A method for analyzing and processing laser Raman spectrum

Abstract

The invention relates to a laser Raman spectrum analysis processing method, comprising the following steps: 1) performing baseline correction processing based on an adaptive iterative reweighted penalty least squares method and smoothing processing based on a penalty least squares method on the Raman spectrum original signal ; 2) performing peak detection based on continuous wavelet transform to the signal processed in step 1). Compared with the prior art, the invention has the advantages of fast speed and high peak detection precision.

Description

technical field [0001] The invention relates to a signal processing method, in particular to a laser Raman spectrum analysis processing method. Background technique [0002] Raman spectroscopy can be seen as a "fingerprint" technique because it can provide very rich structural information. Therefore Raman spectroscopy can be used for qualitative identification of substances. And Raman spectroscopy has the advantages of simple sample preparation, no damage to the sample, and can be collected in almost all environments. [0003] Because Raman spectroscopy has the above advantages, it is widely used in chemical composition analysis. However, the laser source of Raman spectroscopy is visible light, so it has the disadvantages of easy to generate noise and serious fluorescence interference. These shortcomings will affect the qualitative and quantitative analysis of samples, but the current hardware technology cannot avoid these shortcomings, so it is necessary to use mathemati...

AI Technical Summary

Problems solved by technology

However, the laser source of Raman spectroscopy is visible light, so it has the disadvantages of easy to generate noise and serious fluorescence interference.

These shortcomings will affect the qualitative and quantitative analysis of samples, but the current hardware technology cannot avoid these shortcomings, so it is necessary to use mathematical algorithms to post-process the Raman spectrum to achieve the purpose of filtering noise and fluorescence

[0004] Chinese patent CN 103217409B discloses a Raman spectrum preprocessing method, which uses wavelet transform-based adaptive threshold denoising, and uses an asymmetric least squares baseline correction algorithm to remove fluorescent background, which has the following deficiencies: First, the smoothing parameter Requires optimization to get the best results; second, the asymmetry parameter is constant for all baseline data points, so the baseline may have negative values

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