CN106959284A - A kind of detection method for distinguishing transgenic corns and non-transgenic corn - Google Patents
A kind of detection method for distinguishing transgenic corns and non-transgenic corn Download PDFInfo
- Publication number
- CN106959284A CN106959284A CN201710188363.6A CN201710188363A CN106959284A CN 106959284 A CN106959284 A CN 106959284A CN 201710188363 A CN201710188363 A CN 201710188363A CN 106959284 A CN106959284 A CN 106959284A
- Authority
- CN
- China
- Prior art keywords
- sample
- transgenic
- corn
- terahertz
- transgenic corn
- 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
- 235000002017 Zea mays subsp mays Nutrition 0.000 title claims abstract description 134
- 235000005824 Zea mays ssp. parviglumis Nutrition 0.000 title claims abstract description 131
- 235000005822 corn Nutrition 0.000 title claims abstract description 131
- 230000009261 transgenic effect Effects 0.000 title claims abstract description 111
- 238000001514 detection method Methods 0.000 title claims abstract description 51
- 208000003643 Callosities Diseases 0.000 title claims abstract description 40
- 206010020649 Hyperkeratosis Diseases 0.000 title claims abstract description 40
- 241000209149 Zea Species 0.000 title 2
- 240000008042 Zea mays Species 0.000 claims abstract description 132
- 238000000862 absorption spectrum Methods 0.000 claims abstract description 31
- 238000000034 method Methods 0.000 claims abstract description 25
- 238000004458 analytical method Methods 0.000 claims abstract description 16
- 239000000843 powder Substances 0.000 claims description 17
- 238000005259 measurement Methods 0.000 claims description 14
- 230000008569 process Effects 0.000 claims description 9
- 238000001035 drying Methods 0.000 claims description 8
- 238000000498 ball milling Methods 0.000 claims description 7
- 238000001328 terahertz time-domain spectroscopy Methods 0.000 claims description 5
- 238000001291 vacuum drying Methods 0.000 claims description 5
- 239000002245 particle Substances 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 4
- 230000004907 flux Effects 0.000 claims description 3
- 235000013339 cereals Nutrition 0.000 claims description 2
- 238000001125 extrusion Methods 0.000 claims description 2
- 235000013312 flour Nutrition 0.000 claims description 2
- 238000003801 milling Methods 0.000 claims description 2
- 238000001228 spectrum Methods 0.000 abstract description 12
- 239000000126 substance Substances 0.000 abstract description 4
- 238000002360 preparation method Methods 0.000 abstract description 2
- 108090000623 proteins and genes Proteins 0.000 description 6
- 102000004169 proteins and genes Human genes 0.000 description 5
- 238000010521 absorption reaction Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 235000013305 food Nutrition 0.000 description 4
- 239000000463 material Substances 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 235000016383 Zea mays subsp huehuetenangensis Nutrition 0.000 description 3
- 230000006378 damage Effects 0.000 description 3
- 244000037671 genetically modified crops Species 0.000 description 3
- 235000009973 maize Nutrition 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 238000002965 ELISA Methods 0.000 description 2
- 240000007594 Oryza sativa Species 0.000 description 2
- 235000007164 Oryza sativa Nutrition 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 235000009508 confectionery Nutrition 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000003119 immunoblot Methods 0.000 description 2
- 235000009566 rice Nutrition 0.000 description 2
- 239000007790 solid phase Substances 0.000 description 2
- 239000000758 substrate Substances 0.000 description 2
- 241000196324 Embryophyta Species 0.000 description 1
- 239000004793 Polystyrene Substances 0.000 description 1
- 241001632422 Radiola linoides Species 0.000 description 1
- 108700019146 Transgenes Proteins 0.000 description 1
- 238000012271 agricultural production Methods 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 239000000427 antigen Substances 0.000 description 1
- 108091007433 antigens Proteins 0.000 description 1
- 102000036639 antigens Human genes 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 238000006555 catalytic reaction Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000000549 coloured material Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000006911 enzymatic reaction Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000010977 jade Substances 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 229920003023 plastic Polymers 0.000 description 1
- 229920002223 polystyrene Polymers 0.000 description 1
- 239000000376 reactant Substances 0.000 description 1
- 229910052709 silver Inorganic materials 0.000 description 1
- 239000004332 silver Substances 0.000 description 1
- 238000009475 tablet pressing 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
- G01N21/3581—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using far infrared light; using Terahertz radiation
- G01N21/3586—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using far infrared light; using Terahertz radiation by Terahertz time domain spectroscopy [THz-TDS]
Landscapes
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Toxicology (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)
Abstract
The invention discloses a kind of detection method for distinguishing transgenic corns and non-transgenic corn, using Terahertz（THZ）The mode of detection, is scanned with non-transgenic corn compressing tablet sample to transgenosis, obtains the Terahertz of transgenic corns and non-transgenic corn（THZ）Absorption spectra.In the obtained Terahertz absorption spectra of scanning, by observing the scanning result figure of corn sample, take that color is most deep, most obvious 8 to 10 sample points of feature, and take their average value, draw the Terahertz absorption spectra of each kind corn sample.Then it is preprocessed to obtain THZ frequency domain spectras, com-parison and analysis is modeled in matlab to data by LS-SVM, BPNN, RF method, an optimal model is therefrom found, transgenosis and non-transgenic corn are accurately distinguished with this.The present invention solves the cumbersome traditional damage-type chemical detection method sample preparation of the current high cost for detecting transgenic product, detection time length, needs the problem of professional operates, THZ detection methods of the present invention have lossless, efficiency high, it is quick the features such as, can be applied to distinguish the detection of transgenic corns and non-transgenic corn.
Description
Technical field
The present invention relates to the detection method of transgenic product, and in particular to be using THZ detect method, compare and turn base
Because of the difference of corn and the absworption peak of non-transgenic corn, the method further modeled by LS-SVM, BPNN, RF, so that area
Separate the detection method of different cultivars corn.
Background technology
Due to the development of transgenic technology, people are particularly paid close attention to the safety problem of GM food, one thus brought
Accurate, quick detection the method for studying GM food of series.Therefore, detection in recent years for GM food
The always study hotspot of agricultural engineering field.
The detection method for genetically modified crops mainly has immunoblotting, ELISA detection methods, PCR to detect at present
Method etc..Immunoblotting is with polystyrene reactant plate as solid phase carrier, and it is to allow the specific non-marking of target protein
Antibody is combined together with the related antigen in target protein, then detects the antibody of combination up.The difficulty of this technique study
Degree is big, and cost is higher, is not suitable for large batch of detection.The principle of ELISA detections is by the target egg in sample to be detected
The associated antibodies with surface of solid phase carriers react in vain, add after the substrate related to enzyme reaction, and substrate is turned by catalysis
Be turned into coloured material, by a series of reaction, can detect in material to be detected whether containing transgenosis into
Point.This method there are some problems：It is difficult to find target protein, the matrix of complexity, these things are included in test substance
The accuracy of confrontation testing result, accuracy can have a huge impact, and be only applicable to the original crossed without working process
Material.The cardinal principle of the detection of PCR detection techniques is by being expanded for target sequence, then to pass through corresponding method
To detect the product after amplification.
In summary, prior art detects that most is all the detection for DNA and protein for genetically modified crops, this
A little methods have a destructiveness in itself for crop, and high cost, cumbersome detection method sample preparation, detection time length, need professional people
The problem of member's operation.
The content of the invention
Present invention aims at a kind of detection method for distinguishing transgenic corns and non-transgenic corn is provided, to realize nothing
Damage detection, improve detection efficiency, realize quick detection, and simplify operation.
In order to solve upper technical problem, the present invention is beautiful to transgenosis and non-transgenic using terahertz time-domain spectrum detection system
Rice sample is detected, transgenosis and the absorption Terahertz spectrum of non-transgenic corn is obtained, by comparing the difference of absorption spectra, area
Divide transgenosis and non-transgenic corn, concrete technical scheme is as follows：
A kind of detection method for distinguishing transgenic corns and non-transgenic corn, its feature comprises the following steps：
Step one, milled processed：Non-transgenic corn particle is put into two hemisphere of high-flux tissue ball milling instrument, powder is carried out
It is broken, non-transgenic corn powder sample is obtained after being fully ground；
Step 2, drying process：By described non-transgenic corn powder sample and the powdered transgenic corns sample bought point
It is not put into different vacuum drying chambers and is fully dried, obtains dry non-transgenic corn powder sample and dry and turn base
Because of corn flour sample；
Step 3, compressing tablet process：The transgenic corns powder of the drying and the non-transgenic corn powder dried are placed in tablet press machine
On mould, apply 15KN power to tablet press machine, obtain compressing tablet sample i.e. non-transgenic corn compressing tablet sample and transgenic corns pressure
Piece sample；
Step 4, terahertz time-domain spectroscopy is positioned over by the transgenic corns compressing tablet sample and non-transgenic corn compressing tablet sample
On the monitor station of detection system, and experimental bench is vacuumized；
Step 5, inputs transgenic corns compressing tablet sample and non-transgenic corn compressing tablet sample in the Terahertz measuring system
Measurement parameter so that the scan area of Terahertz measuring system completely includes all samples to be tested, at the same ensure measurement
Precision；
Step 6, sets measuring condition so that the measurement sample thickness of setting is consistent with actual sample thickness, so as to ensure reality
Test the accuracy of surveyed data；
Step 7, frequency range and analysis mode of the setting Terahertz to scan sample；
Step 8, carries out background scans, to exclude influence of the background to scan sample result to Terahertz monitor station；
Step 9, is then scanned to the compressing tablet sample respectively again, obtains sample Terahertz absorption spectra, i.e. transgenic corns
Compressing tablet sample Terahertz absorption spectra and non-transgenic corn compressing tablet sample Terahertz absorption spectra；
Step 10, pre-processes to gained sample Terahertz absorption spectra, therefrom finds an optimal scheme, comes accurate with this
Distinguish transgenic corns and non-transgenic corn in ground.
The step one is specially：
In the two hemispheres that non-transgenic corn particle is put into high flux ball milling instrument (GT100), then two hemispheres are clamped, to non-
Transgenic corn grain is smashed, and it is 1006rpm, milling time 0.4min to set ball milling instrument rotating speed.
In step 2：Vacuum drying chamber is D2G-6020；Drying process temperature is 60 DEG C, time 12h.
In step 3：The diameter of the mould for tabletting press is 12mm, and the compressing tablet sample thickness of extrusion is 1.5mm, to compressing tablet
Machine applies 15KN power.
In the step 5：In the plane of scanning motion, 3mm is in x, y-axis scanning direction step-length, 10 × 10 points are scanned,
Whole scan area is 30 × 30mm.
The measurement sample thickness is set to 1.5mm.
The Terahertz measuring system is 0.3 ~ 4THZ to the frequency range of scan sample, and analysis mode is absorption spectra.
The step 8 is scanned in the measurement range of setting to Terahertz monitor station background；
The step 9 is specially：Place and protected between compressing tablet sample to be measured, compressing tablet sample by direction in length and breadth in sample stage
Gap is stayed to be not less than 5mm, the compressing tablet number of samples that single sweep operation is placed is 3, is scanned to compressing tablet sample and obtains transgenosis
Corn compressing tablet sample Terahertz absorption spectra and non-transgenic corn compressing tablet sample Terahertz absorption spectra.
The step 10 is specially：The Terahertz absorption spectra that observation analysis is obtained, takes that color is most deep, feature most obvious 8
To 10 sample points, their average value is taken, the Terahertz absorption spectra of each kind corn sample is drawn, observes their Terahertzs
Data are modeled com-parison and analysis in matlab by LS-SVM, BPNN, RF method, therefrom found by the feature of absorption spectra
One optimal model, accurately transgenic corns and non-transgenic corn are distinguished with this.
The present invention has beneficial effect.The present invention in crushing process destroy sample profile but without destruction transgenosis and
The chemical composition of non-transgenic corn, without by traditional chemical reaction, being carried out without the DNA to sample interior and protein
Analysis, by THZ detection techniques, can obtain the absorption Terahertz spectrum of transgenic corns and non-transgenic corn.By to inhaling
The analysis of Terahertz spectrum is received, different types of corn can be compared.THZ Detection Techniques pair are utilized the invention provides one kind
The measuring method of transgenosis and non-transgenic corn.Its principle is to be focused element by THz wave to focus on a certain of sample
On point, gathering element is focused on THz detecting elements after then will transmit through the THz ripples collection of sample (or being reflected from sample).THz is visited
Survey element and the THz signals containing positional information are converted into corresponding electric signal, graphics processing unit converts the signal into figure
Picture, then can distinguish genetically modified crops by analyzing image information.For Terahertz detection technique, it has penetration power strong, non-
Contact, not damaged, without liquid medium, and its for ambient temperature it is insensitive the features such as, without to detect sample change
Transgenosis and non-transgenic can just be distinguished by studying the broken ring of point progress.The advantage of THZ detection techniques is simple and quick, detection
Process will not destroy the chemical composition of sample, without distinguishing transgenosis and non-transgenic sample, Er Qiejian by chemically reacting
Survey process will not damage the performance of measurand.
At present, Terahertz detection technique is mainly used in safety inspection, biomedical applications, environment measuring, pharmacy, agricultural production
The numerous areas such as product and food, it can be also used in nonmetallic materials characteristic and defects detection, but not see for making
The report of transgenic corns and non-transgenic corn is distinguished with Terahertz method.
Brief description of the drawings
Fig. 1 is measuring principle schematic diagram of the present invention；
Fig. 2 is the broad flow diagram of Data acquisition and issuance of the present invention；
Fig. 3 is corn sample scanning result figure of the present invention；
Fig. 4 is the absorption Terahertz spectrum of the corn of kind used in the present invention.
Embodiment
Technical scheme is described in further detail with specific embodiment below in conjunction with the accompanying drawings.
Terahertz time-domain Terahertz spectrum detection system employed in the specific embodiment of the invention is TAS7400TS types,
Using terahertz time-domain Terahertz spectrum detection system transgenosis is scanned with non-transgenic corn, collect transgenosis with
The THZ spectrum of non-transgenic corn, my Main Analysis absorption spectrum, transgenosis is distinguished by observing absorption spectrum here
With non-transgenic corn.The present invention is in October, 2016 in December, 2016 in Jiangsu University's agriculture equipment and technical education
Tested in key lab of portion.To ensure that the non-transgenic corn used is to undope to have other composition, therefore purchase
Non-transgenic corn is all seed, and the later stage needs voluntarily grind into powder.Non-transgenic corn seed was all bought in Shouguang City's spring
The autumn is spent to plant industry in fact, it is the multicolored sweet-waxy maizes of their variety adoption, crisp sweet fruit corn, super sweet fruit corn, the fragrant waxy corn of silver, glutinous
Corn and Purple glutinors maize.Transgenic maize varieties are from the remarkable bio tech ltd's purchase in Shenzhen, from Bt11（2%）、
Bt176（5%）、MON810（10%）Standard items powder, the domestic contrast of these three Chinese approval of imports at present is popular to be turned
Gene corn.In order to ensure the representativeness of sample, 5 samples have all been made to each corn.
（1）The making of transgenic corns and non-transgenic corn seed specimen
The non-transgenic corn seed of purchase is first screened clean, deimpurity interference is gone.Then appropriate seed is placed in height
The ball milling instrument of flux tissue（GT100）Mould in, set rotating speed 1006rpm, time 0.4min, be fully ground seed.Grind
After claying into power, it is fitted into transparent plastic bag, is placed in vacuum drying chamber（D2G-6020）In, it is 60 DEG C to set drying box temperature,
Time 12h, because the inhereditary material such as DNA in corn seed can be denatured more than 94 DEG C.Appropriate drying is taken out respectively
Transgenic corns and non-transgenic corn powder, powder is put into 12mm Manual tablet pressing machine mould（Hebi, Henan）On, lead to
Cross manual mode and apply appropriate power to tablet press machine, dry transgenic corns and non-transgenic corn compressing tablet sample can be obtained
This, by control add mould powder number, it is ensured that the thickness of compressing tablet is in 1.5mm or so, and every kind of corn sample does 5
Individual sample, it is ensured that the data that can measure of experiment more can representative sample characteristic.
（2）Instrument parameter is set and sample is installed
Transgenic corns Jing Guo compressing tablet process and non-transgenic corn compressing tablet are positioned over terahertz time-domain spectroscopy detection system
（TAS7400TS, Shanghai）On the monitor station of model, the correct position on monitor station is found out.The measurement parameter of input sample, sweeps
The area retouched is 30 × 30mm, and scanning step is 3mm on x, y-axis direction, in the area of scanning on scan 10 × 10
Point.Measuring condition is set, and sample thickness is in 1.5mm, and analysis mode is using absorbing, and measurement range arrives 4TH 0.3Z.Measurement when
Time first carries out background scans, to exclude influence of the background to scan sample, the measurement range that then will be set in sample sample stage,
Arranged respectively by direction in length and breadth, interval is not less than 5mm between each sample, using terahertz time-domain spectroscopy detection system to above-mentioned
The compressing tablet sample being made is scanned, and is repeated the above steps repeatedly, can be obtained transgene sample and non-transgenic sample too
Hertz spectrum, Main Analysis absorption spectrum of the present invention.Fig. 1 is measuring principle schematic diagram.
（3）The acquisition of experimental data
Compressing tablet sample is scanned using terahertz time-domain spectroscopy detection system, the spectrum such as can be absorbed, reflected.Through seeing
Examine, analysis finds that therefore, the present invention is main to absorbing because different types of corn seed is different to the absorption of THZ ripples
Spectrum is analyzed, for the differentiation of general sample, and absorption spectrum more can be represented significantly.
（4）The pretreatment of experimental data
In Terahertz picture system, can there are different image informations, the especially side in compressing tablet sample for each sample
Edge, the difference of their image information can be more obvious.It would therefore be desirable to data are screened, will be many in scan image
Remaining sample point is removed, and extracts the scanning result figure of corn sample surface（Fig. 3）In, color is most deep, feature most obvious 8
To 10 samples, and their average value is taken, as the absorption spectrum of sample.
（5）The analysis of experimental data absorption spectra
The experimental data of the sample point screened is imported in origin softwares, average value processing first is carried out to data, then will
Data after processing carry out image generation processing, obtain the abosrption spectrogram of the corn of each kind.Such as the jade of each kind of Fig. 4
It is different that rice abosrption spectrogram can distinguish them by comparing the peak value of different cultivars corn.
（6）Mathematical modeling
By above the step of to be merely able to preliminary distinguish be difficult directly to distinguish transgenosis and non-transgenic corn by absorption spectrum,
Need by comparing the methods such as LS-SVM, BPNN, RF, therefrom find an optimal method, carrying out accurate distinguish with this turns base
Cause and non-transgenic corn.
Above procedure is exactly the specific main flow of the present invention, and Fig. 2 is the broad flow diagram of Data acquisition and issuance.
Claims (10)
1. a kind of detection method for distinguishing transgenic corns and non-transgenic corn, its feature comprises the following steps：
Step one, milled processed：Non-transgenic corn particle is put into two hemisphere of high-flux tissue ball milling instrument, powder is carried out
It is broken, non-transgenic corn powder sample is obtained after being fully ground；
Step 2, drying process：By described non-transgenic corn powder sample and the powdered transgenic corns sample bought point
It is not put into different vacuum drying chambers and is fully dried, obtains dry non-transgenic corn powder sample and dry and turn base
Because of corn flour sample；
Step 3, compressing tablet process：The transgenic corns powder of the drying and the non-transgenic corn powder dried are placed in tablet press machine
On mould, apply 15KN power to tablet press machine, obtain compressing tablet sample i.e. non-transgenic corn compressing tablet sample and transgenic corns pressure
Piece sample；
Step 4, terahertz time-domain spectroscopy is positioned over by the transgenic corns compressing tablet sample and non-transgenic corn compressing tablet sample
On the monitor station of detection system, and experimental bench is vacuumized；
Step 5, inputs transgenic corns compressing tablet sample and non-transgenic corn compressing tablet sample in the Terahertz measuring system
Measurement parameter so that the scan area of Terahertz measuring system completely includes all samples to be tested, at the same ensure measurement
Precision；
Step 6, sets measuring condition so that the measurement sample thickness of setting is consistent with actual sample thickness, so as to ensure reality
Test the accuracy of surveyed data；
Step 7, frequency range and analysis mode of the setting Terahertz to scan sample；
Step 8, carries out background scans, to exclude influence of the background to scan sample result to Terahertz monitor station；
Step 9, is then scanned to the compressing tablet sample respectively again, obtains sample Terahertz absorption spectra, i.e. transgenic corns
Compressing tablet sample Terahertz absorption spectra and non-transgenic corn compressing tablet sample Terahertz absorption spectra；
Step 10, pre-processes to gained sample Terahertz absorption spectra, therefrom finds an optimal scheme, comes accurate with this
Distinguish transgenic corns and non-transgenic corn in ground.
2. a kind of detection method for distinguishing transgenic corns and non-transgenic corn according to claim 1, it is characterised in that
The step one is specially：
In the two hemispheres that non-transgenic corn particle is put into high flux ball milling instrument (GT100), then two hemispheres are clamped, to non-
Transgenic corn grain is smashed, and it is 1006rpm, milling time 0.4min to set ball milling instrument rotating speed.
3. a kind of detection method for distinguishing transgenic corns and non-transgenic corn according to claim 1, it is characterised in that
In the step 2：Vacuum drying chamber is D2G-6020；Drying process temperature is 60 DEG C, time 12h.
4. a kind of detection method for distinguishing transgenic corns and non-transgenic corn according to claim 1, it is characterised in that
In the step 3：The diameter of the mould for tabletting press is 12mm, and the compressing tablet sample thickness of extrusion is 1.5mm, and tablet press machine is applied
Plus 15KN power.
5. a kind of detection method for distinguishing transgenic corns and non-transgenic corn according to claim 1, it is characterised in that
In the step 5：In the plane of scanning motion, 3mm is in x, y-axis scanning direction step-length, 10 × 10 points, whole scanning are scanned
Area is 30 × 30mm.
6. a kind of detection method for distinguishing transgenic corns and non-transgenic corn according to claim 1, it is characterised in that：
The measurement sample thickness is set to 1.5mm.
7. a kind of detection method for distinguishing transgenic corns and non-transgenic corn according to claim 1, it is characterised in that
The Terahertz measuring system is 0.3 ~ 4THZ to the frequency range of scan sample, and analysis mode is absorption spectra.
8. a kind of detection method for distinguishing transgenic corns and non-transgenic corn according to claim 1, it is characterised in that：
The step 8 is scanned in the measurement range of setting to Terahertz monitor station background.
9. a kind of detection method for distinguishing transgenic corns and non-transgenic corn according to claim 1, it is characterised in that
The step 9 is specially：Placed in sample stage by direction in length and breadth between compressing tablet sample to be measured, compressing tablet sample between reservation
Gap is not less than 5mm, and the compressing tablet number of samples that single sweep operation is placed is 3, and compressing tablet sample is scanned and obtains transgenic corns
Compressing tablet sample Terahertz absorption spectra and non-transgenic corn compressing tablet sample Terahertz absorption spectra.
10. a kind of detection method that transgenic corns and non-transgenic corn are distinguished using THZ according to claim 1,
It is characterized in that the step 10 is specially：The Terahertz absorption spectra that observation analysis is obtained, takes that color is most deep, feature is most obvious
8 to 10 sample points, take their average value, draw the Terahertz absorption spectra of each kind corn sample, observe their terahertzs
Hereby data are modeled com-parison and analysis in matlab by LS-SVM, BPNN, RF method, therefrom looked for by the feature of absorption spectra
To an optimal model, transgenic corns and non-transgenic corn are accurately distinguished with this.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710188363.6A CN106959284A (en) | 2017-03-27 | 2017-03-27 | A kind of detection method for distinguishing transgenic corns and non-transgenic corn |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710188363.6A CN106959284A (en) | 2017-03-27 | 2017-03-27 | A kind of detection method for distinguishing transgenic corns and non-transgenic corn |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106959284A true CN106959284A (en) | 2017-07-18 |
Family
ID=59471806
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710188363.6A Pending CN106959284A (en) | 2017-03-27 | 2017-03-27 | A kind of detection method for distinguishing transgenic corns and non-transgenic corn |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106959284A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107328735A (en) * | 2017-08-30 | 2017-11-07 | 浙江大学 | Rape species discrimination method based on terahertz light spectral technology |
| CN108051395A (en) * | 2017-11-28 | 2018-05-18 | 北京工商大学 | A kind of maize variety identification method based on THz-ATR spectral techniques |
| CN109001004A (en) * | 2018-07-16 | 2018-12-14 | 湖南农业大学 | Transgene rape standard sample and its method for building up |
| CN110068544A (en) * | 2019-05-08 | 2019-07-30 | 广东工业大学 | Material identification network model training method and tera-hertz spectra substance identification |
| CN112599190A (en) * | 2020-12-17 | 2021-04-02 | 重庆大学 | Method for identifying deafness related genes based on mixed classifier |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105372202A (en) * | 2015-10-27 | 2016-03-02 | 九江学院 | Genetically modified cotton variety recognition method |
| CN106124435A (en) * | 2016-07-04 | 2016-11-16 | 江苏大学 | Based on visible ray, near-infrared, the rice new-old quality inspection device of Terahertz fusion spectral technique and detection method |
| CN106442390A (en) * | 2016-08-29 | 2017-02-22 | 涂闪 | Transgenic soybean classification and identification method based on PCA-SVM algorithm |
-
2017
- 2017-03-27 CN CN201710188363.6A patent/CN106959284A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105372202A (en) * | 2015-10-27 | 2016-03-02 | 九江学院 | Genetically modified cotton variety recognition method |
| CN106124435A (en) * | 2016-07-04 | 2016-11-16 | 江苏大学 | Based on visible ray, near-infrared, the rice new-old quality inspection device of Terahertz fusion spectral technique and detection method |
| CN106442390A (en) * | 2016-08-29 | 2017-02-22 | 涂闪 | Transgenic soybean classification and identification method based on PCA-SVM algorithm |
Non-Patent Citations (1)
| Title |
|---|
| 刘建军: "太赫兹时域光谱技术在转基因物质检测上的识别方法研究", 《中国学位论文全文数据库》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107328735A (en) * | 2017-08-30 | 2017-11-07 | 浙江大学 | Rape species discrimination method based on terahertz light spectral technology |
| CN108051395A (en) * | 2017-11-28 | 2018-05-18 | 北京工商大学 | A kind of maize variety identification method based on THz-ATR spectral techniques |
| CN109001004A (en) * | 2018-07-16 | 2018-12-14 | 湖南农业大学 | Transgene rape standard sample and its method for building up |
| CN110068544A (en) * | 2019-05-08 | 2019-07-30 | 广东工业大学 | Material identification network model training method and tera-hertz spectra substance identification |
| CN110068544B (en) * | 2019-05-08 | 2021-09-17 | 广东工业大学 | Substance identification network model training method and terahertz spectrum substance identification method |
| CN112599190A (en) * | 2020-12-17 | 2021-04-02 | 重庆大学 | Method for identifying deafness related genes based on mixed classifier |
| CN112599190B (en) * | 2020-12-17 | 2024-04-05 | 重庆大学 | Method for identifying deafness-related genes based on mixed classifier |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106959284A (en) | A kind of detection method for distinguishing transgenic corns and non-transgenic corn | |
| Bellon-Maurel et al. | Sensors and measurements in solid state fermentation: a review | |
| CN106248610B (en) | Dynamic, multiple spot grass cultivar identification and authentication method based on terahertz time-domain spectroscopy | |
| Wang et al. | Raman spectroscopic techniques for nondestructive analysis of agri-foods: A state-of-the-art review | |
| CN101887018B (en) | Method for nondestructively measuring main fatty acid content of peanut seeds | |
| CN103344602B (en) | A kind of rice germplasm true and false lossless detection method based near infrared spectrum | |
| Mizrach | Determination of avocado and mango fruit properties by ultrasonic technique | |
| Jiang et al. | Machine learning and application in terahertz technology: A review on achievements and future challenges | |
| CN110542668B (en) | Method for quantitatively analyzing component distribution condition of blade based on terahertz imaging technology | |
| CN103134767B (en) | Method for liquor quality identification through infrared spectrum revision | |
| CN102179375A (en) | Nondestructive detecting and screening method based on near-infrared for crop single-grain components | |
| CN102279168A (en) | Near-infrared spectroscopic technology-based method for fast and undamaged analysis of nutritional quality of whole cottonseed | |
| CN107515203A (en) | The research of near infrared technology quantitative analysis rice single grain amylose content | |
| CN104749132A (en) | Method for measuring content of azodicarbonamide in flour | |
| CN101504363A (en) | Edible fatty acid value detection method based on near-infrared spectrum analysis | |
| CN104076009B (en) | A kind of method for fast measuring of biologic grain far infrared band complex refractivity index | |
| CN105606637A (en) | Method for detecting water content and fat content in abalone through low-field nuclear magnetic resonance technology | |
| CN102353701A (en) | Diagnostic method for insect attacks on crops by utilizing volatile matter | |
| CN105445219A (en) | Method for enhancing absorption spectrum signals of biological sample in Terahertz wave band | |
| CN105486662A (en) | Cottonseed gossypol content non-destructive measurement method based on near-infrared spectrum technology | |
| CN105115910A (en) | Method for detecting protein content distribution in peanuts based on hyperspectral imaging technology | |
| KR100433263B1 (en) | non-destructive analysis method of one seed grain by near infrared reflectance spectroscopy | |
| CN101620065A (en) | Terahertz detection method for stupefacient | |
| CN103439353A (en) | Method for measuring water content of plant leaves | |
| CN102706908B (en) | Modeling method for quick detecting model of interior quality of fruits |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170718 |
|
| WD01 | Invention patent application deemed withdrawn after publication |