AI-aided chronic mixture risk assessment along a small European river reveals multiple sites at risk and pharmaceuticals being the main risk drivers DOI Creative Commons
Fabian G. Weichert, Pedro A. Inostroza,

Jörg Ahlheim

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 18, 2024

Abstract The vast amount of registered chemicals leads to a high diversity substances occurring in the environment and creation new outpaces chemical risk assessment as well monitoring strategies. Hence, strategies need be modified ensuring that they remain aligned with rapid development marketing substances. Here we performed longitudinal chronic mixture considering real-world case study scenario diverse anthropogenic impact types characterised by different land uses along river Central Germany. We sampled water using large-volume solid phase extraction at six selected sampling sites. Following analysis liquid chromatography-high resolution mass spectrometry, quantified 192 For 34% them, obtained empirical effect data for freshwater organisms. Furthermore, used open-source artificial intelligence (AI) model TRIDENT predict toxicity all A multi-scenario was conducted three taxonomic groups, concentration-addition concept various hazard exposure scenarios. results showed estimates groups were considerably higher when amended from silico modelling. identified hot spots pollution our indicated fish most vulnerable group, pharmaceuticals being relevant drivers. Our exemplifies application an AI aquatic organisms combination consideration multiple scenarios, may complement future Highlights organic surface samples river. Multiple scenarios considered assessment. Artificial fill gaps ecotoxicity. Fish group toxicity. Pharmaceuticals prevalent Graphical abstract

Language: Английский

Occurrence and potential risk of steroid hormones in selected surface water and wastewater treatment plants in western Kenya DOI Creative Commons

Isaac Cheruiyot Tanui,

Faith Jebiwot Kandie, Martin Krauß

et al.

Environmental Pollution, Journal Year: 2025, Volume and Issue: 367, P. 125623 - 125623

Published: Jan. 1, 2025

Language: Английский

Citations

1
Retrospective trend analysis of biocides in suspended particulate matter of major German rivers DOI Creative Commons
Georg Dierkes, Susanne I. Schmidt, Christiane Meier

et al.

Environmental Sciences Europe, Journal Year: 2025, Volume and Issue: 37(1)

Published: Jan. 25, 2025

Language: Английский

Citations

1
Drosophila melanogaster as a tractable eco-environmental model to unravel the toxicity of micro- and nanoplastics DOI Creative Commons
Yán Wāng, Yang Jiang

Environment International, Journal Year: 2024, Volume and Issue: 192, P. 109012 - 109012

Published: Sept. 17, 2024

Language: Английский

Citations

6
Occurrence, removal and risk assessment of chemicals of emerging concern in selected rivers and wastewater treatment plants in western Kenya DOI

Ruth Chepchirchir,

Rashid Mwalimu,

Isaac Cheruiyot Tanui

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 948, P. 174982 - 174982

Published: July 23, 2024

Language: Английский

Citations

5
Regulatory and practical considerations on the implementation of a mixture allocation factor in REACH DOI Creative Commons
Gabriele Treu, Jona Schulze,

Wiebke Galert

et al.

Environmental Sciences Europe, Journal Year: 2024, Volume and Issue: 36(1)

Published: May 19, 2024

Abstract There is indisputable evidence that the environment, humans and wildlife are continuously exposed not to single but multiple chemicals from different sources. Exposure these mixtures can lead combined risks yet sufficiently addressed in any of European chemical legislations. Under REACH regulation for industrial chemicals, specific environmental mixture assessments challenged by a lack data on toxicity, use exposures communication along supply chain. Within Chemicals Strategy Sustainability Commission proposed introduce (a) allocation factor(s) (MAF) as regulatory management tool reduce exposures, effects potential unintentional mixtures. The MAF be applied default value within safety undertaken companies under REACH. Here, we critically review relevant literature discussing conceptual background approaches derive its magnitude. analysis focuses environment key issues an implementation practise together with remaining uncertainties needs possible ways forward. At this stage introducing Annex I appears most pragmatic immediately implementable measure address environment. A so-called ceiling preferred option policy makers, since it would only affect substances close their respective risk threshold. While magnitude will decided politically, choice methods assumptions size should clear transparent, build available scientific take account uncertainties. effective reducing releases exposure levels if mitigation measures implemented practise. Its socioeconomic impacts costs need assessed balanced way benefits society, companies—also comparison efforts needed assessments. In future experiences gathered practise, discussion how assess regulate across pieces legislation consider true situation ensure harmonisation.

Language: Английский

Citations

4
Seasonal hot spots of pollution and risks in Western Kenya: A spatial-temporal analysis of almost 800 organic micropollutants DOI Creative Commons

Isaac Cheruiyot Tanui,

Faith Jebiwot Kandie, Martin Krauß

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 949, P. 175036 - 175036

Published: July 27, 2024

The release of chemicals into the environment presents a significant threat to aquatic ecosystems dependent on proximity emission sources and seasonal dynamics mobilization. While spatial-temporal information water pollution in Europe is increasing, there are substantial knowledge gaps tropical countries. Thus, we took Lake Victoria South Basin western Kenya as case study identify spatial hot spots contamination, quantified toxic risks different groups organisms, identified risk drivers. For this purpose, analyzed grab samples from five rivers with agricultural wastewater treatment plants their catchment four seasons. We used liquid chromatography coupled high resolution mass spectrometry (LC-HRMS) target list 785 organic micropollutants. A total 307 compounds were detected concentrations ranging 0.3 ng/L 6.6 μg/L. Using Toxic Unit (TU) approach based mixture toxicity standard test crustaceans most affected group followed by algae fish. crustaceans, chronic thresholds exceeded 96 % all samples, while 56 expected be acutely toxic, highest February during dry season. High unit values for fish recorded July season May wet Diazinon, imidacloprid, clothianidin pirimiphos-methyl major drivers crustacean triclosan herbicide mixtures drive seasons, respectively. 18 found exceed acute environmental thresholds. With study, strong patterns pollution, could confirmed informing prioritization monitoring abatement enhance quality reduce risks.

Language: Английский

Citations

4
Temporal trends and sources of organic micropollutants in wastewater DOI Creative Commons
Kristoffer Kilpinen, Selina Tisler, Mathias B. Jørgensen

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 957, P. 177555 - 177555

Published: Nov. 20, 2024

Language: Английский

Citations

4
Following the Mixtures of Organic Micropollutants with In Vitro Bioassays in a Large Lowland River from Source to Sea DOI Creative Commons

Elena Hommel,

Maria König, Georg Braun

et al.

ACS Environmental Au, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 19, 2025

Language: Английский

Citations

0
Realistic exposure scenarios in combined sewer overflows: how temporal resolution and selection of micropollutants impact risk assessment DOI Creative Commons
Viviane Furrer, Marion Junghans, Heinz Singer

et al.

Water Research, Journal Year: 2025, Volume and Issue: 278, P. 123318 - 123318

Published: Feb. 19, 2025

Organic micropollutants in combined sewer overflows (CSOs) pose a potential risk to aquatic ecosystems. Previous studies mainly reported event mean concentrations (EMCs) and often focused on small number of substances. This study presents realistic exposure scenarios using high-temporal resolution (10-minute) data from 24 events at two CSO sites. We analyzed 49 dissolved organic for all 198 four events, including pharmaceuticals, pesticides, road-related compounds, which we detected 83 substances least once. From these, assessed the mixed chemical by applying acute quality criteria evaluated how assessment outcome changes aspects: temporal selection Our results reveal that total quotients (RQtot) can vary greatly within with 10-minute capturing peak are missed EMCs. Using EMCs underestimates maximum RQtot an median factor 4.9, up 6.9. When comparing 20 Swiss Waters Protection Ordinance broader list commonly CSOs comprehensive substances, estimated increases between 1.1 2.3-fold. values exceed threshold 1 75 % requiring further dilution receiving water body. All three pollutant classes (pharma, pesticide, road) drive risk, no specific phase during overflow consistently poses higher than other phases, challenges design effective mitigation measures. Furthermore, presented here offer essential input future ecotoxicological research as they high short-term fluctuations whose ecological significance is still largely unknown.

Language: Английский

Citations

0
Leveraging Zebrafish Embryo Phenotypic Observations to Advance Data-Driven Analyses in Toxicology DOI Creative Commons
Paul Michaelis, Nils Klüver,

Silke Aulhorn

et al.

Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Zebrafish have emerged as a central model organism in toxicological research. embryos are exempt from certain animal testing regulations, which facilitates their use testing. Next to the zebrafish embryo acute toxicity test (ZFET) according OECD TG 236, fish used mechanistic investigations, chemical screenings, ecotoxicology, and drug development. However, inconsistencies applied protocols monitored endpoints addition lack of standardized data formats impede comprehensive meta-analyses cross-study comparisons. To address these challenges, we developed Integrated Effect Database for Toxicological Observations (INTOB), management tool that standardizes collection metadata phenotypic observations using controlled vocabulary. By incorporating more than 600 experiments into database subsequent analyses, demonstrate its utility improving comparability interoperability data. Our results show ZFET can detect spanning 7 orders magnitude at scale effect concentrations. We also highlight potential read-across analyses based on morphological fingerprints connection modes action, provide information control variability ZFET, importance time understanding exposure-effect assessments. full Findable, Accessible, Interoperable, Reusable (FAIR) set well analysis workflow how professional management, enabled with INTOB, marks significant advancement by offering framework systematic data, thus paving way reliable, data-driven risk assessment.

Language: Английский

Citations

0