Analytical Environmental Chemistry, Helmholtz Centre for Environmental Research-UFZ, 04318, Leipzig, Germany.
Section IV 2.3 "Chemicals", Umweltbundesamt, 06844, Dessau-Roßlau, Germany.
Environ Sci Pollut Res Int. 2023 Apr;30(17):50257-50268. doi: 10.1007/s11356-023-25827-7. Epub 2023 Feb 15.
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 K > 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.
使用淡水大型蚤(Hyalella azteca)作为传统鱼类测试的替代方法进行生物浓缩测试最近受到了广泛关注。与鱼类作为测试生物相比,适当的大型蚤计算模型可以帮助理解生物浓缩背后的机制。我们在这里提出了第一个考虑鳃和肠道中单个扩散过程的大型蚤机制模型。当使用适当的生理信息时,该模型与文献中的实验数据非常吻合。易化运输的实现对于建模至关重要。该模型应用于超疏水化合物表明,与有机物结合以及由此导致的生物可利用部分减少是观察到的吸收速率常数随辛醇/水分配系数增加而反直觉下降的主要原因。此外,达到稳定状态所需时间的估算表明,对于 log K > 8 的化合物,可能需要一个多月的时间,这限制了该测试的实验适用性。在这些情况下,基于模型的生物浓缩预测可能是一种更可取的方法,该方法可以与体外生物转化测量相结合。然而,我们的敏感性分析表明,确定辛醇/水分配系数的不确定性是超疏水化合物的一个主要误差源。