05/05/2022 Publications scientifiques

Statistical Strategy for Quantitative Evaluation of Plasmon-Enhanced Spectroscopy

Abstract

The plasmon “hot spot” has drawn immense research attention in the areas of surface-enhanced spectroscopy, ultrafast optical switching, and nanophotonics. However, as a typical complex system, fluctuations caused by randomness and disorder make it difficult even impossible to accurately describe and predict the local electric field enhancement behavior of hot spots, therefore seriously hindering it from the laboratory to move toward practical application. Based on the Monte Carlo algorithm, a three-dimensional multi-hot spot model was constructed to theoretically investigate the influence of multiple random factors on the fluctuations of electric field intensity. We found that fluctuations can be effectively suppressed once hot spot density exceeds a threshold value, which means that plasmon performance of complex nanostructures with randomness can be accurately predicted. These theoretical results are confirmed by our preliminary surface-enhanced Raman scattering experiments. Our work promotes the fundamental understanding of the interplay of disorder and local electric field fluctuations in surface plasmon resonance complex systems and would provide a new way for plasmon-enhanced spectroscopy techniques to enable precise quantitative analyses.

More information : pubs.acs.org/doi/10.1021/acsphotonics.2c00132

DOI : 10.1021/acsphotonics.2c00132