4.6 Article

Structural resolution of carbohydrate positional and structural isomers based on gas-phase ion mobility-mass spectrometry

期刊

PHYSICAL CHEMISTRY CHEMICAL PHYSICS
卷 13, 期 6, 页码 2196-2205

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ROYAL SOC CHEMISTRY
DOI: 10.1039/c0cp01414a

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  1. Vanderbilt University College of Arts and Sciences
  2. Vanderbilt Institute of Chemical Biology
  3. Vanderbilt Institute for Integrative Biosystems Research and Education
  4. National Institutes of Health (National Institute on Drug Abuse) [RC2DA028981, HHSN2712006775-63C]
  5. US Defense Threat Reduction Agency [HDTRA1-09-1-0013]
  6. National Institute of General Medical Sciences [GM62116]
  7. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [U54GM062116] Funding Source: NIH RePORTER
  8. NATIONAL INSTITUTE ON DRUG ABUSE [RC2DA028981] Funding Source: NIH RePORTER

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This report describes the rapid characterization of positional and structural carbohydrate isomers based on structural separations provided by ion mobility-mass spectrometry (IM-MS). Many of the diseases associated with glycoprotein variation can be more effectively treated with earlier detection substantiating the need for high-throughput methodologies for glycan characterization. This remains particularly difficult due to heterogeneity, branching, and large size of carbohydrate moieties which creates the potential for numerous isobaric positional and structural isomers that are difficult to characterize using conventional MS methods. IM-MS provides rapid (mu s to ms) structural separations by IM and subsequent identification by MS which presents a means for characterization of positional and structural carbohydrate isomers. To chart the structural variation observed in IM-MS, the ion-neutral collision cross sections for over 300 carbohydrates are reported. This diversity can also be varied through the utility of using different alkali metals to tune separation selectivity via alkali metal-carbohydrate coordination. Furthermore, the advantages of combining either pre- and/or post-IM fragmentation prior to MS analysis is demonstrated for enhanced confidence in carbohydrate identification.

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