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Author ORCID Identifier

https://orcid.org/0000-0002-9230-7514

AccessType

Open Access Dissertation

Document Type

dissertation

Degree Name

Doctor of Philosophy (PhD)

Degree Program

Mechanical Engineering

Year Degree Awarded

2021

Month Degree Awarded

May

First Advisor

Byung Kim

Second Advisor

Yubing Sun

Subject Categories

Biological Engineering | Biomedical Devices and Instrumentation | Other Biomedical Engineering and Bioengineering

Abstract

Large Molecule bioanalysis and biosensor development are essential techniques that are required in many applications, including biotherapeutic development, in vitro diagnostic, biomarker detection, and early detection. These techniques should be highly specific and sensitive enough to identify and quantify an analyte of interest with minimum sample pretreatment requirements.

This work explores the development and application of chip-scale bioassays based on surface-enhanced Raman scattering (SERS). It introduces sensing techniques to quantify various disease biomarkers, specifically pancreatic cancer. Blood is the best source of information about our body's function. There are many biomarkers in the blood, and each biomarker's high expression level can be referred to as a specific disorder. In this work, we have developed sensitive detecting methods to quantify these biomarkers. We successfully validated this method with human serum samples. Due to its capability to detect multiple biomarkers, the proposed bioanalytical technique can enhance the specificity of the approach enabled by machine learning based data classification algorithm.

DOI

https://doi.org/10.7275/21466777.0

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