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Nonlinear electrical impedance spectroscopy of viruses using very high electric fields created by nanogap electrodes.

Hatsuki R, Honda A, Kajitani M, Yamamoto T - Front Microbiol (2015)

Bottom Line: Our living sphere is constantly exposed to a wide range of pathogenic viruses, which can be either known, or of novel origin.These preliminary results show that the three virus types can be distinguished and their approximate concentrations determined.Although further studies are required, the proposed nonlinear impedance spectroscopy method may achieve a sensitivity comparable to that of more traditional, but less versatile, virus detection systems.

View Article: PubMed Central - PubMed

Affiliation: Department of Mechanical and Control Engineering, Tokyo Institute of Technology Tokyo, Japan.

ABSTRACT
Our living sphere is constantly exposed to a wide range of pathogenic viruses, which can be either known, or of novel origin. Currently, there is no methodology for continuously monitoring the environment for viruses in general, much less a methodology that allows the rapid and sensitive identification of a wide variety of viruses responsible for communicable diseases. Traditional approaches, based on PCR and immunodetection systems, only detect known or specifically targeted viruses. We here describe a simple device that can potentially detect any virus between nanogap electrodes using nonlinear impedance spectroscopy. Three test viruses, differing in shape and size, were used to demonstrate the general applicability of this approach: baculovirus, tobacco mosaic virus (TMV), and influenza virus. We show that each of the virus types responded differently in the nanogap to changes in the electric field strength, and the impedance of the virus solutions differed depending both on virus type and virus concentration. These preliminary results show that the three virus types can be distinguished and their approximate concentrations determined. Although further studies are required, the proposed nonlinear impedance spectroscopy method may achieve a sensitivity comparable to that of more traditional, but less versatile, virus detection systems.

No MeSH data available.


Related in: MedlinePlus

Cluster map of Baculovirus, TMV, and influenza virus. The data were obtained for virus concentrations of 1011–1014 virions/mL, and plotted with the phase at 100 kHz along the horizontal axis and the phase at the peak frequency of the imaginary component of impedance along the vertical axis.
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Figure 6: Cluster map of Baculovirus, TMV, and influenza virus. The data were obtained for virus concentrations of 1011–1014 virions/mL, and plotted with the phase at 100 kHz along the horizontal axis and the phase at the peak frequency of the imaginary component of impedance along the vertical axis.

Mentions: We therefore compared the three virus types, and particularly the baculovirus and influenza virus, for differences in phase effects. Figure 6 shows the mapped the data obtained for each virus at concentrations of 1011–1014 virions/mL. The horizontal and vertical axes represent the phases of the imaginary impedance component somewhat arbitrarily at 100 kHz and the peak frequency, fp, respectively. Although some overlap is apparent between the three clusters of data points, the graph clearly shows that it is possible to distinguish between virus types on this basis, independent of their concentrations.


Nonlinear electrical impedance spectroscopy of viruses using very high electric fields created by nanogap electrodes.

Hatsuki R, Honda A, Kajitani M, Yamamoto T - Front Microbiol (2015)

Cluster map of Baculovirus, TMV, and influenza virus. The data were obtained for virus concentrations of 1011–1014 virions/mL, and plotted with the phase at 100 kHz along the horizontal axis and the phase at the peak frequency of the imaginary component of impedance along the vertical axis.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4563260&req=5

Figure 6: Cluster map of Baculovirus, TMV, and influenza virus. The data were obtained for virus concentrations of 1011–1014 virions/mL, and plotted with the phase at 100 kHz along the horizontal axis and the phase at the peak frequency of the imaginary component of impedance along the vertical axis.
Mentions: We therefore compared the three virus types, and particularly the baculovirus and influenza virus, for differences in phase effects. Figure 6 shows the mapped the data obtained for each virus at concentrations of 1011–1014 virions/mL. The horizontal and vertical axes represent the phases of the imaginary impedance component somewhat arbitrarily at 100 kHz and the peak frequency, fp, respectively. Although some overlap is apparent between the three clusters of data points, the graph clearly shows that it is possible to distinguish between virus types on this basis, independent of their concentrations.

Bottom Line: Our living sphere is constantly exposed to a wide range of pathogenic viruses, which can be either known, or of novel origin.These preliminary results show that the three virus types can be distinguished and their approximate concentrations determined.Although further studies are required, the proposed nonlinear impedance spectroscopy method may achieve a sensitivity comparable to that of more traditional, but less versatile, virus detection systems.

View Article: PubMed Central - PubMed

Affiliation: Department of Mechanical and Control Engineering, Tokyo Institute of Technology Tokyo, Japan.

ABSTRACT
Our living sphere is constantly exposed to a wide range of pathogenic viruses, which can be either known, or of novel origin. Currently, there is no methodology for continuously monitoring the environment for viruses in general, much less a methodology that allows the rapid and sensitive identification of a wide variety of viruses responsible for communicable diseases. Traditional approaches, based on PCR and immunodetection systems, only detect known or specifically targeted viruses. We here describe a simple device that can potentially detect any virus between nanogap electrodes using nonlinear impedance spectroscopy. Three test viruses, differing in shape and size, were used to demonstrate the general applicability of this approach: baculovirus, tobacco mosaic virus (TMV), and influenza virus. We show that each of the virus types responded differently in the nanogap to changes in the electric field strength, and the impedance of the virus solutions differed depending both on virus type and virus concentration. These preliminary results show that the three virus types can be distinguished and their approximate concentrations determined. Although further studies are required, the proposed nonlinear impedance spectroscopy method may achieve a sensitivity comparable to that of more traditional, but less versatile, virus detection systems.

No MeSH data available.


Related in: MedlinePlus