2009
DOI: 10.1080/15459620902928141
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The Effect of Workload on Biological Monitoring of Occupational Exposure to Toluene and N-Hexane: Contribution of Physiologically Based Toxicokinetic Modeling

Abstract: A physiologically based toxicokinetic model was used to examine the impact of work load on the relationship between the airborne concentrations and exposure indicator levels of two industrial solvents, toluene and n-Hexane. The authors simulated occupational exposure (8 hr/day, 5 days/week) at different concentrations, notably 20 ppm and 50 ppm, which are the current threshold limit values recommended by ACGIH for toluene and n-hexane, respectively. Different levels of physical activity, namely, rest, 25 W, an… Show more

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Cited by 5 publications
(3 citation statements)
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“…Hexane concentrations in exhaled air increased between 7 and 20% with increasing workload intensity (221). PBTK modeling of hexane exposures predict urinary 2,5-hexanedione increased 35% with increasing workload in the same hexane exposure (222). Steady-state levels of hexane in blood were linearly dose dependent following inhalation of up to 200 ppm.…”
Section: Chronic and Subchronic Toxicitymentioning
confidence: 95%
“…Hexane concentrations in exhaled air increased between 7 and 20% with increasing workload intensity (221). PBTK modeling of hexane exposures predict urinary 2,5-hexanedione increased 35% with increasing workload in the same hexane exposure (222). Steady-state levels of hexane in blood were linearly dose dependent following inhalation of up to 200 ppm.…”
Section: Chronic and Subchronic Toxicitymentioning
confidence: 95%
“…Interestingly, urinary levels following TLV exposures to MEK and 1M2P were found to be higher than the current BEI (see Figure 8), suggesting that work load can have a significant impact on biological exposure indicators. (35) The poorest fit of the model to data occurred in the elimination phases of the urinary biomarkers of exposure, mainly for urinary MEK and urinary 1M2P (free and total). In fact agreement between observed and predicted values is weaker and this can lead to an over-or underestimation of the corresponding exposure level.…”
Section: Notes)mentioning
confidence: 99%
“…18 Modeling can describe the absorption, distribution, metabolism and elimination of a contaminant within an organism, thereby serving to estimate biological exposure indicators or assess the effect of various factors on their levels. 19 The relevance and usefulness of such assessments have been investigated several times in recent years. 6,[20][21][22][23]…”
Section: Introductionmentioning
confidence: 99%