oktober 2021 - september. 2024
januar 2019 - februar. 2023
Avanceret computerbaseret metode til test og vurdering af nanomaterialers miljø- og helbredseffekter og risikoledelse under udvikling baseret på de seneste computermodeller til risikovurdering og kuns...
januar 2020 - december. 2022
Programmet ´Forøget fokus på forskning i kemisk arbejdsmiljø´, FFIKA, blev igangsat i februar 2020 som udmøntning af en del af arbejdsmiljøforliget 2019, hvor der blev omprioriteret i alt 30 mio. kr....
maj 2021 - september. 2022
januar 2015 - januar. 2020
Dette projekt skal bidrage til forebygge spredning af MRSA (CC398) fra hospitalsansatte, der er i kontakt med svin og videre til andre ansatte samt patienter på hospitalet.
maj 2016 - august. 2019
Dansk Center for Nanosikkerhed forsker i sikker anvendelse af nanomaterialer på danske arbejdspladser.
Towards an in silico integrated approach for testing and assessment of nanomaterials: from predicted indoor air concentrations to lung dose and biodistribution [Epub ahead of print]
Tidsskriftartikel
Risk assessment of consumer spray products using in vitro lung surfactant function inhibition, exposure modelling and chemical analysis
Occupational exposure and environmental release: the case study of pouring TiO and filler materials for paint production
Evaluation of one- and two-box models as particle exposure prediction tools at industrial scale
Acute inhalation toxicity after inhalation of ZnO nanoparticles: lung surfactant function inhibition in vitro correlates with reduced tidal volume in mice
Nanoparticle exposure and workplace measurements during processes related to 3D printing of a metal object
Effects of maternal inhalation of carbon black nanoparticles on reproductive and fertility parameters in a four-generation study of male mice
Sperm quality and airway exposure to carbon-based particles and nanomaterials
Investigation of parameters influencing dispersion modelling in the occupational environment
Ph.d.-afhandling
Indoor dispersion of airborne nano and fine particles: Main factors affecting spatial and temporal distribution in the frame of exposure modeling