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Development of a suspect screening prioritization tool for organic compounds in water and biota

Publication: Contribution to journalJournal articlepeer-review

Abstract

A customizable in silico tool (SusTool) for generating high resolution mass spectrometry (HRMS) suspect screening lists, specifically designed for the detection of hazardous organic compounds in various environmental compartments, was created. A database consisting of similar to 32 000 environmentally relevant organic compounds was constructed, including data on their physicochemical properties, environmental fate characteristics, and endocrine disruption potential, along with emissions and quantity indices. Welldefined customized suspect lists were generated by systematic ranking using a scoring and weighting procedure. For demonstration purposes, three suspect screening lists were created, one for water (SLWater) and two for biota covering less (SLBiota Kow3). Scrutiny of overlaps between compounds within these lists and the SusDat database (20 suspect lists comprising similar to 58 000 compounds compiled by the Norman network) showed that approximately half of the compounds in the three suspect lists were also listed in one of the SusDat database lists. This indicates that SusTool is able to include highly relevant emerging pollutants, but also captures other compounds of potential concern that have been less well studied or not yet investigated. Overall, our in silico prioritization approach enables systematic creation of suspect screening lists and provides new opportunities for suspect screening for environmentally relevant compounds. (C) 2019 The Authors. Published by Elsevier Ltd.
Original languageEnglish
Pages (from-to)904-912
Number of pages9
JournalChemosphere
Volume222
DOIs
Publication statusPublished - 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

Keywords

  • Suspect screening
  • Physicochemical properties
  • Endocrine-disrupting chemicals (EDCs)
  • Prioritization of compounds
  • Modeling
  • Database

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