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In Vivo Bioconcentration of 10 Anionic Surfactants in Rainbow Trout Explained by In Vitro Data on Partitioning and S9 Clearance

[Image: see text] Bioconcentration factors (BCFs) in rainbow trout were measured for 10 anionic surfactants with a range of alkyl chain lengths and different polar head groups. The BCFs ranged from 0.04 L kg(–1) ww (for C(10)SO(3)) to 1370 L kg(–1) ww (C(16)SO(3)). There was a strong correlation bet...

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Detalles Bibliográficos
Autores principales: Ribbenstedt, Anton, Armitage, James M., Günther, Felix, Arnot, Jon A., Droge, Steven T. J., McLachlan, Michael S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118553/
https://www.ncbi.nlm.nih.gov/pubmed/35467837
http://dx.doi.org/10.1021/acs.est.1c05543
Descripción
Sumario:[Image: see text] Bioconcentration factors (BCFs) in rainbow trout were measured for 10 anionic surfactants with a range of alkyl chain lengths and different polar head groups. The BCFs ranged from 0.04 L kg(–1) ww (for C(10)SO(3)) to 1370 L kg(–1) ww (C(16)SO(3)). There was a strong correlation between the log BCF and log membrane lipid–water distribution ratio (D(MLW), r(2) = 0.96), and biotransformation was identified as the dominant elimination mechanism. The strong positive influence of D(MLW) on BCF was attributed to two phenomena: (i) increased partitioning from water into the epithelial membrane of the gill, leading to more rapid diffusion across this barrier and more rapid uptake, and (ii) increased sequestration of the surfactant body burden into membranes and other body tissues, resulting in lower freely dissolved concentrations available for biotransformation. Estimated whole-body in vivo biotransformation rate constants k(B-BCF) are within a factor three of rate constants estimated from S9 in vitro assays for six of the eight test chemicals for which k(B-BCF) could be determined. A model-based assessment indicated that the hepatic clearance rate of freely dissolved chemicals was similar for the studied surfactants. The dataset will be useful for evaluation of in silico and in vitro methods to assess bioaccumulation.