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Partial‐Homogeneity‐Based Two‐Dimensional High‐Resolution Nuclear Magnetic Resonance Spectroscopy under Inhomogeneous Magnetic Fields
Author(s) -
Qiu Wenqi,
Wei Zhiliang,
Ding Nan,
Yang Yu,
Ye Qimiao,
Lin Yulan,
Chen Zhong
Publication year - 2016
Publication title -
chemphyschem
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.016
H-Index - 140
eISSN - 1439-7641
pISSN - 1439-4235
DOI - 10.1002/cphc.201501207
Subject(s) - homogeneity (statistics) , nuclear magnetic resonance spectroscopy , spectroscopy , nuclear magnetic resonance , two dimensional nuclear magnetic resonance spectroscopy , resolution (logic) , magnetic field , high resolution , spectral line , chemistry , chemical shift , materials science , analytical chemistry (journal) , computational physics , physics , computer science , remote sensing , quantum mechanics , astronomy , machine learning , artificial intelligence , chromatography , geology
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.