Seminar

Co-Processing NMR spectra with Multi-Dimensional Decomposition

Vladislav Orekhov PhD

Analysis of typical sets of multidimensional NMR experiments for signal assignment, structure calculations, and metabolomic studies, relies on matching of signal frequencies between several experiments. By simultaneous processing of the spectra, this intrinsic reoccurrence of signal frequencies and line-shapes is exploited to enhance quality and efficiency of the data analysis. We use multi-dimensional decomposition (MDD) for co-processing of any combination of experiments and non-uniform sampling for optimizing spectra resolution and sensitivity.