Evidence map›Paper›PMID 31755046›Full record

ArticleJournal of the American Society for Mass Spectrometry2019

A First Principle Model of Differential Ion Mobility: the Effect of Ion-Solvent Clustering.

Alexander Haack, Jeff Crouse, Femke-Jutta Schlüter, Thorsten Benter, W Scott Hopkins

Abstract read
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In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alexander HaackDepartment of Physical and Theoretical Chemistry, University of Wuppertal, Gauss Str. 20, 42119, Wuppertal, Germany.
Jeff CrouseDepartment of Chemistry, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, N2L 3G1, Canada.
Femke-Jutta SchlüterDepartment of Physical and Theoretical Chemistry, University of Wuppertal, Gauss Str. 20, 42119, Wuppertal, Germany.
Thorsten BenterDepartment of Physical and Theoretical Chemistry, University of Wuppertal, Gauss Str. 20, 42119, Wuppertal, Germany. tbenter@uni-wuppertal.de.
W Scott HopkinsDepartment of Chemistry, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, N2L 3G1, Canada. shopkins@uwaterloo.ca.ORCID http://orcid.org/0000-0003-1617-9220

Funding

Natural Sciences and Engineering Research Council of Canada Discovery Grant
6 · The paper itself

Abstract

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.

Indexed as

Collision cross sectionDispersion plotDMSIon mobilityPopulation distribution

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.