Evaluating Dynamic Range of High Resolution Demultiplexing of Drift Tube Ion Mobility - Mass Spectrometry Analysis
Posters | 2021 | Agilent Technologies | ASMSInstrumentation
Ion mobility mass spectrometry combines gas phase separation based on collision cross section with accurate mass analysis to provide complementary information on molecular size and structure. Improved resolving power and dynamic range are crucial for distinguishing isomeric species in complex mixtures. Such enhancements advance targeted and untargeted analyses in fields ranging from lipidomics to pharmaceutical quality control.
This work evaluates dynamic range gains achieved by applying high resolution demultiplexing to drift tube ion mobility data. Three isomeric pairs of hydroxyeicosatetraenoic and epoxyeicosatrienoic acids with CCS separations of 1.7, 2.7 and 3.2 percent were analyzed across relative concentrations from equimolar to 1:200 dilution. The performance of standard resolution mode (resolving power 55) was compared to high resolution demultiplexing (HRdm, resolving power over 200).
Ongoing algorithmic refinements in demultiplexing and regularization are expected to further boost resolving power and dynamic range. Integration with ultra high performance chromatography and capillary electrophoresis could expand coverage in metabolomics and lipidomics. Implementation of real time processing and machine learning based acquisition may enable adaptive resolution optimization for targeted analytes.
High resolution demultiplexing significantly enhances isomer separation, dynamic range and CCS precision in drift tube ion mobility mass spectrometry without compromising throughput. These advances support more comprehensive and quantitative analyses across biomolecular research environmental monitoring and industrial quality control.
Ion Mobility, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS
IndustriesOther
ManufacturerAgilent Technologies
Summary
Significance of the Topic
Ion mobility mass spectrometry combines gas phase separation based on collision cross section with accurate mass analysis to provide complementary information on molecular size and structure. Improved resolving power and dynamic range are crucial for distinguishing isomeric species in complex mixtures. Such enhancements advance targeted and untargeted analyses in fields ranging from lipidomics to pharmaceutical quality control.
Objectives and Study Overview
This work evaluates dynamic range gains achieved by applying high resolution demultiplexing to drift tube ion mobility data. Three isomeric pairs of hydroxyeicosatetraenoic and epoxyeicosatrienoic acids with CCS separations of 1.7, 2.7 and 3.2 percent were analyzed across relative concentrations from equimolar to 1:200 dilution. The performance of standard resolution mode (resolving power 55) was compared to high resolution demultiplexing (HRdm, resolving power over 200).
Methodology and Instrumentation
- Sample Preparation: Equimolar mixtures of isomer pairs were serially diluted in LC MS grade methanol to establish dynamic range limits.
- Liquid Chromatography: Agilent 1290 Infinity II UHPLC performed flow injection at 0.2 mL per minute using a mobile phase of 70 percent methanol in water.
- Ion Mobility MS: Agilent 6560B IM QTOF operated in positive ion mode over a 60 millisecond drift time window, summing 20 IM MS frames per 1.2 second scan.
- Data Processing: Raw data were interpolated with PNNL PreProcessor drift bin interpolation, demultiplexed with HRdm 2.1.4, feature detected in IM MS Browser and CCS calibrated using single field tune mix infusion.
Major Results and Discussion
- Resolution Modeling: Simulations demonstrated that HRdm resolving power near 200 achieves complete valley separation for all isomer spacings, even at low relative abundance, whereas standard resolution mode showed limited separation.
- Analytical Measurements: Standard mode separated 2.7 percent spaced isomers to 1:8 dilution and 3.2 percent spaced pairs to 1:25. HRdm extended detection limits to 1:16 for 1.7 percent spacing, 1:100 for 2.7 percent and 1:200 for 3.2 percent.
- Resolving Power Dependence: HRdm resolving power decreased from approximately 200 to 100 at lowest signal levels, indicating dependence on available ion signal, while standard mode remained constant near 55.
- CCS Precision: Maximum CCS shifts remained below one percent across the full dilution series, confirming high precision CCS assignments with HRdm even at low analyte abundance.
Benefits and Practical Applications
- Extended Dynamic Range: Enables quantitative detection of low abundance isomeric species in complex matrices.
- Compatibility with Untargeted Workflows: Maintains full mobility range and acquisition rate for high throughput analyses without sacrificing resolution.
- Single Run Multiplexing: Provides both standard and high resolution data from the same acquisition, facilitating flexible data mining.
Future Trends and Opportunities
Ongoing algorithmic refinements in demultiplexing and regularization are expected to further boost resolving power and dynamic range. Integration with ultra high performance chromatography and capillary electrophoresis could expand coverage in metabolomics and lipidomics. Implementation of real time processing and machine learning based acquisition may enable adaptive resolution optimization for targeted analytes.
Conclusion
High resolution demultiplexing significantly enhances isomer separation, dynamic range and CCS precision in drift tube ion mobility mass spectrometry without compromising throughput. These advances support more comprehensive and quantitative analyses across biomolecular research environmental monitoring and industrial quality control.
References
- J C May et al Anal Chem 2020 92(14) 9482 9492
- Bilbao et al Journal of Proteome Research 2021
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
HRdm 2.0: Maximize Your IM Resolution Without Sacrificing Drift Range, Mass Range, or Data Acquisition Time
2022|Agilent Technologies|Technical notes
Technical Overview HRdm 2.0: Maximize Your IM Resolution Without Sacrificing Drift Range, Mass Range, or Data Acquisition Time Authors Julia W Wight, PhD, Sarah Stow, PhD, and John Fjeldsted, PhD Agilent Technologies, Inc. Santa Clara, CA, USA Richard Knochenmuss, PhD…
Key words
drift, driftpseudo, pseudomultiplexed, multiplexedrandom, randomdemultiplexing, demultiplexingmobility, mobilitydeconvolution, deconvolutionpulses, pulsesions, ionssequence, sequencepulsing, pulsingframe, frametube, tubeeight, eightpulse
Agilent 6560 Ion Mobility LC/Q-TOF
2023|Agilent Technologies|Brochures and specifications
Add a New Dimension to Your Research Agilent 6560 Ion Mobility LC/Q-TOF Reveal More Details Than Ever Before Does your research involve characterizing small molecules or proteins, increasing metabolite coverage maps, or ensuring food safety? The Agilent 6560 Ion Mobility…
Key words
collision, collisionccs, ccsvoltage, voltagedrift, driftregion, regionisomers, isomersciu, ciustructural, structuralcharge, chargeextracted, extracteddtims, dtimsmobility, mobilityion, ionglycomics, glycomicsmass
Exploring Ion Mobility Data File Conversions to Leverage Existing Tools and Enable New Workflows
2024|Agilent Technologies|Posters
Poster Reprint ASMS 2024 Poster number MP 461 Exploring Ion Mobility Data File Conversions to Leverage Existing Tools and Enable New Workflows Sarah M. Stow1; Hannah Florance1; David A. Weil1; Bryson Gibbons2; Aivett Bilbao2; Richard Knochenmuss3; Ruwan T. Kurulugama1; John…
Key words
dda, ddapreprocessor, preprocessorpnnl, pnnlhrdm, hrdmdemultiplexing, demultiplexingions, ionsconversion, conversionworkflow, workflowdata, dataall, alllipid, lipidfragmentation, fragmentationtgs, tgsinterpolation, interpolationmobility
Comparison of Drift-tube Ion Mobility and Structures for Lossless Ion Manipulation(SLIM) for the Characterization of Polysorbate, Polyethers, Surfactants Compounds
2022|Agilent Technologies|Posters
Poster Reprint ASMS 2022 Poster number TP286 Comparison of Drift-tube Ion Mobility and Structures for Lossless Ion Manipulation(SLIM) for the Characterization of Polysorbate, Polyethers, Surfactants Compounds David A. Weil1, Daniel DeBord2, and Sarah Stow1 1 Agilent Technologies, Santa Clara, CA…
Key words
peg, pegoligomeric, oligomericmobility, mobilitydrift, driftmobie, mobiehrim, hrimion, iontube, tubeexcipients, excipientsether, etherlossless, losslessmass, massisomeric, isomericslim, slimpoly