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Thus mixture exposures are a subset of combined exposures.
As discussed in the methods section, the data on the mixture exposures are composed of seven data sets (CH 1 1, CH 1 2, CH 2 1, CH 2 2, JRC, UKCIP, and EA).
In this assessment, we have not attempted to identify data on the MoA of the various substances; however, the substances that are the top contributors to HI values for these mixture exposures are identified.
Exposure concentrations used for both single-pesticide and mixture exposures are shown in Table 2. Pesticide-containing stock solutions were prepared in methanol (or ethanol for chlorpyrifos) and added in 100-μL aliquots to 25 L hatchery water in 30-L glass aquaria.
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Approximately 12% of the mixture exposures were predicted to have toxicities of concern (HI > 1) that would not have been identified unless a combined assessment had been performed (Group III).
The chromatograms of BPA 5 mg/L + TiO2 10 mg/L before and after mixture exposure are shown in Figure 2C, D. This experiment primarily demonstrated that an adsorption relationship between BPA and TiO2-NPs did exist.
A key component for the identification of hazard drivers in complex mixture exposure is the EDA approach, where combinations of non-target/target screening [31] with bioanalytical tools can be applied in different tiers to identify drivers of toxicity or in combination with toxicity information or hazardous properties of encountered substances [35, 42].
Identifying and characterizing how mixtures of exposures are associated with health endpoints is challenging.
Mixture exposures that are found not to pose a concern are assigned to Group II.
This allows risk managers to focus on mixtures where assessments of combined exposures are most necessary.
Unless diesel exposure is individually confirmed, it appears probable that early exposures are a variable mixture of diesel and non-diesel emissions.
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