Sensitivity losses and line shape modifications due to molecular diffusion in continuous encoding ultrafast 2D NMR experiments.
Recent ultrafast techniques make it possible to obtain multidimensional (nD) NMR spectra in a single scan. These ultrafast methods rely on a spatial encoding process based on radiofrequency (RF) pulses applied simultaneously with magnetic field gradients. Numerous approaches have been proposed in the past few years to perform this excitation process, most of them relying on a continuous excitation of the spins throughout the whole sample. However, the resolution and sensitivity of ultrafast nD spectra are often reduced by molecular diffusion effects due to the presence of gradients during the excitation process. In particular, increasing the excitation period is necessary to improve the resolution in the ultrafast dimension, but it leads to high sensitivity losses due to diffusion. In order to understand better and to limit molecular diffusion effects, a detailed theoretical and experimental study of the various continuous ultrafast excitation processes is carried out in the present study. New numerical simulations of ultrafast echo line shapes are presented and compared to experimental data. The evolution of the signal intensity with the excitation process duration is also simulated and compared to experimental intensity losses. The different excitation schemes are compared in order to determine the best excitation conditions to perform 2D ultrafast experiments with optimum resolution and sensitivity. The experimental and theoretical results put in evidence the efficiency of the multi-echo scheme.
Giraudeau
Patrick
P
Université de Nantes, CNRS, Chimie et Interdisciplinarité: Synthèse, Analyse, Modélisation, UMR 6230, Faculté des Sciences, B.P. 92208, 2 rue de la Houssinière, F-44322 Nantes Cedex 03, France. patrick.giraudeau@univ-nantes.fr
Akoka
Serge
S
D000465:Algorithms; D003198:Computer Simulation; D004058:Diffusion; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008956:Models, Chemical; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted