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Title:Surface Enhanced Raman Spectroscopy: A Computational Model and Measurements of Drugs
Author(s):Tang, Tiantian
Contributor(s):Cunningham, Brian
Raman spectroscopy
Raman scattering
surface-enhanced Raman spectroscopy
label-free detection
drug detection
device modeling
Abstract:Surface Enhanced Raman Spectroscopy (SERS) is a label-free detection method that provides fingerprints of molecules adsorbed on surface through their unique scattering modes. Plasmonic Nanodome Array (PNA) substrates for SERS are fabricated in our lab for detecting drug solutions in low concentrations. Because of the complex nature of PNA substrates, optics, and molecule adsorption, a computational model is needed for understanding and improving system performance. We developed this model by simulation, theoretical derivation, and experimental confirmation. In addition, various drugs in low concentration were measured and their Raman cross sections were calculated by the model.
Issue Date:2012-12
Genre:Dissertation / Thesis
Publication Status:unpublished
Peer Reviewed:not peer reviewed
Date Available in IDEALS:2014-01-09

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