Ana Leticia Antonio Vital

PhD student SFB 1357 Mikroplastik - Synthesis project S01

My PhD project proposes the use of machine learning and statistical models, including meta-analysis, to predict the toxicity of microplastics based on their physical properties (e.g., polymer type, size, and shape), chemical properties (e.g., concentration and the presence of associated chemicals), and biological properties (e.g., eco-corona or biofilm formation). To achieve this, I will incorporate data from published literature, the ToMEx database, and data generated through the CRC 1357 Mikroplastik. My focus is on aquatic ecosystems, with an emphasis on Daphnia species. Essentially, my goal is to improve our understanding of microplastic toxicity, gain valuable insights into the most toxic properties of microplastics, and develop models to predict their toxicity across different species and endpoints. By addressing these research gaps, the project will contribute to improved risk assessment practices and the development of safer materials, ultimately mitigating the environmental impact associated with microplastics.