Label-free electrical immunoassay biosensors for early disease diagnosis

SOAR Repository

Show simple item record

dc.contributor.advisor Prasad, Shalini
dc.contributor.author Brandigampala, Savindra Madhavi
dc.date.accessioned 2012-11-16T21:28:47Z
dc.date.available 2012-11-16T21:28:47Z
dc.date.copyright 2012 en
dc.date.issued 2012-05
dc.identifier.other t12006
dc.identifier.uri http://hdl.handle.net/10057/5378
dc.description Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science en_US
dc.description.abstract This thesis focused on developing an inexpensive and user friendly “point- of- care” (POC) device for early disease diagnosis. Proteomics research has elucidated many new proteins as biomarkers that have the potential to greatly improve disease diagnosis. A combination of several biomarkers has been determined to provide the information necessary for robust diagnosis of a disease in any person within a population. This technology was employed in a clinical application to identify two disease states: (i) vulnerable coronary plaque rupture, which is the cause of acute coronary syndromes stroke; and (ii) neurodegenerative diseases, which are some of the leading causes of death and debilitation worldwide. In this thesis, nanomaterials were utilized to generate high surface-area-to-volume structures in developing a biosensor platform for early disease diagnosis. These devices are known as nanomonitors. The protein-specific capacitance measurement method was employed as the basis for protein biomarker detection in a preoperative state. Troponin T and alpha-synuclein were employed as the target protein biomarkers because they have been identified to be clinically relevant in identifying vulnerable coronary vascular plaque rupture and neurodegenerative disease states, respectively. The primary purpose of this thesis was to measure performance parameters such as limit of detection, specificity, dynamic range, and detection speed of nanomonitor devices for protein biomarker-based disease detection with accuracy greater than 95 percent. en_US
dc.format.extent xvi, 67 p. en
dc.language.iso en_US en_US
dc.publisher Wichita State University en_US
dc.rights Copyright Savindra Madhavi Brandigampala, 2012. All rights reserved en
dc.subject.lcsh Electronic dissertations en
dc.title Label-free electrical immunoassay biosensors for early disease diagnosis en_US
dc.type Thesis en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search SOAR

Advanced Search


My Account