The robust NMR toolbox for metabolomics
Kousik Chandra1, Samah Al-Harthi1, Fatimah Almulhim1
1Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia. Mariusz.jaremko@kaust.edu.sa.
Abstract:
Here, we implemented and validated a suite of selective and non-selective CPMG-filtered 1D and 2D TOCSY/HSQC experiments for metabolomics research. They facilitated the unambiguous identification of metabolites embedded in broad lipid and protein signals. The 2D spectra improved non-targeted analysis by removing the background broad signals of macromolecules.
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