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Nontarget Discovery of Antimicrobial Transformation Products in Wastewater Based on Molecular Networks.

Nan-Yang YuYiyan DengXuebing WangWei ShiDong-Mei ZhouBingcai PanHongxia YuSi Wei
Published in: Environmental science & technology (2023)
Antimicrobial transformation products (ATPs) in the environment have raised extensive concerns in recent years due to their potential health risks. However, only a few ATPs have been investigated, and most of the transformation pathways of antimicrobials have not been completely elucidated. In this study, we developed a nontarget screening strategy based on molecular networks to detect and identify ATPs in pharmaceutical wastewater. We identified 52 antimicrobials and 49 transformation products (TPs) with a confidence level of three or above. Thirty of the TPs had not been previously reported in the environment. We assessed whether TPs could be classified as persistent, mobile, and toxic (PMT) substances based on recent European criteria for industrial substances. Owing to poor experimental data, definitive PMT classifications could not be established for novel ATPs. PMT assessment based on structurally predictive physicochemical properties revealed that 47 TPs were potential PMT substances. These results provide evidence that novel ATPs should be the focus of future research.
Keyphrases
  • wastewater treatment
  • drinking water
  • staphylococcus aureus
  • human health
  • risk assessment
  • squamous cell carcinoma
  • machine learning
  • rectal cancer
  • radiation therapy