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Label-free electrical detection of DNA hybridization for the example of influenza virus gene sequences


Reference:

Kukol, A., Li, P., Estrela, P., Ko-Ferrigno, P. and Migliorato, P., 2008. Label-free electrical detection of DNA hybridization for the example of influenza virus gene sequences. Analytical Biochemistry, 374 (1), pp. 143-153.

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    Official URL:

    http://dx.doi.org/10.1016/j.ab.2007.10.035

    Abstract

    Microarrays based on DNA-DNA hybridization are potentially useful for detecting and subtyping viruses but require fluorescence labeling and imaging equipment. We investigated a label-free electrical detection system using electrochemical impedance spectroscopy that is able to detect hybridization of DNA target sequences derived from avian H5N1 influenza virus to gold surface-attached single-stranded DNA oligonucleotide probes. A 23-nt probe is able to detect a 120-nt base fragment of the influenza A hemagglutinin gene sequence. We describe a novel method of data analysis that is compatible with automatic measurement without operator input, contrary to curve fitting used in conventional electrochemical impedance spectroscopy (EIS) data analysis. A systematic investigation of the detection signal for various spacer molecules between the oligonucleotide probe and the gold surface revealed that the signal/background ratio improves as the length of the spacer increases, with a 12- to 18-atom spacer element being optimal. The optimal spacer molecule allows a detection limit between 30 and 100 fmol DNA with a macroscopic gold disc electrode of I mm radius. The dependence of the detection signal on the concentration of a 23-nt target follows a binding curve with an approximate 1:1 stoichiometry and a dissociation constant of K-D = 13 +/- 4 nM at 295 K. (c) 2007 Elsevier Inc. All rights reserved.

    Details

    Item Type Articles
    CreatorsKukol, A., Li, P., Estrela, P., Ko-Ferrigno, P. and Migliorato, P.
    DOI10.1016/j.ab.2007.10.035
    DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
    Research CentresCentre for Advanced Sensor Technologies (CAST)
    RefereedYes
    StatusPublished
    ID Code12117
    Additional InformationID number: 000253010100018

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