Precursor and Product Ion Mobility and Collision Cross Section Determination by Travelling Wave Cyclic Ion Mobility – Mass Spectrometry

Posters | 2026 | Waters | ASMSInstrumentation
LC/MS, LC/MS/MS, Ion Mobility, LC/TOF, LC/HRMS
Industries
Food & Agriculture, Pharma & Biopharma, Environmental
Manufacturer
Waters

Importance of the topic



Ion mobility–mass spectrometry (IM-MS) provides an orthogonal separation dimension that is highly valuable for structural characterization of small molecules and isomers in pharmaceutical, environmental, natural product and toxicology applications. Travelling-wave cyclic ion mobility (cIM) extends separation pathlength and resolution, enabling measurement of collision cross section (CCS) for both precursor and product ions. Combining CCS measurements with chromatographic retention, high-resolution mass-to-charge (m/z) and in-silico fragmentation enhances confidence in compound identification where conventional MS/MS alone cannot resolve positional or structural isomers.

Objectives and overview of the study



The study evaluated the capabilities of a travelling-wave cyclic ion mobility–mass spectrometry platform for:
  • Measuring CCS of intact precursor ions and of product (fragment) ions.
  • Resolving and discriminating isomeric compounds (e.g., linear vs branched PFOS isomers; flavonoid positional isomers).
  • Developing workflows for processing and reviewing multidimensional datasets that combine m/z, retention time, CCS and intensity.
  • Demonstrating integration with in-silico fragmentation prediction to annotate product ions and generate CCS fingerprints for small molecules relevant to pharmaceuticals and environmental analysis.


Methodology



Samples and applications investigated:
  • Natural-product flavonoid isomers (isoorientin, isovitexin, orientin, vitexin).
  • System suitability mixture including common MS standards (acetaminophen, caffeine, sulfaguanidine, sulfadimethoxine, Val-Tyr-Val, verapamil, reserpine, terfenadine, Leu-enkephalin).
  • Pharmaceutical compounds (betaxolol, ciprofloxacin).
  • Per- and polyfluoroalkyl substances (PFAS) including PFOS isomers.

Chromatography and ionization:
  • UPLC: ACQUITY UPLC BEH C18 column (100 mm × 2.1 mm, 1.8 μm), 35 °C, 0.3 mL/min, 10 μL injection.
  • Mobile phases: A = 95% H2O/5% MeOH with 2 mM ammonium acetate; B = MeOH with 2 mM ammonium acetate. Gradient durations: 22 min for PFOS isomers, 5 min for standards.
  • Electrospray ionization performed in positive and negative modes; typical capillary voltages 0.3–0.5 kV; source temp ~100 °C; desolvation temp 550 °C and gas flow ~1000 L/hr.

Mass spectrometry and acquisition:
  • Travelling-wave cyclic ion mobility–MS platform (SELECT SERIES Cyclic IMS) configured to obtain extended ion mobility separations including product ion mobility measurements.
  • Acquisition strategies included HDMSE (ion-mobility-enabled data-independent acquisition) and HDMS (IM-MS) with and without quadrupole isolation.

Data processing and in-silico annotation:
  • Data acquisition and review: MassLynx and DriftScope.
  • Peak detection and initial processing: ApexRT (peak detection), CompareCSV (multicolumn matching with tolerances).
  • In-silico fragmentation and spectrum prediction: CFM-ID v2.4.
  • Custom lightweight tools for visualization, CCS calculation and review built with Python libraries (Streamlit, plotly, pandas, numpy, matplotlib).
  • Workflow steps: multidimensional peak detection/centroiding, CCS calibration, matching experimental precursor and fragment m/z and CCS to in-silico predictions, and generation of CCS-annotated identifications.


Used instrumentation



  • SELECT SERIES Cyclic IMS (travelling-wave cyclic ion mobility platform).
  • ACQUITY UPLC system with BEH C18 column (100 × 2.1 mm, 1.8 μm).
  • MassLynx and DriftScope software for acquisition and drift analysis.
  • Auxiliary software tools: ApexRT, CompareCSV, CFM-ID v2.4; Python stack (Streamlit, plotly, pandas, numpy, matplotlib) for visualization and CCS calculations.


Main results and discussion



Key findings:
  • Precursor and product-ion CCS values provided diagnostic information that discriminated linear versus branched PFOS isomers; separation of m/z 379 product ions showed distinct drift-time profiles for linear PFOS and a branched isomer (P5MPHpS).
  • Drift time and measured CCS differentiated isomeric flavonoid precursors and their product ions (e.g., orientin/isoorientin and vitexin/isovitexin), enabling structural assignment not possible by MS/MS alone.
  • Small-molecule product ions produced reproducible and specific CCS fingerprints; combining experimentally measured CCS for products with in-silico fragmentation predictions improved annotation confidence for pharmaceutical-relevant compounds.
  • Workflow examples demonstrated sequential processing steps: peak detection, CCS calibration, centroiding, matching experimental features to predicted fragment m/z and CCS, and annotation of precursor/product pairs. A summary table of precursor and product m/z and CCS values was generated for environmental, natural product and pharmaceutical compounds.
  • Lightweight application development accelerated data review and allowed rapid interrogation of multidimensional results (m/z, retention time, CCS, intensity).


Benefits and practical applications



Practical advantages demonstrated:
  • Enhanced isomer resolution for environmental monitoring (PFAS) and natural products, improving identification where m/z and MS/MS are ambiguous.
  • Product-ion CCS measurements add a new identification parameter for spectral libraries and retrospective data mining.
  • Combined CCS + in-silico fragmentation increases specificity for metabolite and impurity ID in pharmaceutical and toxicology studies.
  • Workflow and software integration show feasibility for routine implementation in labs seeking multidimensional confirmation (RT, m/z, CCS, fragmentation).


Future trends and potential uses



Projected developments and opportunities:
  • Expansion of CCS libraries to include product-ion CCS values alongside precursor CCS to support broader library searching and automated annotation.
  • Deeper integration of in-silico fragmentation tools and machine-learning models to predict CCS and fragment likelihood, enabling higher-throughput annotation.
  • Standardization of CCS measurement protocols to improve inter-laboratory comparability and facilitate regulatory acceptance.
  • Application to complex omics workflows (metabolomics, lipidomics), forensic and environmental screening where isomer differentiation is critical.
  • Optimization of acquisition strategies (DIA coupled to IM) and faster automated workflows for routine screening and QA/QC use cases.


Conclusion



The travelling-wave cyclic ion mobility–mass spectrometry approach enables high-resolution ion mobility separations and robust CCS measurement for both precursor and product ions. When combined with chromatographic separation, high-resolution MS, in-silico fragmentation and lightweight data-review tools, this multidimensional strategy substantially improves discrimination and annotation of isomeric small molecules across environmental, natural product and pharmaceutical applications. The added dimension of product-ion CCS fingerprints offers a practical pathway to more confident identifications and richer spectral libraries.

Reference



  1. Giles, K., et al. A Cyclic Ion Mobility–Mass Spectrometry System. Analytical Chemistry. 2019;91(13):8564–8573.
  2. Techniques for sample analysis using product ion collision-cross section information. US Patent US12332210B2.
  3. Allen, F., et al. CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra. Nucleic Acids Research. 2014;42(Web Server Issue):W94–W99.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

Downloadable PDF for viewing
 

Similar PDF

A Routine Separation Approach to Enhance Specificity and Identification in Authentication Profiling of Natural Food Products Using UPLC-IM-MS
Using the Routine Separation Dimension and Identification Criteria of ionKey/MS Ion Mobility to Enhance Specificity in Screening Complex Samples
APPLICATION NOTEBOOK - STRUCTURAL ELUCIDATION
Enhancing Analysis Specificity and Deconvolution of Natural Products Using a Positive Mode, Ion Mobility Mass Spectrometry Library