Enhanced data-independent analysis of lipids using ion mobility-TOFMSE to unravel quantitative and qualitative information in human plasma
RATIONALE Lipids are involved in various biochemical and signaling pathways, cell structure and function, and the pathophysiology of many diseases. We took advantage of ion mobility spectrometry (IMS) in conjunction with ultra‐performance liquid chromatography (UPLC) and high‐resolution mass spectro...
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Veröffentlicht in: | Rapid communications in mass spectrometry 2013-10, Vol.27 (19), p.2195-2200 |
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Zusammenfassung: | RATIONALE
Lipids are involved in various biochemical and signaling pathways, cell structure and function, and the pathophysiology of many diseases. We took advantage of ion mobility spectrometry (IMS) in conjunction with ultra‐performance liquid chromatography (UPLC) and high‐resolution mass spectrometry to gain quantitative and deeper qualitative structural insight within a single experiment.
METHODS
Human plasma lipid extracts were analyzed using an Acquity UPLC system coupled to a Synapt G2‐HDMS mass spectrometer system. The ion mobility gas employed was helium for the helium cell (150 mL/min) and nitrogen (80 mL/min) for the T‐wave drift tube. The wave height for the T‐wave cell was ramped in a linear fashion between 5–40 V. The mass spectra were acquired in an electrospray positive ionization mode.
RESULTS
We resolved chromatographically co‐eluting lipids further by ion mobility tube drift time and then subjected them to low‐ and high‐energy fragmentation without pre‐selecting respective precursor species. The fragment ions produced in a high‐energy mode were aligned with their precursor ions in a low‐energy mode. By aligning intact molecular spectra and fragment spectra for these lipids at a given ion mobility drift time and chromatographic retention time, we were able to obtain much cleaner fragment ion spectra for structural elucidation. For quantitative analysis we obtained a dynamic linear range from 0.002 to 2 µg/mL with and without an additional dimension of IMS.
CONCLUSIONS
The additional dimension of IMS allowed us to perform quantitative and qualitative analysis within a single experiment in a relatively high‐throughput manner thus providing deeper structural insights into lipids of biological interest and resulting in an information‐rich dataset. Copyright © 2013 John Wiley & Sons, Ltd. |
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ISSN: | 0951-4198 1097-0231 |
DOI: | 10.1002/rcm.6675 |