Non-target analysis of Danish wastewater treatment plant effluent: Statistical analysis of chemical fingerprinting as a step toward a future monitoring tool

Environ Res. 2024 Sep 15:257:119242. doi: 10.1016/j.envres.2024.119242. Epub 2024 May 29.

Abstract

In an attempt to discover and characterize the plethora of xenobiotic substances, this study investigates chemical compounds released into the environment with wastewater effluents. A novel non-targeted screening methodology based on ultra-high resolution Orbitrap mass spectrometry and nanoflow ultra-high performance liquid chromatography together with a newly optimized data-processing pipeline were applied to effluent samples from two state-of-the-art and one small wastewater treatment facility. In total, 785 molecular structures were obtained, of which 38 were identified as single compounds, while 480 structures were identified at a putative level. Most of these substances were therapeutics and drugs, present as parent compounds and metabolites. Using R packages Phyloseq and MetacodeR, originally developed for bioinformatics, significant differences in xenobiotic presence in the wastewater effluents between the three sites were demonstrated.

Keywords: Chemical classes; Drugs of abuse; Industry chemicals; Metabolites; Multivariate statistics; Non-target analysis; Pesticides; Pharmaceuticals; Phyloseq; Suspect screening.

MeSH terms

  • Chromatography, High Pressure Liquid
  • Denmark
  • Environmental Monitoring* / methods
  • Mass Spectrometry / methods
  • Waste Disposal, Fluid
  • Wastewater* / analysis
  • Wastewater* / chemistry
  • Water Pollutants, Chemical* / analysis
  • Xenobiotics / analysis

Substances

  • Water Pollutants, Chemical
  • Wastewater
  • Xenobiotics