2019
DOI: 10.1016/j.trac.2019.05.001
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Recent progress in metabolomics using ion mobility-mass spectrometry

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Cited by 41 publications
(25 citation statements)
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“…It is also important to note that TENGi MS is a DI metabolomics approach, and similar to other DI method, it lacks isobaric resolution. Coupling TENGi to IM-MS 68 would be a promising way to further increasing coverage, and be applied to even broader range of rare sample metabolomics studies.…”
Section: Discussionmentioning
confidence: 99%
“…It is also important to note that TENGi MS is a DI metabolomics approach, and similar to other DI method, it lacks isobaric resolution. Coupling TENGi to IM-MS 68 would be a promising way to further increasing coverage, and be applied to even broader range of rare sample metabolomics studies.…”
Section: Discussionmentioning
confidence: 99%
“…To overcome these issues, researchers have developed bioinformatic tools that use fragmentation rules [26], predict metabolite CID-MS n spectra [27,28], or use deep neuronal networks to assign mass spectrometric features to metabolite groups or specific compounds [21]. Alternatively, CCS values from IMS experiments can be utilized to add an additional descriptor for structure annotation as reviewed by Harris et al as well as Yost and co-workers [29,30]. Another strategy to facilitate compound identification of metabolites and lipids is the development and use of new MS n strategies as detailed in the following.…”
Section: Mass Spectrometric Interrogation Of Metabolite and Lipid Structuresmentioning
confidence: 99%
“…These limitations are related to the resolution of isomers that present similar retention times and m / z ratios [ 47 ]. These limitations seem to have been overcome in recent years thanks to an additional coupling of ion mobility spectrometry (IMS) [ 48 ]. IMS has become the most valuable analytical technique for the analysis of complex mixtures, because it allows the discrimination of species that are neither separated by chromatography nor by MS.…”
Section: Phytochemical Characterization Of Bioactive Compoundsmentioning
confidence: 99%