Author ORCID Identifier
Document Type
Thesis
Date of Award
5-4-2023
Keywords
SERS, Biosensor, SARS-CoV-2, H1N1, Raman Spectroscopy, Multiplexing, Nanoprobe
Degree Name
Chemistry: ACS Certified (BS)
Department
CHEMISTRY
First Advisor
Dr. Chaun Zhong
Series
Science and Mathematics
Subject Heading(s)
Gold -- Diagnostic use ; Raman effect, Surface enhanced ; H1N1 influenza -- Detection
Abstract
The Influenza virus infected over 36 million people in 2019, whereas the COVID-19
virus caused a deadly pandemic that has infected over 700 million people to date. Both viruses share a magnitude of similar symptoms, which presents a key challenge for the need of a highly sensitive and selective biosensors that can simultaneously detect the specific biomarkers for each of these viruses. This work focuses on developing a Surface-enhanced Raman scattering (SERS) based biosensor for detecting protein biomarkers related to the two viruses such as H1N1 and S- protein. Gold nanoparticles are used for SERS signal amplification. The objective of this work is to determine the use of gold nanoparticles to enhance the sensitivity and selectivity of the biosensor in a multiplexed detection of the two different proteins in solutions. The nanoparticles are conjugated with different Raman reporters and capture/detection antibodies for SERS detection. The results demonstrated that the SERS intensity increases with the protein biomarker concentrations. The results also demonstrated the viability of using SERS for the multiplexed detection of the mixed proteins in the solution. The findings will be discussed, along with future experiments to analyze more than two protein biomarkers at one time, ultimately improving the multiplexing capability.
Recommended Citation
Feldman, Hallie, "Surface enhanced raman scattering-based multiplexing detection of proteins in solutions" (2023). Undergraduate Honors Theses. 27.
https://orb.binghamton.edu/undergrad_honors_theses/27