CN102879352A - Acquisition device for near-infrared transmitted spectrum of vinegar and method for identifying vinegar origin - Google Patents
Acquisition device for near-infrared transmitted spectrum of vinegar and method for identifying vinegar origin Download PDFInfo
- Publication number
- CN102879352A CN102879352A CN2012103397451A CN201210339745A CN102879352A CN 102879352 A CN102879352 A CN 102879352A CN 2012103397451 A CN2012103397451 A CN 2012103397451A CN 201210339745 A CN201210339745 A CN 201210339745A CN 102879352 A CN102879352 A CN 102879352A
- Authority
- CN
- China
- Prior art keywords
- vinegar
- sample
- microprocessor
- model
- spectrum
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses an acquisition device for a near-infrared transmitted spectrum of vinegar and a method for identifying a vinegar origin. The near-infrared transmitted spectrum of a vinegar sample is acquired by a detector in the acquisition device, and the acquired spectrum signals are transmitted to a microprocessor; and in the process of building a model, a qualitative judgment model is built by a mode recognition method, a correcting model which reaches the prediction accuracy is selected and introduced into the microprocessor, and the near infrared spectrum information of a predicating sample is mixed into the selected correcting model for calculation, and the origin information of the vinegar sample is obtained. The acquisition device provided by the invention is simple in structure, low in cost and convenient to take, and is capable of acquiring the near-infrared transmitted spectrum of the vinegar; and the method for identifying the vinegar origin provided by the invention identifies and researches the vinegar origin by a near infrared spectrum technology and the mode recognition method, thereby having the advantages of high recognition rate, fast analysis speed and greening analysis and the like.
Description
Technical field
The present invention relates to the method and apparatus that a kind of vinegar original producton location is differentiated, is a kind of harvester and vinegar original producton location discrimination method of vinegar near-infrared transmission spectrum specifically.
Background technology
Along with the raising of living standards of the people and developing rapidly of food industry, unprecedented prosperity and prosperous has appearred in the production ﹠ marketing of flavouring, and vinegar is important a member wherein.Except containing acetic acid, also contain some other nutritional labeling useful to health, such as lactic acid, gluconic acid, succinic acid, amino acid, sugar, calcium, phosphorus, iron, vitamin B2 etc. in the vinegar.Vinegar has transferred one of famous food of dietotherapy gradually to from simple flavouring because of its nutritional labeling uniqueness.Vinegar has certain tired effect of eliminating, and the contained organic acid that enriches in the vinegar can promote the metabolism of sugar in the human body and make tired material lactic acid in the muscle and acetone etc. is decomposed, thereby eliminate tired.And vinegar has certain anti-aging effects, and vinegar can suppress and reduce the formation of oxide among the human aging process.So it is good that vinegar is edible quality, a kind of good food that is of high nutritive value.
Vinegar brand on the domestic market is numerous, but vinegar is different because of kind, the place of production is different, raw material is different and the difference such as zymotechnique, so that the differences such as the vinegar quality of various brands, nutrition, price are larger, and the various brands vinegar does not almost have difference in appearance, and the consumer is difficult to be differentiated differentiation on color, taste.
Near-infrared spectral analysis technology has that analysis speed is fast, analysis cost is low, simple to operate, non-destructive, the characteristics such as pollution-free, and near infrared spectrum (comprises hierarchial-cluster analysis and K-means cluster analysis, principal component analysis (PCA), Fisher linear classification, K nearest neighbor algorithm and partial least squares discriminant analysis method-PLSDA) be used widely in conjunction with chemometrics method in the qualitative analysis of food quality.Traditional commercial nir instrument price is expensive, for the vinegar sample, because the sample physical property is more single.
Summary of the invention
In order to overcome the deficiencies in the prior art, the first purpose of the present invention be to provide a kind of simple in structure, cost is lower and the harvester of portable vinegar near-infrared transmission spectrum.
The second purpose of the present invention is to provide a kind of method of utilizing above-mentioned harvester that the vinegar original producton location is differentiated, and the method discrimination is high, analysis speed is fast and the greenization analysis.
In order to solve above-mentioned the first purpose, the technical solution adopted in the present invention is: a kind of harvester of vinegar near-infrared transmission spectrum, comprise shell, be provided with in the enclosure sample chamber, light source, detecting device, microprocessor and peripheral circuit, wherein, peripheral circuit mainly comprises circuit system, light source and temperature regulating and controlling module drive circuit and preposition amplification and feeds back the custom circuits such as steady control circuit.Be provided with control panel and USB interface at shell, be provided with control knob and display device at control panel; In the sample chamber, be provided with sample cell; Wherein,
Sample cell is used for placing sample;
Light source, emission spectrum sample to the sample cell;
Detecting device is used for receiving the spectral signal through behind the sample cell;
Microprocessor, microprocessor provides drive current by peripheral circuit for light source, control lighting in turn order and time of a plurality of monochromatic spectrums, the spectral signal through the external circuit conditioning that will receive simultaneously is stored in the memory block, call simultaneously the quantitative model of having stored, and carry out prediction and calculation, draw the original producton location information of tested vinegar sample, by USB interface finish and host computer between data communication;
Control knob is used for the operations such as spectra collection, model management;
The vinegar original producton location information that display device is used for microprocessor is calculated shows.
In order to solve above-mentioned the second purpose, the technical solution adopted in the present invention is: the method that a kind of harvester that utilizes above-mentioned vinegar near-infrared transmission spectrum is differentiated the vinegar original producton location, the method comprises the steps:
1) some parts of the vinegar sample in the different places of production of collection, a part is used for modeling as calibration set, and another part is as the prediction sample, for the checking of model;
2) in the modelling phase, the spectral signal that detecting device is received imports in the microprocessor, microprocessor links to each other with host computer by USB interface, the spectroscopic data that derivation measures is in the modeling of host computer, adopt appropriate mode identification method to set up qualitative analysis model between vinegar spectral signal and place of production information, after the host computer modeling, the model that obtains and parameter downloads thereof to the respective storage areas of microprocessor, are prepared for realizing follow-up detection;
3) the fast detecting stage, detecting device imports the spectral signal that receives in the microprocessor into, microprocessor calls corresponding place of production information qualitative analysis model and parameter is calculated, and obtains the geography information of detected vinegar sample, shows by display device simultaneously.
Compared with prior art, the invention has the beneficial effects as follows: harvester of the present invention is simple in structure, cost is lower and be easy to carry, and can realize the collection of vinegar near infrared spectrum; Discrimination method of the present invention adopts the recognition methods of near-infrared spectrum technique binding pattern that research is differentiated in the vinegar original producton location, has the discrimination height, analysis speed is fast and the advantage such as greenization analysis.
Description of drawings
Fig. 1 is the structural representation of harvester among the present invention;
Fig. 2 is the process flow diagram of discrimination method among the present invention;
Fig. 3 is the vinegar near-infrared transmission spectrogram that gathers among the present invention;
Fig. 4 is the major component distribution plan of the vinegar sample near infrared spectrum in the different places of production among the present invention;
Fig. 5 is based on the vinegar original producton location identification result of PLSDA mode identification method among the present invention.
Embodiment
The present invention is further described below by specific embodiment; should be pointed out that for the person of ordinary skill of the art, under the prerequisite that does not break away from the principle of the invention; can also make some modification and improvement, these also should be considered as belonging to protection scope of the present invention.
As shown in Figure 1, a kind of harvester of vinegar near-infrared transmission spectrum, comprise shell 1, in shell 1, be provided with sample chamber 2, light source 3, detecting device 4, microprocessor 5 and peripheral circuit, wherein, peripheral circuit mainly comprises circuit system, light source and temperature regulating and controlling module drive circuit and preposition amplification and feeds back the custom circuits such as steady control circuit.Upper surface at shell 1 is provided with control panel 6, is provided with USB interface 7 in a side of shell 1, is provided with control knob and display device at control panel 6; In sample chamber 2, be provided with sample cell;
Wherein, sample cell is used for placing sample;
Detecting device 4 is used for receiving the spectral signal through behind the sample cell;
Control knob is used for the operations such as spectra collection, model management;
The vinegar original producton location information that display device is used for microprocessor is calculated shows, usually adopts display screen.
Utilize above-mentioned harvester to carry out the discrimination method in vinegar original producton location, the flow process of the method is shown in 2, and is specific as follows: the some parts of vinegar sample of 1) collecting the different places of production, a part is as calibration set, be used for modeling, another part is used for the checking of model as the prediction sample; All vinegar samples are determined the original producton location, and encode.
2) in the modelling phase, the spectral signal that detecting device 4 in the harvester is received imports in the microprocessor 5, microprocessor 5 links to each other with host computer by USB interface 7, the spectroscopic data that derivation measures carries out the data processing in the modeling of host computer, adopt appropriate mode identification method to set up qualitative analysis model between vinegar spectral signal and place of production information, after the host computer modeling, the model that obtains and parameter downloads thereof to the respective storage areas of microprocessor 5, are prepared for realizing follow-up detection;
3) the fast detecting stage, at first collect vinegar sample to be measured, then gather vinegar sample spectral signals to be measured by detecting device 4, and the vinegar sample spectral signals to be measured that will receive is imported in the microprocessor 5, microprocessor 5 calls corresponding place of production information qualitative analysis model and parameter is calculated, obtain the geography information of detected vinegar sample, show by display device simultaneously.
Embodiment 1: the discrimination method in the vinegar place of production, and the method is:
At first collected 279 vinegar samples, wherein Jiangsu " permanent suitable " brand is 240, and all the other are Shanxi " East Lake " and Tianjin " solely stream " two brands.Adopt the Kennard-Stone method that sample is divided into calibration set and two sample sets of checking collection, wherein the calibration set sample is used for setting up discrimination model, checking collection sample is used for the discrimination model of setting up is carried out error analysis, thereby whether decision model meets testing requirement, otherwise rebuild model, calibration set has 186 duplicate samples, and test set has 93 duplicate samples." permanent suitable " brand vinegar is made as the first kind, represent with alphabetical a, and other brand vinegars is made as Equations of The Second Kind, represent with alphabetical b.Keep the stable of experimental enviroment, constant temperature: (25 ± 0.3) ℃, ambient humidity: (22 ± 5) ℃.With 279 sample number into spectrum, take air as reference, every duplicate samples is poured 2/3 place that arrives volume in the cuvette into.Scanning times is 32 times.Under the pattern of absorbance (absorbance), test.The major component distribution plan of the vinegar sample near infrared spectrum in the different places of production as shown in Figure 4.
Secondly, in the modelling phase, the spectral signal that detecting device in the harvester is received imports in the microprocessor, microprocessor links to each other with host computer by USB interface, the spectroscopic data that derivation measures carries out the data processing in the modeling of host computer, adopt appropriate mode identification method to set up qualitative analysis model between vinegar spectral signal and place of production information, after the host computer modeling, the model that obtains and parameter downloads thereof to the respective storage areas of microprocessor, are prepared for realizing follow-up detection;
At last, the fast detecting stage, at first collect vinegar sample to be measured, then gather vinegar sample spectral signals to be measured by detecting device, and the vinegar sample spectral signals to be measured that will receive is imported in the microprocessor, microprocessor calls corresponding place of production information qualitative analysis model and parameter is calculated, and obtains the geography information of detected vinegar sample, shows by display device simultaneously.Based on the vinegar original producton location identification result of PLSDA mode identification method as shown in Figure 5.
The near-infrared transmission spectrogram of " permanent suitable " that Fig. 3 apparatus of the present invention gather, " East Lake " and " solely stream " three brand vinegars.
Represent " permanent suitable " board vinegar and non-" permanent suitable " board vinegar (non-" permanent suitable " board vinegar comprises " East Lake " and " solely stream ") with alphabetical a and alphabetical b respectively, as can be seen from Figure 4, letter a is with in alphabetical b has been included in respectively different ellipses, represented " permanent suitable " the brand vinegar of letter a is included in the larger ellipse, and represented non-" permanent suitable " the brand vinegar of alphabetical b is included in the less ellipse; Well realized the differentiation of " permanent suitable " brand vinegar; Among Fig. 5 horizontal ordinate a and b corresponding respectively be " permanent suitable " board vinegar and non-" permanent suitable " board vinegar, and numerical value corresponding to a is that numerical value corresponding to 1, b is 2; Obtained equally more accurately result of determination by statistical study.
Among the present invention, the near infrared qualitative analysis is to set up the near infrared qualutative model with the sample of known class, and whether then investigate unknown sample character with this model similar to known sample.Concrete experimentation is: (1) gathers the spectrum of known class vinegar sample; (2) process above-mentioned spectrum with certain mathematical method, generate qualitative criteria; (3) judge with this qualitative criteria which class material unknown sample belongs to.Can find out that from said process the near infrared qualitative analysis depends on the repeatability of spectrum, comprise the repeatability of absorbance and wavelength.Mensuration and the processing procedure that will note unknown sample in the near infrared qualitative analysis must be identical with the calibration set sample, and spectra collection parameter and experiment condition must be consistent etc.
Claims (7)
1. the harvester of a vinegar near-infrared transmission spectrum, it is characterized in that, comprise shell, be provided with in the enclosure sample chamber, light source, detecting device, microprocessor and peripheral circuit, be provided with control panel and USB interface at shell, be provided with control knob and display device at control panel; In the sample chamber, be provided with sample cell; Wherein,
Sample cell is used for placing sample;
Light source, emission spectrum sample to the sample cell;
Detecting device is used for receiving the spectral signal through behind the sample cell;
Microprocessor, microprocessor provides drive current by peripheral circuit for light source, control lighting in turn order and time of a plurality of monochromatic spectrums, the spectral signal through the external circuit conditioning that will receive simultaneously is stored in the memory block, call simultaneously the quantitative model of having stored, and carry out prediction and calculation, draw the original producton location information of tested vinegar sample, by USB interface finish and host computer between data communication;
Control knob is used for the operations such as spectra collection, model management;
Display device, the vinegar original producton location information that is used for microprocessor is calculated shows.
2. the harvester of vinegar near-infrared transmission spectrum according to claim 1 is characterized in that, described light source is halogen tungsten lamp light source, and spectral range is 360-2000nm.
3. the harvester of vinegar near-infrared transmission spectrum according to claim 1 is characterized in that, described control panel is located at the upper surface of shell.
4. the harvester of vinegar near-infrared transmission spectrum according to claim 1 is characterized in that, described USB interface is located on the side of shell.
5. the method for utilizing the harvester of each described vinegar near-infrared transmission spectrum in the claim 1 to 4 that the vinegar original producton location is differentiated is characterized in that the method comprises the steps:
1) some parts of the vinegar sample in the different places of production of collection, a part is used for modeling as calibration set, and another part is as the prediction sample, for the checking of model;
2) in the modelling phase, the spectral signal that detecting device is received imports in the microprocessor, microprocessor links to each other with host computer by USB interface, the spectroscopic data that derivation measures is in the modeling of host computer, adopt appropriate mode identification method to set up qualitative analysis model between vinegar spectral signal and place of production information, after the host computer modeling, the model that obtains and parameter downloads thereof to the respective storage areas of microprocessor, are prepared for realizing follow-up detection;
3) the fast detecting stage, detecting device imports the spectral signal that receives in the microprocessor into, microprocessor calls corresponding place of production information qualitative analysis model and parameter is calculated, and obtains the geography information of detected vinegar sample, shows by display device simultaneously.
6. discrimination method according to claim 5 is characterized in that, in the step 1), all vinegar samples is determined the original producton location, and encode.
7. discrimination method according to claim 5, it is characterized in that, step 2) in, described mode identification method mainly is to adopt different withdrawing spectral information methods in conjunction with the structure of principal component analysis (PCA) and partial least squares discriminant analysis method realization discrimination model, wherein adopts different withdrawing spectral information methods: comprise and adopt different preprocess methods and spectrum is carried out the preferred of feature Face Changing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012103397451A CN102879352A (en) | 2012-09-13 | 2012-09-13 | Acquisition device for near-infrared transmitted spectrum of vinegar and method for identifying vinegar origin |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012103397451A CN102879352A (en) | 2012-09-13 | 2012-09-13 | Acquisition device for near-infrared transmitted spectrum of vinegar and method for identifying vinegar origin |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102879352A true CN102879352A (en) | 2013-01-16 |
Family
ID=47480760
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2012103397451A Pending CN102879352A (en) | 2012-09-13 | 2012-09-13 | Acquisition device for near-infrared transmitted spectrum of vinegar and method for identifying vinegar origin |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102879352A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103353443A (en) * | 2013-06-18 | 2013-10-16 | 西北农林科技大学 | Near infrared spectrum based discrimination method for Zhongning fructus lycii |
| CN104614336A (en) * | 2015-03-08 | 2015-05-13 | 王利兵 | Infrared spectral feature based chemical rapid discrimination method and device |
| CN106525756A (en) * | 2016-12-02 | 2017-03-22 | 赣州市检验检疫科学技术研究院 | Apparatus and method for rapid identification of timber varieties |
| CN106770058A (en) * | 2017-01-16 | 2017-05-31 | 中国科学院南京土壤研究所 | The quick special purpose device and its application method of the soil nitrate-N based on infrared spectrum |
| CN107132197A (en) * | 2017-05-25 | 2017-09-05 | 江苏大学 | A kind of detection method and device of vinegar total acid content |
| CN107356555A (en) * | 2017-06-29 | 2017-11-17 | 深圳市赛亿科技开发有限公司 | A kind of device based near infrared spectrum detection flower characters |
| CN107860748A (en) * | 2017-12-20 | 2018-03-30 | 中国海洋大学 | Near infrared spectrum networking acquisition system |
| CN110118747A (en) * | 2019-04-29 | 2019-08-13 | 山西农业大学 | The construction method of the decaying total reflection fourier-transform infrared finger-print of four big vinegar and application |
| CN111474134A (en) * | 2020-04-24 | 2020-07-31 | 驻马店华中正大有限公司 | Method for controlling butyric acid fermentation by using online near infrared |
| CN112378886A (en) * | 2020-10-21 | 2021-02-19 | 浙江工商大学 | Method for identifying true and false of aged vinegar based on light scattering technology |
| CN112540058A (en) * | 2020-12-24 | 2021-03-23 | 苏州泽达兴邦医药科技有限公司 | Method and device for nondestructively identifying authenticity of traditional Chinese medicinal material through near infrared spectrum analysis |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2739619Y (en) * | 2004-11-18 | 2005-11-09 | 复旦大学 | On-line multi-channel near infrared spectrougraph for measuring vinegar total acid content |
| WO2012024794A1 (en) * | 2010-08-04 | 2012-03-01 | Nir Science Corporation | Method and apparatus for analyte detection |
| CN102435580A (en) * | 2011-12-23 | 2012-05-02 | 吉林大学 | Quick near-infrared measuring device and method for milk ingredients |
-
2012
- 2012-09-13 CN CN2012103397451A patent/CN102879352A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2739619Y (en) * | 2004-11-18 | 2005-11-09 | 复旦大学 | On-line multi-channel near infrared spectrougraph for measuring vinegar total acid content |
| WO2012024794A1 (en) * | 2010-08-04 | 2012-03-01 | Nir Science Corporation | Method and apparatus for analyte detection |
| CN102435580A (en) * | 2011-12-23 | 2012-05-02 | 吉林大学 | Quick near-infrared measuring device and method for milk ingredients |
Non-Patent Citations (2)
| Title |
|---|
| 安政光 等: "基于近红外光谱的老陈醋不同品牌的鉴别分析", 《机械管理开发》 * |
| 宋海燕 等: "基于可见/近红外透射光谱的山西老陈醋产地的判别分析", 《中国食品学报》 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103353443A (en) * | 2013-06-18 | 2013-10-16 | 西北农林科技大学 | Near infrared spectrum based discrimination method for Zhongning fructus lycii |
| CN104614336A (en) * | 2015-03-08 | 2015-05-13 | 王利兵 | Infrared spectral feature based chemical rapid discrimination method and device |
| CN106525756A (en) * | 2016-12-02 | 2017-03-22 | 赣州市检验检疫科学技术研究院 | Apparatus and method for rapid identification of timber varieties |
| CN106770058A (en) * | 2017-01-16 | 2017-05-31 | 中国科学院南京土壤研究所 | The quick special purpose device and its application method of the soil nitrate-N based on infrared spectrum |
| CN107132197B (en) * | 2017-05-25 | 2020-12-18 | 江苏大学 | Method and device for detecting total acid content of vinegar |
| CN107132197A (en) * | 2017-05-25 | 2017-09-05 | 江苏大学 | A kind of detection method and device of vinegar total acid content |
| CN107356555A (en) * | 2017-06-29 | 2017-11-17 | 深圳市赛亿科技开发有限公司 | A kind of device based near infrared spectrum detection flower characters |
| CN107860748A (en) * | 2017-12-20 | 2018-03-30 | 中国海洋大学 | Near infrared spectrum networking acquisition system |
| CN110118747A (en) * | 2019-04-29 | 2019-08-13 | 山西农业大学 | The construction method of the decaying total reflection fourier-transform infrared finger-print of four big vinegar and application |
| CN111474134A (en) * | 2020-04-24 | 2020-07-31 | 驻马店华中正大有限公司 | Method for controlling butyric acid fermentation by using online near infrared |
| CN112378886A (en) * | 2020-10-21 | 2021-02-19 | 浙江工商大学 | Method for identifying true and false of aged vinegar based on light scattering technology |
| CN112378886B (en) * | 2020-10-21 | 2022-06-14 | 浙江工商大学 | Method for identifying true and false of aged vinegar based on light scattering technology |
| CN112540058A (en) * | 2020-12-24 | 2021-03-23 | 苏州泽达兴邦医药科技有限公司 | Method and device for nondestructively identifying authenticity of traditional Chinese medicinal material through near infrared spectrum analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102879352A (en) | Acquisition device for near-infrared transmitted spectrum of vinegar and method for identifying vinegar origin | |
| CN110411957B (en) | Nondestructive rapid prediction method and device for shelf life and freshness of fruits | |
| Chen et al. | Classification of Chinese honeys according to their floral origin by near infrared spectroscopy | |
| CN101915738B (en) | Method and device for rapidly detecting nutritional information of tea tree based on hyperspectral imaging technique | |
| CN108960315B (en) | Intelligent evaluation system and method for quality of cooked meat product | |
| CN102564993B (en) | Method for identifying rice varieties by using Fourier transform infrared spectrum and application of method | |
| CN103575689B (en) | Method for rapidly detecting amylose content in rice by near infrared spectrum and visible light analyzer | |
| CN101907564B (en) | Rapeseed quality non-destructive testing method and device based on near infrared spectrum technology | |
| CN203745367U (en) | Intelligent pork freshness detector | |
| CN106841103A (en) | Near infrared spectrum detects fruit internal quality method and dedicated test system | |
| CN102087212B (en) | Pueraria lobata starch adulteration identification method based on principal component analysis | |
| CN106841083A (en) | Sesame oil quality detecting method based on near-infrared spectrum technique | |
| CN102590129B (en) | Method for detecting content of amino acid in peanuts by near infrared method | |
| CN106841052A (en) | A kind of method and system of quick detection meat freshness | |
| CN102876816A (en) | Fermentation process statue monitoring and controlling method based on multi-sensor information fusion | |
| CN105044025A (en) | Method for fast recognizing sesame oil and sesame oil doped with soybean oil through near infrared | |
| CN107421912A (en) | A kind of apparatus and method of the liquid diary product quality testing based on near-infrared transmission technology | |
| CN107121408A (en) | The quick nondestructive discrimination method of edible vegetable oil kind | |
| CN103411895A (en) | Near infrared spectrum identification method of adulteration of pearl powder | |
| CN111426645A (en) | Method for rapidly determining nitrogen content of different organs of plant | |
| CN108007917B (en) | Method for establishing Raman spectrum measurement model of nitrogen content in rice plant by Hilbert method | |
| CN109932335A (en) | It is a kind of for the method for natural rubber assay in plant and measurement use LED near infrared spectrometer | |
| CN104181125A (en) | Method for rapidly determining Kol-bach value of beer malt | |
| CN114577739A (en) | Fresh tobacco maturity judging method | |
| CN115236024A (en) | Training method, determination method and device for model for determining content of total acids and total esters in wine |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20130116 |