The CCME ISQG provides both aroclor- and congener-based LALs (CCME, 2002). Based upon the ratio of these two values, the DaS aroclor-based LAL

was converted to a congener-based value of 34 ng/g. Although this is a compromise, we concluded that this created no greater ERK inhibitors library ambiguity than an incorrect and inconsistent conversion of the data. A set of regulatory scenarios was developed, based upon SQGs used, constituents considered and whether only chemical LALs or also UALs were applied; these scenarios were then defined as test protocols. For each scenario, SQG quotients were calculated for all samples and constituents to be considered. For contaminant i, and sample j, SQG quotientij=SQGi/[C]ij,SQG quotientij=SQGi/[C]ij,where [C]i is the concentration of contaminant i in sample j and SQGi is the LAL or UAL SQG of interest. If www.selleckchem.com/products/MDV3100.html this value is ⩾1, then the sample has “failed” for that analyte. The overall sample pass/fail for each scenario was then evaluated. For this study, a one out, all out rule is applied such that if a sample fails for one chemical, it is considered to have failed Tier 1. There are a range of other decision rules that can be applied in a framework (see, for example, Apitz, 2008 and Apitz, 2011), all of which can be tested using the database, but this is the

simplest approach. For the application of a single set of SQGs as LAL values, the performance of different scenarios was compared to that of the current DaS approach. On a contaminant-by-contaminant basis, and then considering the full sample results, the decision tree in Fig. 2a was applied. This approach determines, for a given contaminant and protocol, and for the sample overall,

whether the test protocol agrees with the DaS approach (pass/fail) or whether the test protocol is more or less conservative than the DaS protocol If they agree on a pass, there is no change Nintedanib (BIBF 1120) in regulatory outcome for the two protocols, the sample (for the analyte under consideration) would pass under both approaches. For a “More Conservative” test outcome, the sample fails for the test analyte using the test protocol, but it would pass under the DaS protocol. This can happen either if the test SQG is more conservative than the DaS protocol or if the test protocol includes a contaminant that the DaS does not (and the contaminant fails that SQG). A “Less conservative” test outcome can happen if the DaS SQG for a given constituent is less conservative than that in the test protocol. If both protocols agree on a failure, there is no change in regulatory outcomes between these two approaches. The sum of the “More Conservative” test outcomes and agreed failures represents the overall failure rate for a given analyte or overall, for the test protocol.