Literature DB >> 20661917

Decomposition of mixtures' spectra by multivariate curve resolution of rapidly acquired TOCSY experiments.

Eddy Rocío Rey Castellanos1, Julien Wist.   

Abstract

A method is presented that allows for retrieving 1D spectra of the individual components of a mixture from a sparsely acquired 2D-TOCSY spectrum. The decomposition of the 2D-TOCSY data into pure 1D traces is achieved using a non-negative matrix factorization algorithm, also known as multivariate curve resolution analysis. Here, we show that the algorithm can be applied to data processed in the direct dimension only. Thus, our method can be applied to non-linearly sampled experiments or data acquired with few indirect points. An example is shown for the spectra of a mixture of six amino acids, acquired in 15 min. 2010 John Wiley & Sons, Ltd.

Mesh:

Substances:

Year:  2010        PMID: 20661917     DOI: 10.1002/mrc.2654

Source DB:  PubMed          Journal:  Magn Reson Chem        ISSN: 0749-1581            Impact factor:   2.447


  1 in total

1.  Deep Learning-Based Method for Compound Identification in NMR Spectra of Mixtures.

Authors:  Weiwei Wei; Yuxuan Liao; Yufei Wang; Shaoqi Wang; Wen Du; Hongmei Lu; Bo Kong; Huawu Yang; Zhimin Zhang
Journal:  Molecules       Date:  2022-06-07       Impact factor: 4.927

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.