Statistics of Single-Molecule Surface Enhanced Raman Scattering Signals: Fluctuation Analysis with Multiple Analyte Techniques
journal contributionposted on 01.11.2007, 00:00 by P. G. Etchegoin, M. Meyer, E. Blackie, E. C. Le Ru
The mathematical background, based on a variation of the principal component analysis (PCA) method, is developed for the understanding of fluctuating multiple analyte single-molecule (SM) surface enhanced Raman scattering (SERS) signals; with emphasis on the bianalyte SERS technique developed recently. The method and its significance are presented to provide a systematic framework with which several aspects of the statistics of SM-SERS signals can be analyzed in general. We also apply the method to a concrete example of bianalyte statistics in silver colloidal solutions and discuss related topics around experimental issues and the interpretation of single-molecule SERS data.