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Nucleotide Identification in DNA Using Dielectrophoresis Spectroscopy
Fleming Dackson Gudagunti1, Logeeshan Velmanickam1, Dharmakeerthi Nawarathna1
1Department of Electrical and Computer Engineering, North Dakota State University, Fargo, ND 58102, USA.
Micromachines
|January 8, 2020
Summary
Negative dielectrophoresis (DEP) spectroscopy effectively detects single nucleotide polymorphisms (SNPs) in DNA. This biosensor technology analyzes DNA-bound microsphere movement to identify genetic variants linked to diseases.
Area of Science:
- Biotechnology
- Biosensor Technology
- Molecular Diagnostics
Background:
- Single nucleotide polymorphisms (SNPs) are key genetic variations associated with various diseases.
- Accurate and efficient SNP detection is crucial for genetic diagnostics and personalized medicine.
- Current SNP genotyping methods can be complex and time-consuming.
Purpose of the Study:
- To demonstrate negative dielectrophoresis (DEP) spectroscopy as a viable biosensor transduction mechanism for SNP detection.
- To investigate the frequency dependence of DEP forces on DNA-bound microspheres for SNP identification.
- To assess the potential of this technology for diagnosing genetic variants.
Main Methods:
- Utilized negative dielectrophoresis (DEP) spectroscopy with interdigitated electrodes.
- Functionalized polystyrene microspheres (PM) with single-strand DNA.
- Measured the drift velocity of DEP-bound PMs across a frequency range of 0.5 MHz to 2 MHz.
- Employed custom automated software with real-time image processing for drift velocity calculation.
Main Results:
- Observed a clear frequency dependence of the negative DEP force on DNA-bound PMs.
- Demonstrated that DEP force changes correlate with variations in the last and second-to-last nucleotides of the DNA strand.
- The drift velocity of PMs, proportional to DEP force, varied measurably with SNP presence.
Conclusions:
- Negative dielectrophoresis (DEP) spectroscopy is a sensitive and effective method for detecting SNPs in short DNA strands.
- This biosensor technology offers a promising approach for SNP genotyping.
- The developed method has significant potential for disease diagnosis and the identification of disease-associated genetic variants.
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