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Relevance of in vitro toxicity data for titanium dioxide human risk assessment
Are the available data on titanium dioxide toxicity relevant for Risk Assessment? Do the in vitro doses represent realistic exposure levels, or are the observed adverse effects due to very high and improbable concentrations?
Keywords: Titanium dioxide toxicity, Risk Assessment, In vitro data
Due to the reduction in the use of animals for toxicity testing, in vitro (i.e. cell-based) testing is becoming one of the main sources of data on nanomaterial toxicity. While these new studies can mechanistically explain the development of toxic effects, the risk of overdosing is one of the challenges for the implementation of these data in human risk assessment. Often there is no indication about the correspondence of doses used in vitro to exposure concentrations, which prevents putting the results into perspective and selecting more realistic results.
We are interested in verifying how many of the studies about titanium dioxide lung toxicity in vitro applied realistic doses, and to see if there is any trend showing increasing awareness of the risk of overdosing.
We are looking for a motivated, independent, and precise student, with a good knowledge of statistical data analysis. Since you will work with big databases, at least a basic knowledge of either Python, R or Matlab is advised –or great motivation to acquire such skills fast and independently.
Due to the reduction in the use of animals for toxicity testing, in vitro (i.e. cell-based) testing is becoming one of the main sources of data on nanomaterial toxicity. While these new studies can mechanistically explain the development of toxic effects, the risk of overdosing is one of the challenges for the implementation of these data in human risk assessment. Often there is no indication about the correspondence of doses used in vitro to exposure concentrations, which prevents putting the results into perspective and selecting more realistic results. We are interested in verifying how many of the studies about titanium dioxide lung toxicity in vitro applied realistic doses, and to see if there is any trend showing increasing awareness of the risk of overdosing.
We are looking for a motivated, independent, and precise student, with a good knowledge of statistical data analysis. Since you will work with big databases, at least a basic knowledge of either Python, R or Matlab is advised –or great motivation to acquire such skills fast and independently.
Your role will be to use a dosimetry model to compare the doses used in existing in vitro studies with realistic exposure concentrations, e.g. occupational exposure limits. You will perform statistical analyses of the results, to investigate how the choice of dose correlates with different data features. Your interests and your insights about the topic are also welcome to further shape the thesis.
Your role will be to use a dosimetry model to compare the doses used in existing in vitro studies with realistic exposure concentrations, e.g. occupational exposure limits. You will perform statistical analyses of the results, to investigate how the choice of dose correlates with different data features. Your interests and your insights about the topic are also welcome to further shape the thesis.