Investigation of DNA sequences utilizing frequency-selective nanopore structures

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Newer methodologies that are quick, label-free, reliable, and low-cost for DNA sequencing and identification are currently being explored. High frequency based-scattering parameters provide a reliable measurement platform and technique to characterize DNA bases. Using a modeling approach, this work investigates the utilization of high frequency-selective structure coupled with nanopore technology for nucleotide identification and sequencing. The model envisions a coplanar waveguide structure harboring a small hole with an internal diameter of the order of several nanometers to demonstrate the potential use of high frequency to identify and sequence DNA. When DNA molecule enters the pore, it should cause disturbance in the electromagnetic field. This disturbance should result in a shift in the resonance frequency and its corresponding characteristics, thus enabling nucleotide identification. The frequency response of four different single DNA strands composed exclusively of either A, C, G or T were measured and characterized to extract the corresponding dielectric constants and their corresponding base paired strands. These dielectric constant values were then used to model the presence of the corresponding DNA molecules in the nanopore. The conducted simulations revealed distinctions between the single and double-stranded DNA molecules due to their different and distinct electrical properties.

Original languageEnglish
Title of host publicationBioinformatics and Biomedical Engineering - 5th International Work-Conference, IWBBIO 2017, Proceedings
EditorsIgnacio Rojas, Francisco Ortuno
PublisherSpringer Verlag
Number of pages9
ISBN (Print)9783319561530
Publication statusPublished - 2017
Event5th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2017 - Granada, Spain
Duration: Apr 26 2017Apr 28 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10209 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other5th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2017
City Granada


  • DNA
  • Frequency
  • Nanopore
  • Sequencing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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