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Microplastic contaminant adsorption by graphene oxide layer

Journal of Biological Physics 2025 10 citations

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Researchers found that graphene oxide, a carbon-based material, can effectively bind and remove harmful microplastic contaminants like BPA and PET from water through strong molecular interactions. This technology could be developed into filtration systems for large-scale water treatment, helping reduce the amount of microplastic-related chemicals that people are exposed to through drinking water.

Polymers
Body Systems

The increasing prevalence of microplastics in water sources poses significant threats to both human health and environmental sustainability. Bisphenol A (BPA) and polyethylene terephthalate (PET), two hazardous microplastic contaminants, are known to cause endocrine disruption and other health risks. This study investigates the potential of graphene oxide (GO) as an efficient adsorbent for the removal of these contaminants through detailed molecular interaction analysis. The adsorption efficiencies of GO were quantitatively assessed, demonstrating strong binding affinities of ∆G = - 9.50 kcal/mol for BPA and ∆G = - 6.90 kcal/mol for PET. The adsorption process is primarily governed by π-π stacking interactions between the aromatic structure of the microplastics and the polycyclic surface of GO, with additional contributions from hydrogen bonding and van der Waals forces. Computational simulations revealed consistent binding across specific active sites on the GO surface, indicating minimal variation in adsorption performance. These findings highlight the potential of GO-based filtration systems for large-scale water treatment applications, offering a promising approach to mitigating microplastic contamination and ensuring safer water supplies. These findings highlight the potential of GO-based filtration systems for large-scale water treatment applications, offering a promising approach to mitigating microplastic contamination and ensuring safer water supplies. Future research should focus on optimizing GO-based filtration techniques and exploring their long-term environmental impact.

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