Correcting for magnetic field drift in magic-angle spinning NMR datasets

Area of Science:

• Solid-state Nuclear Magnetic Resonance (NMR) Spectroscopy
• Materials Science
• Analytical Chemistry

Background:

• Magnetic field drift in superconducting magnets is a significant issue in high-resolution magic angle spinning (MAS) NMR.
• This drift leads to detrimental spectral broadening and lineshape distortion, particularly for samples with narrow intrinsic linewidths (<0.1 ppm).

Purpose of the Study:

• To introduce and validate a straightforward linear correction method for mitigating magnetic field drift effects in MAS NMR.
• To demonstrate the efficacy of this correction for improving spectral quality in proton-detected experiments.

Main Methods:

• Development of C programming language scripts for linear drift correction of multidimensional (2D, 3D, 4D) NMR datasets.
• Implementation of a script for subdividing, individually correcting, and concatenating NMR datasets to approximate linear drift correction over short acquisition times.
• Direct execution of correction scripts within the Bruker Topspin software environment.

Main Results:

• A simple linear correction significantly improves spectral quality by reducing line broadening and lineshape distortion caused by magnetic field drift.
• The linear correction is found to be a valid approximation for actual field drift when data acquisition periods are sufficiently short.
• The developed scripts enable efficient correction of multidimensional MAS NMR data.

Conclusions:

• Linear correction of magnetic field drift is a practical and effective strategy for enhancing the quality of proton-detected MAS NMR spectra.
• This approach offers a valuable tool for researchers working with high-quality samples requiring precise spectral resolution.
• The developed computational tools facilitate the application of this correction method in routine NMR data processing.