Project archive

RISK-HUNT3R, short for “RISK assessment of chemicals integrating HUman centric Next generation Testing strategies promoting the 3Rs”, is a European research and innovation project funded under the European Commission’s Horizon 2020 program. The project develops human-based testing strategies for next generation risk assessment.

In a CEFIC-LRI project, Fraunhofer ITEM investigated the "Threshold of Toxicological Concern" (TTC) as a limit value for substances of unknown toxicity.

The aim of PREMIER Project is to deliver a better framework for assessing and characterizing the environmental risks of active pharmaceutical ingredients (APIs).

The foodstuffs will be screened for unknown halogenated organic chemicals by using a non-targeted screening strategy. Experts from Fraunhofer ITEM are working to establish targeted detection limits based on the toxicity of the substances.

The aim of the toxicokinetic study conducted at Fraunhofer ITEM was to determine whether and to what extent carbon black can be absorbed in the body or systemically distributed.

In the Europe-wide SEAWave project, we are conducting an exposure and risk assessment of radio frequency and mm-wave (5G) systems with several partner organisations.

At Fraunhofer ITEM, we are investigating how PFAS impact people’s health. Our main objective here is to separate the PFAS family into subclasses according to their structures and physical and chemical properties, and use this as a basis for determining limits for safe amounts of ingestion for each subclass, i.e., how much can be ingested without causing health risks.

The RITA database is used to store and evaluate histopathological diagnoses of tumors and other proliferative changes in rats and mice from control groups.

Human safety assessment is performed to assess the risk of chemicals to human health. At present, this is done based on data from in-vivo animal testing. But a paradigm shift is underway and Fraunhofer ITEM researchers are contributing their expertise in this area. In an interview, Dr. Sylvia Escher and Dr. Tanja Hansen provided answers to questions of current interest.

Cell painting with subsequent automated image analysis can identify more than 5000 cellular features, forming a “cellular fingerprint”.