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dc.contributor.authorChandra, Kousik
dc.contributor.authorAl-Harthi, Samah
dc.contributor.authorSukumaran, Sujeesh
dc.contributor.authorAlmulhim, Fatimah F.
dc.contributor.authorEmwas, Abdul-Hamid M.
dc.contributor.authorAtreya, Hanudatta S.
dc.contributor.authorJaremko, Lukasz
dc.contributor.authorJaremko, Mariusz
dc.date.accessioned2021-02-25T10:43:52Z
dc.date.available2021-02-25T10:43:52Z
dc.date.issued2021-02-25
dc.date.submitted2021-02-09
dc.identifier.citationChandra, K., Al-Harthi, S., Sukumaran, S., Almulhim, F., Emwas, A.-H., Atreya, H. S., … Jaremko, M. (2021). NMR-based metabolomics with enhanced sensitivity. RSC Advances, 11(15), 8694–8700. doi:10.1039/d1ra01103k
dc.identifier.issn2046-2069
dc.identifier.doi10.1039/d1ra01103k
dc.identifier.urihttp://hdl.handle.net/10754/667673
dc.description.abstractNMR-based metabolomics, which emerged along with mass spectrometry techniques, is the preferred method for studying metabolites in medical research and food industries. However, NMR techniques suffer from inherently low sensitivity, regardless of their superior reproducibility. To overcome this, we made two beneficial modifications: we detuned the probe to reach a position called “Spin Noise Tuning Optimum” (SNTO), and we replaced the conventional cylindrical 5 mm NMR tube with an electric field component-optimized shaped tube. We found that concerted use of both modifications can increase the sensitivity (signal to noise ratio per unit volume) and detection of metabolites and decrease the measurement time by order of magnitude. In this study, we demonstrate and discuss the achieved signal enhancement of metabolites on model non-human (bovine serum, amino acid standard mixture) and human urine samples.
dc.description.sponsorshipThe authors would like to thank the Imaging and Characterization Core Lab at the King Abdullah University of Science and Technology (KAUST) for access to the NMR facilities. KC acknowledges the NMR facilities of NMR Research Centre, Indian Institute of Science, and DST, India. This publication is based on work supported by KAUST Smart Health Initiative grants (SHI REI 4447) (LJ and MJ) and through baseline-funds (LJ and MJ).
dc.publisherRoyal Society of Chemistry (RSC)
dc.relation.urlhttp://xlink.rsc.org/?DOI=D1RA01103K
dc.rightsThis article has open access licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/
dc.titleNMR-based metabolomics with enhanced sensitivity
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentBioscience Program
dc.contributor.departmentBioscience
dc.contributor.departmentNMR
dc.identifier.journalRSC Advances
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionBiological and Environmental Science and Engineering (BESE)
dc.contributor.institutionSaudi Arabia
dc.contributor.institutionNMR Research Centre
dc.contributor.institutionIndian Institute of Science
dc.contributor.institutionBangalore
dc.contributor.institutionIndia
dc.contributor.institutionCore Laboratories
dc.identifier.volume11
dc.identifier.issue15
dc.identifier.pages8694-8700
kaust.personChandra, Kousik
kaust.personAl Harthi, Samah
kaust.personAlmulhim, Fatimah
kaust.personEmwas, Abdul-Hamid M.
kaust.personJaremko, Lukasz
kaust.personJaremko, Mariusz
dc.date.accepted2021-02-17
refterms.dateFOA2021-02-25T10:45:31Z
kaust.acknowledged.supportUnitCharacterization Core Lab


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