Type
Book ChapterAuthors
Emwas, Abdul-Hamid M.Alghrably, Mawadda
Al-Harthi, Samah

Gabriel Poulson, Benjamin
Szczepski, Kacper
Chandra, Kousik
Jaremko, Mariusz

KAUST Department
Biological and Environmental Sciences and Engineering (BESE) DivisionBioscience
Bioscience Program
NMR
Date
2020-04-08Permanent link to this record
http://hdl.handle.net/10754/661519
Metadata
Show full item recordAbstract
Although nuclear magnetic resonance spectroscopy is a potent analytical tool for identification, quantification, and structural elucidation, it suffers from inherently low sensitivity limitations. This chapter focuses on recently reported methods that enable quick acquisition of NMR spectra, as well as new methods of faster, efficient, and informative two-dimensional (2D) NMR methods. Fast and efficient data acquisition has risen in response to an increasing need to investigate chemical and biological processes in real time. Several new techniques have been successfully introduced. One example of this is band-selective optimized-flip-angle short-transient (SOFAST) NMR, which has opened the door to studying the kinetics of biological processes such as the phosphorylation of proteins. The fast recording of NMR spectra allows researchers to investigate time sensitive molecules that have limited stability under experimental conditions. The increasing awareness that molecular structures are dynamic, rather than static, has pushed some researchers to find alternatives to standard, time-consuming methods of 15N relaxation observables acquisition.Citation
Emwas, A.-H., Alghrably, M., Al-Harthi, S., Gabriel Poulson, B., Szczepski, K., Chandra, K., & Jaremko, M. (2019). New Advances in Fast Methods of 2D NMR Experiments. Nuclear Magnetic Resonance [Working Title]. doi:10.5772/intechopen.90263Sponsors
We would like to thank King Abdullah University of Science and Technology for financial support.Publisher
IntechOpenAdditional Links
https://www.intechopen.com/online-first/new-advances-in-fast-methods-of-2d-nmr-experimentsae974a485f413a2113503eed53cd6c53
10.5772/intechopen.90263
Scopus Count
Except where otherwise noted, this item's license is described as Archived with thanks to IntechOpen. © 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.