RAMAN ANALYTICS TO MONITOR INFLUENCE OF RESVERATROL ON LYMPHOMA CELLS: Fachhochschulenkonferenz 2022

Resveratrol is a natural polyphenol with known antimicrobial, antiinflammatory and anti-oxidative effects, which is often used as a nutritional supplement. Due to its multi-targeted effect in cells, it is also being investigated as supporting additive for therapy. In combination with general cancer drugs like Etoposide, it could support the effects of chemotherapy and / or lower its side effects. To observe the efficacy of these substances and to enable timely decisions in diagnostics and therapy, the changed metabolism of intact living cells must be monitored by a fast and simple work-flow. Surface-enhanced Raman Spectroscopy (SERS) is a suitable tool to collect information about the molecular composition of cells, especially regarding biomolecules like DNA, proteins or lipids. Multivariate statistics allows to extract this information about the cell status from the Raman spectra to assess the impact of the chemotherapy. Label-free sample preparation for the required enhancement of Raman signals is in SERS achieved through the addition of metallic nanostructures. Application of SERS for the differentiation of chemotherapeutically treated and untreated Hodgkin-Lymphoma (HL) cells was optimized. Various SERS substrates were investigated, an optimized Raman analysis method specific for HL cells was developed. For targeted differentiation and scientifically sound interpretation of the resulting Raman spectra, an automated, opensource data analysis work-flow was developed based on automated spectral selection and qualitative evaluation using PCA-LDA (principal component analysis and linear discriminant analysis). Etoposide/Resveratrol-treated HL cells were differentiated from untreated HL cells with high accuracy using this work-flow. The supporting role of Resveratrol can be further investigated by the successfully established reproducible SERS method and the fast data analysis.