Song Linhong1; Wang Jiannan1; Su Xuncheng2; Zhang Xu1; Li Conggang1; Zhou Xin1; Yang Daiwen3; Jiang Bin1; Liu Maili1
Source Publicationchinesejournalofchemistry
AbstractIn multidimensional(nD) 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.
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Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
2.College of Chemistry,Nankai University
3.Department of Biological Sciences,National University of Singapore
First Author Affilication中国科学院武汉物理与数学研究所
Recommended Citation
GB/T 7714
Song Linhong,Wang Jiannan,Su Xuncheng,et al. realt1aneffectiveapproachfort1noisesuppressioninnmrspectroscopybasedonresamplingalgorithm[J]. chinesejournalofchemistry,2020,38(1):77.
APA Song Linhong.,Wang Jiannan.,Su Xuncheng.,Zhang Xu.,Li Conggang.,...&Liu Maili.(2020).realt1aneffectiveapproachfort1noisesuppressioninnmrspectroscopybasedonresamplingalgorithm.chinesejournalofchemistry,38(1),77.
MLA Song Linhong,et al."realt1aneffectiveapproachfort1noisesuppressioninnmrspectroscopybasedonresamplingalgorithm".chinesejournalofchemistry 38.1(2020):77.
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