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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/11236
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dc.contributor.advisorDeen, Jamal M.en_US
dc.contributor.advisorPonnambalam Selvaganapathy, Xun Lien_US
dc.contributor.advisorPonnambalam Selvaganapathy, Xun Lien_US
dc.contributor.authorShinwari, Mohammad Waleeden_US
dc.date.accessioned2014-06-18T16:54:01Z-
dc.date.available2014-06-18T16:54:01Z-
dc.date.created2011-09-21en_US
dc.date.issued2011-10en_US
dc.identifier.otheropendissertations/6219en_US
dc.identifier.other7243en_US
dc.identifier.other2250780en_US
dc.identifier.urihttp://hdl.handle.net/11375/11236-
dc.description.abstract<p>Achieving control over the construction and operation of microfabricated label-free DNA biosensors would be a big leap in the quest for highly reliable clinical laboratory tests. Reliable outcomes of critical medical tests mean less need for repetitions and earlier isolation of outbreaks. Nanotechnology has lent itself well to this purpose, with a plethora of work that attempt to produce highly sensitive nano-biosensors for detection of DNA strands. The problem of achieving a repeatable outcome is crude at best. Additionally, the mechanism of sensing in label-free Field-Effect based DNA sensors is still a matter of dispute. Simulation of the sensors using physical models can shed light into these mechanisms and help answer this question. Computational calculations can also allow designers to assess the importance of several parameters involved in the fabrication.</p> <p>In this thesis, the problem of modeling FET-based DNA hybridization sensors (named BioFET) is approached. Using the Finite-Element Method, a scalable model for the BioFET is produced and solved in 3D. The results are compared to an earlier work and we find that higher dimension physical modeling is essential for more realistic results. Additionally, we present a model for the impedance of the BioFET which allows the calculation of parasitic components that can contaminate the impedance measurements.</p> <p>The issue of variations in the sensed signal from the BioFET is addressed by performing hybrid Finite-Element/Monte Carlo simulations on the conformation of single-stranded DNA. From electrostatic considerations alone, it is concluded that the change of conformation upon hybridization is a main contributor to the induced signal. We also simulate the positional variations of the DNA molecules on the sensitive surface. This computation yields an estimate for the amount of variation in the sensed signal due to the random placement of DNA molecules, and an estimate for the total signal-to-noise ratio is deduced.</p>en_US
dc.subjectbiosensoren_US
dc.subjectmodelen_US
dc.subjectDNAen_US
dc.subjectsimulationen_US
dc.subjectfinite-elementen_US
dc.subjectlab-on-chipen_US
dc.subjectBiochemical and Biomolecular Engineeringen_US
dc.subjectBiomedical devices and instrumentationen_US
dc.subjectBiophysicsen_US
dc.subjectBiotechnologyen_US
dc.subjectNanoscience and Nanotechnologyen_US
dc.subjectOther Electrical and Computer Engineeringen_US
dc.subjectBiochemical and Biomolecular Engineeringen_US
dc.titleSTATIC AND DYNAMIC MODELING OF DNA BIOSENSORS FOR BIOMEDICAL APPLICATIONSen_US
dc.typedissertationen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.description.degreeDoctor of Philosophy (PhD)en_US
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