Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/102971
Title: Mechanistic modeling of the bioconcentration of (super)hydrophobic compounds in Hyalella azteca
Author(s): Ebert, Andrea
Ackermann, JulianeLook up in the Integrated Authority File of the German National Library
Goss, Kai-UweLook up in the Integrated Authority File of the German National Library
Issue Date: 2023
Type: Article
Language: English
Abstract: Bioconcentration tests using the freshwater amphipod Hyalella azteca as an alternative to conventional fish tests have recently received much attention. An appropriate computational model of H. azteca could help in understanding the mechanisms behind bioconcentration, in comparison to the fish as test organism. We here present the first mechanistic model for H. azteca that considers the single diffusive processes in the gills and gut. The model matches with the experimental data from the literature quite well when appropriate physiological information is used. The implementation of facilitated transport was essential for modeling. Application of the model for superhydrophobic compounds revealed binding to organic matter and the resulting decrease in bioavailable fraction as the main reason for the observed counterintuitive decrease in uptake rate constants with increasing octanol/water partition coefficient. Furthermore, estimations of the time needed to reach steady state indicated that durations of more than a month could be needed for compounds with a log Kow > 8, limiting the experimental applicability of the test. In those cases, model-based bioconcentration predictions could be a preferable approach, which could be combined with in vitro biotransformation measurements. However, our sensitivity analysis showed that the uncertainty in determining the octanol/water partition coefficients is a strong source of error for superhydrophobic compounds.
URI: https://opendata.uni-halle.de//handle/1981185920/104924
http://dx.doi.org/10.25673/102971
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Environmental science and pollution research
Publisher: Springer
Publisher Place: Berlin
Volume: 30
Original Publication: 10.1007/s11356-023-25827-7
Appears in Collections:Open Access Publikationen der MLU

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