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The Application of Ion Mobility-Mass Spectrometry in Untargeted Metabolomics: from Separation to Identification

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Abstract

Untargeted metabolomics aims to comprehensively profile metabolites as many as possible in biological samples. Recently, ion mobility-mass spectrometry (IM-MS) has emerged as a powerful technology for untargeted metabolomics. The emerging role of IM-MS in untargeted metabolomics enables the separation of metabolite isomers and generation of multidimension data to support the identification of metabolites. In this review, we first introduced the basic principles of IM-MS instruments commonly used for untargeted metabolomics. Then, we demonstrated the application of IM-MS for metabolite separation and identification of both known and unknown metabolites. Finally, we discussed the future developments of IM-MS technology to improve untargeted metabolomics.

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Fig. 2

reproduced from Ref. 22 with permission from the American Chemical Society; c was reproduced from Ref. 47 with permission from the Royal Society of Chemistry)

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reproduced from Ref. 50 with permission from the Royal Society of Chemistry; c was reproduced from Ref. 62 with permission from the American Chemical Society)

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Acknowledgements

The work was supported by National Natural Science Foundation of China (Grant No. 31971356), and Shanghai Municipal Science and Technology Major Project (Grant No. 2019SHZDZX02).

Funding

The work was supported by National Natural Science Foundation of China (Grant No. 31971356), and Shanghai Municipal Science and Technology Major Project (Grant No. 2019SHZDZX02).

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  1. Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 200032, China

    Ming-Du Luo, Zhi-Wei Zhou & Zheng-Jiang Zhu

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Ming-Du Luo & Zhi-Wei Zhou

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Luo, MD., Zhou, ZW. & Zhu, ZJ. The Application of Ion Mobility-Mass Spectrometry in Untargeted Metabolomics: from Separation to Identification. J. Anal. Test. 4, 163–174 (2020). https://doi.org/10.1007/s41664-020-00133-0

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