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Modeling the resolution and sensitivity of FAIMS analyses
Alexandre A Shvartsburg1, Keqi Tang1, Richard D Smith1
1Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.
Journal of the American Society for Mass Spectrometry
|October 7, 2004
Summary
Field asymmetric waveform ion mobility spectrometry (FAIMS) offers fast, sensitive separations. A new computational model explains FAIMS performance, validating experimental results and enabling optimization for diverse applications.
Area of Science:
- Analytical Chemistry
- Physical Chemistry
- Computational Chemistry
Background:
- Field asymmetric waveform ion mobility spectrometry (FAIMS) is a powerful atmospheric pressure separation technique used before mass spectrometry.
- FAIMS offers high speed and sensitivity, surpassing condensed-phase methods.
- Existing understanding of FAIMS performance is largely empirical, lacking a predictive physical model.
Purpose of the Study:
- To develop a first-principles computational model for simulating FAIMS analyzers.
- To rationalize the resolving power and sensitivity of FAIMS based on instrumental variables.
- To provide a tool for optimizing FAIMS performance across various geometries and operational parameters.
Main Methods:
- Simulating ion trajectories within the FAIMS analyzer using a computational treatment.
- Incorporating applied asymmetric potentials, diffusional motion (including high-field and anisotropic effects), and Coulomb repulsion.
- Validating the model through comparison with experimental measurements in different FAIMS modes.
Main Results:
- A validated computational model capable of simulating FAIMS analyzers for diverse geometries and parameters.
- The model accurately predicts both resolution and sensitivity.
- Excellent agreement between computational predictions and experimental data for various ion types.
Conclusions:
- The developed computational treatment provides the first physical model for FAIMS.
- This model enables a deeper understanding and optimization of FAIMS performance.
- The simulation tool has broad applicability for advancing FAIMS technology and applications.