Predicting blood:air partition coefficients using basic physicochemical properties.

Quantitative Property Property Relationships (QPPRs) for human and rat blood:air partition coefficients (PBAs) have been derived, based on vapour pressure (Log(VP)), the octanol:water partition coefficient (Log(K(OW))) and molecular weight (MW), using partial least squares multilinear modelling. These parameters are all included in the standard data to be submitted under REACH. The chemical dataset consisted of volatile organic chemicals, principally aliphatic hydrocarbons, benzene derivatives with one aromatic ring, and ethers, with and without halogen atoms. Other chemicals represented were cyclic hydrocarbons and carbonic acid esters. Separate rat and human models were derived, as well as mixed ones. Log(VP) and Log(K(OW)) contributed most to the prediction of Log(PBA) in the three-parameter model, while the contribution of MW was relatively small. Still, the three-parameter model differed significantly from the two-parameter model and performed better. Its performance was comparable to that of models published in public literature, which are based on more complex molecular parameters or on measured olive:oil air and saline/water:air partition coefficients. Since, based on the available data for humans, rats, mice, dogs and rabbits, existence of interspecies differences of PBAs cannot be clearly excluded, the use of separate models for each species is advisable. Concluding, the three-parameter human model Log(PBA)=6.96-1.04 Log(VP)-0.533 Log(K(OW))-0.00495MW and the three-parameter rat model 6.16-0.888 Log(VP)-0.521 Log(K(OW))-0.00201MW provide robust and reliable models for predicting PBA values of volatile organic chemicals using commonly available chemical properties of molecules.

Oral-to-inhalation route extrapolation in occupational health risk assessment: a critical assessment.

Due to a lack of route-specific toxicity data, the health risks resulting from occupational exposure are frequently assessed by route-to-route (RtR) extrapolation based on oral toxicity data. Insight into the conditions for and the uncertainties connected with the application of RtR extrapolation has not been clearly described in a systematic manner. In our opinion, for a reliable occupational health risk assessment, it is necessary to have insight into the accuracy of the routinely applied RtR extrapolation and, if possible, to give a (semi-)quantitative estimate of the possible error introduced. Therefore, experimentally established no-observed-adverse-effect-levels for inhalation studies were compared to no-adverse-effect-levels predicted from oral toxicity studies by RtR extrapolation. From our database analysis it can be concluded that the widely used RtR extrapolation methodology based on correction for differences in (estimates of) absorption is not generally reliable and certainly not valid for substances inducing local effects. More experimental data are required (from unpublished data or new experiments) to get insight into the reliability of RtR extrapolation and the possibility to derive an assessment factor to account for the uncertainties. Moreover, validated screening methods to predict/exclude the occurrence of local effects after repeated exposure are warranted. Especially, in cases where chemical exposure by inhalation or skin contact cannot be excluded route-specific toxicity studies should be considered to prevent from inadequate estimates of human health risks.