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    Characterization and Optimization of the Smartphone Response to Paper Microfluidic Biosensor Assay Under UV Light Source

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    Author
    Nahapetian, Tigran Gevorgi
    Issue Date
    2015
    Keywords
    Escherichia coli
    Immunoassay
    Paper Microfluidics
    Smartphone
    Ultraviolet
    Biomedical Engineering
    Biosensor
    Advisor
    Yoon, Jeong-Yeol
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    The use of smartphone for the detection of biological constituents is becoming a useful tool as a point-of-care (POC) device and diagnostics. When combined with microfluidic paper analytic devices (μPAD) and particle immunoassays, we have the ability to detect bacterial pathogens with sensitivity and specificity. Environmental conditions as well as variability in smartphone imaging and the cellulose in paper microfluidics however can sometimes easily interfere with the detection of small signal changes. Combining this issue with the detection of pathogens in blood (our model biological sample of interest) becomes difficult with such a platform because of the complexity of the sample matrix. However, in this research we take a novel approach at utilizing polystyrene’s auto-fluorescence and the high energy of UV LEDs in a particle immunoassay in order to increase our signal change. We first characterized how the smartphone actually responds to UV light (275-385 nm) with respect to the RGB components in its images. We were then able to determine a favorable response using the 385 nm UV LED. The detection of green fluorescence by polystyrene particles was possible by analyzing the smartphone’s image in the green channel. There was a significant difference in signal change with blood samples including polystyrene versus just blood samples with a normalized signal intensity change of 2.5 (150%). The detection of polystyrene fluorescence was translated into a field deployable prototype, where preliminary trials showed promising results in detecting Escherichia coli in blood with a current limit of detection of 50 CFU/ml. With further experimentation and optimization the limit of detection could be improved to 10 CFU/mL, making it a very useful tool in the detection of blood borne pathogens to prevent complications with onset bacteremia and the more serious cases of sepsis. This assay platform could provide an easy to use solution with detection in a short time (assay time of 1 min) compared to the lengthy blood culture monitoring or biomarker detection.
    Type
    text
    Electronic Thesis
    Degree Name
    M.S.
    Degree Level
    masters
    Degree Program
    Graduate College
    Biomedical Engineering
    Degree Grantor
    University of Arizona
    Collections
    Master's Theses

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