Methods of non-stationary signal processing for more sensitive NMR spectroscopy

Nuclear magnetic resonance (NMR) spectroscopy is one of the most powerful tools of chemical analysis. Invention of multidimensional NMR in 1970s opened way to such advanced studies as determination of biomolecular structures in solution. However, multidimensional spectroscopy is very time-consuming due to rules of conventional signal sampling theory. The measurement times can reach several days to provide sufficient resolution. Moreover, many NMR experiments have to be repeated in varying conditions which makes them prohibitively long.

The current project proposes a new approach to accelerate the serial NMR measurements manyfold. The approach, based on Radon transform and fractional Fourier transform will be developed and implemented in various kinds of NMR spectroscopy: solid state, pure-shift, time-resolved and diffusion-ordered. Results will contribute to more efficient exploitation of NMR in pharmaceutical research and food industry, to mention just few applications.