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Proceedings Paper

Dielectrophoretic spectroscopy using a microscopic electrode array
Author(s): Syed Abdul Mannan Kirmani; Fleming Dackson Gudagunti; Logeeshan Velmanickam; Dharmakeerthi Nawarathna; Ivan T. Lima
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Paper Abstract

Dielectrophoresis (DEP) is a commonly used technique in biomedical engineering to manipulate biomolecules. DEP is defined as the force acting on dielectric particles when they are exposed to non-uniform electric fields. DEP effect can be divided in three categories: positive (dielectric particles are attracted to the electrodes), negative, and zero force DEP. The cross-over frequency is the frequency in which the DEP force is equal to zero. The cross-over frequency depends on the conductivity and the permittivity of the particles and of the suspended medium. The DEP cross-over frequency has been utilized in detecting/quantifying biomolecules. A manual procedure is commonly used to estimate the cross-over frequency of biomolecules. Therefore, the accuracy of this detection method is significantly limited. To address this issue, we designed and tested an automated procedure to carry out DEP spectroscopy in dielectric particles dissolved in a biological buffer solution. Our method efficiently measures the effect of the DEP force through a live video feed from the microscope camera and performs real-time image processing. It records the change in the fluorescence emission as the system automatically scans the electric frequency of the function generator over a specified time interval. We demonstrated the effectiveness of the method by extracting the crossover frequencies and the DEP spectrum of polystyrene beads with blue color dye (1000 nm diameter) and green fluorescent polystyrene beads with 500 nm diameter using this procedure. This approach can lead to the development of a biosensor with significantly higher sensitivity than existing detection methods.

Paper Details

Date Published: 16 February 2017
PDF: 13 pages
Proc. SPIE 10068, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV, 100680Z (16 February 2017); doi: 10.1117/12.2251282
Show Author Affiliations
Syed Abdul Mannan Kirmani, North Dakota State Univ. (United States)
COMSATS Institute of Information Technology (Pakistan)
Fleming Dackson Gudagunti, North Dakota State Univ. (United States)
Logeeshan Velmanickam, North Dakota State Univ. (United States)
Dharmakeerthi Nawarathna, North Dakota State Univ. (United States)
Ivan T. Lima, North Dakota State Univ. (United States)


Published in SPIE Proceedings Vol. 10068:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV
Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif, Editor(s)

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