Method for identifying Dendrobium aphyllum (Roxb.)C. E. Fisch., Dendrobium officinale Kimura et Migo and Dendrobium devonianum Paxt.

A technology of iron maple bucket and purple maple, applied in the field of identification, can solve the problems of deceptive sales, no-seeing, irresponsibility, etc.

Inactive Publication Date: 2013-08-14
LISHUI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

They took advantage of the magical health benefits of medicinal maple buckets and people's ignorance of "iron skin" maple buckets, and made maple buckets made of "purple skin", "yellow grass" and other varieties of maple bu

Method used

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  • Method for identifying Dendrobium aphyllum (Roxb.)C. E. Fisch., Dendrobium officinale Kimura et Migo and Dendrobium devonianum Paxt.
  • Method for identifying Dendrobium aphyllum (Roxb.)C. E. Fisch., Dendrobium officinale Kimura et Migo and Dendrobium devonianum Paxt.
  • Method for identifying Dendrobium aphyllum (Roxb.)C. E. Fisch., Dendrobium officinale Kimura et Migo and Dendrobium devonianum Paxt.

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Experimental program
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Effect test

Embodiment 1

[0032] 3. Spectral data preprocessing: Multiple data points are selected for each spectrum. In order to eliminate the spectral baseline drift and spectral bending, as well as the near-infrared absorption spectrum overlap caused by the mutual interference between different components contained in the sample, the derivative formula is used: ① First derivative formula: y=(x(i+Δ)-x(i)) / Δ;

[0033] Where: Δ is the spectral distance, x is the spectral absorbance before derivation, and y is the spectral absorbance after derivation;

[0034] 4. Establish the identification model: first, specify the category values ​​of the water grass maple bucket, the iron maple bucket and the purple maple bucket as 1, 2, and 3 respectively, and use the Matlab software to preprocess the The final spectrum value is the independent variable of the model, and the specified category is the dependent variable to establish the prediction models of water grass maple, iron maple and purple maple, and then pr...

Embodiment 2

[0045] 3. Spectral data preprocessing: Multiple data points are selected for each spectrum. In order to eliminate spectral baseline drift and spectral bending, as well as the near-infrared absorption spectrum overlap caused by the mutual interference between different components contained in the sample, the derivative formula is used: 2 Order derivative formula: y=(x(i+Δ)-2x(i)+x(i-Δ)) / Δ 2

[0046] Where: Δ is the spectral distance, x is the spectral absorbance before derivation, and y is the spectral absorbance after derivation;

[0047] 4. Establish the identification model: first, specify the category values ​​of the water grass maple bucket, the iron maple bucket and the purple maple bucket as 1, 2, and 3 respectively, and use the Matlab software to preprocess the The final spectrum value is the independent variable of the model, and the specified category is the dependent variable to establish the prediction models of water grass maple, iron maple and purple maple, and t...

Embodiment 3

[0056] 3. Spectral data preprocessing: Multiple data points are selected for each spectrum. In order to eliminate spectral baseline drift and spectral bending, as well as the near-infrared absorption spectrum overlap caused by the mutual interference between different components contained in the sample, the derivative formula is used: 1 Order derivative formula: y=(x(i+Δ)-x(i)) / Δ;

[0057] Where: Δ is the spectral distance, x is the spectral absorbance before derivation, and y is the spectral absorbance after derivation;

[0058] 4. Establish the identification model: first, specify the category values ​​of the water grass maple bucket, the iron maple bucket and the purple maple bucket as 1, 2, and 3 respectively, and use the Matlab software to preprocess the The final spectrum value is the independent variable of the model, and the specified category is the dependent variable to establish the prediction models of water grass maple, iron maple and purple maple, and then predic...

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Abstract

The invention discloses a method for identifying Dendrobium aphyllum (Roxb.)C. E. Fisch., Dendrobium officinale Kimura et Migo and Dendrobium devonianum Paxt. The method comprises the following steps of: firstly, sample processing, secondly, spectrum acquisition, thirdly, spectral data preprocessing, fourthly, establishing an identifying model, and fifthly, predicting and identifying the Dendrobium aphyllum (Roxb.)C. E. Fisch., Dendrobium officinale Kimura et Migo and Dendrobium devonianum Paxt. on the market. The method is a simple and effective method for identifying the Dendrobium aphyllum (Roxb.)C. E. Fisch., Dendrobium officinale Kimura et Migo and Dendrobium devonianum Paxt., and the identification accuracy rate reaches up to 100 percent.

Description

technical field [0001] The invention relates to a method for identifying medicinal materials, in particular to a method for identifying water-weed maple buckets, iron-pipe maple buckets and purple-pipe maple buckets. Background technique [0002] The processed dry product of authentic Tiepi Fengdou is called Tiepi Fengdou, and its medicinal ingredients are mainly Fengdou polysaccharide, Fengdou base and total amino acids. It can improve human immunity, enhance memory, nourish the five viscera, resist aging, inhibit tumors, improve diabetes symptoms, resist hypoxia, and have significant effects on radiotherapy and chemotherapy, night life, and excessive smoking and drinking. my country's first pharmacy monograph "Shen Nong's Materia Medica", called Fengdou the top grade, considered it a good nourishing product, and suitable for long-term use, "replenishing the five viscera for deficiency, fatigue and thinness", Li Shizhen emphasized in "Compendium of Materia Medica" that Feng...

Claims

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Application Information

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IPC IPC(8): G01N21/35G01N1/28G01N21/3563G01N21/359
Inventor 张龙赵鹂梁巧玲
Owner LISHUI UNIV
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