Toward improved models for predicting bioconcentration of well‐metabolized compounds by rainbow trout using measured rates of in vitro intrinsic clearance

DOI Web Site Web Site 被引用文献2件
  • John W. Nichols
    US Environmental Protection Agency, Office of Research and Development National Health and Environmental Effects Research Laboratory, Mid‐Continent Ecology Division Duluth Minnesota USA
  • Duane B. Huggett
    Department of Biological Sciences University of North Texas Denton Texas USA
  • Jon A. Arnot
    Department of Physical & Environmental Sciences University of Toronto Scarborough Toronto Ontario Canada
  • Patrick N. Fitzsimmons
    US Environmental Protection Agency, Office of Research and Development National Health and Environmental Effects Research Laboratory, Mid‐Continent Ecology Division Duluth Minnesota USA
  • Christina E. Cowan‐Ellsberry
    CE<sup>2</sup>Consulting Cincinnati Ohio USA

説明

<jats:title>Abstract</jats:title><jats:sec><jats:label /><jats:p>Models were developed to predict the bioconcentration of well‐metabolized chemicals by rainbow trout. The models employ intrinsic clearance data from in vitro studies with liver S9 fractions or isolated hepatocytes to estimate a liver clearance rate, which is extrapolated to a whole‐body biotransformation rate constant (<jats:italic>k</jats:italic><jats:sub>MET</jats:sub>). Estimated <jats:italic>k</jats:italic><jats:sub>MET</jats:sub> values are then used as inputs to a mass‐balance bioconcentration prediction model. An updated algorithm based on measured binding values in trout is used to predict unbound chemical fractions in blood, while other model parameters are designed to be representative of small fish typically used in whole‐animal bioconcentration testing efforts. Overall model behavior was shown to be strongly dependent on the relative hydrophobicity of the test compound and assumed rate of in vitro activity. The results of a restricted sensitivity analysis highlight critical research needs and provide guidance on the use of in vitro biotransformation data in a tiered approach to bioaccumulation assessment. <jats:italic>Environ Toxicol Chem</jats:italic> 2013;32:1611–1622. © 2013 SETAC</jats:p></jats:sec>

収録刊行物

被引用文献 (2)*注記

もっと見る

問題の指摘

ページトップへ