View in EDS

Reconstructing diffusion ordered NMR spectroscopy by simultaneous inversion of Laplace transform.

Saved in:
Bibliographic Details
Title: Reconstructing diffusion ordered NMR spectroscopy by simultaneous inversion of Laplace transform.
Authors: Yuan, Bin1,2 yuankanxue@163.com, Ding, Yiming1 ding@wipm.ac.cn, Kamal, Ghulam M.1,2 kamal_ss@hotmail.com, Shao, Limin3 lshao@ustc.edu.cn, Zhou, Zhiming1 zm.zhou@wipm.ac.cn, Jiang, Bin1 jbin@wipm.ac.cn, Sun, Peng1 sunpeng@wipm.ac.cn, Zhang, Xu1 zhangxu@wipm.ac.cn, Liu, Maili1 ml.liu@wipm.ac.cn
Source: Journal of Magnetic Resonance. May2017, Vol. 278, p1-7. 7p.
Subjects: Nuclear magnetic resonance spectroscopy, Semiconductor diffusion, Laplace transformation, Intermolecular interactions, Low-rank matrices
Abstract: 2D diffusion-ordered NMR spectroscopy (DOSY) has been widely recognized as a powerful tool for analyzing mixtures and probing inter-molecular interactions in situ. But it is difficult to differentiate molecules with similar diffusion coefficients in presence of overlapped spectra. Its performance is susceptible to the number of chemical components, and usually gets worse when the number of components increases. Here, to alleviate the problem, numerical simultaneous inversion of Laplace transform (SILT) of many related variables is proposed for reconstructing DOSY spectrum (SILT-DOSY). The advantage of the proposed method in comparison to other methods is that it is capable of estimating the number of analytes more accurately and deriving corresponding component spectra, which in turn leads to the more reliable identification of the components. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Magnetic Resonance is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:2D diffusion-ordered NMR spectroscopy (DOSY) has been widely recognized as a powerful tool for analyzing mixtures and probing inter-molecular interactions in situ. But it is difficult to differentiate molecules with similar diffusion coefficients in presence of overlapped spectra. Its performance is susceptible to the number of chemical components, and usually gets worse when the number of components increases. Here, to alleviate the problem, numerical simultaneous inversion of Laplace transform (SILT) of many related variables is proposed for reconstructing DOSY spectrum (SILT-DOSY). The advantage of the proposed method in comparison to other methods is that it is capable of estimating the number of analytes more accurately and deriving corresponding component spectra, which in turn leads to the more reliable identification of the components. [ABSTRACT FROM AUTHOR]
ISSN:10907807
DOI:10.1016/j.jmr.2017.03.004