The added value of Bayesian inference for estimating biotransformation rates of organic contaminants in aquatic invertebrates
نویسندگان
چکیده
Toxicokinetic (TK) models refer to the process of contaminant bioaccumulation as a balance between rate uptake from different sources (e.g., water or food), and elimination via processes such excretion, growth and/or biotransformation. Biotransformation can considerably modify fate chemicals in an organism, especially their bioavailability, residence time, toxicity. Invertebrate generally neglect this they assume low metabolic activity. However, some species Gammarus sp. amphipods are able metabolize vast range organic compounds. Some recent TK include biotransformation, but prove limited for estimating related parameters by giving negative values large uncertainties biotransformation rate(s). Here we propose generic model accounting using Bayesian framework simultaneously parameters. We illustrated added value our method fitting 22 published datasets several benthic invertebrate exposed chemicals. All estimated all showed narrow estimates. Furthermore, median predictions 95% credibility intervals that confidently fitted data. In most cases around rate(s) were reduced comparison original studies. From methodology standpoint, paper reflects inference has real parent metabolite(s) based on available data, while types data correlation was overcome limits previous methods, since no fixed irrelevant obtained. Moreover, predictions, which core Environmental Risk Assessment, easily acquired.
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ژورنال
عنوان ژورنال: Aquatic Toxicology
سال: 2021
ISSN: ['0166-445X', '1879-1514']
DOI: https://doi.org/10.1016/j.aquatox.2021.105811