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Thesis
Development of a quantum dot based microcapillary immunosensor for detection of biomarkers
Master of Science (M.S.), Drexel University
Feb 2009
DOI:
https://doi.org/10.17918/etd-3226
Abstract
The unique properties of Quantum Dots (QDs) such as broad excitation spectra, narrow emission spectra, high resistance to photobleaching, higher photo-stability and stronger fluorescence makes them one of the most attractive fluorescent reporter molecules for a wide range of biological applications including biosensing and assay development applications. However, the high cost of QDs has limited their application in assay development where at least 50-100[mu]L reagents are required for performing an assay. This research capitalizes on the superior properties of QDs by utilizing just 1-2[mu]L of sample and antibodies conjugated to QDs for detection of biomarkers. In this work we developed a simple and inexpensive microcapillary immunosensor based on quantum dot assay for detecting Myeloperoxidase (MPO) in animal stool samples. The method utilizes commercially available polymethylmethaacrylate (PMMA) micro-capillaries (I. D. 250[mu]m, O. D. 500[mu]m) as substrates for performing a sandwich assay. The results obtained indicate that the limit of detection (LOD) of the device and the assay is 100 picomolar of MPO (~15 ng/mL) in 1-2[mu]L of sample. The specificity of the assay was tested in a solution mixture containing MPO and Matrix Metalloproteinase 1 (MMP 1). Furthermore, the assay and device robustness was tested by detecting MPO in animal stool samples and comparing the results obtained with a commercially available MPO ELISA kit which uses 100[mu]L of sample.
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Details
- Title
- Development of a quantum dot based microcapillary immunosensor for detection of biomarkers
- Creators
- Sakya Sing Mohapatra - DU
- Contributors
- Elisabeth S. Papazoglou (Advisor) - Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Master of Science (M.S.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Resource Type
- Thesis
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems (1997-2026); Drexel University
- Other Identifier
- 3226; 991014632186204721