Date of Award

2020

Publisher

North Dakota State University

Document Type

Thesis

Degree Awarded

Master of Science (MS)

Department

Electrical and Computer Engineering

College

Engineering

Faculty Advisor

Lima, Ivan Jr

Description

Patients with pancreatic cancer in metastasis rarely survive, thus the need for diagnostic tools for early stage detection. Current techniques such as ELISA and SPR are complex and expensive and cannot detect cancer in its early stages. Cancer Antigen 242 (CA 242) is a potential protein biomarker of pancreatic cancer with high sensitivity and specificity. This thesis presents a negative Dielectrophoresis (DEP) based method of detecting pancreatic cancer protein biomarker CA 242 in serum. A spectrum of concentration levels was generated with a cut off level 20 U/mL using a transduction mechanism with negative DEP spectroscopy, light scattering, and image processing. This was a fast and cost-effective method to diagnose early stage pancreatic cancer. This thesis also presents the design and simulation of an electrode modified to increase the electric field gradient with reduced heat generation and a concentration prediction model to predict concentrations from the generated spectrum of experiments.

Rights

NDSU policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Author ORCID Identifier

0000-0002-7451-9388

Handle Identifier

https://hdl.handle.net/10365/31817

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