CN107991260A - The method for building up of the near-infrared qualitative model of Gegen Qinlian preparation - Google Patents
The method for building up of the near-infrared qualitative model of Gegen Qinlian preparation Download PDFInfo
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- CN107991260A CN107991260A CN201711057086.1A CN201711057086A CN107991260A CN 107991260 A CN107991260 A CN 107991260A CN 201711057086 A CN201711057086 A CN 201711057086A CN 107991260 A CN107991260 A CN 107991260A
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- 238000000034 method Methods 0.000 title claims abstract description 50
- 238000002360 preparation method Methods 0.000 title claims abstract description 25
- 230000003595 spectral effect Effects 0.000 claims abstract description 28
- 239000008188 pellet Substances 0.000 claims abstract description 17
- 238000004611 spectroscopical analysis Methods 0.000 claims abstract description 14
- 238000004513 sizing Methods 0.000 claims abstract description 11
- 238000003672 processing method Methods 0.000 claims abstract description 9
- 238000001228 spectrum Methods 0.000 claims description 24
- 239000008838 gegenqinlian Substances 0.000 claims description 16
- 238000012360 testing method Methods 0.000 claims description 12
- 238000002329 infrared spectrum Methods 0.000 claims description 11
- 235000014676 Phragmites communis Nutrition 0.000 claims description 9
- 238000010606 normalization Methods 0.000 claims description 8
- 235000010575 Pueraria lobata Nutrition 0.000 claims description 7
- 238000009795 derivation Methods 0.000 claims description 6
- 241000219780 Pueraria Species 0.000 claims description 4
- 238000012797 qualification Methods 0.000 claims description 4
- 239000000843 powder Substances 0.000 claims description 3
- 239000011805 ball Substances 0.000 claims 7
- 241000219781 Pueraria montana var. lobata Species 0.000 claims 1
- 239000011806 microball Substances 0.000 claims 1
- 239000003153 chemical reaction reagent Substances 0.000 abstract description 5
- 238000003912 environmental pollution Methods 0.000 abstract description 4
- 239000000523 sample Substances 0.000 description 43
- 239000003814 drug Substances 0.000 description 9
- 238000005516 engineering process Methods 0.000 description 7
- 244000046146 Pueraria lobata Species 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000012795 verification Methods 0.000 description 3
- 235000002991 Coptis groenlandica Nutrition 0.000 description 2
- 244000247747 Coptis groenlandica Species 0.000 description 2
- 244000303040 Glycyrrhiza glabra Species 0.000 description 2
- 235000006200 Glycyrrhiza glabra Nutrition 0.000 description 2
- 235000017443 Hedysarum boreale Nutrition 0.000 description 2
- 235000007858 Hedysarum occidentale Nutrition 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 208000001848 dysentery Diseases 0.000 description 2
- 239000001947 glycyrrhiza glabra rhizome/root Substances 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000004451 qualitative analysis Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- JBRZTFJDHDCESZ-UHFFFAOYSA-N AsGa Chemical compound [As]#[Ga] JBRZTFJDHDCESZ-UHFFFAOYSA-N 0.000 description 1
- 208000004429 Bacillary Dysentery Diseases 0.000 description 1
- 244000025254 Cannabis sativa Species 0.000 description 1
- 241000721047 Danaus plexippus Species 0.000 description 1
- 206010012735 Diarrhoea Diseases 0.000 description 1
- 208000004232 Enteritis Diseases 0.000 description 1
- 206010017915 Gastroenteritis shigella Diseases 0.000 description 1
- 101100125839 Xenopus laevis inka1-a gene Proteins 0.000 description 1
- 238000000862 absorption spectrum Methods 0.000 description 1
- 230000001142 anti-diarrhea Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229940126678 chinese medicines Drugs 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005670 electromagnetic radiation Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 238000004128 high performance liquid chromatography Methods 0.000 description 1
- 229910052739 hydrogen Inorganic materials 0.000 description 1
- 125000004435 hydrogen atom Chemical group [H]* 0.000 description 1
- 229910052738 indium Inorganic materials 0.000 description 1
- APFVFJFRJDLVQX-UHFFFAOYSA-N indium atom Chemical compound [In] APFVFJFRJDLVQX-UHFFFAOYSA-N 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 230000001717 pathogenic effect Effects 0.000 description 1
- 239000000825 pharmaceutical preparation Substances 0.000 description 1
- 238000011197 physicochemical method Methods 0.000 description 1
- 206010036067 polydipsia Diseases 0.000 description 1
- 201000005113 shigellosis Diseases 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
Classifications
-
- 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
Abstract
The invention discloses the method for building up of the near-infrared qualitative model of Gegen Qinlian preparation, the Gegen Qinlian preparation includes Gegen Qinlian Tablets and Gegen Qinlian ball or pellet；This method includes：（1）The near-infrared of collecting sample（NIR）Spectroscopic data；（2）Determine modeling sample data and pre-processed；（3）Determine modeling parameters：Include the processing method of spectral coverage, CI limits, preprocess method and spectroscopic data；（4）Establish near-infrared sizing parting model；（5）Model is verified：The sample for having neither part nor lot in modeling is taken, is differentiated with the near-infrared sizing parting model established.The near-infrared qualitative model of Gegen Qinlian preparation of the present invention, basically reaches the requirement examined soon soon sieve, and available for primary dcreening operation and the true and false of discrimination kind, and purposive to sample can efficiently separate；It is high with accuracy rate, it is easy to operate quick, it is efficient, and cost is relatively low, does not destroy sample, do not consume chemical reagent, it is free from environmental pollution the advantages that.
Description
Technical field
The invention belongs to traditional Chinese medicine research technical field, and in particular to the near-infrared sizing analytical technology of Gegen Qinlian preparation,
The specifically method for building up of the near-infrared qualitative model of Gegen Qinlian preparation.
Background technology
Gegen Qinlian preparation, including Gegen Qinlian Tablets, Gegen Qinlian ball and GEGEN QINLIAN DIWAN etc..For heat-clearing formula, have
The effect of expelling pathogenic factors from muscles for clearing heat, antidiarrheal stop dysentery, cure mainly dysentery, the hot polydipsia of body, diarrhea is smelly dirty；Bacillary dysentery, enteritis.《Chinese Pharmacopoeia》
In versions in 2010, Gegen Qinlian Tablets are consistent with the prescription of Gegen Qinlian ball or pellet, by pueraria lobata, radix scutellariae, the coptis, honey-fried licorice root etc.
Four traditional Chinese medicine forms：Pueraria lobata 1000g, radix scutellariae 375g, coptis 375g, honey-fried licorice root 250g.
Near infrared spectrum (Near Infrared Spectrum, NIR) be between visible ray (Vis) and in infrared (MIR)
Between electromagnetic radiation as waves, near infrared spectrum is region of the wavelength in the range of 780~2526nm, is people in absorption spectrum
First non-visible light area of middle discovery.Near infrared spectrum is vibrated with hydric group (O-H, N-H, C-H) in organic molecule
Sum of fundamental frequencies is consistent with the uptake zone of frequencys multiplication at different levels, by scanning the near infrared spectrum of sample, can obtain organic molecule in sample and contain
The characteristic information of hydrogen group, and have easily and fast, efficiently, accurately and cost using near-infrared spectrum technique analysis sample
It is relatively low, do not destroy sample, do not consume chemical reagent, it is free from environmental pollution the advantages that, therefore the technology is subject to the green grass or young crops of more and more people
Look at.
Conventional qualitative identification method, relies primarily on the professional judgement for manually investigating experience, is often subject to many subjectivities
With the influence of objective factor, not only speed is slow, and time-consuming, constrains the efficiency of Qualitive test.Reflect for physico-chemical method
Not, not only elapsed time is long, complicated, can also use a large amount of organic reagents, cause environmental pollution.It is fast with analytical technology
Speed development, although all kinds of detection techniques based near infrared spectrum are widely used, but be substantially and quantitatively dividing
Application in analysis, it is less in qualitative analysis application.And at present more demand be then near infrared spectrum qualitative analysis differentiate
Whether containing a certain dangerous component in technology, such as detection medicine, to ensure drug safety.
Also the correlation technique of near infrared spectrum sizing analysis, but not on Gegen Qinlian preparation in open source literature at present
The correlation technique of near infrared spectrum sizing analysis.
The content of the invention
The purpose of the invention is to make up the deficiencies in the prior art, there is provided the qualitative mould of near-infrared of Gegen Qinlian preparation
The method for building up of type.
The present invention is achieved through the following technical solutions：
The method for building up of the near-infrared qualitative model of Gegen Qinlian preparation, the Gegen Qinlian preparation include Gegen Qinlian Tablets and Pueraria lobota
Root a kind of reed mentioned in ancient books connects ball or pellet；Its method for building up comprises the following steps：
（1）The near-infrared of collecting sample（NIR）Spectroscopic data：Gegen Qinlian Tablets and the Pueraria lobota of the multiple batches of multiple producers are extracted respectively
Root a kind of reed mentioned in ancient books connects ball or pellet, gathers its collection of illustrative plates respectively；
（2）Determine modeling sample data and pre-processed：Select there are the sample spectral coverage of larger difference as modeling collection of illustrative plates sample
This；
（3）Determine modeling parameters：Include the processing method of spectral coverage, CI limits, preprocess method and spectroscopic data；
（4）Establish near-infrared sizing parting model：The product collection of illustrative plates of the batch of qualification is selected in sample sets, establishes pueraria lobata respectively
A kind of reed mentioned in ancient books in flakes with Gegen Qinlian ball or the NIR models of pellet；
（5）Model is verified：The sample for having neither part nor lot in modeling is taken, is differentiated with the near-infrared sizing parting model established, verified
As a result it is whether correct.
The sample near-infrared（NIR）The acquisition method of spectrum, including：1. the collection of Gegen Qinlian Tablets NIR spectra：Using
Direct test sample method；12000~4000 cm of spectral scanning range-1, resolution ratio 8cm-1, scanning times 32 times, every batch of test sample is each
Scanning 6 times, each batch sample gathers collection of illustrative plates respectively, obtains averaged spectrum；2. the collection of Gegen Qinlian ball or pellet NIR spectra：
First GEGEN QINLIAN DIWAN is crushed, then gathers the NIR spectra of powder；12000~4000 cm of spectral scanning range-1, resolution ratio
8cm-1, scanning times 32 times, respectively scanning 6 times of every batch of test sample, each batch sample gathers collection of illustrative plates respectively, obtains averaged spectrum.
The definite modeling sample data, Gegen Qinlian Tablets and Gegen Qinlian ball or pellet select that there are larger difference
Sample spectral coverage 9300cm-1~4200cm-1, as modeling sample collection of illustrative plates；Then spectral coverage is carried out further according to its near-infrared feature excellent
Change.
The modeling parameters and preprocess method are as follows：1. Gegen Qinlian Tablets：9002.2~4196.4 cm of spectral coverage-1, CI limits
Spend for 5.0, preprocess method is First Derivation（17pts）（First derivative, 17 points smooth）, the processing of spectroscopic data
Method is maximum CI methods；2. Gegen Qinlian ball or pellet：9229.8~4188.7 cm of spectral coverage-1, CI limits are 5.0, pretreatment side
Method is First Derivation+ Vector Normalization（17pts）（First derivative+vector normalization, 17 points are put down
It is sliding）, the processing method of spectroscopic data is maximum CI methods.
The product collection of illustrative plates of the qualified batch, including：1. Gegen Qinlian Tablets：76 batches totally 456 spectrum；2. pueraria lobata a kind of reed mentioned in ancient books
Even ball or pellet：8 batches totally 48 original spectrums.
Near-infrared qualitative model of the present invention is established under conditions of high-volume collecting sample collection of illustrative plates, accuracy rate
Height, it is easy to operate quick, it is efficient, and cost is relatively low, does not destroy sample, does not consume chemical reagent, and it is free from environmental pollution, to ensure
The product quality of Gegen Qinlian preparation provides a kind of reliable authentication technique.
The beneficial effects of the invention are as follows：
1st, the near-infrared qualitative model of Gegen Qinlian preparation of the present invention, is built under conditions of high-volume collecting sample collection of illustrative plates
Vertical, accuracy rate is high, easy to operate quick, efficient, and cost is relatively low, does not destroy sample, does not consume chemical reagent, does not pollute
Environment, to ensure that the product quality of Gegen Qinlian preparation provides a kind of reliable authentication technique.
2nd, the method for building up of the near-infrared qualitative model of Gegen Qinlian preparation of the present invention, compensate for the prior art for
The deficiency of Gegen Qinlian quality of the pharmaceutical preparations control, extends application of the near infrared technology in the field of Chinese medicines, is traditional Chinese medicine research technology neck
One new developing direction in domain.
1st, the near-infrared qualitative model of Gegen Qinlian preparation of the present invention, basically reaches the requirement examined soon soon sieve, and can use
In primary dcreening operation and the true and false of discrimination kind, and purposive to sample it can efficiently separate, relative to easy the methods of TLC, HPLC
Quickly, the substantial amounts of time can be saved.
Brief description of the drawings
Fig. 1 is the untreated full spectral coverage NIR collection of illustrative plates of Gegen Qinlian Tablets.
Fig. 2 is the NIR collection of illustrative plates of Gegen Qinlian Tablets first derivative pretreatment.
Fig. 3 is the untreated full spectral coverage NIR collection of illustrative plates of GEGEN QINLIAN DIWAN.
Fig. 4 is the NIR collection of illustrative plates of GEGEN QINLIAN DIWAN first derivative+vector normalization method pretreatment.
Fig. 5 is Gegen Qinlian Tablets model parameter proof diagram.
Fig. 6 is GEGEN QINLIAN DIWAN model parameter proof diagram.
Embodiment
The present invention is introduced in order to more detailed, with reference to embodiment, the present invention will be further described.
Instrument used is：Instrument is MATRIX-F type near infrared spectrometers（German BRUKER companies）, equipped with light
Fibre probe test sample annex, indium gallium arsenic（InCaAs）Detector, instrument Serial No.：2i115306, analysis software are public for BRUKER
Take charge of OPUS5.0 spectral analysis softwares.
Sample source：
Embodiment 1
The method for building up of the near-infrared qualitative model of Gegen Qinlian preparation, the Gegen Qinlian preparation include Gegen Qinlian Tablets and Pueraria lobota
Root a kind of reed mentioned in ancient books connects pellet；Implemented using following technical scheme：
（1）The near-infrared of collecting sample（NIR）Spectroscopic data：The Gegen Qinlian Tablets of the multiple batches of multiple producers are extracted respectively, are related to
And Jilin ten thousand leads to medicine company Mei He medicine companies limited company, Shaanxi profit monarch, Taiji Group, the limited public affairs of Shanxi Province Hengshan Mountain Chinese medicine responsibility
Si Deng11Ge producers totally 86 batches of samples, using direct test sample method, gather its collection of illustrative plates respectively；GEGEN QINLIAN DIWAN is Guangxi premium medicine
The exclusive kind of industry limited company, extracts 8 batches altogether.
（2）Determine modeling sample data and pre-processed：Select there are the sample spectral coverage of larger difference as modeling figure
Compose sample；
（3）Determine modeling parameters：Include the processing method of spectral coverage, CI limits, preprocess method and spectroscopic data；
（4）Establish near-infrared sizing parting model：The product collection of illustrative plates of the batch of qualification is selected in sample sets, establishes pueraria lobata respectively
A kind of reed mentioned in ancient books NIR models with GEGEN QINLIAN DIWAN in flakes；
（5）Model is verified：The sample for having neither part nor lot in modeling is taken, is differentiated with the near-infrared sizing parting model established, verified
As a result it is whether correct.
The sample near-infrared（NIR）The acquisition method of spectrum, including：1. the collection of Gegen Qinlian Tablets NIR spectra：Using
Direct test sample method；12000~4000 cm of spectral scanning range-1, resolution ratio 8cm-1, scanning times 32 times, every batch of test sample is each
Scanning 6 times, each batch sample gathers collection of illustrative plates respectively, obtains averaged spectrum；2. the collection of GEGEN QINLIAN DIWAN NIR spectra：First will
GEGEN QINLIAN DIWAN crushes, then gathers the NIR spectra of powder；12000~4000 cm of spectral scanning range-1, resolution ratio 8cm-1,
Scanning times 32 times, respectively scanning 6 times of every batch of test sample, each batch sample gathers collection of illustrative plates respectively, obtains averaged spectrum.
The definite modeling sample data, Gegen Qinlian Tablets and GEGEN QINLIAN DIWAN select the sample there are larger difference
Spectral coverage 9300cm-1~4200cm-1, as modeling sample collection of illustrative plates；Then spectral coverage is optimized further according to its near-infrared feature.
Fig. 1 is the untreated full spectral coverage NIR collection of illustrative plates of Gegen Qinlian Tablets, and Fig. 2 is the pretreatment of Gegen Qinlian Tablets first derivative
NIR collection of illustrative plates, Fig. 3 are the untreated full spectral coverage NIR collection of illustrative plates of GEGEN QINLIAN DIWAN, and Fig. 4 is GEGEN QINLIAN DIWAN first derivative+vector
The NIR collection of illustrative plates of normalization method pretreatment.
The modeling parameters and preprocess method are as follows：1. Gegen Qinlian Tablets：9002.2~4196.4 cm of spectral coverage-1, CI limits
Spend for 5.0, preprocess method is First Derivation（17pts）（First derivative, 17 points smooth）, the processing of spectroscopic data
Method is maximum CI methods；2. GEGEN QINLIAN DIWAN：9229.8~4188.7 cm of spectral coverage-1, CI limits are 5.0, and preprocess method is
First Derivation+ Vector Normalization（17pts）（First derivative+vector normalization, 17 points smooth）,
The processing method of spectroscopic data is maximum CI methods.
Fig. 5 is Gegen Qinlian Tablets model parameter proof diagram, and Fig. 6 is GEGEN QINLIAN DIWAN model parameter proof diagram.
The product collection of illustrative plates of the qualified batch, including：1. Gegen Qinlian Tablets：76 batches totally 456 spectrum；2. pueraria lobata a kind of reed mentioned in ancient books
Even pellet：8 batches totally 48 original spectrums.
Verification result is as shown in table 1, table 2.
1 Gegen Qinlian Tablets model verification result of table
2 GEGEN QINLIAN DIWAN model verification result of table
Claims (5)
1. the method for building up of the near-infrared qualitative model of Gegen Qinlian preparation, it is characterised in that the Gegen Qinlian preparation includes
Gegen Qinlian Tablets and Gegen Qinlian ball or pellet；Its method for building up comprises the following steps：
（1）The near-infrared of collecting sample（NIR）Spectroscopic data：Gegen Qinlian Tablets and the Pueraria lobota of the multiple batches of multiple producers are extracted respectively
Root a kind of reed mentioned in ancient books connects ball or pellet, gathers its collection of illustrative plates respectively；
（2）Determine modeling sample data and pre-processed：Select there are the sample spectral coverage of larger difference as modeling collection of illustrative plates sample
This；
（3）Determine modeling parameters：Include the processing method of spectral coverage, CI limits, preprocess method and spectroscopic data；
（4）Establish near-infrared sizing parting model：The product collection of illustrative plates of the batch of qualification is selected in sample sets, establishes pueraria lobata respectively
A kind of reed mentioned in ancient books in flakes with Gegen Qinlian ball or the NIR models of pellet；
（5）Model is verified：The sample for having neither part nor lot in modeling is taken, is differentiated with the near-infrared sizing parting model established, verified
As a result it is whether correct.
2. the method for building up of the near-infrared qualitative model of Gegen Qinlian preparation according to claim 1, it is characterised in that institute
The acquisition method of sample near infrared spectrum is stated, including：1. the collection of Gegen Qinlian Tablets NIR spectra：Using direct test sample method；Spectrum
12000~4000 cm of scanning range-1, resolution ratio 8cm-1, scanning times 32 times, respectively scanning 6 times of every batch of test sample, each batch sample
Product gather collection of illustrative plates respectively, obtain averaged spectrum；2. the collection of Gegen Qinlian ball or pellet NIR spectra：First by GEGEN QINLIAN DIWAN
Crush, then gather the NIR spectra of powder；12000~4000 cm of spectral scanning range-1, resolution ratio 8cm-1, scanning times 32
Secondary, respectively scanning 6 times of every batch of test sample, each batch sample gathers collection of illustrative plates respectively, obtains averaged spectrum.
3. the method for building up of the near-infrared qualitative model of Gegen Qinlian preparation according to claim 1, it is characterised in that institute
State definite modeling sample data, Gegen Qinlian Tablets and Gegen Qinlian ball or pellet selects sample spectral coverage there are larger difference
9300cm-1~4200cm-1, as modeling sample collection of illustrative plates；Then spectral coverage is optimized further according to its near-infrared feature.
4. the method for building up of the near-infrared qualitative model of Gegen Qinlian preparation according to claim 1, it is characterised in that institute
State modeling parameters and preprocess method is as follows：1. Gegen Qinlian Tablets：9002.2~4196.4 cm of spectral coverage-1, CI limits are 5.0, in advance
Processing method is First Derivation（17pts）, i.e. first derivative, 17 points smooth, and the processing method of spectroscopic data is most
Big CI methods；2. Gegen Qinlian ball or pellet：9229.8~4188.7 cm of spectral coverage-1, CI limits are 5.0, and preprocess method is
First Derivation+ Vector Normalization（17pts）, i.e. first derivative+vector normalization, 17 points are smooth,
The processing method of spectroscopic data is maximum CI methods.
5. the method for building up of the near-infrared qualitative model of Gegen Qinlian preparation according to claim 1, it is characterised in that institute
The product collection of illustrative plates of the batch of qualification is stated, including：1. Gegen Qinlian Tablets：76 batches totally 456 spectrum；2. Gegen Qinlian ball is micro-
Ball：8 batches totally 48 original spectrums.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102735642A (en) * | 2012-07-12 | 2012-10-17 | 河北大学 | Method for quickly and losslessly identifying virgin olive oil and olive-residue oil |
| CN103808688A (en) * | 2014-01-22 | 2014-05-21 | 重庆医科大学 | Rapid non-destructive detection on quality consistency of finished medicine product by using near-infrared spectroscopy |
| CN104076012A (en) * | 2014-07-24 | 2014-10-01 | 河南中医学院 | Method for establishing model for rapidly detecting quality of synthetic borneol through near infrared reflectance spectroscopy |
-
2017
- 2017-11-01 CN CN201711057086.1A patent/CN107991260A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102735642A (en) * | 2012-07-12 | 2012-10-17 | 河北大学 | Method for quickly and losslessly identifying virgin olive oil and olive-residue oil |
| CN103808688A (en) * | 2014-01-22 | 2014-05-21 | 重庆医科大学 | Rapid non-destructive detection on quality consistency of finished medicine product by using near-infrared spectroscopy |
| CN104076012A (en) * | 2014-07-24 | 2014-10-01 | 河南中医学院 | Method for establishing model for rapidly detecting quality of synthetic borneol through near infrared reflectance spectroscopy |
Non-Patent Citations (2)
| Title |
|---|
| 张学博等: "近红外光谱一致性检验方法用于快速判断药品质量的研究", 《药物分析杂志》 * |
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