A Background Noise Reduction and Peak Detection Method for Surface Enhanced Raman Scattering Signals

摘要

A background noise reduction and peak detection method has been developed and demonstrated for surface enhanced Raman scattering (SERS) signals. The noise of SERS signals is estimated by modeling both the deterministic and the random components of the noise. From the difference between the noise model output and the original data, which is described by the standard measurement uncertainty, the peak locations and peak heights can be determined. Compared to the traditional methods, the method proposed in this paper has a better performance and practicability.