Method for identifying Chinese herbal medicine by using THz-TDS (terahertz-total dissolved solids) in combination with fuzzy rule expert system

An expert system and Chinese herbal medicine technology, applied in the direction of color/spectral characteristic measurement, etc., can solve the problems of large identification error, difficult identification and analysis of Chinese herbal medicine, complex and time-consuming information processing process, etc.

Inactive Publication Date: 2013-11-27
CAPITAL NORMAL UNIVERSITY
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Problems solved by technology

[0008] The technical problem to be solved by the present invention is that in the prior art, it is not only difficult to realize the identification and analysis of Chinese herbal medicines with complex and unknown components by using THz-TDS combined with least squares support vector machine, but also the terahertz time-domain spectrum of the sample must be converted into absorp

Method used

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  • Method for identifying Chinese herbal medicine by using THz-TDS (terahertz-total dissolved solids) in combination with fuzzy rule expert system
  • Method for identifying Chinese herbal medicine by using THz-TDS (terahertz-total dissolved solids) in combination with fuzzy rule expert system
  • Method for identifying Chinese herbal medicine by using THz-TDS (terahertz-total dissolved solids) in combination with fuzzy rule expert system

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Embodiment 1

[0043] In this embodiment, THz-TDS combined with fuzzy rule expert system is used to identify rhubarb, wherein Savitzky-Golay (S-G) first-order derivative combined with EOSC method is used to preprocess the time-domain spectrum, which includes the following steps:

[0044] (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...

Embodiment 2

[0082] In this embodiment, the same self-service Latin partitioning method as in Embodiment 1 is used for division, and the same fuzzy rule expert system is used to establish a qualitative analysis model, so as to use THz-TDS in conjunction with the fuzzy rule expert system to identify rhubarb. The difference is only in embodiment 1. The S-G first derivative combined with the EOSC method is used for preprocessing, and this embodiment uses the S-G first derivative combined with the PC-OSC method for preprocessing.

[0083] The PC-OSC method is generated by Harrington based on PCA, and is used to remove information irrelevant to the property matrix in the original spectral matrix, so as to achieve the purpose of spectral correction. The algorithm of the PC-OSC method is simple and easy to understand, and the calculation speed is fast. The specific algorithm of the PC-OSC method is as follows:

[0084] 1) Centralized raw data:

[0085] X 1 ...

Embodiment 3

[0101] This embodiment uses the same pretreatment method and the same qualitative analysis model as in Example 1 to identify the rhubarb by using THz-TDS in conjunction with the fuzzy rule expert system. In this example, the random method in the prior art is used to divide the rhubarb samples, and the results show that when the number of corrected main factors is 6, the maximum correct rate of identification is 93.64±0.52.

[0102] As shown in Table 3, the method of this embodiment shows the relevant data of the correct rate of identification when the number of corrected principal factors is 6.

[0103] Table 3 The results after processing by random method (the number of corrected main factors=6)

[0104]

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Abstract

The invention relates to a method for identifying Chinese herbal medicine by using THz-TDS (terahertz-total dissolved solids) in combination with a fuzzy rule expert system. The method mainly comprises the following steps: detecting the Chinese herbal medicine sample by using THz-TDS to obtain a terahertz time-domain spectroscopy, pretreating the terahertz time-domain spectroscopy, and dividing the terahertz time-domain spectroscopy to obtain a training set sample and a verification set sample, wherein the fuzzy rule expert system is used by the training set sample and the verification set sample to establish a qualitative analysis model so as to identify the Chinese herbal medicine sample. The method provided by the invention is simple and pollution-free, and easily realizes the automation; the Chinese herbal medicine can be fast and accurately identified in lossless, and the method is suitable for the quality control in the production process of the Chinese herbal medicine.

Description

technical field [0001] The invention relates to a method for identifying Chinese herbal medicines by using THz-TDS combined with a fuzzy rule expert system, 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 ...

Claims

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Application Information

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IPC IPC(8): G01N21/35
Inventor 张卓勇汪景荣
Owner CAPITAL NORMAL UNIVERSITY
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