Literature DB >> 25677154

The strengths and weaknesses of NMR spectroscopy and mass spectrometry with particular focus on metabolomics research.

Abdul-Hamid M Emwas1.   

Abstract

Mass spectrometry (MS) and nuclear magnetic resonance (NMR) have evolved as the most common techniques in metabolomics studies, and each brings its own advantages and limitations. Unlike MS spectrometry, NMR spectroscopy is quantitative and does not require extra steps for sample preparation, such as separation or derivatization. Although the sensitivity of NMR spectroscopy has increased enormously and improvements continue to emerge steadily, this remains a weak point for NMR compared with MS. MS-based metabolomics provides an excellent approach that can offer a combined sensitivity and selectivity platform for metabolomics research. Moreover, different MS approaches such as different ionization techniques and mass analyzer technology can be used in order to increase the number of metabolites that can be detected. In this chapter, the advantages, limitations, strengths, and weaknesses of NMR and MS as tools applicable to metabolomics research are highlighted.

Mesh:

Year:  2015        PMID: 25677154     DOI: 10.1007/978-1-4939-2377-9_13

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  119 in total

1.  1H nuclear magnetic resonance-based plasma metabolomics provides another perspective of response mechanisms of newborn calves upon the first colostrum feeding.

Authors:  Y S Guo; J Z Tao
Journal:  J Anim Sci       Date:  2018-05-04       Impact factor: 3.159

Review 2.  Applications of metabolomics to study cancer metabolism.

Authors:  Akash K Kaushik; Ralph J DeBerardinis
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2018-04-25       Impact factor: 10.680

Review 3.  Recent advances in the metabolomic study of bladder cancer.

Authors:  Chandra Sekhar Amara; Venkatrao Vantaku; Yair Lotan; Nagireddy Putluri
Journal:  Expert Rev Proteomics       Date:  2019-02-26       Impact factor: 3.940

4.  Human Plasma Metabolomics Study across All Stages of Age-Related Macular Degeneration Identifies Potential Lipid Biomarkers.

Authors:  Inês Laíns; Rachel S Kelly; John B Miller; Rufino Silva; Demetrios G Vavvas; Ivana K Kim; Joaquim N Murta; Jessica Lasky-Su; Joan W Miller; Deeba Husain
Journal:  Ophthalmology       Date:  2017-09-12       Impact factor: 12.079

5.  Extraction and determination of the Pimelea toxin simplexin in complex plant-polymer biocomposites using ultrahigh-performance liquid chromatography coupled with quadrupole Orbitrap mass spectrometry.

Authors:  Yue Yuan; Natasha L Hungerford; Emilie Gauthier; Diane Ouwerkerk; Ken W L Yong; Mary T Fletcher; Bronwyn Laycock
Journal:  Anal Bioanal Chem       Date:  2021-06-29       Impact factor: 4.142

Review 6.  Increasing rigor in NMR-based metabolomics through validated and open source tools.

Authors:  Hamid R Eghbalnia; Pedro R Romero; William M Westler; Kumaran Baskaran; Eldon L Ulrich; John L Markley
Journal:  Curr Opin Biotechnol       Date:  2016-09-16       Impact factor: 9.740

7.  Applications of Metabolomics in the Study and Management of Preeclampsia; A Review of the Literature.

Authors:  Rachel S Kelly; Rachel T Giorgio; Bo L Chawes; Natalia I Palacios; Kathryn J Gray; Hoooman Mirzakhani; Ann Wu; Kevin Blighe; Scott T Weiss; Jessica Lasky-Su
Journal:  Metabolomics       Date:  2017-06-12       Impact factor: 4.290

8.  Untargeted metabolomic analysis in non-fasted diabetic dogs by UHPLC-HRMS.

Authors:  A L O'Kell; T J Garrett; C Wasserfall; M A Atkinson
Journal:  Metabolomics       Date:  2019-01-22       Impact factor: 4.290

9.  Metabolomic identification of diagnostic serum-based biomarkers for advanced stage melanoma.

Authors:  A W L Bayci; D A Baker; A E Somerset; O Turkoglu; Z Hothem; R E Callahan; R Mandal; B Han; T Bjorndahl; D Wishart; R Bahado-Singh; S F Graham; R Keidan
Journal:  Metabolomics       Date:  2018-08-03       Impact factor: 4.290

10.  NMR-based metabolomics reveals that plant-derived smoke stimulates root growth via affecting carbohydrate and energy metabolism in maize.

Authors:  Şükrü Serter Çatav; Emine Sonay Elgin; Çağdaş Dağ; Jaime L Stark; Köksal Küçükakyüz
Journal:  Metabolomics       Date:  2018-10-15       Impact factor: 4.290

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