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Fe-MOF@MIP Adsorbent for Removal of PS-NP Raw Data
Summary
Scientists have created a magnetic sponge-like material that can selectively grab tiny plastic particles (nanoplastics) out of water, then be easily removed with a magnet and reused multiple times. This matters because nanoplastics from everyday sources like broken-down bottles and packaging are increasingly found in our water supplies, and this material could offer a practical, affordable way for water treatment plants to filter them out before they reach our taps. While these lab tests show strong results, the technology would still need real-world testing at larger scales before it shows up in your water treatment system.
This dataset accompanies the study, "Facile synthesis of Fe-MOF@MIP adsorbent for the removal of PS-NP via batch and column adsorption processes," and contains the experimental data generated during the synthesis, characterization, and adsorption evaluation of a molecularly imprinted polymer-functionalized iron-based metal-organic framework (Fe-MOF@MIP) developed for the selective removal of polystyrene nanoplastics (PS-NPs) from water. The study hypothesized that combining molecular imprinting with a magnetic Fe-MOF would create highly selective recognition sites for PS-NPs while preserving the material's high surface area, porosity, chemical stability, and magnetic recoverability. It was further proposed that the imprinted cavities would significantly improve adsorption capacity, selectivity, regeneration, and long-term performance compared with non-imprinted adsorbents, making the material suitable for both batch and continuous water treatment. The dataset includes material synthesis, physicochemical characterization, batch adsorption experiments, fixed-bed column studies, adsorption modelling, regeneration tests, and sustainability assessments. The synthesized Fe-MOF@MIP was characterized using XRD, FTIR, SEM, EDS, AFM, BET, VSM, XPS, and TGA to confirm successful synthesis, structural stability, surface morphology, porosity, magnetic properties, thermal stability, and the formation of molecularly imprinted recognition sites. Batch adsorption experiments evaluated the effects of pH, contact time, adsorbent dosage, initial PS-NP concentration, and temperature. Adsorption capacities and removal efficiencies were determined from triplicate experiments, while kinetic, equilibrium, and thermodynamic behaviours were analysed using pseudo-first-order, pseudo-second-order, intraparticle diffusion, Elovich, Langmuir, Freundlich, Temkin, and Dubinin–Radushkevich models. Selectivity experiments examined preferential adsorption of PS-NPs over competing nanoplastics, and regeneration studies assessed adsorbent stability through repeated adsorption–desorption cycles. Continuous fixed-bed column experiments investigated the effects of bed height, influent flow rate, and influent concentration on breakthrough behaviour, with experimental data interpreted using the Thomas and Yoon–Nelson models. The results demonstrate that Fe-MOF@MIP exhibits high adsorption efficiency, excellent selectivity, rapid adsorption kinetics, favourable monolayer adsorption behaviour, spontaneous and endothermic adsorption, and excellent reusability. Breakthrough curves confirm efficient dynamic adsorption, while the Thomas and Yoon–Nelson models accurately predict column performance, supporting process scale-up. The dataset includes raw measurements and adsorption model parameters providing a comprehensive resource for reproducibility, comparative studies and the development of advanced materials for nanoplastic removal and sustainable water treatment.