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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Electrochemical Based Detection of Influenza

Guo, Xiao 11 July 2013 (has links)
Influenza is the infectious agent of the seasonal flu. Flu symptoms from influenza infection are similar to the symptoms caused by bacterial upper respiratory tract infections. This similarity causes the inappropriate diagnosis and prescription of antibiotics, leading to drug resistant bacterial strains. Moreover, the limitations of the current viral detection methods prevent the clinical diagnosis of influenza. The objective of this project is to design a rapid and sensitive influenza diagnostic method based on the highly sensitive Nanostructured microelectrode biosensing assay. The diagnostic method was designed by selecting probe sequences, controlling the quality of the probes and the sensing chips, and optimizing the deposition conditions. This diagnostic method was shown to be capable of differentiating influenza sequences from non-complementary sequences, detecting influenza sequences in the form of ~1000-nucleotide RNA molecules, sensing the target influenza RNA within a complex mixture of cell lysates, and achieving a clinically relevant detection limit.
2

Electrochemical Based Detection of Influenza

Guo, Xiao 11 July 2013 (has links)
Influenza is the infectious agent of the seasonal flu. Flu symptoms from influenza infection are similar to the symptoms caused by bacterial upper respiratory tract infections. This similarity causes the inappropriate diagnosis and prescription of antibiotics, leading to drug resistant bacterial strains. Moreover, the limitations of the current viral detection methods prevent the clinical diagnosis of influenza. The objective of this project is to design a rapid and sensitive influenza diagnostic method based on the highly sensitive Nanostructured microelectrode biosensing assay. The diagnostic method was designed by selecting probe sequences, controlling the quality of the probes and the sensing chips, and optimizing the deposition conditions. This diagnostic method was shown to be capable of differentiating influenza sequences from non-complementary sequences, detecting influenza sequences in the form of ~1000-nucleotide RNA molecules, sensing the target influenza RNA within a complex mixture of cell lysates, and achieving a clinically relevant detection limit.

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