Proefschrift
Solution in Dissolution: dynamics and fate of metal-based nanoparticles in toxicity assessment
Dissolution processes – next to aggregation processes - play an important role for fate prediction and environmental risk assessment of metal-based nanoparticles (MNPs). It is challenging to predict the kinetics of the dissolution process of MNPs in complex systems such as we can find in in vivo and in vitro exposure scenarios.
- Auteur
- Y. Song
- Datum
- 20 november 2024
- Links
- Thesis in Leiden Repository
Previous experiences with the case-by-case risk assessment of MNPs had demonstrated that dissolution tests could be exceptionally time- consuming and resource-intensive. For instance, what we learn from the case study written in Chapter 4 was that the size effect on the dissolution and toxicity could only be applied with limited MNPs in specific scenarios. Furthermore, limited experimental data on MNP dissolution were generated. To overcome these time-consuming efforts, predictive models can be seen as an efficient alternative. In this thesis, we developed a model to calculate the dissolution rate constant (Chapter 2), utilized computational methods to predict dissolution curves (Chapter 3), and conducted experimental case studies to investigate the dissolution and toxicity of different MNPs (Chapters 4 and 5). This knowledge will prove invaluable in crafting more insightful experimental protocols, comprehensively characterizing systems, and interpreting data derived from nanoparticle exposure studies.