摘要

该研究首次报道了不同均相高级氧化工艺（AOPs）（H2O2 / UV-C，PMS / UV-C和PMS / Fe（II）/ UV-C）的全面应用，用于去除抗生素来自Estiviel废水处理厂（WWTP）（西班牙托莱多）废水流出物的（ABs）和抗生素抗性基因（ARG）。基于在低剂量（0.05-0.5mM）和非常低的UV-C接触时间（4-18s）下测试的H2O2和过氧单硫酸盐的光解分解的AOP证明比单独的UV-C辐射更有效地去除分析的ABs。 PMS（0.5mM）与UV-C（7s接触时间）结合是AB去除方面最有效的处理：废水中检测到的10种AB中有7种比使用其他氧化剂更有效地去除。就ARGs的去除效率而言，单独的UV-C似乎是最有效的治疗方法，尽管H2O2 / UV-C，PMS / UV-C和PMS / Fe（II）/ UV-C被认为会产生更高浓度的自由基。结果表明，ABs和ARG去除率最高的处理并不一致，这可能是由于DNA和氧化剂之间在紫外光子吸收方面的竞争，减少了DNA的直接光解。尽管通过产生羟基和硫酸根来改善光解ABs的去除，但在ARG的情况下发生相反的行为。这些结果表明，必须实现ABs和ARG去除之间的折衷，以优化废水处理过程。

This research reports for the first time the full-scale application of different homogeneous Advanced Oxidation Processes (AOPs) (H2O2/UV-C, PMS/UV-C and PMS/Fe(II)/UV-C) for the removal of antibiotics (ABs) and antibiotic resistance genes (ARGs) from wastewater effluent at Estiviel wastewater treatment plant (WWTP) (Toledo, Spain). AOPs based on the photolytic decomposition of H2O2 and peroxymonosulfate tested at low dosages (0.05-0.5 mM) and with very low UV-C contact time (4-18 s) demonstrated to be more efficient than UV-C radiation alone on the removal of the analyzed ABs. PMS (0.5 mM) combined with UV-C (7 s contact time) was the most efficient treatment in terms of AB removal: 7 out of 10 ABs detected in the wastewater were removed more efficiently than using the other oxidants. In terms of ARGs removal efficiency, UV-C alone seemed the most efficient treatment, although H2O2/UV-C, PMS/UV-C and PMS/Fe(II)/UV-C were supposed to generate higher concentrations of free radicals. The results show that treatments with the highest removal of ABs and ARGs did not coincide, which could be attributed to the competition between DNA and oxidants in the absorption of UV photons, reducing the direct photolysis of the DNA. Whereas the photolytic ABs removal is improved by the generation of hydroxyl and sulfate radicals, the opposite behavior occurs in the case of ARGs. These results suggest that a compromise between ABs and ARGs removal must be achieved in order to optimize wastewater treatment processes.

https://www.ncbi.nlm.nih.gov/pubmed/30586792