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Using Electrochemical Impedance Spectroscopy of Methylene Blue and Ferricyanide for DNA Sensing Surface Characterization

  • Suthisa Leasen
  • Kallaya Sritunyalucksana-Dangtip
  • Jose H. Hodak
  • Jiraporn Srisala
  • Chadin Kulsing
  • Waret Veerasia
Chapter

Abstract

In pathogen diagnosis, a single stranded target DNA may be detected in a sensor carrying an active surface with a recognition layer of its complementary single stranded DNA (ssDNA probe). Such a surface may be the core of a specific DNA sensing electrode. The density of probe ssDNA should then be optimized to display the greatest sensitivity to the target DNA. In this work we utilize the electrochemical impedance spectroscopy (EIS) on the electrode reactions for ferri/ferrocyanide ([Fe(CN)6]3−/4−) and methylene blue (MB) to characterize different stages along the development of an indium tin oxide (ITO)-DNA sensor for target ssDNA after PCR amplification. In particular, we study the effects of applied DC potential pretreatments on the ferri/ferrocyanide-electrode interaction. The effect of the electrostatic repulsion by negative charges of single stranded DNA (ssDNA) was observed to affect the rate of the overall reaction rates for the redox couples. On one hand, EIS spectra for the [Fe(CN)6]3−/4− reaction on DNA modified ITO surfaces yielded time-independent fitting parameters which were consistent with the scanning electrochemical microscopy (SECM) images. On the other hand, MB species yielded time-dependent parameters due to adsorption and intercalation processes that take place on DNA. Models were proposed to explain such time-dependent behavior. The results of the impedance measurements were explained in terms of the variation of the surface charge for different densities of probe ssDNA.

Keywords

Methylene Blue Electrochemical Impedance Spectroscopy Open Circuit Potential Constant Phase Element Probe Concentration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

Suthisa Leasen gratefully thanks for the financial support from Commission on Higher Education. The authors also thank Genome Institute of National Center for Genetic Engineering and Biotechnology for characterizing synthesized oligonucleotides.

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Suthisa Leasen
    • 1
  • Kallaya Sritunyalucksana-Dangtip
    • 2
  • Jose H. Hodak
    • 3
  • Jiraporn Srisala
    • 4
  • Chadin Kulsing
    • 5
  • Waret Veerasia
    • 5
  1. 1.Department of PhysicsMahidol UniversityBangkokThailand
  2. 2.Centex ShrimpMahidol UniversityBangkokThailand
  3. 3.Facultad de Ciencias Exacts y Naturales, Ciudad Univeritaria PabUniversidad de Buenos AiresBuenos AiresArgentina
  4. 4.National Science and Technology Development AgencyNational Center for Genetic Engineering and BiotechnologyPathumthaniThailand
  5. 5.IFEC-MUMahidol UniversityBangkokThailand

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