环丙沙星在渭河沉积物上的吸附行为及机制

Adsorption behavior and mechanisms of ciprofloxacin on sediments of the Weihe River

  • 摘要: 水环境中喹诺酮类抗生素的广泛残留已带来严峻的生态安全隐患,环丙沙星(CIP)作为典型高检出抗生素,其在渭河沉积物界面的吸附归趋机制尚不明确。选取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,揭示沉积物对CIP的吸附行为与机制。结果表明:沉积物对CIP的吸附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,即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)。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 widespread residues of quinolone antibiotics in water environments have posed serious ecological safety risks. For ciprofloxacin (CIP), a typical antibiotic with high detection frequency, the adsorption and fate mechanisms at the sediment-water interface of the Weihe River remain unclear. This study selected CIP as the target pollutant and focused on sediments from the Weihe River. The adsorption behavior and mechanisms of CIP on sediments were revealed through batch equilibrium experiments, combined with kinetic and isotherm models, microscopic characterization, and density functional theory (DFT) calculations. The results indicated that the adsorption kinetics followed 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 provided the best fit (R2>0.968), indicating that the adsorption process of CIP on sediments was simultaneously affected by multilayer adsorption on heterogeneous surfaces and hydrophobic partitioning, 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 was particularly prominent (70.2%). DFT calculations revealed the differences among components at the molecular level: SiO2 was mainly bound by hydrogen bonds, while Fe2O3 and Al2O3 were mainly governed by surface complexation, with Fe2O3 having the highest adsorption energy (−9.722 eV). This study elucidates the multi-mechanism synergistic process of CIP adsorption on sediments, providing a theoretical basis for accurately predicting the migration and fate of antibiotics in the environment.

     

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