Cefic-lri Programme | European Chemical Industry Council

ECO47 – SNAPFISH: Searching for refiNed in vitro Approaches to Predict bioconcentration in FISH

Principal Investigator

Dr Kilian Smith
Institute for Environmental Research
RWTH Aachen University (RWTH)
Worringerweg 1
52074 Aachen
Germany
kilian.smith@bio5.rwth-aachen.de
+49 (0)241 80 23686

Collaborators

Prof Kai-Uwe-Goss, Department Analytical Environmental Chemistry, Helmholtz Centre for Environmental Research, Leipzig, DE, kai-uwe.goss@ufz.de

Dr Markus Brinkman, School of Environment and Sustainability, University of Saskatchewan, Saskatoon, CA, markus.brinkmann@usask.ca

Dr Sophia Krauze, Department Analytical Environmental Chemistry, Helmholtz Centre for Environmental Research, Leipzig, DE, sophia.krause@ufz.de

Dr Andreas Schiwy, Institute for Environmental Research, RWTH Aachen University, Aachen, DE, schiwy@bio5.rwth-aachen.de

Prof Andreas Schäffer, Institute for Environmental Research, RWTH Aachen University, Aachen, DE, andreas.schaeffer@bio5.rwth-aachen.de

Prof Henner Hollert, Institute for Environmental Research, RWTH Aachen University, Aachen, DE, henner.hollert@bio5.rwth-aachen.de

Description

Chemical regulations require information as to whether a chemical is bioaccumulative. Steady-state bioconcentration factors (BCFs) in fish reflect the net result of the various chemical uptake versus loss processes and can be determined directly. However, this requires large numbers of animals and is also costly and labour-intensive. In the context of the Replace, Reduce and Refine (3Rs) targets for the use of animals in scientific research, alternative approaches to derive BCFs based on in vitro and/or in silico approaches are thus required.

This project has three focus areas:

  1. To further improve the reliability of hepatocyte and S9 in vitro metabolic rates for the hydrophobic organic compounds targeted in this project.
  2. To address how enzymatic turnover is impacted by differences in chemical availability between the media used in the in vitro assays and liver blood.
  3. To incorporate the above experimental information to improve existing in vitro in vivo extrapolation (IVIVE) and other BCF prediction models.

Timeline: May 2019 > April 2021

LRI funding: € 313 140

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