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Antibiotics and antibiotic resistance genes removal in biological aerated filter.
Li, Xiangkun; Lu, Ziyi; Wu, Baoli; Xie, Hongwei; Liu, Gaige.
Affiliation
  • Li X; School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China.
  • Lu Z; School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China.
  • Wu B; North China Municipal Engineering Design & Research Institute Co.,Ltd., Tianjin 300381, China.
  • Xie H; School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China.
  • Liu G; School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China. Electronic address: liugaige@126.com.
Bioresour Technol ; 395: 130392, 2024 Mar.
Article in En | MEDLINE | ID: mdl-38301943
ABSTRACT
Two laboratory-level biological aerated filters (BAF) were constructed to explore their treatment capacity for simulated antibiotic wastewater at high (1 - 16 mg/L) and low (0 - 0.5 mg/L) concentrations. Results showed that BAF was capable of removing both sulfonamides and tetracyclines with an efficiency of over 90 % at 16 mg/L. The main mechanism for removing antibiotics was found to be biodegradation followed by adsorption. Paenarthrobacter was identified as the key genus in sulfonamides degradation, while Hydrogenophaga played a crucial role in tetracyclines degradation. Antibiotics resistant genes such as intI1, sul1, sul2, tetA, tetW and tetX were frequently detected in the effluent, with interception rates ranging from 105 - 106 copies/mL. The dominated microorganisms obtained in the study could potentially be utilized to enhance the capacity of biological processes for treating antibiotics contaminated wastewater. These findings contribute to a better understanding of BAF treating wastewater containing antibiotics and resistant genes.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Wastewater / Anti-Bacterial Agents Type of study: Prognostic_studies Language: En Journal: Bioresour Technol Journal subject: ENGENHARIA BIOMEDICA Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Wastewater / Anti-Bacterial Agents Type of study: Prognostic_studies Language: En Journal: Bioresour Technol Journal subject: ENGENHARIA BIOMEDICA Year: 2024 Document type: Article Affiliation country: Country of publication: