CN104089921A - Method for identifying base source and origin place of herba epimedii medicinal material - Google Patents
Method for identifying base source and origin place of herba epimedii medicinal material Download PDFInfo
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- CN104089921A CN104089921A CN201410301718.4A CN201410301718A CN104089921A CN 104089921 A CN104089921 A CN 104089921A CN 201410301718 A CN201410301718 A CN 201410301718A CN 104089921 A CN104089921 A CN 104089921A
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Abstract
The invention discloses a method for identifying a base source and an origin place of a herba epimedii medicinal material. The method concretely comprises the following steps: preparing a herba epimedii test article, collecting spectral information, selecting a qualitative modeling algorithm, conducting spectrum preprocessing, establishing a herba epimedii base source qualitative model, and verifying the model, wherein a near infrared (NIR) spectrum technology is used as an indirect analysis technology. The method disclosed by the invention is applied to identification on the different base sources and different origin places of traditional Chinese medicine herba epimedii, and is free from complicated treatment to samples, simple and fast to operate, stable and reliable in results, especially applicable to mass production of traditional Chinese medicine enterprises, thus having strong market potential.
Description
Technical field
The invention belongs to Chinese traditional medicine identification field, be specifically related to the authentication method in a kind of epimedium herb Ji Yuan and the place of production.
Background technology
" Chinese Pharmacopoeia " version in 2010 is recorded: barrenwort is Berberidaceae plant barrenwort
epimedium brevicornumaxim., arrow leaf barrenwort
epimedium sagittatum(Sieb.et Zucc.) Maxim., pubescence barrenwort
epimedium pubescensor korean epimedium herb Maxim.
epimedium koreanumthe dry leaf of Nakai.Barrenwort is Chinese conventional Chinese medicine, has kidney-replenishing, strengthening the bones and muscles, and wines used as antirheumatic, for decline of kidney-YANG, impotence and seminal emission, muscles and bones impotence is soft, arthralgia due to wind-dampness, numbness contracture.Generally be born in the thick grass of hillside, in limit, ditch, sylvan life, shrubbery and in rock curb seam, at present not yet by artificial introducing and planting.
Traditional barrenwort authentication method is differentiated as experience discriminating, Microscopic Identification, physics and chemistry qualification and modern technologies, is all had limitation in various degree.Experience is differentiated and is subject to the impact of subjective factor larger, micro-discriminating and physics and chemistry discriminating operation more complicated, and Modern Methods is as high in costs such as chromatography, DNA molecular discriminatings, need to carry out separation and Extraction to medicinal material.Near infrared (Near Infrared, NIR) spectral technique be a kind of easy to use, analyze and fast, do not destroy the novel analytical technology of sample.This technology does not need sample to carry out chemical treatment, without with an organic solvent, can not produce any toxic waste.
4 species variations of barrenwort are less, and naked eyes and traditional micro-discriminating difficulty are large, labor intensive and material resources.And because the barrenwort place of production is many, so market confusion, good and bad mixed bundle, cannot effectively carry out market management.Can't harm, measure fast theory based on near-infrared spectrum technique, the present invention is applied near infrared (Near Infrared, NIR) spectral technique Ji Yuan qualification and the place of production qualification of Herba Epimedii.
Summary of the invention
The present invention is directed to prior art problem provides the authentication method in a kind of barrenwort base source authentication method and the place of production, can realize the qualification to epimedium herb Ji Yuan and the place of production, and concrete steps are:
1, test sample preparation:
Folium Epimedii and stem are pulverized respectively, cross sieve No. two, mix successively according to leaf: stem-8:0,7.6:0.4,7.2:0.8,6.8:1.2,6.4:1.6,6.0:2.0,5.6:2.4,5.2:2.8,4.8:3.2,4.4:3.6,4.0:4.0,3.6:4.4,3.2:4.8,2.8:5.2,2.4:5.6,2.0:6.0,1.6:6.4,1.2:6.8,0.8:7.2,0.4:7.6,0:8.
2, spectral information collection:
Every duplicate samples is packed in rotation quartz curette, shake up.Spectra collection condition: environment temperature is 28 DEG C, relative humidity 50% ~ 75%; Test sample mode: integrating sphere diffuse reflection, resolution 8 cm
-1, scanning wavelength scope 10 000 ~ 4 000cm
-1, scanning times is 64 times.Each sample repeats 3 times, calculates averaged spectrum.
3, the selection of qualitative modeling algorithm:
Select the discriminating qualutative model modeling algorithm of discriminatory analysis (Discriminant Analysis) as barrenwort Ji Yuan and the place of production.
4, spectrum pre-service:
1) select multicomponent signal correction (MSC) to process the sample spectrum diagram in the different Ji Yuan of barrenwort and the different places of production;
2) select " MSC+ second derivative+Norris Derivative " filtering to process the spectrogram information of the different Ji Yuan of barrenwort, different places of production sample.
5, set up the qualitative model of barrenwort:
1) selecting more succinct many discrimination models is the discrimination model in the different Ji Yuan of barrenwort and the different places of production;
2) barrenwort in clear and definite kind and the place of production is set up to qualitative discrimination model;
3) modelling verification: use the model of setting up to test ten parts of unknown samples, its result and physics and chemistry identification result compare, and investigate the practice effect of model.
In step 1,21 parts, the barrenwort sample of each Ji Yuan, four Ji Yuan amount to 84 duplicate samples, 21 parts, the barrenwort sample in each place of production, 14 place of production totally 294 duplicate samples.The agents area of " Chinese Pharmacopoeia " 2010 editions one regulation barrenwort is dry leaf, and the agents area of custom is the melange of stem and leaf in the market, therefore the present invention selects the different proportion potpourri of stem and leaf as test sample, differentiates to can be applied to the true and false of epimedium herb in market.
In step 5,4 kinds of base parent names and the code name of epimedium herb are respectively: barrenwort collection (1-1), korean epimedium herb collection (1-2), arrow leaf barrenwort collection (1-3), pubescence barrenwort collection (1-4); 14 places of production and the code name of epimedium herb are respectively: Mianyang, Sichuan (2-1), Sichuan Aba (2-2), Sichuan Palestine and China (2-3), Sichuan Meishan (2-4), Wanyuan, Sichuan (2-5), Sichuan double fluid (2-6), Sichuan Guangyuan (2-7), Qing Chuan, Sichuan (2-8), Guizhou (2-9), Henan (2-10), Haozhou, Anhui (2-11), Longnan of Gansu Province (2-12), Tianshui city (2-13), Anhui (2-14).
Near infrared (Near Infrared, NIR) spectral technique is as a kind of indirect analysis technology, the present invention is applied to this technology different Ji Yuan and the qualification of the different place of production of Herba Epimedii first, without sample is carried out to complex process, simple to operate, quick, result is reliable and stable, is particularly useful for the large production aspect of traditional Chinese medicine enterprise, has very strong market application potential.
brief description of the drawings
The different bases of Fig. 1 barrenwort source second derivative+Norris Derivative3D design sketch.
4 kinds of many discrimination models of Ji Yuan sample classification distribution plans of Fig. 2 barrenwort.
Fig. 3 barrenwort Ji Yuan qualification sample classification distribution 3D figure.
Fig. 4 barrenwort Ji Yuan qualification sample classification distribution plan.
The different place of production sample distribution 3D effect figure of Fig. 5 barrenwort.
Fig. 6 barrenwort place of production qualification sample classification distribution 3D figure.
Fig. 7 barrenwort place of production qualification sample classification distribution plan.
Embodiment
1. barrenwort base source identification research
According to the test method of barrenwort base source identification research in implementation content, use the mould of setting up to test ten parts of unknown samples, its result and physics and chemistry identification result compare, and investigate the practice effect of model.Result shows, the method can well identify the unknown sample of different Ji Yuan.Result is as table 1.
Ten parts of unknown sample test results of table 1
* mahalanobis distance (Mahalanobis distance): proposed by India statistician Mahalanobis (P. C. Mahalanobis), represent the covariance distance of data.It is the method for the similarity of two unknown sample collection of a kind of effective calculating.
2. barrenwort place of production identification research
According to the test method of barrenwort place of production identification research in implementation content, use the model of setting up to test ten parts of unknown samples, its result and physics and chemistry identification result compare, and investigate the practice effect of model.Result shows, the method can well identify the unknown sample in the different places of production.The results are shown in Table 2.
Ten parts of unknown sample test results of table 2
Claims (2)
1. the authentication method in epimedium herb Ji Yuan and the place of production, its concrete grammar is as follows: the preparation of barrenwort test sample, spectral information collection, selects qualitative modeling algorithm, and spectrum pre-service, sets up barrenwort base source qualutative model, modelling verification.
2. the authentication method in a kind of epimedium herb Ji Yuan according to claim 1 and the place of production, is characterized in that: the qualutative model in 4 kinds of base source qualutative models of barrenwort and 14 places of production of barrenwort.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110823828A (en) * | 2018-08-09 | 2020-02-21 | 中国科学院西北高原生物研究所 | Method for identifying Wumai green wormwood in different producing areas |
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| US20050142231A1 (en) * | 2003-12-29 | 2005-06-30 | Jiao Gong | Pharmaceutical activity and manufacturing method of the five-plant compound hypolipemic products |
| CN2804855Y (en) * | 2004-11-18 | 2006-08-09 | 复旦大学 | On-line, multi-channel near-infrared spectrograph for discriminating chinese herb medicines categories and localities |
| CN101021470A (en) * | 2007-03-13 | 2007-08-22 | 山东医学高等专科学校 | Method for Chinese patent drug fast qualitative analysis utilizing acousto-optic filter near infrared spectral technique |
| CN101446580A (en) * | 2008-12-31 | 2009-06-03 | 燕山大学 | Method for determining inherent chemical components of traditional Chinese medicinal material |
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2014
- 2014-06-30 CN CN201410301718.4A patent/CN104089921A/en active Pending
Patent Citations (4)
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| US20050142231A1 (en) * | 2003-12-29 | 2005-06-30 | Jiao Gong | Pharmaceutical activity and manufacturing method of the five-plant compound hypolipemic products |
| CN2804855Y (en) * | 2004-11-18 | 2006-08-09 | 复旦大学 | On-line, multi-channel near-infrared spectrograph for discriminating chinese herb medicines categories and localities |
| CN101021470A (en) * | 2007-03-13 | 2007-08-22 | 山东医学高等专科学校 | Method for Chinese patent drug fast qualitative analysis utilizing acousto-optic filter near infrared spectral technique |
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| CN110823828A (en) * | 2018-08-09 | 2020-02-21 | 中国科学院西北高原生物研究所 | Method for identifying Wumai green wormwood in different producing areas |
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Application publication date: 20141008 |