Universität Rostock, 2025-08-14
https://doi.org/10.18453/rosdok_id00005704
Abstract: This thesis compiles research efforts aimed at advancing the understanding of microplastics pollution from a data-driven perspective. Regarding data production, it includes the development of a water sampler and a guideline of modular laboratory protocols for the purification of microplastics. Data assessment is covered by studies on method validation, a concept for analytical interlaboratory comparisons, and contributions to data management. Finally, data utilisation is demonstrated through applications in pollution assessment, modelling, and spatial predictive mapping using machine learning.
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