Background Questions on Ecotoxicity Testing and Predictive Models

EcoToxicity’s Docs ▸ Background Questions on Ecotoxicity Testing and Predictive Models

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Please use the survey below to submit your opinion on the state of the Ecotoxicity Testing and Predictive Models field.

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1. Knowledge gaps. Please list your top three knowledge gaps.

2. Research Priorities. Please list your top three research priorities.

3. Emerging nanomaterials. Are you aware of any emerging type(s) of nano material that we have not focused on yet (e.g., 2-3 generation)?

4. ‘Rules-of-thumb’. Please list and describe how close we are to coming up with ‘rules-of-thumb’ relations regarding environmental toxicity of nanomaterials (e.g., corrections for water hardness, pH effects, most sensitive organism, most sensitive endpoints etc).

5. Particle size/shape. Please describe what evidence (not opinion) there is on the relationship between particle size/shape and toxicity? Is there a weight of evidence one way or another for a particle-size/shape effect in the ecotox literature?

6. Long term effects. What do current tests (and results) tell us about long term ecotox effects?

7. Life-cycle effects. What do current tests (and results) tell us about product life-cycle effects?

8. Toxicity vs. production volume. Please provide your view on what priority, both in terms of hazard and risk assessment, should be given to low toxicity materials produced in high volumes (e.g. TiO2), compared to very toxic materials with low production levels at present (e.g., Cu NPs)?

9. Result communication. Please list/describe how we can strengthen communication between those doing regulatory testing, modelling and fundamental experimental research to create the basis for optimal use of experimental data.

10. Result communication. Please list/describe how we can improve result communication and data sharing between experimentalists/modellers to Risk assessors.

Background Questions on Ecotoxicity Testing and Predictive Models

EcoToxicity’s Docs ▸ Background Questions on Ecotoxicity Testing and Predictive Models

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