Ultra-sensitive and multiplex detection of clinical biomarkers using a SPRi-based sensor
- UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
- Effat Zeidan (Creator)
- Institution
- The University of North Carolina at Greensboro (UNCG )
- Web Site: http://library.uncg.edu/
- Advisor
- Ethan Taylor
Abstract: Reliable and reproducible biomarker analysis is the main focus of current clinical diagnostic approaches being developed for the sensitive detection and quantification of biomarkers in bodily fluids. Currently used tools are being revised for better analytical performance that overcomes the drawbacks of inaccurate results. Surface plasmon resonance imaging is rising quickly as an affinity-based optical biosensor that demonstrates numerous improvements to the sensor surface design and sensitivity for label-free and real-time biomarker analysis. In this work, our goal is to develop a more sensitive analytical method for the enhanced detection of the human growth hormone (hGH) in serum, multiplex detection of disease biomarkers (KIM-1 and HMGB-1) simultaneously in buffer using a sandwich-amplification assay, and small molecule- progesterone sensing using a novel aptasensor. Our goals were met by ensuring a homogenous and specific immunosensor for detecting hGH at very low concentrations (> 9.1 pg/mL), substituting random antibody attachment with a site directed immobilization to the sensor surface for multiplex detection of two disease biomarkers down to 5 pg/mL levels in buffer, and further increasing the sensitivity of progesterone biosensor by exploiting x-aptamer technology for highly selective detection of progesterone (> 1 nM) in buffer.
Ultra-sensitive and multiplex detection of clinical biomarkers using a SPRi-based sensor
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Created on 5/1/2016
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Additional Information
- Publication
- Dissertation
- Language: English
- Date: 2016
- Keywords
- Label-Free, Multiplex Detection, Real-time, Steroids, Surface Plasmon Resonance Imaging, Ultrasensitive Detection
- Subjects
- Biochemical markers
- Body fluids $x Analysis
- Biosensors
- Surface plasmon resonance