NMR-based metabolomics with enhanced sensitivity

Kousik Chandra, Samah Al-Harthi, Sujeesh Sukumaran, Fatimah F. Almulhim, Abdul-Hamid M. Emwas, Hanudatta S. Atreya, Lukasz Jaremko, Mariusz Jaremko

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

NMR-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.
Original languageEnglish (US)
Pages (from-to)8694-8700
Number of pages7
JournalRSC Advances
Volume11
Issue number15
DOIs
StatePublished - Feb 25 2021

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