Characteristic Peak Extraction Method for Ultraviolet Raman Spectroscopy with Low Signal-to-Noise Ratio

A UV Raman and low signal-to-noise ratio technology, applied in the field of characteristic peak extraction and Raman characteristic peak image, can solve the problems of large noise influence on detection results, difficulty in identifying Raman characteristic peaks, and insufficient laser stability

Active Publication Date: 2021-01-01
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, the sensitivity of Raman spectroscopy detection is low (the intensity of Rayleigh scattered rays is only 10 of the incident light intensity. -3 , the Raman spectrum intensity is only about 10 of the Rayleigh line -3 ), especially for some small, portable or simple ultraviolet Raman spectroscopy detection systems, due to factors such as low laser power, insufficient laser stability, and too much noise of the uncooled CCD, the noise of the detection results is greatly affected, and the Raman signal signal Low noise ratio, difficult to identify Raman characteristic peaks
[0003] Some traditional signal processing methods can remove some random noise, so that the Raman characteristic peaks are prominent, but it is not necessarily ideal for Raman spectroscopy, because many weak Raman peaks, whether in terms of amplitude or waveform, close to noise
Therefore, in the process of removing random noise, many weak Raman effective signals will be lost, and the signal-to-noise ratio has not improved much

Method used

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  • Characteristic Peak Extraction Method for Ultraviolet Raman Spectroscopy with Low Signal-to-Noise Ratio
  • Characteristic Peak Extraction Method for Ultraviolet Raman Spectroscopy with Low Signal-to-Noise Ratio
  • Characteristic Peak Extraction Method for Ultraviolet Raman Spectroscopy with Low Signal-to-Noise Ratio

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Embodiment 1

[0058] Now use the laboratory self-developed portable 266nm laser excitation Raman spectroscopy system to perform Raman detection on heroin samples. The acquisition integration time is 2 seconds, and the baseline correction function is turned on, that is, the spectral fluorescence background noise will be removed when acquiring each frame of Raman spectrum. , select N=9, that is, when a new frame of spectrum is received, the first 9 frames of spectra are temporarily stored, the x-axis is the Raman shift, and the algorithm processing starts after the sample is placed stably for 6 seconds. The processing flow of the feature peak extraction method is shown in Figure 1.

[0059] As shown in Figure 1, the method for extracting the characteristic peaks of the low signal-to-noise ratio ultraviolet Raman spectrum disclosed in this embodiment, the specific implementation method is as follows:

[0060] Step 1: As shown in Figure 2, the ultraviolet Raman signal of the heroin sample is co...

Embodiment 2

[0071] Using the characteristic peak extraction method of this patent for low signal-to-noise ratio ultraviolet Raman spectrum to process the real-time ultraviolet Raman detection signals of acetaminophen tablets and cefixime dispersible tablets respectively, the acquisition method of real-time ultraviolet Raman signals And condition is consistent with embodiment 1. When the patent’s characteristic peak extraction method for ultraviolet Raman spectra with low signal-to-noise ratio is implemented in acetaminophen tablets, the absolute value threshold of the slope at the left end of the interval selected in step 1 is 35, and the ratio of the standard deviation to the average value in step 2 The threshold value of is 0.175, the initialization value of sigma_r in step 3 is selected as 0.04, and Smin is selected as 0.016. When the characteristic peak extraction method of this patent for low signal-to-noise ratio ultraviolet Raman spectrum is implemented in cefixime dispersible tabl...

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Abstract

The invention discloses a method for extracting characteristic peaks of ultraviolet Raman spectra with low signal-to-noise ratio, belonging to the field of spectrum detection and spectrum processing technology and signal processing. The invention collects ultraviolet Raman signals in real time, performs statistics on collected Raman signal data, and predicts the effective peak value of Raman signals. Each frame of Raman spectrum collected is processed, and for each frame of Raman spectrum, each frame of Raman spectrum is divided into various regions through the obtained effective trough, and the properties of each segmented region are judged separately . For each noise region, let each point be equal to the minimum value of the region, and then merge the Raman signal region and the processed noise region. Afterwards, the processed N+1 frame spectra are spliced ​​into a 2D image along the time axis, and the 2D image is filtered through an iterative bilateral filtering method. After filtering, the N+1 spectra are superimposed and normalized along the time axis. Obtain clean Raman characteristic peak spectral images.

Description

technical field [0001] The invention relates to a method for extracting characteristic peaks of ultraviolet Raman spectra with low signal-to-noise ratio, in particular to a method for obtaining clean and effective Raman characteristic peak images for real-time low signal-to-noise ratio ultraviolet Raman signals, which belongs to the spectrum Detection and spectral processing techniques as well as the field of signal processing. Background technique [0002] Raman spectroscopy is a non-destructive spectroscopic detection method based on inelastic light scattering (i.e., changes in the energy / frequency of the incident laser light) from laser-matter interactions. By measuring the specific Raman spectrum (Raman fingerprint) of the molecular system to be tested, the sample can be quickly, simply, and repeatably non-contact non-destructive testing and quantitative analysis, with short time required, small amount of sample, and accurate measurement results Features. However, the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G01N21/65
CPCG01N21/65G06F2218/14G06F2218/10G06F2218/04
Inventor 何玉青郭一新金伟其赵曼
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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