Journal of Nanoparticle Research

, 15:1503

Frequency analysis and application of a buckypaper-based bionanosensor

Authors

  • Vishal Desai
    • Department of Electrical, Computer Engineering & Computer ScienceUniversity of New Haven
  • Bouzid Aliane
    • Department of Electrical, Computer Engineering & Computer ScienceUniversity of New Haven
  • Ping-Ju Tsai
    • School of Material Science and EngineeringUniversity of New South Wales
  • Sammy Lap Ip Chan
    • School of Material Science and EngineeringUniversity of New South Wales
  • Hsin-Yuan Miao
    • Department of Electrical EngineeringTungHai University
    • Department of PhysicsUniversity of New Haven
Research Paper

DOI: 10.1007/s11051-013-1503-y

Cite this article as:
Desai, V., Aliane, B., Tsai, P. et al. J Nanopart Res (2013) 15: 1503. doi:10.1007/s11051-013-1503-y

Abstract

A novel bionanosensor (BNS) with multi-walled carbon nanotubes for the precise detection of DNA-hybridization was developed earlier using intermediate frequency electrical measurements. In the earlier project also a modeling technique for detailed understanding of the DNA-hybridization taking place on the surface of a sensor was also developed. In the current project, the authors have advanced the BNS fabrication using buckypaper for highly efficient detection of DNA-hybridization with controlled device resistance. Buckypaper is a thin sheet of an aggregate of carbon nanotubes (CNTs). Furthermore, the modeling of these sensors using pole-zero plots in the z-plane suggests the orientation of CNTs within the buckypaper in the presence of hybridized-DNA in the high frequency range (12–16 MHz). This modeling technique is not limited only to the BNS under study but significantly increases our knowledge on CNT–DNA interaction. Thus, this research yields successful application of buckypaper as a BNSs and strongly suggests the possible orientation of CNTs within buckypaper using hybridized-DNA at a high frequency range.

Keywords

NanobiosensorCNTCarbon nanotubeBuckypaperDNA-hybridizationFrequency analysisDigital signal processing (DSP)

Copyright information

© Springer Science+Business Media Dordrecht 2013