Bayesian toxicokinetic modeling of subcellular partitioning in grass carp exposed to copper nanoparticles and its implication for detoxification.

ABSTRACT: Understanding the accumulation mechanisms and particle-specific effects of nanoparticles in aquatic organisms is crucial for assessing ecotoxicological risks of nanomaterials. The aim of this study is to evaluate the influence of copper nanoparticles (CuNPs) particle size (40-60 nm and 60-80 nm) on the subcellular partitioning kinetics of Cu in grass carp (Ctenopharyngodon idellus) tissues, utilizing a Bayesian two-compartment toxicokinetic (TK) model. Fish were exposed to these CuNPs at concentrations of 0.03, 0.1, and 0.3 µg mL^- 1 for 10 days. Bayesian Markov chain Monte Carlo (MCMC) simulation enabled stochastic estimation of uptake (k_uA), detoxification (k_d), and elimination (k_e) rate constants, along with uncertainty quantification. Results

SUBMITTER: Lin HC 

PROVIDER: S-EPMC12618543 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature