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Numerical Simulation of Ion Transport in a Nano-Electrospray Ion Source at Atmospheric Pressure

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, January 2018
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Title
Numerical Simulation of Ion Transport in a Nano-Electrospray Ion Source at Atmospheric Pressure
Published in
Journal of the American Society for Mass Spectrometry, January 2018
DOI 10.1007/s13361-017-1863-0
Pubmed ID
Authors

Wei Wang, Steve Bajic, Benzi John, David R. Emerson

Abstract

Understanding ion transport properties from the ion source to the mass spectrometer (MS) is essential for optimizing device performance. Numerical simulation helps in understanding of ion transport properties and, furthermore, facilitates instrument design. In contrast to previously reported numerical studies, ion transport simulations in a continuous injection mode whilst considering realistic space-charge effects have been carried out. The flow field was solved using Reynolds-averaged Navier-Stokes (RANS) equations, and a particle-in-cell (PIC) method was applied to solve a time-dependent electric field with local charge density. A series of ion transport simulations were carried out at different cone gas flow rates, ion source currents, and capillary voltages. A force evaluation analysis reveals that the electric force, the drag force, and the Brownian force are the three dominant forces acting on the ions. Both the experimental and simulation results indicate that cone gas flow rates of ≤250 slph (standard liter per hour) are important for high ion transmission efficiency, as higher cone gas flow rates reduce the ion signal significantly. The simulation results also show that the ion transmission efficiency reduces exponentially with an increased ion source current. Additionally, the ion loss due to space-charge effects has been found to be predominant at a higher ion source current, a lower capillary voltage, and a stronger cone gas counterflow. The interaction of the ion driving force, ion opposing force, and ion dispersion is discussed to illustrate ion transport mechanism in the ion source at atmospheric pressure. Graphical Abstract.

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X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 26%
Student > Ph. D. Student 7 18%
Student > Doctoral Student 4 11%
Student > Master 3 8%
Student > Postgraduate 2 5%
Other 2 5%
Unknown 10 26%
Readers by discipline Count As %
Chemistry 15 39%
Engineering 5 13%
Biochemistry, Genetics and Molecular Biology 2 5%
Immunology and Microbiology 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 5%
Unknown 12 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 January 2018.
All research outputs
#14,605,790
of 25,382,440 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#2,156
of 3,835 outputs
Outputs of similar age
#223,627
of 450,867 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#15
of 56 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,835 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 450,867 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.