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Nonlinear Waves in Capillary Electrophoresis

Overview of attention for article published in Bulletin of Mathematical Biology, March 2010
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Title
Nonlinear Waves in Capillary Electrophoresis
Published in
Bulletin of Mathematical Biology, March 2010
DOI 10.1007/s11538-010-9527-2
Pubmed ID
Authors

Sandip Ghosal, Zhen Chen

Abstract

Electrophoretic separation of a mixture of chemical species is a fundamental technique of great usefulness in biology, health care, and forensics. In capillary electrophoresis, the sample migrates in a microcapillary in the presence of a background electrolyte. When the ionic concentration of the sample is sufficiently high, the signal is known to exhibit features reminiscent of nonlinear waves including sharp concentration "shocks." In this paper, we consider a simplified model consisting of a single sample ion and a background electrolyte consisting of a single coion and a counterion in the absence of any processes that might change the ionization states of the constituents. If the ionic diffusivities are assumed to be the same for all constituents the concentration of sample ion is shown to obey a one dimensional advection diffusion equation with a concentration dependent advection velocity. If the analyte concentration is sufficiently low in a suitable nondimensional sense, Burgers' equation is recovered, and thus the time dependent problem is exactly solvable with arbitrary initial conditions. In the case of small diffusivity, either a leading edge or trailing edge shock is formed depending on the electrophoretic mobility of the sample ion relative to the background ions. Analytical formulas are presented for the shape, width, and migration velocity of the sample peak and it is shown that axial dispersion at long times may be characterized by an effective diffusivity that is exactly calculated. These results are consistent with known observations from physical and numerical simulation experiments.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Australia 1 4%
Unknown 24 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 42%
Researcher 6 23%
Professor > Associate Professor 3 12%
Professor 2 8%
Student > Bachelor 2 8%
Other 1 4%
Unknown 1 4%
Readers by discipline Count As %
Engineering 7 27%
Physics and Astronomy 4 15%
Chemistry 3 12%
Chemical Engineering 2 8%
Agricultural and Biological Sciences 2 8%
Other 3 12%
Unknown 5 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 March 2012.
All research outputs
#20,156,138
of 22,663,969 outputs
Outputs from Bulletin of Mathematical Biology
#995
of 1,095 outputs
Outputs of similar age
#101,116
of 105,960 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#11
of 11 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,095 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% 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 105,960 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.