Graduation Semester and Year
Summer 2024
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Electrical Engineering
Department
Electrical Engineering
First Advisor
Dr. Kambiz Alavi
Second Advisor
Dr. Robert Magnusson
Third Advisor
Dr. Jon Weidanz
Abstract
In this work, we developed and investigated the cancer cell killing efficacy of different instances using real-time high-sensitivity measurements facilitated by Guided-Mode Resonance (GMR) sensors. The GMR biosensor technology detects shifts in the spectral peak caused by changes in the refractive index of the surrounding medium, offering a label-free method for monitoring cellular events.
A549 cell line wild type and HER2 knockout (lung cancer cells) were exposed to different concentrations of Triton X-100 and ADC (Herceptin with αHFc-CL-DMDM). The GMR-based cell killing assay demonstrated exceptional sensitivity and specificity, with shifts in wavelength exhibiting a robust correlation with cell viability and MTS standard results. Using this method, we achieved a reduction in measurement time by several hours per experiment compared to traditional cytotoxicity assays such as MTS, and gained unique insights into the real-time evolution of the cell death process. Additionally, we integrated GMR biosensor data with machine learning to develop and optimize predictive models of cell toxicity. This approach enhanced the speed and efficiency of drug screening processes, and the development of a user-friendly R-Shiny application facilitated real-time predictions and comprehensive data analysis. Our optimization indicated a significant increase in performance, with a measured improvement of 7.0% compared to the default setting of Random Forest.
Overall, the GMR biosensor technology substantially advances the state of the art in real-time cell killing assays, offering a valuable tool for cancer research and drug development with improved sensitivity, accuracy, and efficiency.
Keywords
Guided-mode resonance, GMR, Optics, Biosensors, Optical, Cell killing assays, ADC, Antibody-drug conjugated
Disciplines
Biomedical Devices and Instrumentation | Biotechnology | Electrical and Electronics | Electro-Mechanical Systems
License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Vaziri, Seyedmohsen, "DEVELOPMENT AND APPLICATION OF GUIDED MODE RESONANCE BIOSENSOR PLATFORMS FOR HIGHLY SENSITIVE AND REAL-TIME CELL KILLING ASSAYS" (2024). Electrical Engineering Dissertations. 288.
https://mavmatrix.uta.edu/electricaleng_dissertations/288
Included in
Biomedical Devices and Instrumentation Commons, Biotechnology Commons, Electrical and Electronics Commons, Electro-Mechanical Systems Commons