Bioavailability of organic micropollutants in cell-based bioassays

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URI: http://hdl.handle.net/10900/85095
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-850953
http://dx.doi.org/10.15496/publikation-26485
Dokumentart: PhDThesis
Date: 2018-11-30
Language: English
Faculty: 7 Mathematisch-Naturwissenschaftliche Fakultät
Department: Geographie, Geoökologie, Geowissenschaft
Advisor: Escher, Beate I. (Prof. Dr.)
Day of Oral Examination: 2018-10-19
DDC Classifikation: 500 - Natural sciences and mathematics
Keywords: Verteilung , Bioverfügbarkeit , In vitro
Other Keywords:
Bioavailability
Cell-based bioassays
Chemical partitioning
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Abstract:

The application of in vitro cell-based bioassays is increasing in chemical risk and hazard assessment and their implementation in high-throughput screening (HTS) format can contribute significantly to meet the high demands on effect data for the increasing number and variety of anthropogenic chemicals. Their suitability to replace whole-organism tests in human health risk assessment depends on the ability to quantitatively predict effects in humans, referred to as quantitative in vitro-in vivo extrapolation (QIVIVE). The determination of chemical bioavailability is an important prerequisite for the QIVIVE, but is challenging to do by experiment due to the small medium volumes used in HTS. The thesis aimed to develop and experimentally parameterize models that enable the prediction of the bioavailability of neutral and ionizable chemicals in various cell-based bioassays. The results emphasize the complexity of in vitro exposure as it results from several physiochemical properties interacting with different biological molecules and processes. The presentation demonstrates that simple equations based on predicted input parameters can prospectively improve chemical dosing and prevent experimental artifacts leading to poor data quality. The developed experimentally verified mass balance and kinetic models can be used for improved data analysis to quantify reliable freely dissolved and cellular concentrations that can subsequently be applied to QIVIVE models.

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