Abstract
Summary of main observation and conclusionIn multidimensional (nD) NMR spectroscopy, t1 noise usually appears as ridges along indirect dimensions, and affects observation of weak signals. The main source of t1 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 t1 noise. Herein, we propose a novel t1 noise suppression method based on resampling algorithm for data processing, shortened as REAL‐t1. 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‐t1 was also compared with another recently proposed method, which showed that these two methods provided similar performance while REAL‐t1 cost much shorter experimental time.
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