2025 Annual Report
Annual Report
We are hiring a new Science Manager!
News

We are hiring a new Science Manager!

We are looking for a dynamic and enthusiastic scientist to join our Secretariat as Science Manager. This position offers a unique opportunity to work at the interface of science, policy, and regul...
January 2026 news from the Sec Gen
News

January 2026 news from the Sec Gen

Dear colleagues and friends, As we begin a new year, I would like to thank you for your continued engagement and trust in ECETOC. 2026 promises to be an exciting and dynamic year, and I am pleased...
HSSD Tool

HSSD Tool

This software was developed by a consortium of partners to facilitate the uptake of novel approaches to estimate aquatic threshold concentrations (e.g. the concentration at which 5% of the species are exposed above their EC50, HC5).
The Human Exposure Assessment Tools Database (heatDB)

The Human Exposure Assessment Tools Database (heatDB)

heatdb is a public directory of exposure data sources as well as available tools for exposure
NanoApp

NanoApp

ECETOC’s NanoApp is a tool designed to define the boundaries of sets of similar nanoforms and to generate a justification for the REACH registration.
Targeted Risk Assessment (TRA)

Targeted Risk Assessment (TRA)

The Targeted Risk Assessment (TRA) estimates exposures to workers, consumers and the environment that arise during a series of events.
Chronic fish case studies towards an IATA

Chronic fish case studies towards an IATA

Why? Hazard and safety assessments for the pelagic compartment often rely on in vivo studies using a single fish species, raising ethical concerns and uncertainty in terms of extrapolation....
Estimating the environmental release of Synthetic Polymeric Microparticles from Products

Estimating the environmental release of Synthetic Polymeric Microparticles from Products

Why? REACH restriction: SPM use restricted; emissions reporting required by May 2027. Gap: No analytical methods available to measure SPM emissions. Solution: Draft SPERC-based approac...
Case Studies on Reliability and Relevance Considerations during Validation of NAMs

Case Studies on Reliability and Relevance Considerations during Validation of NAMs

Why? Validation of NAMs is often overlooked despite its importance for regulatory use. Traditional validation methods are less suitable for NAMs, which focus on key events rather than apical...
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HSSD Tool

This software was developed by a consortium of partners to facilitate the uptake of novel approaches to estimate aquatic threshold concentrations (e.g. the concentration at which 5% of the species are exposed above their EC50, HC5).

HSSD Tool: Scenario-based Species Sensitivity Distributions (SSD)

This software was developed by a consortium of partners to facilitate the uptake of novel approaches to estimate aquatic threshold concentrations (e.g. the concentration at which 5% of the species are exposed above their EC50, HC5). The software improves on existing approaches (Aldenberg & Jaworska, 2000) by allowing for:

  • Non-exchangeability of species: The standard SSD approach is based on the assumption that the sensitivity of a species for a chemical cannot be predicted a priori. Craig et al. (2012) have demonstrated non-exchangeability by using a large database of tolerances to pesticides for fish species. The model approaches underpinning the SSD Tool account for the fact that some species seem to be more (and less) sensitive to chemicals than others.
  • Censored data: The SSD Tool will allow < and > data when these are available.
  • A non-lognormal distribution shape: The SSD Tool model does not assume that species sensitivities can best be described by a lognormal distribution.

The Hierarchical SSD (hSSD) software tool is hosted by Durham University and can be downloaded here.

Supporting documentation:
  • Craig, P. 2013. Exploring novel ways of using species sensitivity distributions to establish PNECs for industrial chemicals: Final report to Project Steering Group 3 April 2013. Durham University.
    Link to publisher’s webpage
  • ECETOC Workshop Report No.28: Estimating toxicity thresholds for aquatic ecological communities from sensitivity distributions. 11-13 February 2014.

Predicting the toxicity of chemicals to aquatic communities is an integral element in environmental risk assessment. It is therefore a major component in environmental protection strategies and in the process of managing the safe use and disposal of chemicals. Hazard (toxicity) is most frequently predicted using concentration effect data from single species toxicity tests which measure effects on individuals. However, the protection goals are generally wider i.e. populations, communities and ecosystems. Species sensitivity distributions, SSDs, describe the statistical distribution of species sensitivity to a toxicant and so can predict hazardous concentrations (HCps) affecting a certain percentage (p) of all the species in a community. Estimated HCps for environmental protection are usually the 5th percentile of the distribution and are used to derive a protective threshold concentration for an ecosystem.

ECETOC and the Environment Agency for England organised a three day workshop in February 2014 to discuss and review current statistical SSD models, when and how they should be used in regulatory applications and their ecological significance. A number of recommendations were made on how SSD methods could be further developed to improve the quality of decisions needed from both the prospective risk and retrospective impact assessment of chemicals.

The findings were published as ECETOC Workshop Report No.28: Estimating toxicity thresholds for aquatic ecological communities from sensitivity distributions. 11-13 February 2014.

More ECETOC Tools

HeatDB

A public directory of exposure data sources as well as available tools for exposure
&

Targeted Risk Assessment (TRA)

The Targeted Risk Assessment (TRA) estimates exposures to workers, consumers and the environment that arise during a series of events.
&

NanoApp

A platform to to establish and justify sets of nanoforms and identify poorly soluble – low toxicity (PSLT) nanoforms
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