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CN-122016758-A - Method for identifying traditional Chinese medicine production places based on Raman spectrum

CN122016758ACN 122016758 ACN122016758 ACN 122016758ACN-122016758-A

Abstract

The invention belongs to the technical field of Raman spectrum, relates to detection of traditional Chinese medicinal materials, and particularly relates to a method for identifying a traditional Chinese medicinal material producing area based on Raman spectrum. Preparing traditional Chinese medicinal materials to be measured into traditional Chinese medicinal material powder, adding the traditional Chinese medicinal material powder into water, carrying out ultrasonic treatment and standing to obtain supernatant with a Tyndall effect as a sample to be measured, detecting the sample to be measured by adopting Raman spectrum to obtain original Raman spectrum data, sequentially carrying out residual error treatment and residual error smoothing treatment on the original Raman spectrum data, and identifying the production place of the traditional Chinese medicinal materials to be measured according to the result of the residual error smoothing treatment. The identification method provided by the invention can realize the classification effect by using a model with simple foundation, is simple and quick in detection operation, and has the advantages of high accuracy, good reproducibility and the like.

Inventors

  • NIE LEI
  • LI JUAN
  • ZANG HENGCHANG
  • LI LIAN
  • SUN YUE
  • Sang Mengjiao
  • LI YUTING

Assignees

  • 山东大学

Dates

Publication Date
20260512
Application Date
20260225

Claims (10)

  1. 1. A method for identifying a traditional Chinese medicine production place based on Raman spectrum is characterized by comprising the following steps: Preparing traditional Chinese medicinal materials to be tested into traditional Chinese medicinal material powder, adding the traditional Chinese medicinal material powder into water, performing ultrasonic treatment, standing, and obtaining supernatant with a Tyndall effect as a sample to be tested; detecting the sample to be detected by adopting Raman spectrum to obtain original Raman spectrum data; And sequentially carrying out residual error processing and residual error smoothing processing on the original Raman spectrum data, and identifying the production place of the traditional Chinese medicinal materials to be detected according to the result of the residual error smoothing processing.
  2. 2. The identification method as claimed in claim 1, comprising a process of establishing a model for identifying a place of origin of the Chinese medicinal materials, comprising the steps of: Preparing at least two Chinese medicinal materials in different producing areas into Chinese medicinal material powder respectively, adding the different Chinese medicinal material powder into water respectively, performing ultrasonic treatment and standing to obtain supernatant with the Tyndall effect as a sample solution; Detecting the sample solution by adopting Raman spectrum to obtain original Raman spectrum data; And sequentially carrying out residual error processing and residual error smoothing processing on the original Raman spectrum data, and establishing a traditional Chinese medicine origin identification model according to the result of the residual error smoothing processing.
  3. 3. The method of claim 2, wherein the process of establishing a model of origin identification of a Chinese medicinal material further comprises detecting a standard solution of the Chinese medicinal material by raman spectroscopy, wherein the standard solution is a quality marker of the Chinese medicinal material.
  4. 4. The identification method according to claim 1, wherein the mass of the Chinese medicinal materials added per milliliter of water is 0.09-0.11 mg when preparing the sample to be detected.
  5. 5. The identification method as claimed in claim 1, wherein the time of the ultrasonic treatment is 25 to 35 minutes.
  6. 6. The identification method according to claim 1, wherein the time for standing after the ultrasonic treatment is 25 to 35 minutes.
  7. 7. The authentication method according to claim 1, wherein the model for performing the residual processing and the residual smoothing processing is a partial least squares discriminant or a support vector machine.
  8. 8. The authentication method of claim 1, wherein the residual smoothing is S-G smoothing.
  9. 9. The method of claim 1, wherein the Chinese medicinal material is cinnamon and/or wild chrysanthemum.
  10. 10. Use of the identification method according to any one of claims 1 to 9 for quality monitoring of Chinese medicinal materials.

Description

Method for identifying traditional Chinese medicine production places based on Raman spectrum Technical Field The invention belongs to the technical field of Raman spectrum, relates to detection of traditional Chinese medicinal materials, and particularly relates to a method for identifying a traditional Chinese medicinal material producing area based on Raman spectrum. Background The disclosure of this background section is only intended to increase the understanding of the general background of the invention and is not necessarily to be construed as an admission or any form of suggestion that this information forms the prior art already known to those of ordinary skill in the art. The identification method of traditional Chinese medicinal materials mainly depends on macroscopic features such as appearance, color, smell, texture and the like, tissue structure, cell morphology and the like under a microscope, and personal experience and subjective judgment of an identification expert. Common identification techniques of traditional Chinese medicinal materials include spectrometry, chromatography, mass spectrometry, DNA molecular identification, etc. The raman spectroscopy is a scattering spectroscopy based on molecular vibration-rotation energy level transition, which is essentially inelastic scattering of light, and energy loss (i.e., raman shift) occurs when photons collide with molecules, and the raman shift corresponds to the energy level difference of molecular vibration-rotation, so that relevant information about molecules of a substance can be obtained by analyzing the raman shift. In addition, the Raman spectrum has the characteristics of no damage, rapidness and strong fingerprint property, can realize nondestructive, high-resolution and in-situ analysis on chemical components and structures of substances, and has extremely wide application range. Raman spectroscopy is extremely sensitive to small changes in molecules. Medicinal materials with different production places and different growth environments have slight differences in the types and contents of secondary metabolites (such as alkaloids, flavonoids, saponins and the like). At present, the pretreatment of the traditional Chinese medicine sample is mainly carried out by adopting the Raman spectrum technology, wherein 1, the traditional Chinese medicine is prepared into powder for direct detection, 2, the traditional Chinese medicine is extracted, and the extracted sample is detected. However, the Raman spectrum technology identification by adopting the two sample pretreatment methods has the following difficulties that after the traditional Chinese medicine is prepared into powder, the powder contains a large amount of cellulose and other impurities, so that the signals detected by the Raman spectrum technology are extremely unstable and are relatively poor in reproduction, and the sample pretreatment method for extracting the traditional Chinese medicine has the defects of relatively complex process, relatively long time consumption and the like. Therefore, a method capable of realizing identification and classification of traditional Chinese medicinal materials with high accuracy and good reproducibility is needed. Disclosure of Invention In order to solve the defects of the prior art, the invention aims to provide the identification method of the traditional Chinese medicine origin based on Raman spectrum, the identification method provided by the invention can realize the classification effect by using a model (PLS-DA, SVM) with simple foundation, and the detection operation is simple, convenient and quick, and has the advantages of high accuracy, good reproducibility and the like. In order to achieve the above purpose, the technical scheme of the invention is as follows: a method for identifying a traditional Chinese medicine production place based on Raman spectrum comprises the following steps: Preparing traditional Chinese medicinal materials to be tested into traditional Chinese medicinal material powder, adding the traditional Chinese medicinal material powder into water, performing ultrasonic treatment, standing, and obtaining supernatant with a Tyndall effect as a sample to be tested; detecting the sample to be detected by adopting Raman spectrum to obtain original Raman spectrum data; And sequentially carrying out residual error processing and residual error smoothing processing on the original Raman spectrum data, and identifying the production place of the traditional Chinese medicinal materials to be detected according to the result of the residual error smoothing processing. The tyndall effect refers to the phenomenon that when a beam of light passes through a colloid (a dispersion of dispersoid particles having a diameter of between 1 and 100 nm), it is seen that the light forms a bright, clear optical path in the colloid as viewed in a direction perpendicular to the beam. When the sample solution produces a tyndall effec