[17a-A34-1~9] 4.1 Plasmonics and Nanophotonics

9:00 AM - 9:30 AM JST(12:00 AM - 12:30 AM UTC)English Presentation

[17a-A34-1] [JSAP-Optica Joint Symposia Invited Talk] Selective Accumulation of SERS Signal

〇Yuika Saito¹, Takahiro Kondo¹, Kota Uchiyama¹ (1.Gakushuin Univ.)

Keywords:

Surface Enhanced Raman Spectroscopy,machine learning

We developed a new method for obtaining surface-enhanced Raman scattering (SERS) spectra with extremely high sensitivity and spectral resolution. In this method, thousands of SERS spectra are acquired, followed by a data selection procedure based on density-based spatial clustering of applications with noise (DBSCAN). The method was applied to a crystal violet (CV) aqueous solution. The reconstructed spectrum greatly improved signal-to-noise ratio in comparison with the averaged spectrum. The small peaks are clearly recognized which are difficult to see in normal SERS spectra. Similarly, the peak overlapped in a background luminescence is more easily observed. These results suggest that we successfully recovered all the Raman peaks found in the spectrum under high concentration.