The binding performance of dissolved organic matters (DOM) plays a critical role in the migration,diffusion and removal of various residual pollutants in the natural water environment. In the currentstudy, four typica...The binding performance of dissolved organic matters (DOM) plays a critical role in the migration,diffusion and removal of various residual pollutants in the natural water environment. In the currentstudy, four typical DOMs (including bovine serum proteins BSA (proteins), sodium alginate SAA (polysaccharides), humic acid HA and fulvic acid FA (humus)) are selected to investigate the binding roles inzwitterionic tetracycline (TET) antibiotic under various ionic strength (IS ¼ 0.001e0.1 M) and pH (5.0e9.0). The dialysis equilibration technique was employed to determine the binding concentrations ofTET, and the influence of IS and pH on binding performance was evaluated via UVevis spectroscopy, totalorganic carbon (TOC), and Excitation-Emission-Matrix spectra (EEM), zeta potentials and molecule sizedistribution analysis. Our results suggested that carboxyl and phenolic hydroxyl were identified as themain contributors to TET binding based on the fourier transform infrared spectroscopy (FTIR) analysis,and the binding capability of four DOMs followed as HA > FA » BSA > SAA. The biggest binding concentrations of TET by 10 mg C/L HA, FA, BSA and SAA were 0.863 mM, 0.487 mM, 0.084 mM and 0.086 mM,respectively. The higher binding capability of HA and FA is mainly attributed to their richer functionalgroups, lower zeta potential (HA/FA ¼ 15.92/-13.54 mV) and the bigger molecular size (HA/FA ¼ 24668/27750 nm). IS significantly inhibits the binding interaction by compressing the molecular structure andthe surface electric double layer, while pH had a weak effect. By combining the Donnan model and themultiple linear regression analysis, a modified Karickhoff model was established to effectively predict thebinding performance of DOM under different IS (0.001e0.1 M) and pH (5.0e9.0) conditions, and the R2 oflinear fitting between experiment-measured logKDOC and model-calculated logKOC were 0.94 for HA and0.91 for FA. This finding provides a theoretical basis for characterizing and predicting the binding performance of various DOMs to residual micropollutants in the natural water environment.展开更多
基金The authors would like to thank the National Natural Science Foundation of China[NO.51878422]and[NO.42177060]Science and Technology Bureau of Chengdu[2017-GH02-00010-342 HZ]and[2021-YF05-00350-SN]Innovation Spark Project in Sichuan University[Grant No.2082604401254]for the financial support.
文摘The binding performance of dissolved organic matters (DOM) plays a critical role in the migration,diffusion and removal of various residual pollutants in the natural water environment. In the currentstudy, four typical DOMs (including bovine serum proteins BSA (proteins), sodium alginate SAA (polysaccharides), humic acid HA and fulvic acid FA (humus)) are selected to investigate the binding roles inzwitterionic tetracycline (TET) antibiotic under various ionic strength (IS ¼ 0.001e0.1 M) and pH (5.0e9.0). The dialysis equilibration technique was employed to determine the binding concentrations ofTET, and the influence of IS and pH on binding performance was evaluated via UVevis spectroscopy, totalorganic carbon (TOC), and Excitation-Emission-Matrix spectra (EEM), zeta potentials and molecule sizedistribution analysis. Our results suggested that carboxyl and phenolic hydroxyl were identified as themain contributors to TET binding based on the fourier transform infrared spectroscopy (FTIR) analysis,and the binding capability of four DOMs followed as HA > FA » BSA > SAA. The biggest binding concentrations of TET by 10 mg C/L HA, FA, BSA and SAA were 0.863 mM, 0.487 mM, 0.084 mM and 0.086 mM,respectively. The higher binding capability of HA and FA is mainly attributed to their richer functionalgroups, lower zeta potential (HA/FA ¼ 15.92/-13.54 mV) and the bigger molecular size (HA/FA ¼ 24668/27750 nm). IS significantly inhibits the binding interaction by compressing the molecular structure andthe surface electric double layer, while pH had a weak effect. By combining the Donnan model and themultiple linear regression analysis, a modified Karickhoff model was established to effectively predict thebinding performance of DOM under different IS (0.001e0.1 M) and pH (5.0e9.0) conditions, and the R2 oflinear fitting between experiment-measured logKDOC and model-calculated logKOC were 0.94 for HA and0.91 for FA. This finding provides a theoretical basis for characterizing and predicting the binding performance of various DOMs to residual micropollutants in the natural water environment.
