CN107655847A - For the difficult method that Visualization is carried out using infrared spectrum for differentiating Chinese herbal medicine - Google Patents
For the difficult method that Visualization is carried out using infrared spectrum for differentiating Chinese herbal medicine Download PDFInfo
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- CN107655847A CN107655847A CN201711147237.2A CN201711147237A CN107655847A CN 107655847 A CN107655847 A CN 107655847A CN 201711147237 A CN201711147237 A CN 201711147237A CN 107655847 A CN107655847 A CN 107655847A
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- 241000411851 herbal medicine Species 0.000 title claims abstract description 48
- 238000002329 infrared spectrum Methods 0.000 title claims abstract description 14
- 238000000034 method Methods 0.000 title claims abstract description 14
- 238000012800 visualization Methods 0.000 title claims abstract description 13
- 238000001514 detection method Methods 0.000 claims abstract description 4
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 7
- 230000004069 differentiation Effects 0.000 abstract description 3
- 239000003814 drug Substances 0.000 description 16
- 229940079593 drug Drugs 0.000 description 5
- 238000001228 spectrum Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 4
- 239000000126 substance Substances 0.000 description 4
- 238000000701 chemical imaging Methods 0.000 description 3
- 229940126678 chinese medicines Drugs 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 239000002398 materia medica Substances 0.000 description 2
- 238000004611 spectroscopical analysis Methods 0.000 description 2
- 239000003390 Chinese drug Substances 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 208000004880 Polyuria Diseases 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 239000004480 active ingredient Substances 0.000 description 1
- 230000000844 anti-bacterial effect Effects 0.000 description 1
- 230000001754 anti-pyretic effect Effects 0.000 description 1
- 230000000259 anti-tumor effect Effects 0.000 description 1
- 230000000840 anti-viral effect Effects 0.000 description 1
- 239000002221 antipyretic Substances 0.000 description 1
- 230000002567 autonomic effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000006837 decompression Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000035619 diuresis Effects 0.000 description 1
- 238000007877 drug screening Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011017 operating method Methods 0.000 description 1
- 230000010415 tropism Effects 0.000 description 1
- 239000011800 void material Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
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- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Medicines Containing Plant Substances (AREA)
Abstract
The present invention relates to field of Chinese herbal medicine technology, and in particular to a kind of for the difficult method that Visualization is carried out using infrared spectrum for differentiating Chinese herbal medicine, it uses following method and step:Step 1:The Chinese herbal medicine being difficult to differentiate between is chosen into identical weight respectively, forms Chinese herbal medicine sample, it is to be checked;Step 2:Using infrared spectrometer, to the Chinese herbal medicine sample to be detected in step 1, detection one by one forms ir data;Step 3:The each ir data that will be formed in step 2, is inputted into computer, and using the matlab R2010b programs in computer, ir data is converted into image;It carries out Visualization to the Chinese herbal medicine infrared spectrum being difficult to differentiate between, and is programmed using matlab R2010b, ir data is converted into image, so as to intuitively be distinguished;It has the advantages that differentiation speed is fast, and cost is low, efficiency high.
Description
【Technical field】
The present invention relates to field of Chinese herbal medicine technology, and in particular to a kind of to differentiate entering using infrared spectrum for Chinese herbal medicine for difficult
The method of row Visualization.
【Background technology】
Chinese medicine refers to the theoretical system and application form for using traditional Chinese medical theory as guidance, having uniqueness, for preventing and controlling
Disease and natural drug and its processing substitute with rehabilitation and health-care effect are treated, mainly including autonomic drug, animal drugs, mineral
Medicine.
The modern study of Chinese medicine achieves progress of attracting attention mostly:1. the basic theories of Chinese medicine has obtained system, arranged comprehensively,
Numerous studies have been made to the property of medicine, channel tropism, eighteen incompatibilities etc..2. pharmacognosy and the science of identification of Chinese materia medica, except general next in terms of Chinese traditional medicine identification
Outside source, Characters Identification, also generally using means such as micro-, physics and chemistry.And identification technology reaches rapid, accurate to a small amount of inspection product
True direction is developed.3. by the modern study of Chinese medicine preparation technology and principle, the science of Chinese drug processing has obtained larger development.With
This is corresponding, processing to many Chinese medicines, has made improvement and specification, and employs many advanced equipment and technology, improves drink
Tablet quality.4. establishing Chemistry for Chinese Traditional Medicine, the chemical composition of Chinese medicine is conducted extensive research.Most conventional Chinese medicines specify that master
Active ingredient is wanted, has partly understood fully chemical constitution.5. establish pharmacology of Chinese materia medica.Pharmacology to most conventional Chinese medicines is
System research;Antibacterial, antiviral, antitumor, antipyretic, diuresis, decompression etc. have carried out high amount of drug screening.
But in the differentiation of Chinese herbal medicine, it presently, there are following problem:The differentiation of traditional Chinese herbal medicine is mainly in shape, taste
On distinguished, utilize books control or traditional Chinese physician experience judge.But when the Chinese herbal medicine to being difficult to differentiate between makes a distinction
When, more time and efforts is often spent, causes operating efficiency low.
【The content of the invention】
In view of the defects and deficiencies of the prior art, the present invention intends to provide red for the difficult utilization for differentiating Chinese herbal medicine
The method that external spectrum carries out Visualization, it carries out Visualization to the Chinese herbal medicine infrared spectrum being difficult to differentiate between, utilized
Matlab R2010b are programmed, and ir data are converted into image, so as to intuitively be distinguished;It is fast with speed is distinguished,
Cost is low, the advantages that efficiency high.
Method that Visualization is carried out using infrared spectrum of the present invention for difficult resolution Chinese herbal medicine, it is used
Following method and step:
Step 1:The Chinese herbal medicine being difficult to differentiate between is chosen into identical weight respectively, forms Chinese herbal medicine sample, it is to be checked;
Step 2:Using infrared spectrometer, to the Chinese herbal medicine sample to be detected in step 1, detection one by one is formed infrared
Spectroscopic data;
Step 3:The each ir data that will be formed in step 2, is inputted into computer, using in computer
Matlab R2010b programs, image is converted into by ir data;
Step 4:Matlab R2010b programs in computer in step 3 are as follows:
clc;clear all
Fid=fopen (' E:\Data1.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,1)
I=mat2gray (C);
imagesc(I);
clc;clear all
Fid=fopen (' E:\Data2.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,2)
I=mat2gray (C);
imagesc(I);
clc;clear all
Fid=fopen (' E:\Data3.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,3)
I=mat2gray (C);
imagesc(I);
clc;clear all
Fid=fopen (' E:\Data4.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,4)
I=mat2gray (C);
imagesc(I);
clc;clear all
Fid=fopen (' E:\Data5.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,5)
I=mat2gray (C);
imagesc(I);
Step 5:What it is to the formation in step 3 is respectively that the view data of Chinese herbal medicine contrasts, and is then drawn corresponding
Chinese herbal medicine title.
After said structure, the present invention has the beneficial effect that:It is of the present invention red for the difficult utilization for differentiating Chinese herbal medicine
The method that external spectrum carries out Visualization, it carries out Visualization to the Chinese herbal medicine infrared spectrum being difficult to differentiate between, utilized
Matlab R2010b are programmed, and ir data are converted into image, so as to intuitively be distinguished;It is fast with speed is distinguished,
Cost is low, the advantages that efficiency high.
【Brief description of the drawings】
Accompanying drawing described herein be for providing a further understanding of the present invention, forming the part of the application, but
Inappropriate limitation of the present invention is not formed, in the accompanying drawings:
Fig. 1 is the present invention for the image graph after the red-light spectrum data conversion of the Chinese medicine of five kinds of different sources.
【Embodiment】
The present invention is described in detail below in conjunction with accompanying drawing and specific embodiment, illustrative examples therein and is said
It is bright to be only used for explaining the present invention but not as a limitation of the invention.
The side that Visualization is carried out using infrared spectrum for difficult resolution Chinese herbal medicine described in present embodiment
Method, it uses following method and step:
Step 1:The Chinese herbal medicine being difficult to differentiate between is chosen into identical weight respectively, forms Chinese herbal medicine sample, it is to be checked;
Step 2:Using infrared spectrometer, to the Chinese herbal medicine sample to be detected in step 1, detection one by one is formed infrared
Spectroscopic data;
Step 3:The each ir data that will be formed in step 2, is inputted into computer, using in computer
Matlab R2010b programs, image is converted into by ir data;
Step 4:Matlab R2010b programs in computer in step 3 are as follows:
clc;clear all
Fid=fopen (' E:\Data1.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,1)
I=mat2gray (C);
imagesc(I);
clc;clear all
Fid=fopen (' E:\Data2.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,2)
I=mat2gray (C);
imagesc(I);
clc;clear all
Fid=fopen (' E:\Data3.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,3)
I=mat2gray (C);
imagesc(I);
clc;clear all
Fid=fopen (' E:\Data4.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,4)
I=mat2gray (C);
imagesc(I);
clc;clear all
Fid=fopen (' E:\Data5.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,5)
I=mat2gray (C);
imagesc(I);
Step 5:What it is to the formation in step 3 is respectively that the view data of Chinese herbal medicine contrasts, and is then drawn corresponding
Chinese herbal medicine title.
The present invention is exemplified below:
It is as follows for the Chinese medicine in five kinds of different places of production, its operating procedure:
(1) by the Chinese medicine in five kinds of different places of production, identical weight is chosen, five parts of Chinese herbal medicine samples is formed, is numbered:
Chinese herbal medicine sample a-- samples e.
(2) by Chinese herbal medicine sample a- sample e, detected respectively by infrared spectrometer, it is red to form corresponding five groups
External spectrum data, are numbered:Chinese herbal medicine infrared data a-- Chinese herbal medicine infrared data e, data text is formed, can be named as
data1.txt、data2.txt...data5.txt;
(3) by five groups of ir datas in step (2):Chinese herbal medicine infrared data a-- Chinese herbal medicine infrared data e, point
Do not input into computer;
(4) programmed by the matlab R2010b in computer, reading data1.txt,
Data2.txt...data5.txt, ir data is converted into image, forms five kinds of Chinese herbal medicines as shown in Figure 1
Infrared spectroscopic imaging;
(5) infrared spectroscopic imaging of five kinds of Chinese herbal medicines in step (4), can distinguish different sources, so as to convenient point
Distinguish and distinguish, and form spectrum data, form the Chinese herbal medicine infrared spectroscopic imaging large database concept that can be contrasted.
Advantages of the present invention is as follows:
The present invention carries out visualization processing using infrared spectrum, and different sources Chinese herbal medicine can be shown to infrared Absorption characteristic
Slight change, with intuitively image format, show the content and relation expressed by data vividly, directly enhance
Understanding and analysis to information.
The infrared spectrum that the present invention uses can be as a kind of effective means of traditional Chinese medicine research, the void available for structure Chinese herbal medicine
Intend chemical fingerprint, so as to provide a new effective way to solve the identification problem of complicated chemical substance system.With
The raising of equipment and instrument performance and the progress of related stoichiometric method, infrared spectrum technology will have in the analysis of Chinese herbal medicines field
Broader development prospect.
Described above is only the better embodiment of the present invention, therefore all according to sign and principle described in present patent application scope
The equivalent change or modification done, is included in the range of present patent application.
Claims (1)
1. for the difficult method that Visualization is carried out using infrared spectrum for differentiating Chinese herbal medicine, it is characterised in that:It is using such as
Under method and step:
Step 1:The Chinese herbal medicine being difficult to differentiate between is chosen into identical weight respectively, forms Chinese herbal medicine sample, it is to be checked;
Step 2:Using infrared spectrometer, to the Chinese herbal medicine sample to be detected in step 1, detection one by one forms infrared spectrum
Data;
Step 3:The each ir data that will be formed in step 2, is inputted into computer, using in computer
Matlab R2010b programs, image is converted into by ir data;
Step 4:Matlab R2010b programs in computer in step 3 are as follows:
clc;clear all
Fid=fopen (' E:\Data1.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,1)
I=mat2gray (C);
imagesc(I);
clc;clear all
Fid=fopen (' E:\Data2.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,2)
I=mat2gray (C);
imagesc(I);
clc;clear all
Fid=fopen (' E:\Data3.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,3)
I=mat2gray (C);
imagesc(I);
clc;clear all
Fid=fopen (' E:\Data4.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,4)
I=mat2gray (C);
imagesc(I);
clc;clear all
Fid=fopen (' E:\Data5.txt');
B=textscan (fid, ' %f');
C=[B { 1 }];
subplot(2,2,5)
I=mat2gray (C);
imagesc(I);
Step 5:What it is to the formation in step 3 is respectively that the view data of Chinese herbal medicine contrasts, then draw it is corresponding in
Herbal medicine title.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108572150A (en) * | 2018-04-16 | 2018-09-25 | 成都大学 | A method of atriphos and bacterial population in sausage are detected based on EO-1 hyperion |
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