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Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
Published on: January 20, 2022
Molecular dynamics simulation of ion mobility in gases
Rui Lai1, Eric D Dodds2, Hui Li1
1Department of Chemistry, Nebraska Center for Materials and Nanoscience, and Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln, Nebraska 68588, USA.
A new molecular dynamics method simulates ion drift in gases, enabling accurate calculation of ion mobility and collision cross sections (CCSs). This approach offers advantages over trajectory methods for ion mobility spectrometry applications.
Area of Science:
- Computational Chemistry
- Physical Chemistry
- Analytical Chemistry
Background:
- Ion mobility spectrometry (IMS) is a powerful analytical technique.
- Accurate theoretical prediction of ion mobility and collision cross sections (CCSs) is crucial for IMS.
- Existing methods may not fully capture the complexities of ion-gas interactions.
Purpose of the Study:
- To develop a novel force field molecular dynamics method for simulating ion drift in buffer gases under electric fields.
- To enable direct calculation of ion mobility and CCSs relevant to IMS.
- To assess the accuracy and efficiency of the developed method.
Main Methods:
- A force field molecular dynamics approach was employed to simulate ion drift.
- Simulations were conducted in high-density buffer gases (∼50 bars) and high electric fields (∼107 V/m).
- Element-based Lennard-Jones parameters were used without specific tuning for different molecules.
Main Results:
- The method accurately simulates ion drift, yielding ion mobility and CCS values.
- Simulated CCS values for 15 small molecular ions showed good agreement with experimental data (mean unsigned error of 2.6 Ų for He, 4.4 Ų for N₂).
- The method can achieve ±1%-2% convergence for CCS values within 5-19 hours of simulation time.
Conclusions:
- The developed molecular dynamics method provides a direct and efficient way to simulate ion drift and determine key IMS parameters.
- This approach simultaneously accounts for ion internal dynamics and ion-gas collisions, outperforming trajectory methods.
- The findings support the utility of this method for predicting CCSs and advancing IMS applications.
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