REAL‐t₁, an Effective Approach for t₁‐Noise Suppression in NMR Spectroscopy Based on Resampling Algorithm

Summary of main observation and conclusion In multidimensional ( n D) NMR spectroscopy, t 1 noise usually appears as ridges along indirect dimensions, and affects observation of weak signals. The main source of t 1 noise is instrumental instability, which causes random variation of FID amplitude during data acquisitions and introduces random noise‐like peaks into spectrum after Fourier transformation. A number of efforts have been devoted, in order to develop new method or to improve existing approaches for suppressing t 1 noise. Herein, we propose a novel t 1 noise suppression method based on resampling algorithm for data processing, shortened as REAL‐ t 1 . The method was verified using simulated 2D spectra, and NOESY spectra of sucrose and protein GB1, showing that the spectral quality was improved in all cases. The performance of REAL‐ t 1 was also compared with another recently proposed method, which showed that these two methods provided similar performance while REAL‐ t 1 cost much shorter experimental time.