In recent years, interest in ion mobility spectrometry (IMS) has grown exponentially as a result of its coupling with mass spectrometry (MS) and the subsequent commercialization of IM-MS platforms. Consequently, the application of this analytical technique is currently beyond the traditional IMS-based methods applied to detect chemical warfare agents, explosives, or drugs in airports or postal facilities. Nowadays, IM-MS is applied to the structural characterization of biomolecules as well as in proteomics, metabolomics, and petroleomics studies, among others.
The integration of IMS into traditional liquid chromatography (LC)-MS workflows provides a third separation dimension. It contributes to the efficient separation of isobars and isomers that co-elute in the chromatographic dimension and cannot be distinguished by MS. In addition, IMS provides complementary analytical information to the retention indexes and mass spectra of compounds, specifically, the so-called collision cross-section (CCS). This new information improves compound identification, significantly impacting non-targeted analytical approaches that are increasingly applied in fields as diverse as exposomics or food analysis. Technological advances in IM-MS platforms are also the main reasons for their increasingly widespread implementation, highlighting the great improvement in terms of resolution in the ion mobility cell.
Therefore, this Methods Collection aims to highlight various methods or techniques pertaining to ion mobility-mass spectrometry and their emerging applications in various fields.
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Cited by 7
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2024
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2024
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Katherine D. Castro1, Lilian Valadares Tose1, Matthew Willetts2, Melvin A. Park2, Marcela Nouzova3, Fernando G. Noriega4,5, Francisco Fernandez-Lima1,6
1Deparment of Chemistry and Biochemistry, Florida International University, 2Bruker Daltonics Inc., 3Institute of Parasitology, Biology Centre CAS, 4Department of Biological Sciences, Florida International University, 5Department of Parasitology, University of South Bohemia, 6Biomolecular Sciences Institute, Florida International University
Development of an LC-IM-MS/MS Workflow for Targeted Detection of Anabolic Steroids
Shon Neal1,
Diana Velosa1,
Christopher Chouinard*1
1Florida Institute of Technology