Improved First-Principles Model of Differential Mobility Using Higher Order Two-Temperature Theory

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Alexander Haack
  • Justine R. Bissonnette
  • Christian Ieritano
  • W. Scott Hopkins

External Research Organisations

  • University of Waterloo
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Details

Original languageEnglish
Pages (from-to)535-547
Number of pages13
JournalJournal of the American Society for Mass Spectrometry
Volume33
Issue number3
Early online date31 Jan 2022
Publication statusE-pub ahead of print - 31 Jan 2022
Externally publishedYes

Abstract

Differential mobility spectrometry is a separation technique that may be applied to a variety of analytes ranging from small molecule drugs to peptides and proteins. Although rudimentary theoretical models of differential mobility exist, these models are often only applied to small molecules and atomic ions without considering the effects of dynamic microsolvation. Here, we advance our theoretical description of differential ion mobility in pure N2 and microsolvating environments by incorporating higher order corrections to two-temperature theory (2TT) and a pseudoequilibrium approach to describe ion-neutral interactions. When comparing theoretical predictions to experimentally measured dispersion plots of over 300 different compounds, we find that higher order corrections to 2TT reduce errors by roughly a factor of 2 when compared to first order. Model predictions are accurate especially for pure N2 environments (mean absolute error of 4 V at SV = 4000 V). For strongly clustering environments, accurate thermochemical corrections for ion-solvent clustering are likely required to reliably predict differential ion mobility behavior. Within our model, general trends associated with clustering strength, solvent vapor concentration, and background gas temperature are well reproduced, and fine structure visible in some dispersion plots is captured. These results provide insight into the dynamic ion-solvent clustering process that underpins the phenomenon of differential ion mobility.

Keywords

    collision cross section, density functional theory, differential ion mobility, ion−solvent cluster, two-temperature theory

ASJC Scopus subject areas

Cite this

Improved First-Principles Model of Differential Mobility Using Higher Order Two-Temperature Theory. / Haack, Alexander; Bissonnette, Justine R.; Ieritano, Christian et al.
In: Journal of the American Society for Mass Spectrometry, Vol. 33, No. 3, 31.01.2022, p. 535-547.

Research output: Contribution to journalArticleResearchpeer review

Haack A, Bissonnette JR, Ieritano C, Hopkins WS. Improved First-Principles Model of Differential Mobility Using Higher Order Two-Temperature Theory. Journal of the American Society for Mass Spectrometry. 2022 Jan 31;33(3):535-547. Epub 2022 Jan 31. doi: 10.1021/jasms.1c00354
Haack, Alexander ; Bissonnette, Justine R. ; Ieritano, Christian et al. / Improved First-Principles Model of Differential Mobility Using Higher Order Two-Temperature Theory. In: Journal of the American Society for Mass Spectrometry. 2022 ; Vol. 33, No. 3. pp. 535-547.
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abstract = "Differential mobility spectrometry is a separation technique that may be applied to a variety of analytes ranging from small molecule drugs to peptides and proteins. Although rudimentary theoretical models of differential mobility exist, these models are often only applied to small molecules and atomic ions without considering the effects of dynamic microsolvation. Here, we advance our theoretical description of differential ion mobility in pure N2 and microsolvating environments by incorporating higher order corrections to two-temperature theory (2TT) and a pseudoequilibrium approach to describe ion-neutral interactions. When comparing theoretical predictions to experimentally measured dispersion plots of over 300 different compounds, we find that higher order corrections to 2TT reduce errors by roughly a factor of 2 when compared to first order. Model predictions are accurate especially for pure N2 environments (mean absolute error of 4 V at SV = 4000 V). For strongly clustering environments, accurate thermochemical corrections for ion-solvent clustering are likely required to reliably predict differential ion mobility behavior. Within our model, general trends associated with clustering strength, solvent vapor concentration, and background gas temperature are well reproduced, and fine structure visible in some dispersion plots is captured. These results provide insight into the dynamic ion-solvent clustering process that underpins the phenomenon of differential ion mobility.",
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