期刊
JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
卷 32, 期 9, 页码 2436-2450出版社
AMER CHEMICAL SOC
DOI: 10.1021/jasms.1c00140
关键词
simulation; HiKE-IMS; proton-bound water cluster; corona discharge ionization; Monte Carlo; cluster formation; cluster dissociation; hydrated hydronium ions; secondary electrospray ionization; selected ion flow tube
资金
- Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [BE 2124/8-1-ZI 1288/8-1]
Ion mobility spectrometry separates ions based on their motion through a drift tube with an electric field, affected by factors like chemical dynamics and physical parameters. High kinetic energy IMS involves a reduced electric field strength, impacting ion mobility, with numerical simulations playing a key role in understanding and validating experimental observations.
Ions are separated in ion mobility spectrometry (IMS) by their characteristic motion through a gas-filled drift tube with a static electric field present. Chemical dynamics, such as clustering and declustering of chemically reactive systems, and physical parameters, as, for example, the electric field strength or background gas temperature, impact on the observed ion mobility. In high kinetic energy IMS (HiKE-IMS), the reduced electric field strength is up to 120 Td in both the reaction region and drift region of the instrument. The ion generation in a corona discharge driven chemical ionization source leads generally to formation of protonbound water clusters. However, the reduced electric field strength and therefore the effective ion temperature has a significant influence on the chemical equilibria of this reaction system. In order to characterize the effects occurring in IMS systems in general, numerical simulations can support and potentially explain experimental observations. The comparison of the simulation of a well characterized chemical reaction system (i.e., the proton-bound water cluster system) with experimental results allows us to validate the numerical model applied in this work. Numerical simulations of the proton-bound water cluster system were performed with the custom particle-based ion dynamics simulation framework (IDSimF). The ion-transport calculation in the model is based on a Verlet integration of the equations of motion and uses a customized Barnes-Hut method to calculate space charge interactions. The chemical kinetics is modeled stochastically with a Monte Carlo method. The experimental and simulated drift spectra are in good qualitative and quantitative agreement, and experimentally observed individual transitions of cluster ions are clearly reproduced and identified by the numerical model.
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