Martínez Julca, Milton A.

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    Application of principal component analysis in the design of substrates for surface enhanced Raman scattering (SERS) to detect proteins present in buffer solution
    (2019-12-09) Martínez Julca, Milton A.; Resto Irizarry, Pedro J.; College of Engineering; Romañach, Rodolfo; De Jesús Ruiz, Marco A.; Hernández Rivera, Samuel P.; Other; Rivera, Rosita
    Therapeutic cells are a key component in the future of medicine. Biosensing methods that can monitor cell quality attributes in a rapid, real-time manner are required to scale-up the manufacturing of high-quality therapeutic cells. In the present work, ATR-FTIR and Raman spectroscopy are used to discriminate protein in solutions. Results show the ability to detect proteins as a function of their covalent bonds, but with low signal/noise ratios. SERS was implemented using Au thin films deposited on Si, Polydimethylsiloxane (PDMS), micro-PDMS and polycarbonate substrates to increase signal/noise ratios. Au thin films were made using Physical Vapor Deposition (PVD). These were analyzed using AFM and Raman Spectroscopy. Au thin films having a thickness of 10 nm were obtained and showed a suitable roughness (around 2.6-51.18nm). Spectral analysis was combined with multivariate analysis using Principal Components Analysis (PCA) to differentiate between substrates as a function of their chemical composition.