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

doi:10.1039/d1ra01103k

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

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24 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 language	English (US)
Pages (from-to)	8694-8700
Number of pages	7
Journal	RSC Advances
Volume	11
Issue number	15
DOIs	https://doi.org/10.1039/d1ra01103k
State	Published - Feb 25 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-02-26
Acknowledgements: The 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).

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title = "NMR-based metabolomics with enhanced sensitivity",

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.",

author = "Kousik Chandra and Samah Al-Harthi and Sujeesh Sukumaran and Almulhim, {Fatimah F.} and Emwas, {Abdul-Hamid M.} and Atreya, {Hanudatta S.} and Lukasz Jaremko and Mariusz Jaremko",

note = "KAUST Repository Item: Exported on 2021-02-26 Acknowledgements: The 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).",

year = "2021",

month = feb,

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doi = "10.1039/d1ra01103k",

language = "English (US)",

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pages = "8694--8700",

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AU - Chandra, Kousik

AU - Al-Harthi, Samah

AU - Sukumaran, Sujeesh

AU - Almulhim, Fatimah F.

AU - Emwas, Abdul-Hamid M.

AU - Atreya, Hanudatta S.

AU - Jaremko, Lukasz

AU - Jaremko, Mariusz

N1 - KAUST Repository Item: Exported on 2021-02-26 Acknowledgements: The 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).

PY - 2021/2/25

Y1 - 2021/2/25

N2 - 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.

AB - 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.

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VL - 11

SP - 8694

EP - 8700

JO - RSC Advances

JF - RSC Advances

IS - 15

ER -

NMR-based metabolomics with enhanced sensitivity

Abstract

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