Department of Physical and Theoretical Chemistry, University of Wuppertal, Gauss Str. 20, 42119, Wuppertal, Germany.
Department of Chemistry, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, N2L 3G1, Canada.
J Am Soc Mass Spectrom. 2019 Dec;30(12):2711-2725. doi: 10.1007/s13361-019-02340-1. Epub 2019 Nov 21.
The use of differential mobility spectrometry (DMS) as a separation tool prior to mass analysis has increased in popularity over the years. However, the fundamental principles behind the difference between high- and low-field mobility is still a matter of debate-especially regarding the strong impact of solvent molecules added to the gas phase in chemically modified DMS environments. In this contribution, we aim to present a thorough model for the determination of the ion mobility over a wide range of field strengths and subsequent calculation of DMS dispersion plots. Our model relies on first principle calculations only, incorporating the modeling of the "hard-sphere" mobility, the change in CCS with field strength, and the degree of clustering of solvent molecules to the ion. We show that all three factors have to be taken into account to qualitatively predict dispersion plots. In particular, type A behavior (i.e., strong clustering) in DMS can only be explained by a significant change of the mean cluster size with field strengths. The fact that our model correctly predicts trends between differently strong binding solvents, as well as the solvent concentration and the background gas temperature, highlights the importance of clustering for differential mobility.
多年来,差分迁移谱(DMS)作为质量分析前的分离工具的使用越来越普及。然而,高场和低场迁移率之间差异的基本原理仍然存在争议——特别是在化学修饰的 DMS 环境中添加到气相中的溶剂分子的强烈影响。在本研究中,我们旨在提出一种广泛的场强范围内确定离子迁移率并随后计算 DMS 分散图的彻底模型。我们的模型仅依赖于第一性原理计算,包括对“硬球”迁移率的建模、CCS 随场强的变化以及溶剂分子对离子的聚类程度的建模。我们表明,所有三个因素都必须考虑在内,才能定性地预测分散图。特别是,DMS 中的 A 型行为(即强聚类)只能通过平均簇大小随场强的显著变化来解释。我们的模型正确预测了不同结合强度的溶剂之间、溶剂浓度和背景气体温度之间的趋势,这突出了聚类对差分迁移率的重要性。