Very persistent and very mobile (vPvM) substances pose a growing threat to water resources due to their resistance to degradation and their ability to bypass conventional water treatment. This confirmation of candidature explores the latest advances in cheminformatics and high-resolution mass spectrometry (HRMS) for identifying and predicting these contaminants. I will discuss current challenges in regulatory classification, analytical detection, and predictive modelling, highlighting gaps in experimental data and the role of machine learning in addressing them. By integrating novel computational approaches with non-targeted HRMS, I hope we can improve the identification of vPvM chemicals and better assess their environmental risks.

Please note this is a Student Progress Review Presentation by Tobias Hulleman

Venue

20 Cornwall Street, Woolloongabba
Room: 
QAEHS Level 3 interactive space

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