Last night Rianne Jacobs received the SETAC Journals Best Paper award for her paper: “Combining exposure and effect modeling into an integrated probabilistic environmental risk assessment for nanoparticles”. The article was part of her PhD project: Statistical Modelling of Variability and Uncertainty in Risk Assessment of Nanoparticles for Wageningen University & Research. She was promoted on July 7, 2016.
“Jacobs describes a thoroughly conducted and innovative study on a probabilistic environmental risk assessment of TiO2 nanoparticles. They present a novel method to model the variability and the uncertainty separately in environmental risk assessment of engineered nanoparticles, so their separate contribution can be assessed. By doing so the authors provide clear guidance for future research in order to reduce the uncertainty in the risk assessment of engineered nanoparticles, something that is greatly needed for their sustainable use.” Paul van den Brink, Personal Professor of Chemical Stress Ecology at Wageningen University & Research and editor of the article of Jacobs.
Reducing uncertainty in risk assessment of nanoparticles
During her research, Jacobs studied various applications of nanoparticles, such as nanosilica in food products, titanium dioxide in cosmetics and medicines and antibacterial silver particles. With her approach, Jacobs was able to identify the most important sources of uncertainty in these applications. Based on this identification, research can focus on the most crucial areas, which leads to substantial progress in reducing the uncertainty that currently hampers the risk assessment of nanoparticles.
“Wow! This is incredible. It is fantastic to see that this statistical research is recognised in a non-statistical discipline such as environmental science. With special thanks to my second author, Joris Meester, whose contribution on the behaviour of nanoparticles in the environment was essential ”,was Jacobs first reaction.
SETAC Journal Best Paper Award
Environmental Toxicology and Chemistry rewards a best paper award annually for an article that was published in the prior volume year. Articles are nominated by Editors, with input from reviewers of the papers, and judged by a committee comprised of a subset of Editors from the respective journals.