Method for identifying Chinese herbal medicines by using THz-TDS combined with chemometrics

A chemometrics, Chinese herbal medicine technology, applied in the direction of color/spectral property measurement, etc., to achieve the effect of removing the influence of measurement noise and interfering signals

Active Publication Date: 2013-10-23
CAPITAL NORMAL UNIVERSITY
View PDF5 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is that it is difficult to identify and analyze Chinese herbal medicines with complex and unknown components using THz-TDS devices in the prior art, and then provide a method of using THz-TDS combined with chemometrics to identify Chinese herbal medicines, especially to identify the authenticity of rhubarb Methods

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for identifying Chinese herbal medicines by using THz-TDS combined with chemometrics
  • Method for identifying Chinese herbal medicines by using THz-TDS combined with chemometrics
  • Method for identifying Chinese herbal medicines by using THz-TDS combined with chemometrics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] In this embodiment, THz-TDS combined with chemometrics is used to identify rhubarb, wherein the absorption coefficient spectrum is preprocessed by using automatic adjustment combined with EOSC method, which includes the following steps:

[0042] (1) 41 rhubarb samples provided by the Scientific Research Institute of Beijing Tongrentang Co., Ltd. were used to establish the model, of which 17 were authentic rhubarb and 24 were non-authentic rhubarb; the preparation methods of the 41 rhubarb samples were exactly the same, and the preparation of each rhubarb sample The steps are: (a) drying the rhubarb sample and pulverizing it into a 60-mesh powder; (b) vacuum-drying the powder again, taking a certain amount of sample and transferring it to an agate mortar for grinding to obtain a fine powder; (c ) Finally, under a pressure of 6.5t, the fine powder is made into a thin slice with a diameter of 13mm and a thickness of 0.9-1.2mm as the rhubarb sample to be tested. The two surf...

Embodiment 2

[0086] This embodiment adopts the same pretreatment method as in Example 1, the same self-service Latin partition method for division, and the same least squares support vector machine method to establish a qualitative analysis model to use THz-TDS in combination with chemometrics for rhubarb. Identification, the only difference is that Embodiment 1 uses automatic adjustment in combination with the EOSC method to preprocess the absorption coefficient spectra of the training set samples and the verification set samples, while this embodiment uses Savitzky-Golay five-point cubic polynomial smoothing (also known as S-G smoothing) combined with the EOSC method to preprocess the absorption coefficient spectrum.

[0087] Analysis of the results, such as figure 2 Shown is the relationship diagram between the correct identification rate of the rhubarb sample in this embodiment and the number of corrected main factors, wherein the solid line shows the variation of the actual measured ...

Embodiment 3

[0092] This example uses the same pretreatment method and the same qualitative analysis model as Example 1 to identify rhubarb by using THz-TDS combined with chemometrics. The difference is: (1) Example 1 uses 41 samples to establish model to complete the sample identification, and in this embodiment, 11 samples are used to establish a model to complete the sample identification; (2) Embodiment 1 uses the self-service Latin partition method to divide the absorption coefficient spectrum of the rhubarb sample, and this embodiment uses the existing The stochastic method in the technology divides the absorption coefficient spectrum of rhubarb samples, and the results show that when the number of corrected main factors is 12, the maximum correct rate of identification is 91.82±2.61%.

[0093] As shown in Table 3, when the number of correction factors is 12, the relevant data of the identification accuracy rate of the method of this embodiment is shown.

[0094] Table 3 The results ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

PropertyMeasurementUnit
thicknessaaaaaaaaaa
Login to view more

Abstract

The invention relates to a method for identifying Chinese herbal medicines by using THz-TDS combined with chemometrics, which mainly comprises the following steps: carrying out detection on a Chinese herbal medicine sample by using the THz-TDS so as to obtain a terahertz time domain spectroscopy, and after the terahertz time domain spectroscopy is subjected to Fourier transform and calculated by using Timothy and Duvillaret methods, obtaining an absorption coefficient spectrum, and dividing the absorption coefficient spectrum into a training-set sample and a validating-set sample absorption coefficient spectrum; carrying out preprocessing on the training-set sample and the validating-set sample absorption coefficient spectrum by using an orthogonal signal correction method; establishing a qualitative analysis model by using the least squares support vector machine (SVM) method according to the training-set sample and the validating-set sample absorption coefficient spectrum so as to carry out identification on the Chinese herbal medicine sample. The method disclosed by the invention is simple, pollution-free, capable of rapidly and accurately carrying out nondestructive identification on the Chinese herbal medicines, and applicable to the quality control in the process of Chinese herbal medicine production, and the identification accuracy of the method can reach 97.84+ / -1.62%.

Description

technical field [0001] The invention relates to a method for identifying Chinese herbal medicines by using THz-TDS combined with chemometrics, and belongs to the technical field of identification and analysis of Chinese herbal medicines. Background technique [0002] As Chinese medicine and Chinese medicine theories gradually go abroad and attract the attention of the world, people's desire to explore the principles of Chinese medicine and Chinese medicine is becoming stronger and stronger, and research methods are gradually enriched. However, there have been more and more counterfeit and inferior Chinese herbal medicine products flooding the market, which not only affects the therapeutic effect but also restricts the further development of traditional Chinese medicine. In recent years, with the increase in actual production needs and the rapid development of modern science, the identification methods of Chinese herbal medicines have also been perfected day by day, mainly fo...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/35
Inventor 张卓勇汪景荣
Owner CAPITAL NORMAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap