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Integrating ion mobility and imaging mass spectrometry for comprehensive analysis of biological tissues: A brief review and perspective

期刊

JOURNAL OF MASS SPECTROMETRY
卷 55, 期 12, 页码 -

出版社

WILEY
DOI: 10.1002/jms.4614

关键词

desorption electrospray ionization; DESI; drift tube ion mobility spectrometry; DTIMS; high-field asymmetric waveform ion mobility; FAIMS; IMS; imaging mass spectrometry; ion mobility; infrared matrix-assisted laser desorption electrospray ionization; IR-MALDESI; laser ablation electrospray ionization; LAESI; liquid extraction surface analysis; LESA; lipids; liquid microjunction; (LMJ); matrix-assisted laser desorption electrospray ionization; MALDI; metabolites; proteins; tissue analysis; trapped ion mobility spectrometry; TIMS; travelling wave ion mobility spectrometry; TWIMS

资金

  1. National Institute of Allergy and Infectious Diseases [R01AI138581]
  2. National Institute of Environmental Health Sciences [T32 ES007028]
  3. National Institute of General Medical Sciences [P41 GM1033391]
  4. National Science Foundation Major Research Instrument Program [CBET - 1828299]
  5. National Institute of Diabetes and Digestive and Kidney Diseases [U54DK120058]

向作者/读者索取更多资源

Imaging mass spectrometry (IMS) technologies are capable of mapping a wide array of biomolecules in diverse cellular and tissue environments. IMS has emerged as an essential tool for providing spatially targeted molecular information due to its high sensitivity, wide molecular coverage, and chemical specificity. One of the major challenges for mapping the complex cellular milieu is the presence of many isomers and isobars in these samples. This challenge is traditionally addressed using orthogonal liquid chromatography (LC)-based analysis, though, common approaches such as chromatography and electrophoresis are not able to be performed at timescales that are compatible with most imaging applications. Ion mobility offers rapid, gas-phase separations that are readily integrated with IMS workflows in order to provide additional data dimensionality that can improve signal-to-noise, dynamic range, and specificity. Here, we highlight recent examples of ion mobility coupled to IMS and highlight their importance to the field.

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