Archives

Use the links below to view program (online format).

Monday , October 22

Mon. Posters: AES

11:00 amA Mathematical Model to Extract Cell Properties from Dielectrophoretic Measurements
A mathematical model of dielectrophoretic data connects physical differences of analytes to dielectrophoretic behaviors.
Shannon Huey Hilton1, Mark A. Hayes1,2,3,4; 1Arizona State University
Abstract:
Dielectrophoresis (DEP) is a technique with powerful analytical capabilities. It has found applications with various analytes, from DNA, proteins, and viruses to bacteria, blood cells, and stem cells. DEP has been used to separate live and dead cells, show differences in bacteria based on antibiotic resistance, and target tumor cells. These and other applications point to a need for a next step in the understanding of dielectrophoretic data: connecting the properties of the analytes with the information from DEP measurements. Theoretical calculations have shown that DEP is a high-resolution technique, opening the possibility for properties of analytes to be assessed directly from DEP experimental data. We have generated a model to understand dielectrophoretic data and have begun to explore how it can be used to explain the information obtained. Here, the simple chemical alteration of a cell by fluorescent labeling causes measurable differences in dielectrophoretic behavior. The source of the difference is known in this case, the changing of a primary amine to a small molecule with a tertiary amine and a carboxylic acid. The model can then be used to determine the extent of labeling, and thus the differences, in the cell populations. The use of this model in such a way could be extended to other DEP applications.