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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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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 |
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author | Ribbenstedt, Anton Armitage, James M. Günther, Felix Arnot, Jon A. Droge, Steven T. J. McLachlan, Michael S. |
author_facet | Ribbenstedt, Anton Armitage, James M. Günther, Felix Arnot, Jon A. Droge, Steven T. J. McLachlan, Michael S. |
author_sort | Ribbenstedt, Anton |
collection | PubMed |
description | [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. |
format | Online Article Text |
id | pubmed-9118553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-91185532022-05-20 In Vivo Bioconcentration of 10 Anionic Surfactants in Rainbow Trout Explained by In Vitro Data on Partitioning and S9 Clearance Ribbenstedt, Anton Armitage, James M. Günther, Felix Arnot, Jon A. Droge, Steven T. J. McLachlan, Michael S. Environ Sci Technol [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. American Chemical Society 2022-04-25 2022-05-17 /pmc/articles/PMC9118553/ /pubmed/35467837 http://dx.doi.org/10.1021/acs.est.1c05543 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Ribbenstedt, Anton Armitage, James M. Günther, Felix Arnot, Jon A. Droge, Steven T. J. McLachlan, Michael S. In Vivo Bioconcentration of 10 Anionic Surfactants in Rainbow Trout Explained by In Vitro Data on Partitioning and S9 Clearance |
title | In Vivo Bioconcentration of 10 Anionic
Surfactants in Rainbow Trout Explained by In Vitro Data on Partitioning and S9 Clearance |
title_full | In Vivo Bioconcentration of 10 Anionic
Surfactants in Rainbow Trout Explained by In Vitro Data on Partitioning and S9 Clearance |
title_fullStr | In Vivo Bioconcentration of 10 Anionic
Surfactants in Rainbow Trout Explained by In Vitro Data on Partitioning and S9 Clearance |
title_full_unstemmed | In Vivo Bioconcentration of 10 Anionic
Surfactants in Rainbow Trout Explained by In Vitro Data on Partitioning and S9 Clearance |
title_short | In Vivo Bioconcentration of 10 Anionic
Surfactants in Rainbow Trout Explained by In Vitro Data on Partitioning and S9 Clearance |
title_sort | in vivo bioconcentration of 10 anionic
surfactants in rainbow trout explained by in vitro data on partitioning and s9 clearance |
url | 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 |
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