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Population toxicokinetics of ethylene: Calibration and preceding investigations

Author

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  • Quinke, Barbara
  • Selinski, Silvia
  • Golka, Klaus
  • Blaszkewicz, M.

Abstract

A basic step in the risk assessment of potential carcinogens is the determination of toxicokinetic parameters. The present approach is part of a strategy to determine the processes of uptake, elimination, and metabolism of the gas ethylene, an important industrial chemical, which is classified in category 3 of carcinogenic substances in the German list of MAK- and BAT-values. This paper deals with the calibration, which is indispensable to determine the decline of atmospheric concentrations of ethylene within a broad range of initial concentrations applied in an inhalation experiment.

Suggested Citation

  • Quinke, Barbara & Selinski, Silvia & Golka, Klaus & Blaszkewicz, M., 2000. "Population toxicokinetics of ethylene: Calibration and preceding investigations," Technical Reports 2000,03, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200003
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    File URL: https://www.econstor.eu/bitstream/10419/77305/2/2000-03.pdf
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    References listed on IDEAS

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    1. Selinski, Silvia, 2000. "Estimation of toxicokinetic population parameters in a four-stage hierarchical model," Technical Reports 2000,01, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    2. Selinski, Silvia & Urfer, Wolfgang, 1998. "Interindividual and interoccasion variability of toxicokinetic parameters in population models," Technical Reports 1998,38, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
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    Cited by:

    1. Schirm, Florian A. & Selinski, Silvia, 2000. "Interindividual and interoccasion variability of toxicokinetic parameters of uptake, exhalation, and metabolism of ethylene," Technical Reports 2000,07, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    2. Selinski, Silvia & Becker, Claudia, 2001. "Outlier detection in experimental data using a modified Hampel identifier," Technical Reports 2001,40, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

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