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

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 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

Язык: Английский

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

и другие.

Environment International, Год журнала: 2025, Номер 197, С. 109370 - 109370

Опубликована: Март 1, 2025

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 hotspots 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

Язык: Английский

Процитировано

1

Exposure to pesticides in Chile and its relationship with carcinogenic potential: a review DOI Creative Commons
María Teresa Muñoz-Quezada, Verónica Iglesias, Liliana Zúñiga‐Venegas

и другие.

Frontiers in Public Health, Год журнала: 2025, Номер 13

Опубликована: Апрель 1, 2025

The widespread application of pesticides in agriculture and the consequent heightened human exposure to these potentially harmful substances present considerable environmental health risks. potential link cancer is particularly concerning, underscoring urgent need for more sustainable health-conscious agricultural practices. Pesticides are pervasive global contaminants, with occurring through various routes. Improper use associated genotoxicity, neurobehavioral problems, thyroid dysfunction, reproductive issues, cancer, among other deleterious damages. While pesticide evident Chile, a direct remains uncertain. To examine scientific evidence on environment populations, its relationship Chilean territory. search original articles was performed international peer-reviewed databases, including Scopus, Web Science (WoS), PubMed Advanced Search Builder. Following PRISMA extension review guidelines, included studies exposure, biomarker assessments, experimental investigations, pesticide-cancer associations Chile. Foreign studies, systematic reviews, meta-analyses were excluded. Among 83 qualifying conducted between 1996 2024, elevated risks documented, 71% indicating high concentrations that may pose risk. Additionally, 20% reported significant chlorinated compounds, organochlorines (OCs) polychlorinated biphenyls (PCBs), while 79.5% identified carcinogenic humans classified by International Agency Research Cancer. emphasizes update pesticide-related regulations implementing bans or restrictions establishing stricter standards allowable residue levels food. Long-term epidemiological essential concrete links specific types cancer. investigating epigenetic markers especially occupational settings, critical. Furthermore, allocating resources prioritizing further research fundamental, regions substantial exposure.

Язык: Английский

Процитировано

0

Organic Micropollutants in Surface Water across China: Occurrence and Ecological Risk DOI
Rong Cao,

Ye Sun,

Shuai Sun

и другие.

Water Research, Год журнала: 2025, Номер unknown, С. 123616 - 123616

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Assessing chemical pollution with biomonitoring approaches in streams and rivers: a critical review DOI Creative Commons

Ariane Moulinec,

Jens Arle,

Henner Hollert

и другие.

Environmental Sciences Europe, Год журнала: 2025, Номер 37(1)

Опубликована: Май 8, 2025

Язык: Английский

Процитировано

0

Occurrence and environmental risk assessment of pesticides reveal important threats to aquatic organisms in precordilleran rivers of north-central Chile DOI
Nicolás Gouin, Angéline Bertin, Daniel D. Snow

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 984, С. 179701 - 179701

Опубликована: Май 23, 2025

Язык: Английский

Процитировано

0

Multi-compartment impact of micropollutants and particularly antibiotics on bacterial communities using environmental DNA at river basin-level DOI Creative Commons
Pedro A. Inostroza, Gerdhard L Jessen, Feilong Li

и другие.

Environmental Pollution, Год журнала: 2024, Номер unknown, С. 125487 - 125487

Опубликована: Дек. 1, 2024

Bacterial communities respond to environmental conditions with diverse structural and functional changes depending on their compartment (water, biofilm or sediment), type of stress, pollution which they are exposed. In this study, we combined amplicon sequencing bacterial 16S rRNA genes from water, biofilm, sediment samples collected in the anthropogenically impacted River Aconcagua basin (Central Chile, South America), order evaluate whether micropollutants alter community structure functioning based degree chemical pollution. Furthermore, evaluated potential differently polluted sites degrade contaminants. Our results show a lower diversity at by agriculture urban areas, featuring high loads micropollution pesticides, pharmaceuticals personal care products as well industrial chemicals. Nutrients, antibiotic micropollutant explain most variability community, showing significant increase groups known for capabilities various organic pollutants, such Nitrospira also selecting taxa resistance Exiguobacterium Planomicrobium. Moreover, ecological functions linked biodegradation toxic chemicals level revealed reductions ecosystem-related services affected wastewater treatment plant (WWTP) discharges across all investigated compartments. Finally, suggest transitioning simple concentration-based assessments more meaningful pressure values, measured concentrations normalised effect information, comprehensively role (biodiversity) level.

Язык: Английский

Процитировано

2

Multi-compartment impact of micropollutants and particularly antibiotics on bacterial communities using environmental DNA at river basin-level DOI Creative Commons
Pedro A. Inostroza, Gerdhard L Jessen, Feilong Li

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Март 29, 2024

Abstract Microbial communities, in particular bacterial assemblies, play pivotal roles sustaining biogeochemical processes within ecosystems. They are also responsible for the degradation of toxic chemicals, while development resistance against antimicrobial drugs jeopardises human health. Bacterial communities respond to environmental conditions with diverse structural and functional changes depending on their compartment (water, biofilm or sediment), type stress, pollution which they exposed. In this study, we combined amplicon sequencing 16S rRNA genes from water, biofilm, sediment samples collected anthropogenically impacted River Aconcagua basin (Central Chile, South America), order evaluate whether micropollutants alter community structure functioning based degree chemical pollution. Furthermore, evaluated potential differently polluted sites degrade contaminants. Our results show a lower diversity at by agriculture urban areas, featuring high loads micropollution pesticides, pharmaceuticals personal care products as well industrial chemicals. Nutrients, antibiotic micropollutant explain most variability community, showing significant increase groups known capabilities various organic pollutants, such Nistrospira selecting taxa Exiguobacterium Planomicrobium . Moreover, ecological functions linked biodegradation chemicals basing level revealed reductions ecosystem-related services affected wastewater treatment plant (WWTP) discharges across all investigated compartments. Finally, suggest transitioning simple concentration-based assessments more meaningful pressure values comprehensively role (biodiversity) level. Graphical abstract Highlights Micropollutant mixtures altered Antibiotic stress correlated significantly Reduction related contaminants Water, sediments relevant microbial ecotoxicology

Язык: Английский

Процитировано

0

Multi-Compartment Impact of Micropollutants and Particularly Antibiotics on Bacterial Communities Using Environmental DNA at River Basin-Level DOI
Pedro A. Inostroza, Gerdhard L Jessen, Feilong Li

и другие.

Опубликована: Янв. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Язык: Английский

Процитировано

0

Prioritizing Binary Metal Organic Mixtures in European Freshwater: Who Drives the Risk? DOI

Franz Marius Schmitt,

Karel Viaene,

Koen Orts

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

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

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 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

Язык: Английский

Процитировано

0