The robust NMR toolbox for metabolomics

Kousik Chandra; Samah Al-Harthi; Fatimah Almulhim; Abdul Hamid Emwas; Łukasz Jaremko; Mariusz Jaremko

doi:10.1039/d1mo00118c

The robust NMR toolbox for metabolomics

Kousik Chandra
, Samah Al-Harthi
, Fatimah Almulhim
, Abdul Hamid Emwas
, Łukasz Jaremko
, Mariusz Jaremko

Research output: Contribution to journal › Article › peer-review

40 Scopus citations

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.

Original language	English (US)
Pages (from-to)	719-724
Number of pages	6
Journal	Molecular Omics
Volume	17
Issue number	5
DOIs	https://doi.org/10.1039/d1mo00118c
State	Published - Oct 2021
Externally published	Yes

ASJC Scopus subject areas

Biochemistry
Molecular Biology
Genetics

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10.1039/d1mo00118c

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AU - Chandra, Kousik

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AU - Almulhim, Fatimah

AU - Emwas, Abdul Hamid

AU - Jaremko, Łukasz

AU - Jaremko, Mariusz

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PY - 2021/10

Y1 - 2021/10

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AB - 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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The robust NMR toolbox for metabolomics

Abstract

ASJC Scopus subject areas

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