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Critical predicted no effect concentrations (PNECs) should not be based on a single toxicity test
Peter M Chapman1, James R Elphick
1Golder Associates, Vancouver, British Columbia, Canada.
Environmental risk assessments rely on predicted no-effect concentrations (PNECs). This study highlights that PNECs derived from single toxicity tests can be unreliable, especially with shallow concentration-response curves, recommending multiple tests for accuracy.
Area of Science:
- Environmental toxicology
- Ecotoxicology
- Risk assessment
Background:
- Predicted no-effect concentrations (PNECs) are crucial for environmental risk assessment, policy, and regulation.
- PNECs are typically derived from single-species laboratory toxicity tests, often relying on the most sensitive endpoints.
- The reliability of these sensitive endpoints is critical for accurate risk assessment.
Purpose of the Study:
- To emphasize the importance of assessing the reliability of sensitive endpoints used in PNEC derivation.
- To present a case study on the variability of toxicity test results for Daphnia magna.
- To provide recommendations for improving the robustness of PNEC calculations.
Main Methods:
- Conducted five 21-day Daphnia magna toxicity tests using identical procedures across two laboratories.
- Assessed the 20% inhibitory concentration (IC20) response to a specific ionic composition of total dissolved solids.
- Analyzed the variability in IC20 results and the characteristics of the concentration-response curve.
Main Results:
- IC20 values for total dissolved solids varied significantly, ranging from 684 mg/L to over 1510 mg/L.
- The concentration-response curve was observed to be shallow, indicating potential for high variability.
- Differences in results could be attributed to random chance due to the shallow curve.
Conclusions:
- Relying on a single toxicity test result for sensitive endpoints can lead to unreliable PNECs.
- The geometric mean of at least three test results should be used to determine PNECs.
- This approach helps to adequately assess and bound test variability, particularly with shallow concentration-response curves.
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