstract

Membrane fouling remains a critical challenge in oily wastewater treatment, limiting the efficiency of conventional polymeric membranes. Graphene oxide (GO) is a promising hydrophilic modifier, but its tendency to restack restricts interlayer spacing and limits antifouling performance. In this work, we present polyethylene glycol (PEG)-functionalized GO nanosheets, with adjustable molecular weights, to effectively expand GO interlayer spacing and enhance the hydrophilicity and antifouling capabilities of aminated chloromethylated polysulfone (AM-CMPSF) membranes. PSF was first chloromethylated and fabricated via non-solvent induced phase separation method, followed by amination using ethylenediamine to form AM-CMPSF membranes. GO nanosheets were synthesized and functionalized with PEG of varying molecular weights, then stacked onto the membrane surface. XRD analysis confirmed that increasing PEG molecular weight broadened interlayer d -spacing between GO nanosheets. The resulting GO-PEG/AM-CMPSF membranes exhibited significantly improved surface hydrophilicity, with rapid water absorption preventing contact angle measurement, and increased water uptake (from 30.6% for the pristine membrane (M0) to 84.6% for GO-PEG20000 (M6)), and pure water flux (from 5.9 to 16.9 L·m −2 ·h −1 ). Filtration tests using a 1000 mg·L −1 oil-in-water emulsion revealed enhanced permeate flux and fouling resistance. All membranes maintained high oil rejection (85.6% - 88.1%). Permeate flux decline decreased from 41.2% for M0 to 27.2% for M6, irreversible fouling ratio from 28.6% to 23.0%, and the flux recovery ratio increased from 71.2% to 87.0%. The results demonstrate that PEG-modified GO effectively enhanced membrane hydrophilicity, antifouling behavior, and filtration performance, offering a promising strategy for advanced oily wastewater treatment. • GO nanosheets were synthesized and functionalized with different PEGs. • Chloromethylated PSF membranes were prepared and aminated with EDA. • GO-PEG/aminated PSF membranes were characterized and used in OWW treatment. • Increasing PEG MW led to broader interlayer d-spacing between GO nanosheets. • GO-PEG enhanced the filtration efficiency and antifouling properties of membranes.

Journal of Water Process EngineeringVol. 82
Sahand University of Technology (IR), Universidad Complutense de Madrid (ES), IMDEA Water (ES)
Clean water and sanitation
Openalex Percentile: Top 0%
Membrane Separation Technologies
36.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.