ISSN print edition: 0366-6352
ISSN electronic edition: 1336-9075
Registr. No.: MK SR 9/7

Published monthly
 

Quantitative density operator analysis of correlation spectroscopy NMR experiments

Fengfang Chen, Shengrong Lai, Honghao Cai, Zhiliang Wei, Hanping Ke, Lin Chen, and Liangjie Lin

Zhangzhou Branch Campus of Xiamen Shuangshi Middle School, Zhangzhou, China

 

E-mail: hhcai@jmu.edu.cn

Received: 2 January 2020  Accepted: 8 May 2020

Abstract:

Nuclear magnetic resonance (NMR) spectroscopy, also known as magnetic resonance spectroscopy, is a preeminent and noninvasive analytical technique that provides detailed information about the structure, dynamics, reaction state, and chemical environment of molecules. The development of NMR spectroscopy has led to the awarding of many Nobel Prizes, and today NMR spectroscopy serves as an important and irreplaceable tool in physics and chemistry. Two-dimensional (2D) NMR is effective at separating resonances which have similar chemical shifts, although the interpretation of 2D spectra can be challenging. A systematic density operator-based derivation will aid the understanding of the quantitative mechanism of 2D NMR spectroscopy and the interpreting of outcomes of 2D NMR experiments. Therefore, in this study, we systematically analyzed and compared the quantitative basis of 2D and 1D NMR. Meanwhile, as a proof of principle, simulations using the FID Appliance software toolkit were performed and interpreted using a brain phantom, a popular model for studying brain metabolites. The scheme shown in this paper will facilitate the understanding of quantitative 2D NMR spectroscopic analyses in chemistry and biology.

Keywords: Nuclear magnetic resonance spectroscopy; Correlation spectroscopy; Density operator; Quantification

Full paper is available at www.springerlink.com.

DOI: 10.1007/s11696-020-01197-z

 

Chemical Papers 74 (10) 3641–3649 (2020)

Monday, May 20, 2024

IMPACT FACTOR 2021
2.146
SCImago Journal Rank 2021
0.365
SEARCH
Advanced
VOLUMES
European Symposium on Analytical Spectrometry ESAS 2022
© 2024 Chemical Papers