The 2010 LRI Innovative Science Award went to Dr. Juana Maria Delgado Saborit from Birmingham University, UK.
Dr. Delgado Saborit is a Research Fellow at the Division of Environmental Health and Risk Assessment at the University of Birmingham. During Dr. Delgado-Saborit's work at the UoB, she has been coordinating several projects and she has developed several models for predicting exposures in the general population. Currently, in a project funded by UK Natural Environment Research Council, she is characterizing sources and processes governing the fate of PAH concentrations and their degradation products (quinones) in ambient air. Previous to her job in the UK, she was a PhD student and a lecturer in Spain. Dr. Delgado Saborit has gained a great expertise measuring and analysing different pollutants in projects involving sampling in a wide range of microenvironments sa well as recruiting and sampling with subjects. Her work has been published in top peer-review journals such as Environmental Health Perspectives and Environmental Science and Technology.
Her research proposal on "In quest of new fingerprints of exposure to VOC from consumer products" will bring more insight to the potential impacts of VOCs on health at the low levels of exposures emitted from consumer products in indoor environments. This will help the industry to formulate consumer products, and policy makers to produce standards, rules and directives that will protect consumers' health.
The Award was presented in conjunction with the Federation of European Toxicologists and European Societies of Toxicology (EUROTOX), the Society of Environmental Toxicology and Chemistry (SETAC) and the International Society of Exposure Sciences (ISES), with Chemical Week as a media partner.
The other finalists were Dr. Karin Ljung from Karolinska Institutet, Sweden, and Dr. Ming-Yi Tsai from the Swiss Tropical & Public Health Institute, Switzerland with project proposals on "Risk assessment of manganese exposure to infants" and "Real-time mobile monitoring to characterize the spatiotemporal distribution of multiple air pollutants in urban areas" respectively.