biostudies-literatureChandra KKing Abdullah University of Science and Technology8694-8700https://www.ebi.ac.uk/biostudies/studies/S-EPMC8695211biostudies-literatureUnknown11(15)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 signalRSC advancesNMR-based metabolomics with enhanced sensitivity.PMC8695211KAUST Smart Health Initiative (SHI REI 4447) seed grants for L. J. and M. J.SHI REI 4447Al-Harthi SEmwas AHAtreya HSChandra KJaremko MAlmulhim FSukumaran SJaremko LfalseNMR-based metabolomics with enhanced sensitivity.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 signal2021-01-01T00:00:00Z2021 Feb2025-04-04T09:09:54.175Z2025-04-04T09:09:54.175ZS-EPMC86952113542340410.1039/d1ra01103k