Bioanalytical and chemical characterization of organic micropollutant mixtures in long-term exposed passive samplers from the Joint Danube Survey 4: Setting a baseline for water quality monitoring

Šauer, Pavel; Vrana, Branislav; Escher, Beate I.; Grabic, Roman; Toušová, Zuzana; Krauß, Martin; Ohe, Peter C. von der; König, Maria; Grabicová, Kateřina; Mikušová, Petra; Prokeš, Roman; Sobotka, Jaromír; Fialová, Pavla; Novák, Jiří; Brack, Werner; Hilscherová, Klára

doi:10.1016/j.envint.2023.107957

Cited by 13 publications

(2 citation statements)

References 107 publications

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“…It has been adopted by regulatory agencies in France [12,13] and Slovakia [14] for prioritisation studies at the national level [15]. More recently, the risk indicators of the NORMAN Prioritisation Framework have been used to identify risk drivers related to surfactants and their transformation products in wastewater [16] and in passive samplers in the Danube river [17]. However, this is all based on target chemical analysis results.…”

Section: The Norman Database System and Original Prioritisation Schemementioning

confidence: 99%

“…Final score (target + suspect screening) = Expo + Haz + Risk NOTE: 1) For the calculation of the Hazard score the indicators and the associated weights can be adjusted according to speci c prioritisation objectives; 2) In the current algorithm, each indicator has the same weight in the calculation of the Risk score. However, a lower weight (1/2) could be given to the MRC indicator as compared to the FoE, as proposed by Sauer et al [17], in order to re ect that the relevance of a compound contributing based on mixture risks (i.e., RQ between 0.1 and 1) is lower compared to a compound exceeding the PNEC as individual substance (RQ > 1).…”

Section: Prioritisation Of Substances Within Each Categorymentioning

confidence: 99%

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Beyond Target Chemicals: Updating the NORMAN Prioritisation Scheme to Support the EU Chemical Strategy with Semi-quantitative Suspect/Non-target Screening Data

Dulio,

Alygizakis,

et al. 2024

Preprint

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Background: Prioritisation of chemical pollutants is a major challenge for environmental managers and decision-makers alike, which is essential to help focus the limited resources available for monitoring and mitigation actions on the most relevant chemicals. This study extends the original NORMAN prioritisation scheme beyond target chemicals, presenting the integration of semi-quantitative data from retrospective suspect screening and expansion of existing exposure and risk indicators. The scheme utilises data retrieved automatically from the NORMAN Database System (NDS), including candidate compounds for prioritisation, target and suspect screening data, ecotoxicological effect data, physico-chemical data and other properties. Two complementary workflows using target and suspect screening monitoring data are applied to first group the substances into six action categories and then rank the compounds using exposure, hazard and risk indicators. The results from the ‘target’ and ‘suspect screening’ workflows can then be combined as multiple lines of evidence to support decision-making on regulatory and research actions. Results: As a proof-of-concept, the new scheme was applied to a combined dataset of target and suspect screening data. To this end, 65,690 compounds on the NDS, of which 2,579 substances supported by target wastewater monitoring data, were retrospectively screened in 84 effluent wastewater samples, totalling >11 million data points. The final prioritisation results identified 577 compounds as high priority for further actions, 45,462 as medium priority and 308 with potentially lower priority for actions, while it was not possible to conclude for 18,000 compounds due to insufficient information from target monitoring and uncertainty in the identification from suspect screening. A high degree of agreement was observed between the categories assigned via target analysis and suspect screening-based prioritisation. Suspect screening was a valuable complementary approach to target analysis, helping to prioritise thousands of compounds that are insufficiently investigated in current monitoring programmes. Conclusions: This updated prioritisation workflow responds to the increasing use of suspect screening techniques. It can be adapted to different environmental compartments and can support regulatory obligations, including the identification of specific pollutants in river basins and the marine environments, as well as the confirmation of environmental occurrence levels predicted by modelling tools.

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Section: The Norman Database System and Original Prioritisation Schemementioning

confidence: 99%

Section: Prioritisation Of Substances Within Each Categorymentioning

confidence: 99%

Beyond Target Chemicals: Updating the NORMAN Prioritisation Scheme to Support the EU Chemical Strategy with Semi-quantitative Suspect/Non-target Screening Data

Dulio,

Alygizakis,

et al. 2024

Preprint

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In vitro assessment of thyroid peroxidase inhibition by chemical exposure: comparison of cell models and detection methods

Liu,

Novák,

Hilscherová

2024

Arch Toxicol

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Disruption of the thyroid hormone (TH) system is connected with diverse adverse health outcomes in wildlife and humans. It is crucial to develop and validate suitable in vitro assays capable of measuring the disruption of the thyroid hormone (TH) system. These assays are also essential to comply with the 3R principles, aiming to replace the ex vivo tests often utilised in the chemical assessment. We compared the two commonly used assays applicable for high throughput screening [Luminol and Amplex UltraRed (AUR)] for the assessment of inhibition of thyroid peroxidase (TPO, a crucial enzyme in TH synthesis) using several cell lines and 21 compounds from different use categories. As the investigated cell lines derived from human and rat thyroid showed low or undetectable TPO expression, we developed a series of novel cell lines overexpressing human TPO protein. The HEK-TPOA7 model was prioritised for further research based on the high and stable TPO gene and protein expression. Notably, the Luminol assay detected significant peroxidase activity and signal inhibition even in Nthy-ori 3-1 and HEK293T cell lines without TPO expression, revealing its lack of specificity. Conversely, the AUR assay was specific to TPO activity. Nevertheless, despite the different specificity, both assays identified similar peroxidation inhibitors. Over half of the tested chemicals with diverse structures and from different use groups caused TPO inhibition, including some widespread environmental contaminants suggesting a potential impact of environmental chemicals on TH synthesis. Furthermore, in silico SeqAPASS analysis confirmed the high similarity of human TPO across mammals and other vertebrate classes, suggesting the applicability of HEK-TPOA7 model findings to other vertebrates.

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High enrichment factors in chemical analysis of progestins and in bioassays: insights beyond trace levels

Šauer,

Vojs Staňová,

Bořík

et al. 2024

Environ Sci Pollut Res

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Bioanalytical and chemical characterization of organic micropollutant mixtures in long-term exposed passive samplers from the Joint Danube Survey 4: Setting a baseline for water quality monitoring

Cited by 13 publications

References 107 publications

Beyond Target Chemicals: Updating the NORMAN Prioritisation Scheme to Support the EU Chemical Strategy with Semi-quantitative Suspect/Non-target Screening Data

Beyond Target Chemicals: Updating the NORMAN Prioritisation Scheme to Support the EU Chemical Strategy with Semi-quantitative Suspect/Non-target Screening Data

In vitro assessment of thyroid peroxidase inhibition by chemical exposure: comparison of cell models and detection methods

High enrichment factors in chemical analysis of progestins and in bioassays: insights beyond trace levels

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