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Environmental Science and Pollution Research

, Volume 23, Issue 15, pp 15111–15121 | Cite as

Exploring the correlations between antibiotics and antibiotic resistance genes in the wastewater treatment plants of hospitals in Xinjiang, China

  • Chao Li
  • Jianjiang LuEmail author
  • Jiang Liu
  • Genlin Zhang
  • Yanbing Tong
  • Na Ma
Research Article

Abstract

Various antibiotics have been extensively used to treating infectious diseases in hospitals. In this study, the abundance and diversity of antibiotics and antibiotic resistance genes (ARGs) were observed in the wastewater samples from five hospitals in Xinjiang, China. The total concentrations of tetracyclines, sulphonamides, and quinolones in hospital influents ranged from 363.4 to 753.3 ng/L, 285.5 to 634.9 ng/L, and 1355.8 to 1922.4 ng/L, respectively. However, the removal efficiency of tetracyclines, sulphonamides, and quinolones in wastewater treatment processes ranged from 72.4 to 79.3 %, 36.0 to 52.2 %, and 45.1 to 55.4 %, respectively. The contamination levels of the selected ARGs varied in all wastewater samples. The highest relative concentrations of sul1, sul2, tetQ, and qnrS were significantly higher than those of other ARGs in this study. Significant positive correlations between the relative abundance of partial ARGs and concentrations of certain antibiotics were observed in hospital wastewaters. Results show that integrons played an important role in disseminating and distributing ARGs in microorganism systems. Furthermore, strong correlations were observed between tetQ, sulphonamide resistance genes (except sulA) and intI1. This study aimed to determine the contamination levels of antibiotics and ARGs and analyze the relationships among ARGs, and antibiotics and integron genes in hospital wastewaters.

Keywords

Antibiotics Antibiotic-resistant gene Hospital Wastewater treatment 

Notes

Acknowledgments

The authors are grateful to the Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Bingtuan, School of Chemistry and Chemical Engineering, Shihezi University. This research was supported by the National Science Foundation of China (No. 21267019).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Chao Li
    • 1
  • Jianjiang Lu
    • 1
    Email author
  • Jiang Liu
    • 1
  • Genlin Zhang
    • 1
  • Yanbing Tong
    • 1
  • Na Ma
    • 1
  1. 1.Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Bingtuan, School of Chemistry and Chemical EngineeringShihezi UniversityShiheziChina

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