A quantitative risk assessment for skin sensitizing plant protection products: Linking derived No-Effect levels (DNELs) with agricultural exposure models.

Chemical skin sensitizers produce allergic contact dermatitis, which is one of the most frequent occupational diseases associated with chemical exposures. Skin exposure is the major route of exposure when using plant protection products (PPPs). Therefore, skin sensitization is an important factor to be addressed during the regulatory risk assessment of PPPs. The main regulatory decision criterion considered when performing risk assessment for skin sensitizers is the dose applied. The equally important criteria "potency of the substance" is insufficiently considered by two potency categories as potency may vary up to five orders of magnitude. "Frequency of exposure" to the skin sensitizer is not considered at all. Consequently, an improved risk assessment methodology is essential to adequately assess health risks from skin sensitizers, especially for agricultural operators using PPPs. A quantitative risk assessment (QRA) approach for addressing PPPs sensitizing potential is proposed here. This QRA combines a methodology to derive a substance-specific threshold for skin sensitizers, a Derived No-Effect Level (DNEL), and an agricultural exposure model used for assessing chronic health risks of PPPs. The proposed QRA for skin sensitizing PPPs is a clear improvement over current risk assessment to ensure the safe use of skin sensitizers in an occupational context.

Assessment of the potential human health risks from exposure to complex substances in accordance with REACH requirements. "White spirit" as a case study.

The European chemical control regulation (REACH) requires that data on physical/chemical, toxicological and environmental hazards be compiled. Additionally, REACH requires formal assessments to ensure that substances can be safely used for their intended purposes. For health hazard assessments, reference values (Derived No Effect levels, DNELs) are calculated from toxicology data and compared to estimated exposure levels. If the ratio of the predicted exposure level to the DNEL, i.e. the Risk Characterization Ratio (RCR), is less than 1, the risk is considered controlled; otherwise, additional Risk Management Measures (RMM) must be applied. These requirements pose particular challenges for complex substances. Herein, "white spirit", a complex hydrocarbon solvent, is used as an example to illustrate how these procedures were applied. Hydrocarbon solvents were divided into categories of similar substances. Representative substances were identified for DNEL determinations. Adjustment factors were applied to the no effect levels to calculate the DNELs. Exposure assessments utilized a standardized set of generic exposure scenarios (GES) which incorporated exposure predictions for solvent handling activities. Computer-based tools were developed to automate RCR calculations and identify appropriate RMMs, allowing consistent communications to users via safety data sheets.