Enhanced Detection of Influenza with Nanotrap Particles

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dc.contributor.advisorKehn-Hall, Kylene
dc.contributor.authorShafagati, Nazly
dc.creatorShafagati, Nazly
dc.date2015-05
dc.date.accessioned2015-09-01T14:37:02Z
dc.date.available2020-05-15T06:45:17Z
dc.date.issued2015-09-01
dc.descriptionThis work was embargoed by the author and will not be publicly available until May 2020.
dc.description.abstractThe Influenza virus is a leading cause of respiratory disease in the United States each year. The virus normally causes mild to moderate disease, however, hospitalization and death can occur in many cases. While there are several methodologies that are used for detection, problems such as decreased sensitivity and high false-negatives may arise. There is a crucial need for a fast, yet highly specific detection method. Nanotrap particles work to enrich whole virus and can be coupled to various downstream assays. Here, we demonstrate how Nanotrap particles with acrylic acid baits can be used to concentrate virus from high sample volumes and enhance detection up to 6-fold when coupled to plaque assays and qRT-PCR methodologies. The acrylic acid Nanotrap particles can concentrate virus from nasal fluid swab specimens and nasal aspirates. Importantly, the Nanotrap particles stabilize and protect the virus from degradation over extended periods of time and elevated temperatures. Lastly, in a coinfection scenario, other pathogens such as Coronavirus and Streptococcus pneumoniae do not interfere with capture of Influenza virus. These results collectively demonstrate that Nanotrap particles are an important tool that can easily be integrated into various detection methodologies.
dc.identifier.urihttps://hdl.handle.net/1920/9820
dc.language.isoen_US
dc.rightsCopyright 2015 Nazly Shafagati
dc.subjectDiagnostics
dc.subjectInfluenza
dc.subjectNanotrap particles
dc.titleEnhanced Detection of Influenza with Nanotrap Particles
dc.typeDissertation
thesis.degree.disciplineBiology
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral
thesis.degree.namePhD in Biosciences

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