Reinforced graphene oxide–acrylamide/sodium acrylamide hydrogel composite-coated meshes for the separation of stabilized oil–surfactant emulsions from greywater

• Design of hydrogel membranes embedded with graphene oxide • Treatment of kitchen greywater (KGW) containing oil and surfactant • Separation of oil and surfactant using reinforced hydrogel membranes • Optimal composition of the hydrogel membrane for highest separation efficiency • Sustainable solution for addressing wastewater treatment Kitchen greywater, which is high in fats, oils, and grease (FOG), as well as surfactants, poses a significant environmental threat due to its ability to contaminate water sources and impair wastewater infrastructure. In this study, a reinforced composite hydrogel composed of acrylamide (AM), sodium acrylate (Na-Ac), and graphene oxide (GO) is synthesized via graft polymerization and applied as a coating over stainless-steel meshes with various pore sizes (200, 255, and 405 µm) to treat oil/surfactant/water mixtures. Experiments are conducted with various acrylamide (AM) compositions (50, 55, and 60 wt%) and graphene oxide (GO) loadings (10, 20, and 40 mg) to investigate the influence of composition and mesh size on the separation efficiency. Oil removal efficiency as high as 89% and surfactant removal up to 80% were achieved with the proposed hydrogel membranes The statistical models yielded near-ideal fits for both responses (R² = 0.9994 for oil removal and R² = 1.000 for surfactant removal), indicating excellent predictive reliability across the tested formulation and operating conditions. These findings suggest that the AM/GO hydrogel-coated mesh can be effectively tuned to target either oil, surfactant, or combined removal, making it a promising candidate for compact or modular treatment units. In this way, the recovered water could be reused for secondary purposes, contributing to more sustainable kitchen wastewater management and supporting multiple Sustainable Development Goals (SDGs).

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Publication Details

Journal
Chemical Engineering Journal Advances
Published
2025-12-31
DOI
https://doi.org/10.1016/j.ceja.2025.101020
Primary Topic
Surface Modification and Superhydrophobicity
Type
article
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article

Reinforced graphene oxide–acrylamide/sodium acrylamide hydrogel composite-coated meshes for the separation of stabilized oil–surfactant emulsions from greywater

Chandra Mouli R. Madhuranthakam, Weam S.K. Abudaqqa, Jemille Joven, Ali Elkamel et al.
Chemical Engineering Journal Advances
Surface Modification and Superhydrophobicity
article

Reinforced graphene oxide–acrylamide/sodium acrylamide hydrogel composite-coated meshes for the separation of stabilized oil–surfactant emulsions from greywater

Chandra Mouli R. Madhuranthakam, Weam S.K. Abudaqqa, Jemille Joven, Ali Elkamel, Raja Ghosh
article en

Abstract

• Design of hydrogel membranes embedded with graphene oxide • Treatment of kitchen greywater (KGW) containing oil and surfactant • Separation of oil and surfactant using reinforced hydrogel membranes • Optimal composition of the hydrogel membrane for highest separation efficiency • Sustainable solution for addressing wastewater treatment Kitchen greywater, which is high in fats, oils, and grease (FOG), as well as surfactants, poses a significant environmental threat due to its ability to contaminate water sources and impair wastewater infrastructure. In this study, a reinforced composite hydrogel composed of acrylamide (AM), sodium acrylate (Na-Ac), and graphene oxide (GO) is synthesized via graft polymerization and applied as a coating over stainless-steel meshes with various pore sizes (200, 255, and 405 µm) to treat oil/surfactant/water mixtures. Experiments are conducted with various acrylamide (AM) compositions (50, 55, and 60 wt%) and graphene oxide (GO) loadings (10, 20, and 40 mg) to investigate the influence of composition and mesh size on the separation efficiency. Oil removal efficiency as high as 89% and surfactant removal up to 80% were achieved with the proposed hydrogel membranes The statistical models yielded near-ideal fits for both responses (R² = 0.9994 for oil removal and R² = 1.000 for surfactant removal), indicating excellent predictive reliability across the tested formulation and operating conditions. These findings suggest that the AM/GO hydrogel-coated mesh can be effectively tuned to target either oil, surfactant, or combined removal, making it a promising candidate for compact or modular treatment units. In this way, the recovered water could be reused for secondary purposes, contributing to more sustainable kitchen wastewater management and supporting multiple Sustainable Development Goals (SDGs).

Chemical Engineering Journal AdvancesVol. 25
Abu Dhabi University (AE), Khalifa University of Science and Technology (AE), McMaster University (CA)
Openalex Percentile: Top 39%
Surface Modification and Superhydrophobicity
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