Alcohol detection in translucent package using wavelet filtration by Raman spectroscopy

In this paper, by using a custom noise reduction method process the Raman spectra of alcohol, compared to wavelet noise reduction method in MATLAB, the Raman spectra of alcohol that processed by former is better, due to the peaks of alcohol composition is clearer and easier to distinguish. In addition, this method can remove the fluorescent background and interference of scattering light, so as to providing great convenience for rapid and non-destructive testing on alcohol by using Raman spectra.