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Environmental Science and Pollution Research

, Volume 24, Issue 19, pp 16478–16487 | Cite as

Occurrence, removal, and risk assessment of antibiotics in 12 wastewater treatment plants from Dalian, China

  • Xin Zhang
  • Hongxia ZhaoEmail author
  • Juan Du
  • Yixuan Qu
  • Chen Shen
  • Feng Tan
  • Jingwen Chen
  • Xie Quan
Research Article

Abstract

In this study, the occurrence and removal efficiencies of 31 antibiotics, including 11 sulfonamides (SAs), five fluoroquinolones (FQs), four macrolides (MLs), four tetracyclines (TCs), three chloramphenicols (CAPs), and four other antibiotics (Others), were investigated in 12 municipal wastewater treatment plants (WWTPs) in Dalian, China. A total of 29 antibiotics were detected in wastewater samples with the concentration ranging from 63.6 to 5404.6 ng/L. FQs and SAs were the most abundant antibiotic classes in most wastewater samples, accounting for 42.2 and 23.9% of total antibiotic concentrations, respectively, followed by TCs (16.0%) and MLs (14.8%). Sulfamethoxazole, erythromycin, clarithromycin, azithromycin, ofloxacin, and norfloxacin were the most frequently detected antibiotics; of these, the concentration of ofloxacin was the highest in most of influent (average concentration = 609.8 ng/L) and effluent (average concentration = 253.4 ng/L) samples. The removal efficiencies varied among WWTPs in the range of −189.9% (clarithromycin) to 100% (enoxacin, doxycycline, etc), and more than 50% of antibiotics could not be efficiently removed with the removal efficiency less than 65%. An environmental risk assessment was also performed in the WWTP effluents by calculating the risk quotient (RQ), and high RQ values (>1) indicated erythromycin and clarithromycin might cause the ecological risk on organisms in surrounding water near discharge point of WWTPs in this area, which warrants further attention.

Keywords

Antibiotics Secondary effluent Influent Wastewater treatment plants Risk quotients 

Notes

Acknowledgments

This research was financially supported by the National Natural Science Foundation (21277017, 21677023) and the Fundamental Research Funds for the Central Universities (DUT15LK40). And we also gratefully acknowledge the support from the Open Project of State Key Laboratory of Urban Water Resource and Environment (Harbin Institute of Technology, QAK 201606).

Supplementary material

11356_2017_9296_MOESM1_ESM.docx (141 kb)
ESM 1 (DOCX 141 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Xin Zhang
    • 1
  • Hongxia Zhao
    • 1
    Email author
  • Juan Du
    • 1
  • Yixuan Qu
    • 2
  • Chen Shen
    • 1
  • Feng Tan
    • 1
  • Jingwen Chen
    • 1
  • Xie Quan
    • 1
  1. 1.Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and TechnologyDalian University of TechnologyDalianChina
  2. 2.Dalian Haixin Detection Technology Co., LtdDalianChina

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