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A biomarker approach to estimate the daily intake of benzene in non-smoking and smoking individuals in Germany

Thomas Schettgen*, Elke Ochsmann, Anne Alt, Thomas Kraus

*Corresponding author for this work

    Abstract

    Owing to its carcinogenic properties, benzene is one of the most important environmental air pollutants. We have applied a simple pharmacokinetic model to estimate the individual daily exposure of persons of the general population to benzene using their urinary excretion of S-phenylmercapturic acid as biomarker of exposure. On the basis of a non-representative convenience sample of the general population, spontaneous urine samples of 43 non-smoking persons, 13 persons with exposure to environmental tobacco smoke (ETS) (as determined by urinary cotinine) and 72 smokers were analyzed for S-phenylmercapturic acid, and benzene exposure was back calculated on the basis of the results. The pharmacokinetic model was based either on estimated daily urinary volume or creatinine excretion. Median daily exposure of non-smokers was calculated to be 47 g/day (volume-based model) and 63 g benzene/day (creatinine-based model). ETS-exposed persons had a slightly higher median daily exposure of 65 g/day (volume-based model) and 72 g benzene/day (creatinine-based model). The daily exposure of smokers was significantly higher with median values of 491 g benzene/day (volume-based model) and 693 g benzene/day (creatinine-based model). Our biomarker-based model gave plausible results for daily benzene exposure that were in good agreement with exposure estimations published earlier. As it is purely based on the determination of individual internal dose, our model provides a powerful tool for the risk assessment of environmental benzene.

    Original languageEnglish
    JournalJournal of Exposure Science and Environmental Epidemiology
    Volume20
    Issue number5
    Pages (from-to)427-433
    Number of pages7
    ISSN1559-0631
    DOIs
    Publication statusPublished - 17.07.2010

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being
    2. SDG 10 - Reduced Inequalities
      SDG 10 Reduced Inequalities

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