Daniela Moreno Devia
- Biomedical Engineering (Julio Garavito Colombian School of Engineering, 2023)
Topic
Personalized Protocol to Monitor Breast Cancer Radiotherapy Responses using SERS
Department of Chemistry
Date & location
- Friday, August 14, 2026
- 10:00 A.M.
- Elliott Building, Room 226
Examining Committee
Supervisory Committee
- Dr. Alexandre Brolo, Department of Chemistry, University of Victoria (Supervisor)
- Dr. Karolina Papera Valente, Department of Chemistry, UVic (Member)
External Examiner
- Dr. Stephanie Willerth, Department of Mechanical Engineering, UVic
Chair of Oral Examination
- Dr. Douglas Briant, Department of Biology, UVic
Abstract
Surface-Enhanced Raman Spectroscopy (SERS) offers a powerful, non-destructive approach for detecting subtle biochemical changes in cellular systems. In this thesis, SERS was combined with principal component analysis (PCA) to investigate radiation-induced metabolic responses in the supernatant of three breast cancer cell lines: MDA-MB-231, MCF-7, and SK-BR-3, following exposure to 0, 5, and 10 Gy of ionizing radiation. Gold nanostructured SERS substrates were fabricated via electrochemical deposition, providing reproducible enhancement suitable for high throughput spectral mapping. Supernatant samples were collected over a 3–4 day time course, and more than 800 spectra per sample were acquired and preprocessed for multivariate analysis.
PCA revealed that radiation dependent biochemical variation was captured primarily in PC2 for MDA-MB-231 and MCF-7, and PC1 for SK-BR-3, enabling cell line specific tracking of metabolic trajectories. Temporal PC score evolution and boxplot distributions showed distinct subtype dependent responses: MDA-MB-231 exhibited rapid early biochemical shifts consistent with oxidative stress; MCF-7 displayed gradual, sustained changes reflecting metabolic adaptation; and SK-BR-3 demonstrated a biphasic pattern characterized by early heterogeneous stress followed by a delayed but pronounced biochemical divergence. These spectral findings were validated through cell count assays, which confirmed that SK-BR-3 was the most radiosensitive line, MCF-7 showed intermediate sensitivity, and MDA-MB-231 remained comparatively resistant.
Overall, this work establishes that SERS of cell culture supernatant, supported by PCA and phenotypic validation, can sensitively detect radiation induced biochemical changes that precede overt cytotoxicity. The results highlight the potential of SERS based approaches for characterizing radiosensitivity in vitro and lay the groundwork for future applications in treatment monitoring and personalized radiotherapy.