Literature DB >> 22809237

Internal benchmarking improves precision and reduces animal requirements for determination of fish bioconcentration factors.

Margaretha Adolfsson-Erici1, Gun Åkerman, Michael S McLachlan.   

Abstract

The enactment of new chemical regulations has generated a large need for the measurement of the fish bioconcentration factor (BCF). Past experience shows that the BCF determination lacks precision, requires large numbers of fish, and is costly. A new protocol was tested that shortens the experiment from up to 12 weeks for existing protocols to 2 weeks and reduces the number of fish by a factor of 5, while introducing internal benchmarking for the BCF determination. Rainbow trout were simultaneously exposed to 11 chemicals. The BCFs were quantified using one of the test chemicals, musk xylene, as a benchmark. These were compared with BCFs measured in a parallel experiment based on the OECD 305 guideline. The agreement was <20% for five chemicals and between 20%-25% for two further, while two chemicals lay outside the BCF operating window of the experiment and one was lost due to analytical difficulties. This agreement is better than that observed in a BCF Gold Standard Database. Internal benchmarking allows the improvement of the precision of BCF determination in parallel to large reduction in costs and fish requirements.

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Year:  2012        PMID: 22809237     DOI: 10.1021/es301700e

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  2 in total

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

Authors:  Anton Ribbenstedt; James M Armitage; Felix Günther; Jon A Arnot; Steven T J Droge; Michael S McLachlan
Journal:  Environ Sci Technol       Date:  2022-04-25       Impact factor: 11.357

2.  Bioconcentration of Several Series of Cationic Surfactants in Rainbow Trout.

Authors:  Amelie Kierkegaard; Marcus Sundbom; Bo Yuan; James M Armitage; Jon A Arnot; Steven T J Droge; Michael S McLachlan
Journal:  Environ Sci Technol       Date:  2021-06-16       Impact factor: 9.028

  2 in total

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