Overview
Worldwide, serious concern has arisen about the increased incidence of learning and developmental disorders in children. In this webinar Prof. Pim Leonards will discuss workflows to perform target and non-target metabolomics, and provide some examples to understand the underlying molecular mechanisms of observed effects of biocide exposure in rats in relation to behaviour and cognitive changes.
He will also discuss how we find compounds that cause toxicity in the environment and humans. For these studies LC-HRTOF-MS was used in combination with MetaboScape and TASQ software packages to map the biochemical networks affected. One of the interesting findings was that effects were sex specific and part of these differences could be explained by metabolomics.
Speaker
Pim Leonards
Professor Environmental Bioanalytical Chemistry Environment & Health, VU University of Amsterdam, Netherlands
Pim Leonards is a professor in Environmental Bioanalytical Chemistry with more than 20 years of experience, and has been involved in field and experimental studies related to environmental chemistry, analytical method development, bioaccumulation, indoor exposure, and metabolomics within the scope of PhD projects, contract research for government and industry, and various European Framework projects. He was the coordinator of EU research project “Life Cycle Assessment of Environment-Compatible Flame Retardants (Prototypical Case Study) (ENFIRO)”. Currently he coordinates the EU “Developmental Neurotoxicity Assessment of Mixtures In Children (DENAMIC)”. Pim Leonards has a broad experience in trace organic analysis, ecotoxicology, metabolomics, and risk assessment. He has published more than 100 scientific articles on the topics of environmental chemistry, analysis, ecotoxicology and metabolomics.
Key Learnings
- Learn how combining targeted and non-target Metabolomics workflows can advance our understanding of developmental neurotoxicity of biocides
- Understand how MetaboScape™ and TASQTM software streamline these Workflows
- Learn why confidence in metabolite annotation is important and how it can be achieved