学位论文详细信息
Development of spectroscopic smartphone biosensors for point-of-care applications
Smartphone biosensing;point-of-care testing;photonic crystal;photonic crystal enhanced microscopy;digital detection;smartphone spectroscopy;HIV viral load;smartphone diagnostics;POCT;PCEM;single nanoparticle detection;TRI-Analyzer;Spectral TRI-Analyzer
Long, Kenneth D.
关键词: Smartphone biosensing;    point-of-care testing;    photonic crystal;    photonic crystal enhanced microscopy;    digital detection;    smartphone spectroscopy;    HIV viral load;    smartphone diagnostics;    POCT;    PCEM;    single nanoparticle detection;    TRI-Analyzer;    Spectral TRI-Analyzer;   
Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/101252/LONG-DISSERTATION-2018.pdf?sequence=1&isAllowed=y
美国|英语
来源: The Illinois Digital Environment for Access to Learning and Scholarship
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【 摘 要 】

This dissertation explores the combination of two emergent areas within contemporary biosensing, smartphone based spectroscopy and photonic crystal enhanced microscopy, and how these technologies can be combined to produce a fundamentally novel point-of-care testing paradigm: a portable device platform capable of non-amplifying, digital-detection for high-sensitivity diagnostics.In this work, I describe the development of this system, moving from usage-specific benchtop and smartphone based devices demonstrating proof-of-concept capabilities, to a multimodal smartphone platform compatible with thousands of existing spectroscopic assays. The resulting smartphone biosensor can perform various clinically-relevant tests with physiologically-relevant sensitivities.Next, photonic crystal enhanced microscopy is described for uses in the micrometer and nanometer scales for use both to study cellular and subcellular behavior and also to perform single-particle attachment quantification. Finally, this work explores how the single-particle attachment quantification capability can be leveraged to measure HIV viral load using a novel biosensor, designed specifically developed for a smartphone based platform for point of care applications.

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