Partial-Homogeneity-Based Two-Dimensional High-Resolution Nuclear Magnetic Resonance Spectroscopy under Inhomogeneous Magnetic Fields

Abstract

High-resolution multidimensional nuclear magnetic resonance (NMR) spectroscopy serves as an irreplaceable and versatile tool in various chemical investigations. In this study, a method based on the concept of partial homogeneity is developed to offer two-dimensional (2D) high-resolution NMR spectra under inhomogeneous fields. Oscillating gradients are exerted to encode the high-resolution information, and a field-inhomogeneity correction algorithm based on pattern recognition is designed to recover high-resolution spectra. Under fields where inhomogeneity primarily distributes along a single orientation, the proposed method will improve performances of 2D NMR spectroscopy without increasing the experimental duration or significant loss in sensitivity, and thus may open important perspectives for studies of inhomogeneous chemical systems. All in good time: An alternative is proposed to preserve high-resolution information under arbitrary 1D inhomogeneous magnetic fields without increasing the acquisition time. This method employs the concept of partial homogeneity along with a 2D field-inhomogeneity correction algorithm developed from pattern recognition. The proposed module is applicable to various kinds of NMR spectroscopy and does not increase the experimental complexity.