A Novel High-Resolution CDMS Instrument Prototype

Posters | 2026 | Waters | ASMSInstrumentation
LC/MS, LC/MS/MS, LC/HRMS, LC/IT
Industries
Other
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Waters

Summary

Significance of the topic


Charge detection mass spectrometry (CDMS) enables direct mass measurements of highly heterogeneous, high-molecular-weight analytes by independently measuring m/z and charge (z). Improving the m/z resolving power of CDMS traps expands the technique's capability to resolve fine structural features (e.g., partially resolved isotopes or subpopulations in glycoproteins), increases usable ion capacity at a given resolution and can raise throughput for demanding biological and biopharmaceutical analyses.

Objectives and study overview


The study describes the design, construction and experimental characterization of two high-resolution (HR) CDMS trap prototypes developed for the Waters Xevo CDMS platform: a 3-electrode trap (theoretically ~30,000 m/z resolution) and a 4-electrode trap (theoretically ~190,000). Goals were to identify trap geometries that minimize dependence of axial oscillation frequency on ion energy, to realize high experimental m/z resolution (FWHM), to assess ion stability over multi-second trapping times, and to validate practicality with protein standards.

Methodology


Trap design and optimization:
  • Electric fields were computed in SIMION 2020; a GPU-based trajectory solver (NVIDIA GV100 tested) simulated ion dynamics and allowed rapid evaluation (>15,000 100 ms trajectories in ≈8 min).
  • Optimization inputs included a representative input phase-space distribution, target duty cycle (≈50%), m/z resolution, trapping stability and robustness to mechanical offsets/tilts and voltage imperfections.
  • Design emphasis was placed on geometries that minimize frequency dependence on axial ion energy near the instrument's nominal energy (130 eV/z).

Experimental workflow:
  • Prototype detector tubes (~75 mm long, ~50% longer than the earlier prototype) and shield electrodes were fabricated for 3- and 4-electrode configurations with tunable voltages (V1, V2, V3…).
  • Ions were generated by nanoelectrospray (positive mode) from protein standards buffer-exchanged into 200 mM ammonium acetate; pulled glass emitters with ~5 µm tips were used.
  • Ions were cooled, accelerated to ~130 eV/z through a segmented quadrupole and focusing optics; front trap electrode pulsing admitted ion ensembles into the trap.
  • Ions oscillated axially (typical trapping durations 100–2000 ms; central detector tube occupancy about 50% of trapping time). The induced charge was measured with a charge-sensitive amplifier and digitized.
  • Transient signals were analyzed by overlapping fast Fourier transforms to extract oscillation frequency (m/z), signal amplitude (charge), and ion survival time.

Used instrumentation


  • Waters Xevo CDMS prototype instrument platform (trap modules adapted into prototype chassis).
  • SIMION 2020 for static field calculations.
  • Custom GPU-based particle trajectory solver running on an NVIDIA GV100-class GPU (CUDA acceleration).
  • Nanoelectrospray ionization source using pulled glass emitters (≈5 µm tip).
  • Charge-sensitive amplifier and high-rate digitizer for transient capture and FFT processing.

Main results and discussion


Experimental performance:
  • The measured m/z FWHM resolutions were >11,000 for the 3-electrode HR trap and >14,000 for the 4-electrode HR trap, demonstrated using ubiquitin, melittin and myoglobin standards.
  • Ubiquitin spectra show partial isotope resolution at ~11,000 (3-electrode) and improved isotope definition at ~14,000 (4-electrode), consistent with simulated traces at those resolutions.
  • Myoglobin data (4-electrode) combining charge states z = 14+ to 21+ yielded a mass histogram peak width consistent with ≥14,000 m/z resolution.
  • Ion stability in the 4-electrode trap was excellent: for β‑galactosidase ions, ~80% survived to 2 s and >70% survived the full 5 s trapping interval (relative to 100 ms reference), indicating high duty-cycle potential for long-duration measurements.

Factors limiting measured vs simulated resolution:
  • Axial energy spread resulting from the initial phase-space distribution of incoming ions.
  • Collisions with residual gas causing ion energy loss and frequency shifts.
  • Ion-ion interactions within the trap when multiple ions are present, causing energy exchange and frequency perturbations.

The observed experimental resolutions are substantially lower than the theoretical maxima derived from idealized simulations (30,000 and 190,000). The authors note ongoing work to identify and mitigate factors (mechanical/voltage tolerances, real phase-space distributions, residual gas effects) that reduce practical resolution and to quantify trap ion capacities across analyte classes.

Benefits and practical applications


The prototype HR traps demonstrate that CDMS can be extended to substantially higher m/z resolving power than earlier prototypes, enabling:
  • Improved isotope and subpopulation resolution for intermediate-to-high-mass proteins and glycoproteins.
  • Higher effective ion capacity at target resolutions, improving throughput for heterogeneous biopolymers.
  • Long trapping times with high survival rates, beneficial for precision charge determination and improved signal averaging.

These capabilities are directly applicable to complex biopharmaceutical characterization, structural proteomics of large assemblies, and quality control tasks where direct mass measurements of heterogeneous ensembles are required.

Future trends and opportunities


Planned and recommended developments include:
  • Systematic investigation of experimentally limiting factors to close the gap to theoretical trap performance (e.g., improved ion optics for narrower phase-space injection, better vacuum to reduce collisions, refined electrode manufacturing and voltage control).
  • Extension to more complex analytes (glycoproteins, large protein complexes and virus-like particles) to demonstrate real-world benefits.
  • Quantification of ion capacity versus resolution across analyte classes to optimize throughput-accuracy trade-offs for routine workflows.
  • Further integration of advanced simulation tools and machine learning to guide trap voltage settings and compensate for manufacturing tolerances.

Conclusion


Two novel HR CDMS trap geometries (3- and 4-electrode) were designed, simulated and implemented in prototype Xevo CDMS instruments. Experimental testing with protein standards achieved m/z FWHM resolutions exceeding 11,000 (3-electrode) and 14,000 (4-electrode), together with multi-second ion trapping stability (>70% survival at 5 s). While measured performance remains below idealized simulated limits, the prototypes represent a clear step toward high-resolution CDMS applicability for complex, heterogeneous biomolecular analyses. Ongoing work will focus on identifying limiting mechanisms and expanding validation to more complex analytes.

References


  1. Ujma J., et al., MOC am, ASMS 2025.
  2. Reitenbach D., Botamanenko D., Miller L., Jarrold M., Analytical Chemistry, 2024, 96, 14060–14067.
  3. Langridge D., Richardson K., Brown J., Giles K., MP 394, ASMS 2023.
  4. Langridge D., Giles K., Richardson K., WP 341, ASMS 2025.
  5. SIMION 2020, Scientific Instrument Services, Inc.

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