@article {LI2024122524,
	title = {Oxygen vacancy-dependent synergistic disinfection of antibiotic-resistant bacteria by BiOBr nanoflower induced H2O2 activation},
	journal = {Water Research},
	volume = {267},
	year = {2024},
	pages = {122524},
	abstract = {Antibiotic-resistant bacteria (ARB) and antibiotic-resistant genes (ARGs) pose a significant threat to both ecosystems and human health. Owing to the excellent catalytic activity, eco-safety, and convenience for defect engineering, BiOBr with oxygen vacancies (OVs) of different density thus were fabricated and employed to activate H2O2 for ARB disinfection/ARGs degradation in present study. We found that BiOBr with OVs of appropriate density induced via ethanol reduction (BOB-E) could effectively activate H2O2, achieving excellent ARB disinfection and ARGs degradation efficiency. Moreover, this disinfection system exhibited remarkable tolerance to complex water environments and actual water conditions. In-situ characterization and theoretical calculations revealed that OVs in BOB-E could effectively capture and activate aqueous H2O2 into HO{\textperiodcentered} and O2{\textperiodcentered}-. The generated reactive oxygen species combined with electron transfer could damage the cell membrane system and degrade genetic materials of ARB, leading to effective disinfection. The impressive reusability, high performance achieved in two immobilized reaction systems (packed column and baffled ditch reactor), excellent degradation of emerging organic pollutants supported the feasibility of BOB-E/H2O2 system towards practical water decontamination. Overall, this study not only provides insights into fabrication of bismuth-based catalysts for efficient ARB disinfection/ARGs degradation via OVs regulation, but also paves the way for their practical applications.},
	keywords = {Antibiotic-resistant bacteria, Antibiotic-resistant genes, Bismuth oxybromide, Disinfection, Oxygen vacancy regulation},
	issn = {0043-1354},
	doi = {https://doi.org/10.1016/j.watres.2024.122524},
	url = {https://www.sciencedirect.com/science/article/pii/S0043135424014234},
	author = {Li, Zhengmao and Hou, Yanghui and Yutao Shen and Chenyi Nie and Xiangwei Zhang and Fuyang Liu and Meiping Tong}
}
