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Rapid identification method for turmeric traditional Chinese medicine by combining electronic nose with LightGBM

An identification method and electronic nose technology, which are applied in the directions of analyzing gas mixtures, measuring devices, instruments, etc., can solve the problems of difficult identification of traditional Chinese medicines such as turmeric, achieve good application prospects and promotion value, and solve problems with strong subjectivity and rapid acquisition. Effect

Inactive Publication Date: 2021-09-24
BEIJING UNIV OF CHINESE MEDICINE
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on the above, the main objective of the present invention is to construct a rapid identification method of curcuma traditional Chinese medicine based on electronic nose combined with LightGBM, so as to effectively solve the problem of difficult identification of curcuma traditional Chinese medicine in the prior art

Method used

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  • Rapid identification method for turmeric traditional Chinese medicine by combining electronic nose with LightGBM
  • Rapid identification method for turmeric traditional Chinese medicine by combining electronic nose with LightGBM
  • Rapid identification method for turmeric traditional Chinese medicine by combining electronic nose with LightGBM

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] Treatment of experimental materials: Take samples of turmeric traditional Chinese medicines, pulverize them with a pulverizer until they pass through a No. 4 sieve, and set aside.

[0025] Electronic nose analysis condition parameters: including weighing sample volume, incubation temperature, incubation time, injection volume, etc. The specific parameters are: Precisely weigh 0.3g of the sample powder and put it into a 10mL headspace sampling bottle, repeat each sample 5 times, set the incubation temperature of the autosampler at 35°C, and the stirring speed at 250r min -1 , the incubation time is 360s, the carrier gas of the electronic nose is synthetic dry air, the injection volume is 1500μL, the injection temperature is 45°C, the data acquisition time is 120s, the acquisition period is 1s, and the purge time is 600s.

[0026] Feature extraction: The odor fingerprint includes the response signals of the 1st-120s sensor of 12 sensors, and the maximum response value is ...

Embodiment 2

[0029] Experimental materials: A total of 47 samples of Curcuma were used in the experiment, including 6 parts of curcuma, 7 parts of turmeric, 4 parts of turmeric and 29 parts of curcuma.

[0030] Electronic nose equipment: The electronic nose equipment is α-FOX3000 (French Alpha M.O.S.), which is composed of HS-100 automatic headspace sampler, 12 metal oxide sensor arrays and air generators, equipped with data processing software Alpha SOFT V11.

[0031] Electronic nose measurement parameter setting: autosampler incubation temperature 35°C, stirring speed 250r min -1 , the incubation time is 360s, the injection volume is 1500μL, the injection temperature is 45°C, the data acquisition time is 120s, the acquisition period is 1s, and the purge time is 600s. A total of 235 groups of odor information data were collected, and the obtained odor fingerprints were as follows: figure 2 shown.

[0032] Odor fingerprint collection: Take a sample of turmeric traditional Chinese medici...

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Abstract

The invention discloses a rapid identification method for turmeric traditional Chinese medicines based on combination of an electronic nose and LightGBM. The identification method comprises the following steps of collecting smell fingerprints of turmeric traditional Chinese medicines such as radix curcumae, turmeric, rhizoma wenyujin concisum and curcuma zedoary by using the electronic nose; extracting the maximum response value of each sensor in the smell fingerprint as a characteristic index; constructing a LightGBM classification model based on the maximum response value of the electronic nose, optimizing the number of decision trees, the learning rate, the maximum depth, a first-order regular term coefficient, a second-order regular term coefficient and a loss function of the LightGBM classification model by using a grid search method, and evaluating performance of the model through ten-fold cross validation; and finally, detecting a to-be-detected sample by utilizing the classification model. The method can realize rapid and accurate identification of curcuma traditional Chinese medicines such as radix curcumae, turmeric, curcuma zedoary and zedoary wenyujin concisum, can effectively solve a problem of difficult identification of curcuma traditional Chinese medicines, ensures accuracy of clinical medication, and has good application prospects and popularization values in rapid identification of traditional Chinese medicines.

Description

technical field [0001] The invention belongs to the technical field of traditional Chinese medicine detection, and in particular relates to a rapid identification method for traditional Chinese medicine of the genus Curcuma based on an electronic nose combined with LightGBM. Background technique [0002] Curcuma genus traditional Chinese medicine includes turmeric, turmeric, sliced ​​turmeric and Zezhu. It has a long history of medicinal use and is a commonly used traditional Chinese medicine for promoting blood circulation and removing blood stasis. However, turmeric, turmeric, sliced ​​turmeric and zedoary all come from the underground part of the genus Curcuma in the family Zingiberaceae, and they have similarities in shape, character, composition and function. There are many product names, prescription names, and aliases formed, and there are phenomena of the same name and different substances, and the same substance with different names, which is easy to be confused in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/00G06K9/62
CPCG01N33/0001G01N33/0004G06F18/214
Inventor 闫永红拱健婷邹慧琴李佳慧洪伟峰翟恩爱
Owner BEIJING UNIV OF CHINESE MEDICINE
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