Multi-Pass Arrival Time Correction in Cyclic Ion Mobility Mass Spectrometry for Imaging and Shotgun Lipidomics
Issued Date
2024-01-01
Resource Type
eISSN
2694250X
Scopus ID
2-s2.0-85213468279
Journal Title
ACS Measurement Science Au
Rights Holder(s)
SCOPUS
Bibliographic Citation
ACS Measurement Science Au (2024)
Suggested Citation
Wisanpitayakorn P., Jariyasopit N., Duangkumpha K., Goh J.X., Palmer M.E., Sirivatanauksorn Y., Khoomrung S. Multi-Pass Arrival Time Correction in Cyclic Ion Mobility Mass Spectrometry for Imaging and Shotgun Lipidomics. ACS Measurement Science Au (2024). doi:10.1021/acsmeasuresciau.4c00077 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/102632
Title
Multi-Pass Arrival Time Correction in Cyclic Ion Mobility Mass Spectrometry for Imaging and Shotgun Lipidomics
Corresponding Author(s)
Other Contributor(s)
Abstract
Direct-infusion mass spectrometry (DI-MS) and mass spectrometry imaging (MSI) are powerful techniques for lipidomics research. However, annotating isomeric and isobaric lipids with these methods is challenging due to the absence of chromatographic separation. Recently, cyclic ion mobility mass spectrometry (cIM-MS) has been proposed to overcome this limitation. However, fluctuations in room conditions can affect ion mobility multipass arrival times, potentially reducing annotation confidence. In this study, we developed a multipass arrival time correction method that proved effective across various dates, room temperatures, ion mobility settings, and laboratories using mixtures of reference standards. We observed slight variations in the linear correction lines between lipid and nonlipid molecules, underscoring the importance of choosing appropriate reference molecules. Based on these results, we demonstrated that an accurate multipass arrival time database can be constructed from corrected t0 and tp for interlaboratory use and can effectively identify isomeric lipids in MSI using only a single measurement. This approach significantly simplifies the identification process compared to determining multipass collision cross-section, which requires multiple measurements that are both sample- and time-intensive for MSI. Additionally, we validated our multipass drift time correction method in shotgun lipidomics analyses of human and mouse serum samples and observed no matrix effect for the analysis. Despite variations in dates, room temperatures, instruments, and ion mobility settings, our approach reduced the mean drift time differences from over 2% to below 0.2%.