环丙沙星在渭河沉积物上的吸附行为及机制探究

Exploration of adsorption behavior and mechanism of ciprofloxacin on sediments of the Weihe River

  • 摘要: 抗生素在水环境中的残留,已成为环境科学与全球公共卫生领域高度关注的问题。然而,目前关于抗生素在水生环境中吸附行为的研究仍较为有限。本研究选取环丙沙星(CIP)为目标污染物,以渭河沉积物为研究对象,通过批量平衡实验,结合动力学与等温线模型、微观表征及密度泛函理论(DFT)计算,揭示了沉积物对CIP的吸附行为与机制。结果表明:动力学符合准二级动力学模型(R²>0.999),吸附与解吸行为受多种作用机制共同调控,且解吸存在明显滞后现象。热力学拟合结果表明,Freundlich模型结果最好(R2>0.968),表明CIP在沉积物上的吸附过程同时受到非均相表面的多分子层吸附与疏水分配作用的影响,并且升高温度对吸附过程产生抑制作用。表征分析揭示了孔隙填充、表面络合、π-π相互作用及氢键共同参与了吸附过程,其中矿物组分(SiO2、Al2O3和Fe2O3)是主要活性位点,而Fe2O3的贡献尤为突出(70.2%)。DFT计算从分子层面揭示了不同组分的差异:SiO2主要通过氢键结合,而Fe2O3和Al2O3则以表面络合作用为主。其中,Fe2O3的吸附能最高(-9.722 eV)。本研究阐明了沉积物吸附CIP的多机制协同过程,为准确预测抗生素在环境中的迁移与归趋提供了理论依据。

     

    Abstract: The presence of antibiotic residues in aquatic environments has become a matter of significant concern in the fields of environmental science and global public health. However, research on the adsorption behavior of antibiotics in aquatic environments remains relatively limited. In this study, ciprofloxacin (CIP) was selected as the target contaminant, and sediments from the Wei River were used as the study subject. Through batch equilibrium experiments, combined with kinetic and isotherm models, microscopic representation and density functional theory (DFT) calculation, the adsorption behavior and mechanisms of CIP by sediments were elucidated. The results indicated that the kinetics is consistent with the pseudo-second-order kinetic model (R2>0.999), and the adsorption and desorption behaviors were jointly regulated by multiple mechanisms, with significant hysteresis in desorption. The thermodynamic fitting results showed that the Freundlich model had the best results (R2>0.968), indicating that the adsorption process of CIP on sediments was simultaneously affected by the multi molecular layer adsorption and hydrophobic distribution on heterogeneous surfaces, and that increasing the temperature had an inhibitory effect on the adsorption process. Characterization analysis demonstrated that pore filling, surface complexation, π-π interactions, and hydrogen bonding collectively contributed to the adsorption process. Among them, mineral components (SiO2, Al2O3, and Fe2O3) served as the primary active sites, and the contribution of Fe2O3 being particularly prominent (70.2%). DFT calculations revealed the differences in different components at the molecular level: SiO2 is mainly bound by hydrogen bonds, while Fe2O3 and Al2O3 are mainly surface complexed. Among them, Fe2O3 has the highest adsorption energy (-9.722 eV). This study elucidates the multi mechanism synergistic process of sediment adsorption of CIP, providing a theoretical basis for accurately predicting the migration and fate of antibiotics in the environment.

     

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