Development of a bulk acoustic resonator sensing platform for cancer biomarker detection

dc.contributor.advisor Bhatti, Pamela T.
dc.contributor.author Mobley, Stephen J.
dc.contributor.committeeMember Hunt, William D.
dc.contributor.committeeMember Brand, Oliver
dc.contributor.committeeMember Doetsch, Paul
dc.contributor.committeeMember Kenney, James S.
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2017-01-11T13:56:31Z
dc.date.available 2017-01-11T13:56:31Z
dc.date.created 2015-12
dc.date.issued 2015-08-11
dc.date.submitted December 2015
dc.date.updated 2017-01-11T13:56:31Z
dc.description.abstract Cancer is one of the leading causes of death for patients within the United States and throughout the world. When diagnosed in early growth stages, tumors (regions of uncontrolled cell division) can be more effectively treated and patients are more likely to survive. Therefore, the development of screening technology for early detection of cancer is essential to improve patient survival rates and serves as the motivation for this work. The objective of this dissertation is the design and implementation of a sensing platform for the detection of cancer biomarkers within aqueous patient samples. The system’s transducer is based on previously developed zinc oxide (ZnO) bulk acoustic wave (BAW) resonators that are capable of exciting multiple types of acoustic modes. Chapter 1 presents the motivation for this work along with a short review of gravimetric biosensors used in aqueous applications. Chapter 2 focuses on the history, theoretical derivation, and fabrication protocol for the system transducers and array configuration. In Chapter 3, the Universal Serial Bus (USB) is examined as a potential radio frequency bus for device characterization of MEMs devices. Chapter 4 presents the optimization of a module design for isolating the circuitry from the fluidics pathways for sample exposure. Combining the work of the previous chapters, Chapter 5 validates the ability of the designed system to serve as a biosensing platform. Each individual sensor is functionalized with antibodies selectively binding the desired biomarker. Lastly, Chapter 6 demonstrates a protocol for extracting features from raw sensor data to develop classification models. Thus, providing diagnostic information about the sample exposed to the device.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/56162
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Surface mount resonator
dc.subject Cancer biomarker
dc.subject Zinc oxide
dc.subject Bulk acoustic wave
dc.title Development of a bulk acoustic resonator sensing platform for cancer biomarker detection
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Bhatti, Pamela T.
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
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relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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