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. 2018 Nov 27;60(6):453-457.
doi: 10.1539/joh.2018-0046-OA. Epub 2018 Jul 27.

Further examination of log Pow-based procedures to estimate biological occupational exposure limits

Toshio Kawai  1 , Haruhiko Sakurai  2 , Masayuki Ikeda  3
Affiliations

Further examination of log Pow-based procedures to estimate biological occupational exposure limits

Toshio Kawai et al. J Occup Health. .

Abstract

Objectives: To test the reliability of the procedures (described in a previous article) for estimation of biological occupational exposure limits (BOELs).

Methods: Data on four organic solvents (styrene, ethyl benzene, isopropyl alcohol and tetrachloroethylene) were obtained from recent publications and added to previously cited data for 10 organic solvents. Regression analysis was used for statistical evaluation.

Results and discussion: The previously reported results obtained using 10 solvents were reproduced by the analysis with 14 solvents. Repeated randomized division of the 14 sets into two subgroups of equal size followed by statistical comparisons did not show a significant difference between two regression lines. This reproducibility suggests that the procedures used to estimate BOELs may be applicable across many solvents, and this may be of particular benefit for protecting the health of workers who work with skin-penetrating solvents.

Keywords: Biological occupational exposure limit; Exposure-excretion relationship; Log Pow; Organic solvent; Regression analysis.

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Conflict of interest statement

Conflicts of interest: None declared.

Figures

Fig. 1.
Fig. 1.
Linear regression between log Pow and log slope. The slope was calculated by relating the 8-hour TWA exposure to each solvent and excretion of un-metabolized solvent in the end-of-shift urine, as described in previous reports, . The solid circles represent the 10 solvents used in the original study, and the open circles designate the additional 4 solvents presented in this work: 1=ethylbenzene, 2=isopropyl alcohol, 3=styrene, and 4=tetrachloroethylene. The line in the middle is the calculated regression line, and the two curves on both sides show 95% confidence range. The equations are presented in the Results section of the text.
See this image and copyright information in PMC

References

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