Ion mobility-derived collision cross section as an additional measure for lipid fingerprinting and identification.

Published

Journal Article

Despite recent advances in analytical and computational chemistry, lipid identification remains a significant challenge in lipidomics. Ion-mobility spectrometry provides an accurate measure of the molecules' rotationally averaged collision cross-section (CCS) in the gas phase and is thus related to ionic shape. Here, we investigate the use of CCS as a highly specific molecular descriptor for identifying lipids in biological samples. Using traveling wave ion mobility mass spectrometry (MS), we measured the CCS values of over 200 lipids within multiple chemical classes. CCS values derived from ion mobility were not affected by instrument settings or chromatographic conditions, and they were highly reproducible on instruments located in independent laboratories (interlaboratory RSD < 3% for 98% of molecules). CCS values were used as additional molecular descriptors to identify brain lipids using a variety of traditional lipidomic approaches. The addition of CCS improved the reproducibility of analysis in a liquid chromatography-MS workflow and maximized the separation of isobaric species and the signal-to-noise ratio in direct-MS analyses (e.g., "shotgun" lipidomics and MS imaging). These results indicate that adding CCS to databases and lipidomics workflows increases the specificity and selectivity of analysis, thus improving the confidence in lipid identification compared to traditional analytical approaches. The CCS/accurate-mass database described here is made publicly available.

Full Text

Duke Authors

Cited Authors

  • Paglia, G; Angel, P; Williams, JP; Richardson, K; Olivos, HJ; Thompson, JW; Menikarachchi, L; Lai, S; Walsh, C; Moseley, A; Plumb, RS; Grant, DF; Palsson, BO; Langridge, J; Geromanos, S; Astarita, G

Published Date

  • January 20, 2015

Published In

Volume / Issue

  • 87 / 2

Start / End Page

  • 1137 - 1144

PubMed ID

  • 25495617

Pubmed Central ID

  • 25495617

Electronic International Standard Serial Number (EISSN)

  • 1520-6882

Digital Object Identifier (DOI)

  • 10.1021/ac503715v

Language

  • eng

Conference Location

  • United States