
Computational Toxicology, Journal Year: 2024, Volume and Issue: unknown, P. 100337 - 100337
Published: Dec. 1, 2024
Language: Английский
Computational Toxicology, Journal Year: 2024, Volume and Issue: unknown, P. 100337 - 100337
Published: Dec. 1, 2024
Language: Английский
Environmental Science and Ecotechnology, Journal Year: 2025, Volume and Issue: unknown, P. 100565 - 100565
Published: May 1, 2025
Language: Английский
Citations
0Nature Water, Journal Year: 2024, Volume and Issue: 2(9), P. 813 - 814
Published: Sept. 6, 2024
Language: Английский
Citations
1Environmental Toxicology and Chemistry, Journal Year: 2024, Volume and Issue: 43(11), P. 2398 - 2408
Published: Aug. 26, 2024
Neonicotinoids are ubiquitous in global surface waters and pose a significant risk to aquatic organisms. However, information is lacking on the variations sensitivity of organisms at different developmental stages neurotoxic neonicotinoids. We established spectrum toxicity zebrafish embryos four neurodevelopmental (1, 3, 6, 8 h post fertilization [hpf]) dechorionated 6 hpf based external internal exposure imidacloprid as representative neonicotinoid. Embryos gastrula stage (6 hpf) were more sensitive than earlier stages. Dechorionated with chorion, suggesting that chorion offers protection against pollutants. Nine sublethal effects induced by exposure, among which uninflated swim bladder (USB) was most sensitive. Water depth air availability chambers critical factors influencing occurrence USB larvae. Internal residues metabolites accounted for <10% imidacloprid, indicating metabolized limited fashion embryos. In addition, acute main metabolite 5-hydroxy-imidacloprid significantly lower observed exposed mainly parent compound. Our research fresh perspective choosing initial time embryo tests, particularly neurotoxicants. Environ Toxicol Chem 2024;43:2398-2408. © 2024 SETAC.
Language: Английский
Citations
0bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 16, 2024
Abstract Toxicokinetic models for predicting contents of nanomaterials and other toxic chemicals are often fitted without evaluation the residual variance structure. The aim present study was to evaluate various structures, assuming either homoscedasticity or heteroscedasticity, when fitting non-linear toxicokinetic one-compartment uptake, bioaccumulation elimination in invertebrate organisms. Data describing exposure several aquatic terrestrial invertebrates specific metal were available from real experiments evaluating functions models. As proof concept, datasets truly homoscedastic heteroscedastic nature simulated. Depending dataset, applying with different residuals assumption largely affected plots error margins parameters predicted content a chemical. Consequently, selecting most accurate modeling, heteroscedastic, improves prediction chemical organisms estimation associated uptake rates. Highlights Residual indicate if an model toxicological data Choice function affects Selecting proper may prevent false positives negatives
Language: Английский
Citations
0Computational Toxicology, Journal Year: 2024, Volume and Issue: unknown, P. 100337 - 100337
Published: Dec. 1, 2024
Language: Английский
Citations
0