Identifier

234

Date

2023

Document Type

Honors Thesis

Degree Name

Bachelor of Science in Biomedical Engineering

Major

Biomedical Engineering

Concentration

Biochemistry

Committee Member

Xiaohua Huang

Committee Member

Alberto Rodriguez

Abstract

This thesis pioneers an innovative exploration at the confluence of nanotechnology, surface-enhanced Raman scattering (SERS), and machine learning for the advancement of cancer diagnostics. The synthesis of nanoparticles opens new frontiers in nanoparticle design, promising unprecedented stability and multiplexing capabilities. The journey begins with a profound review of relevant literature, unraveling the historical evolution of nanoparticles and their transformative impact on diverse scientific domains. Navigating through the intricate landscape of nanoscience, the thesis elucidates the theoretical underpinnings governing the optical properties of nanoparticles. These insights, coupled with meticulous experimental validations, guide the tailored design of nanostructures, ensuring optimal performance in cancer cell detection. The narrative unfolds against the backdrop of theoretical framework, intertwining experimental verifications and computational models. Venturing into the experimental and computational domain, this thesis showcases the potential applications of application of gold nanoparticles in the areas of cancer research and nanomedicine, from multiplex capabilities to optical engineering. The synergy of theoretical frameworks and experimental validation methodologies propels this research to the forefront of cancer nanomedicine. Acknowledging the limitations and charting a course for future exploration, this thesis transcends disciplinary boundaries, contributing in the experimental and theoretical realms.

Comments

Undergraduate Honor's Thesis

Library Comment

Honors thesis originally submitted to the Local University of Memphis Honor’s Thesis Repository.

Notes

Data is provided by the student.

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