Ion mobility-derived collision cross section as an additional measure for lipid fingerprinting and identification.
Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Authors
Paglia, GiuseppeAngel, Peggi
Williams, Jonathan P
Richardson, Keith
Olivos, Hernando J
Thompson, J Will
Menikarachchi, Lochana
Lai, Steven
Walsh, Callee
Moseley, Arthur
Plumb, Robert S
Grant, David F
Palsson, Bernhard O
Langridge, James
Geromanos, Scott
Astarita, Giuseppe
Issue Date
2015-01-20
Metadata
Show full item recordCitation
Anal. Chem. 2015, 87 (2):1137-44Abstract
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.Description
To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked Files. This article is open access.Additional Links
http://dx.doi.org/10.1021/ac503715vhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4302848/
http://pubs.acs.org/doi/pdf/10.1021/ac503715v
Rights
openAccessae974a485f413a2113503eed53cd6c53
10.1021/ac503715v
Scopus Count
Collections
Related articles
- Applications of ion-mobility mass spectrometry for lipid analysis.
- Authors: Paglia G, Kliman M, Claude E, Geromanos S, Astarita G
- Issue date: 2015 Jul
- High Confidence Shotgun Lipidomics Using Structurally Selective Ion Mobility-Mass Spectrometry.
- Authors: Rose BS, Leaptrot KL, Harris RA, Sherrod SD, May JC, McLean JA
- Issue date: 2021
- Metabolomics and lipidomics using traveling-wave ion mobility mass spectrometry.
- Authors: Paglia G, Astarita G
- Issue date: 2017 Apr
- Optimization of a liquid chromatography-ion mobility-high resolution mass spectrometry platform for untargeted lipidomics and application to HepaRG cell extracts.
- Authors: da Silva KM, Iturrospe E, Heyrman J, Koelmel JP, Cuykx M, Vanhaecke T, Covaci A, van Nuijs ALN
- Issue date: 2021 Dec 1
- Ion mobility derived collision cross sections to support metabolomics applications.
- Authors: Paglia G, Williams JP, Menikarachchi L, Thompson JW, Tyldesley-Worster R, Halldórsson S, Rolfsson O, Moseley A, Grant D, Langridge J, Palsson BO, Astarita G
- Issue date: 2014 Apr 15