Prioritizing anthropogenic chemicals in drinking water and sources through combined use of mass spectrometry and ToxCast toxicity data
Autor: | Brunner, Andrea M, Dingemans, Milou M L, Baken, Kirsten A, van Wezel, Annemarie P, Environmental Sciences |
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Přispěvatelé: | Environmental Sciences |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Prioritization
Environmental Engineering Databases Factual Health Toxicology and Mutagenesis 0211 other engineering and technologies 02 engineering and technology 010501 environmental sciences Risk Assessment 01 natural sciences Mass Spectrometry Drinking water sources Environmental health Humans Environmental Chemistry Groundwater Waste Management and Disposal Effluent 0105 earth and related environmental sciences 021110 strategic defence & security studies Toxicity data Sewage Health risk assessment Drinking Water Hazard ratio Suspect screening Pollution Hazard ToxCast Ranking Non-target analyses Environmental science Surface water Water Pollutants Chemical |
Zdroj: | Journal of Hazardous Materials, 364, 332. Elsevier |
ISSN: | 0304-3894 |
Popis: | Advancements in high-resolution mass spectrometry based methods have enabled a shift from pure target analysis to target, suspect and non-target screening analyses to detect chemicals in water samples. The multitude of suspect chemicals thereby detected needs to be prioritized for further identification, prior to health risk assessment and potential inclusion into monitoring programs. Here, we compare prioritization of chemicals in Dutch water samples based on relative intensities only to prioritization including hazard information based on high-throughput in vitro toxicity data. Over 1000 suspects detected in sewage treatment plant effluent, surface water, groundwater and drinking water samples were ranked based on their relative intensities. Toxicity data availability and density in the ToxCast database were determined and visualized for these suspects, also in regard to water relevant mechanisms of toxicity. More than 500 suspects could be ranked using occurrence/hazard ratios based on more than 1000 different assay endpoints. The comparison showed that different prioritization strategies resulted in significantly different ranking, with only 2 suspects prioritized based on occurrence among the top 20 in the hazard ranking. We therefore propose a novel scheme that integrates both exposure and hazard data, and efficiently prioritizes which features need to be confidently identified first. |
Databáze: | OpenAIRE |
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