Raman spectra pretreatment method for removing effects of background noises

Abstract

The invention relates to a raman spectra pretreatment method for removing the effects of background noises. The raman spectra pretreatment method comprises the following steps: 1) obtaining an information raman spectrum and a background spectrum; 2) respectively carrying out first-order differentiation on the information raman spectrum and the background spectrum to obtain a differential difference spectrum; 3) carrying out segment treatment on the differential difference spectrum; 4) carrying out effective information reservation on the differential difference spectrum processed in step 3); 5) carrying out respective sectional integration on the effective part of the differential difference spectrum processed in step 4); and 6) correcting a mutational site of the integral spectrum obtained in step 5), so as to obtain the preprocessed raman information spectrum. The method is used for the pretreatment of the raman spectrum; the effective raman information can be effectively extracted from the complicated background noises; and the method is simple and easy to implement.

Description

technical field [0001] The invention relates to the optical field, in particular to a Raman spectrum denoising processing method. Background technique [0002] When performing Raman spectrum analysis, the Raman spectrum of the substance to be measured is often affected by background noise. These background noises include machine noise, fluorescence interference, Raman spectra of other substances, etc. Background noise interference will affect the accuracy of spectral analysis. Severe background noise interference will make spectral analysis difficult to perform effectively. Therefore, it is often necessary to find a suitable spectral preprocessing method to eliminate the influence of background noise before performing spectral analysis. [0003] Common spectral preprocessing methods for removing background and noise effects include Digital smoothing and filtering: Commonly used digital smoothing and filtering methods include window moving average method and window moving...

AI Technical Summary

Problems solved by technology

The above methods can effectively remove the interference of machine noise, fluorescence, etc. in some cases, but in complex systems, these methods are powerless for the Raman spectrum interference of other non-detection substances, and they are also in the face of high-intensity fluorescence background interference. Can't achieve the desired effect

[0004] On the other hand, due to...

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