Fe-MOF@MIP Adsorbent for Removal of PS-NP Raw Data

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.本数据集配套于题为《采用批量与柱吸附工艺去除聚苯乙烯纳米塑料（polystyrene nanoplastics, PS-NPs）的Fe-MOF@MIP吸附剂简便合成》的研究，涵盖了为从水中选择性去除聚苯乙烯纳米塑料而开发的经分子印迹聚合物修饰的铁基金属有机框架（Fe-MOF@MIP）的合成、表征及吸附评价过程中产生的实验数据。该研究提出假设：将分子印迹技术与磁性铁基金属有机框架相结合，可在保留材料高比表面积、孔隙率、化学稳定性及磁回收性能的同时，为聚苯乙烯纳米塑料构建高选择性识别位点。研究进一步提出，与非印迹吸附剂相比，印迹空腔可显著提升吸附容量、选择性、再生性能与长效使用表现，使该材料适用于批量及连续式水处理场景。本数据集涵盖材料合成、理化表征、批量吸附实验、固定床柱研究、吸附建模、再生测试及可持续性评估相关内容。通过X射线衍射（XRD）、傅里叶变换红外光谱（FTIR）、扫描电子显微镜（SEM）、能谱分析（EDS）、原子力显微镜（AFM）、比表面积测试（BET）、振动样品磁强计（VSM）、X射线光电子能谱（XPS）及热重分析（TGA）对合成的Fe-MOF@MIP进行表征，以验证合成是否成功，并分析其结构稳定性、表面形貌、孔隙率、磁学性能、热稳定性以及分子印迹识别位点的形成情况。批量吸附实验考察了pH值、接触时间、吸附剂投加量、初始聚苯乙烯纳米塑料浓度以及温度对吸附过程的影响。吸附容量与去除效率通过三组平行实验确定，同时采用准一级动力学、准二级动力学、粒内扩散、Elovich、朗缪尔（Langmuir）、弗伦德里希（Freundlich）、坦金（Temkin）及杜比宁-拉杜什凯维奇（Dubinin–Radushkevich）模型对吸附动力学、平衡行为及热力学行为进行分析。选择性实验考察了该吸附剂对聚苯乙烯纳米塑料相较于其他竞争性纳米塑料的优先吸附性能，再生研究则通过多次吸附-解吸循环评估吸附剂的稳定性。连续式固定床柱实验考察了床层高度、进水流量及进水浓度对穿透行为的影响，并采用托马斯（Thomas）模型与尹-纳尔逊（Yoon–Nelson）模型对实验数据进行解析。研究结果表明，Fe-MOF@MIP展现出高吸附效率、优异选择性、快速吸附动力学、良好的单分子层吸附行为、自发吸热的吸附过程以及出色的可重复使用性。穿透曲线证实了高效的动态吸附性能，而托马斯与尹-纳尔逊模型可准确预测柱吸附性能，为工艺放大提供支撑。本数据集包含原始测量数据与吸附模型参数，可为实验可重复性验证、对比研究以及用于纳米塑料去除与可持续水处理的先进材料开发提供全面的研究资源。