Efficient laplace NMR methods for biological nanoparticles, ionic liquids and porous materials research

The doctoral dissertation aimed to characterize different materials in a non-invasive way. We developed and used different Laplace NMR (LNMR) methods to characterize biological nanoparticles, ionic liquids, and porous materials. Diffusion NMR experiments were used to study size distributions of extracellular vesicles, and so called 129Xe hyper-CEST NMR was used to distinguish different environments in the sample with higher sensitivity and specificity. A novel ultrafast 2D T2-T2 relaxation exchange experiment (UF REXSY) was introduced, and its feasibility was demonstrated by studying the aggregation of ions in an ionic liquid and quantifying the molecular exchange rate efficiently. Furthermore, we demonstrated the feasibility of using nonlinear instead of traditional linear sampling in the indirect dimension of the UF inversion recovery (UF IR) and T1-T2 correlation experiments, which results in a more optimal sampling of the data with enhanced resolution. The method can also be used in other ultrafast NMR experiments to optimize data sampling.