Abstract
Ion Mobility Mass Spectrometry (IMMS) was evaluated as an analytical method for metabolic profiling. The specific instrument used in these studies was a direct infusion (DI)-electrospray ionization (ESI)—ambient pressure ion mobility spectrometer (APIMS) coupled to a time-of-flight mass spectrometer (TOFMS). The addition of an ion mobility spectrometer to a mass spectrometer had several advantages over direct infusion electrospray mass spectrometry alone. This tandem instrument (ESI-IMMS) added a rapid separation step with high-resolution prior to mass spectrometric analysis of metabolite mixtures without extending sample preparation time or reducing the high through put potential of direct mass spectrometry. Further, IMMS also reduced the baseline noise common with ESI-MS analyses of complex samples and enabled rapid separation of isobaric metabolites. IMMS was used to analyze the metabolome of Escherichia coli (E. coli), containing a collection of extremely diverse chemical compounds including hydrophobic lipids, inorganic ions, volatile alcohols and ketones, amino and non-amino organic acids, and hydrophilic carbohydrates. IMMS data were collected as two-dimensional spectra showing both mobility and mass of each ion detected. Using direct infusion ESI-IMMS of a non-derivatized methanol extract of an E. coli culture, more than 500 features were detected, of which over 200 intracellular metabolites were tentatively assigned as E. coli metabolites. This analytical method also allowed simultaneous separation of isomeric metabolic features.
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Acknowledgments
This project was supported in part by a research grant from Department of Health and Human Service: Public Health Services organization (Road Map Grant No. R21 DK070274). We also wish to express our appreciation to Dr. Al Schultz, Agnes Tempez, and Thomas F. Egan at IonWerks in Houston, TX for their help and discussions throughout this project.
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Dwivedi, P., Wu, P., Klopsch, S.J. et al. Metabolic profiling by ion mobility mass spectrometry (IMMS). Metabolomics 4, 63–80 (2008). https://doi.org/10.1007/s11306-007-0093-z
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DOI: https://doi.org/10.1007/s11306-007-0093-z