Database-based Raman spectrum preprocessing method

Abstract

The invention discloses a database-based Raman spectrum preprocessing method, which comprises the following steps: collecting Raman spectra of various samples and constructing a Raman spectral database, wherein a spectral matrix formed by Raman spectral data contained in the Raman spectral database is low-ranking; under certain preset integration time conditions, collecting original spectra of thesamples with the same components; when the noise of the original spectra exceeds a threshold, extracting appropriate spectral data from the Raman spectrum database to construct a temporary database,combining the original spectra and the temporary database into a spectral matrix, and using a low-rank spectral optimization algorithm to process the spectral matrix; extracting the Raman spectrum optimized by the algorithm and evaluating the noise of the Raman spectrum; if the noise does not exceed the threshold, obtaining the Raman spectrum of which the effect of the noise is eliminated and thesignal-to-noise ratio is satisfactory; otherwise, performing next iteration, and performing data optimization process again. The method effectively shortens the acquisition time of the spectral data and provides a broader application prospect for the Raman spectrum detection.

Description

technical field [0001] The invention relates to the technical field of Raman spectrum preprocessing, in particular to a database-based Raman spectrum preprocessing method. Background technique [0002] Raman spectroscopy is an important spectral detection technology based on the Raman scattering effect, which can realize the qualitative, quantitative and structural analysis of substances. It has the advantages of simple operation, fast analysis speed and high sensitivity. More importantly, Raman Spectroscopy does not require sample preparation, and can perform non-destructive testing on samples with high reliability. [0003] At present, the application range of Raman spectroscopy is very wide, including: chemistry, materials, food, medicine, biology, environmental protection, geological archaeology, gem identification and other fields. [0004] In the process of using Raman spectroscopy for material detection, the collected original Raman spectra are usually accompanied by...

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Problems solved by technology

[0005] At present, the commonly used Raman spectrum preprocessing methods include smoothing, derivation, standard normal transformation, wavelet transformation, etc., but each method has certain limitations, for example: the smoothing method may lose useful high-frequency signal data ; The derivative method will introduce new noise; the standard normal transformation method cannot remove the fluorescence background interference; the wavelet transformation method is sensitive to parameter settings, etc.

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