Beyond the paradigm: Combining mass spectrometry and nuclear magnetic resonance for metabolomics

被引:182
作者
Marshall, Darrell D. [1 ]
Powers, Robert [1 ]
机构
[1] Univ Nebraska, Dept Chem, 722 Hamilton Hall, Lincoln, NE 68588 USA
关键词
ISOTOPE-RESOLVED METABOLOMICS; LC-NMR-MS; NATURAL-PRODUCTS; LIQUID-CHROMATOGRAPHY; BIG DATA; GC-MS; QUANTITATIVE-ANALYSIS; BIOMARKER DISCOVERY; GAS-CHROMATOGRAPHY; LUNG-CANCER;
D O I
10.1016/j.pnmrs.2017.01.001
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Metabolomics is undergoing tremendous growth and is being employed to solve a diversity of biological problems from environmental issues to the identification of biomarkers for human diseases. Nuclear magnetic resonance (NMR) and mass spectrometry (MS) are the analytical tools that are routinely, but separately, used to obtain metabolomics data sets due to their versatility, accessibility, and unique strengths. NMR requires minimal sample handling without the need for chromatography, is easily quantitative, and provides multiple means of metabolite identification, but is limited to detecting the most abundant metabolites (>= 1 mu M). Conversely, mass spectrometry has the ability to measure metabolites at very low concentrations (femtomolar to attomolar) and has a higher resolution (similar to 10(3)-10(4)) and dynamic range (similar to 10(3)-10(4)), but quantitation is a challenge and sample complexity may limit metabolite detection because of ion suppression. Consequently, liquid chromatography (LC) or gas chromatography (GC) is commonly employed in conjunction with MS, but this may lead to other sources of error. As a result, NMR and mass spectrometry are highly complementary, and combining the two techniques is likely to improve the overall quality of a study and enhance the coverage of the metabolome. While the majority of metabolomic studies use a single analytical source, there is a growing appreciation of the inherent value of combining NMR and MS for metabolomics. An overview of the current state of utilizing both NMR and MS for metabolomics will be presented. (C) 2017 Elsevier B. V. All rights reserved.
引用
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页码:1 / 16
页数:16
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