CN108507967A - A method of α-and Gamma-Tocopherol content in more peanut seeds of detection - Google Patents
A method of α-and Gamma-Tocopherol content in more peanut seeds of detection Download PDFInfo
- Publication number
- CN108507967A CN108507967A CN201810313039.7A CN201810313039A CN108507967A CN 108507967 A CN108507967 A CN 108507967A CN 201810313039 A CN201810313039 A CN 201810313039A CN 108507967 A CN108507967 A CN 108507967A
- Authority
- CN
- China
- Prior art keywords
- tocopherol content
- gamma
- peanut
- peanut seed
- detection
- 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
- GVJHHUAWPYXKBD-IEOSBIPESA-N α-tocopherol Chemical compound OC1=C(C)C(C)=C2O[C@@](CCC[C@H](C)CCC[C@H](C)CCCC(C)C)(C)CCC2=C1C GVJHHUAWPYXKBD-IEOSBIPESA-N 0.000 title claims abstract description 90
- 235000017060 Arachis glabrata Nutrition 0.000 title claims abstract description 75
- 241001553178 Arachis glabrata Species 0.000 title claims abstract description 75
- 235000010777 Arachis hypogaea Nutrition 0.000 title claims abstract description 75
- 235000018262 Arachis monticola Nutrition 0.000 title claims abstract description 75
- 235000020232 peanut Nutrition 0.000 title claims abstract description 75
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000001514 detection method Methods 0.000 title claims abstract description 17
- WIGCFUFOHFEKBI-UHFFFAOYSA-N gamma-tocopherol Natural products CC(C)CCCC(C)CCCC(C)CCCC1CCC2C(C)C(O)C(C)C(C)C2O1 WIGCFUFOHFEKBI-UHFFFAOYSA-N 0.000 title claims description 54
- 235000010382 gamma-tocopherol Nutrition 0.000 title claims description 50
- 239000002478 γ-tocopherol Substances 0.000 title claims description 50
- QUEDXNHFTDJVIY-DQCZWYHMSA-N γ-tocopherol Chemical compound OC1=C(C)C(C)=C2O[C@@](CCC[C@H](C)CCC[C@H](C)CCCC(C)C)(C)CCC2=C1 QUEDXNHFTDJVIY-DQCZWYHMSA-N 0.000 title claims description 50
- 239000002076 α-tocopherol Substances 0.000 title claims description 44
- 235000004835 α-tocopherol Nutrition 0.000 title claims description 44
- 238000001228 spectrum Methods 0.000 claims abstract description 19
- 238000004497 NIR spectroscopy Methods 0.000 claims abstract description 16
- 238000004458 analytical method Methods 0.000 claims abstract description 3
- 239000000126 substance Substances 0.000 claims description 25
- 229940087168 alpha tocopherol Drugs 0.000 claims description 19
- 229960000984 tocofersolan Drugs 0.000 claims description 19
- 230000003595 spectral effect Effects 0.000 claims description 10
- 238000002329 infrared spectrum Methods 0.000 claims description 9
- 125000001020 α-tocopherol group Chemical group 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000002790 cross-validation Methods 0.000 claims description 3
- 238000001035 drying Methods 0.000 claims description 3
- 230000008030 elimination Effects 0.000 claims description 3
- 238000003379 elimination reaction Methods 0.000 claims description 3
- 235000013601 eggs Nutrition 0.000 claims description 2
- 238000005259 measurement Methods 0.000 claims description 2
- 238000005457 optimization Methods 0.000 claims description 2
- 230000008676 import Effects 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 6
- 238000012360 testing method Methods 0.000 abstract description 5
- 238000012545 processing Methods 0.000 abstract description 3
- 238000004445 quantitative analysis Methods 0.000 abstract description 3
- QUEDXNHFTDJVIY-WENCSYSZSA-N (2s)-2,7,8-trimethyl-2-[(4s,8r)-4,8,12-trimethyltridecyl]-3,4-dihydrochromen-6-ol Chemical compound OC1=C(C)C(C)=C2O[C@](CCC[C@@H](C)CCC[C@H](C)CCCC(C)C)(C)CCC2=C1 QUEDXNHFTDJVIY-WENCSYSZSA-N 0.000 abstract 8
- GVJHHUAWPYXKBD-UHFFFAOYSA-N (±)-α-Tocopherol Chemical compound OC1=C(C)C(C)=C2OC(CCCC(C)CCCC(C)CCCC(C)C)(C)CCC2=C1C GVJHHUAWPYXKBD-UHFFFAOYSA-N 0.000 description 8
- 229930003427 Vitamin E Natural products 0.000 description 4
- 238000003556 assay Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 239000000463 material Substances 0.000 description 4
- 229940046009 vitamin E Drugs 0.000 description 4
- 235000019165 vitamin E Nutrition 0.000 description 4
- 239000011709 vitamin E Substances 0.000 description 4
- 238000004128 high performance liquid chromatography Methods 0.000 description 3
- 238000010606 normalization Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000004611 spectroscopical analysis Methods 0.000 description 2
- 238000012353 t test Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- WRIDQFICGBMAFQ-UHFFFAOYSA-N (E)-8-Octadecenoic acid Natural products CCCCCCCCCC=CCCCCCCC(O)=O WRIDQFICGBMAFQ-UHFFFAOYSA-N 0.000 description 1
- LQJBNNIYVWPHFW-UHFFFAOYSA-N 20:1omega9c fatty acid Natural products CCCCCCCCCCC=CCCCCCCCC(O)=O LQJBNNIYVWPHFW-UHFFFAOYSA-N 0.000 description 1
- QSBYPNXLFMSGKH-UHFFFAOYSA-N 9-Heptadecensaeure Natural products CCCCCCCC=CCCCCCCCC(O)=O QSBYPNXLFMSGKH-UHFFFAOYSA-N 0.000 description 1
- 206010028980 Neoplasm Diseases 0.000 description 1
- ZQPPMHVWECSIRJ-UHFFFAOYSA-N Oleic acid Natural products CCCCCCCCC=CCCCCCCCC(O)=O ZQPPMHVWECSIRJ-UHFFFAOYSA-N 0.000 description 1
- 239000005642 Oleic acid Substances 0.000 description 1
- ISWSIDIOOBJBQZ-UHFFFAOYSA-N Phenol Chemical compound OC1=CC=CC=C1 ISWSIDIOOBJBQZ-UHFFFAOYSA-N 0.000 description 1
- 238000002835 absorbance Methods 0.000 description 1
- 230000002547 anomalous effect Effects 0.000 description 1
- 230000003712 anti-aging effect Effects 0.000 description 1
- 238000009395 breeding Methods 0.000 description 1
- 230000001488 breeding effect Effects 0.000 description 1
- 201000011510 cancer Diseases 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 235000019621 digestibility Nutrition 0.000 description 1
- 238000004817 gas chromatography Methods 0.000 description 1
- 230000036039 immunity Effects 0.000 description 1
- 238000000338 in vitro Methods 0.000 description 1
- QXJSBBXBKPUZAA-UHFFFAOYSA-N isooleic acid Natural products CCCCCCCC=CCCCCCCCCC(O)=O QXJSBBXBKPUZAA-UHFFFAOYSA-N 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003921 oil Substances 0.000 description 1
- ZQPPMHVWECSIRJ-KTKRTIGZSA-N oleic acid Chemical compound CCCCCCCC\C=C/CCCCCCCC(O)=O ZQPPMHVWECSIRJ-KTKRTIGZSA-N 0.000 description 1
- 230000003647 oxidation Effects 0.000 description 1
- 238000007254 oxidation reaction Methods 0.000 description 1
- 230000001766 physiological effect Effects 0.000 description 1
- 239000010773 plant oil Substances 0.000 description 1
- 238000002203 pretreatment Methods 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 238000007634 remodeling Methods 0.000 description 1
- 229940088594 vitamin Drugs 0.000 description 1
- 229930003231 vitamin Natural products 0.000 description 1
- 235000013343 vitamin Nutrition 0.000 description 1
- 239000011782 vitamin Substances 0.000 description 1
- 150000003722 vitamin derivatives Chemical class 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
-
- 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
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
Abstract
The invention discloses the methods of α and gama tocopherol content in a kind of detection peanut seed, belong to peanut processing product quality quick test technique field.It is to carry out infrared diaphanoscopy to peanut seed to be measured that the present invention, which detects the method for α and gama tocopherol content in peanut seed, spectrum after scanning is imported in the peanut seed α of structure and the near-infrared spectroscopy of gama tocopherol content, peanut seed α and gama tocopherol content are obtained through analysis.It is provided by the invention detection peanut seed α and gama tocopherol content method, can be quick, accurate, lossless detection peanut in α and gama tocopherol content, and it is easy to operate, accuracy is high.And the near-infrared spectroscopy R of the detection α and gama tocopherol content of structure2Higher, RMSECV is smaller, prediction effect preferably, it can be achieved that in peanut seed α and gama tocopherol content accurate quantitative analysis.
Description
Technical field
The invention belongs to peanut processing product quality quick test technique fields, and in particular in a kind of detection peanut seed α-and
The method of Gamma-Tocopherol content.
Background technology
Peanut is the important sources of main oil crops and quality plant oil and high digestibility protein in the world.
Vitamin E (Vitamin E) is a kind of liposoluble vitamin, have strengthen immunity, anti-aging, reduce angiocardiopathy and
The effect of cancer morbidity.α-and Gamma-Tocopherol are the important component of vitamin E, the physiological activity of alpha-tocopherol in human body
Highest, but in vitro especially under the high temperature conditions, the oxidation resistance of Gamma-Tocopherol is higher than alpha-tocopherol.
Traditional assay method of vitamin E includes fluorescent spectrometry, high performance liquid chromatography, blocks method, gas chromatography
Deng, of high cost, time-consuming, have certain destructiveness, this hinders the development of peanut homovitamin E breedings to a certain extent, and
Near infrared technology has many advantages, such as at low cost, lossless, quick.Near infrared technology has been applied to the quality-improving of multiple crops,
The near-infrared model of energy Accurate Prediction oleic acid, fat, protein content is successfully established on peanut, but similar peanut always ties up life
Plain E contents or various content of isomer near-infrared models have not been reported so far.
Invention content
Purpose of the present invention is to utilize near infrared spectrometer, accurate quantitative analysis is carried out to peanut seed α-and Gamma-Tocopherol content.
In order to achieve the above object, the technical scheme is that：
A method of detection peanut seed α-and Gamma-Tocopherol content carry out infrared diaphanoscopy to peanut seed to be measured,
Spectrum after scanning is imported in the peanut seed α-of structure and the near-infrared spectroscopy of Gamma-Tocopherol, is spent through analysis
The sub- α-of non-hibernating eggs and Gamma-Tocopherol content.
On the basis of said program, the near-infrared spectroscopy of the peanut seed α-and Gamma-Tocopherol is by with lower section
Method is built-up：
(1) peanut sample of different cultivars, solar drying are collected；
(2) near infrared ray is carried out to above-mentioned peanut sample, collects near infrared light spectrum information；
(3) α-and Gamma-Tocopherol content for detecting all peanut samples respectively, obtain the change of α-and Gamma-Tocopherol content
Value；
(4) chemical score to α-and Gamma-Tocopherol content and (2) middle near infrared spectrum data acquired are fitted spectrum
Processing uses cross-validation abnormal value elimination, by comparing the coefficient of determination (R of model repeatedly2) and standard deviation
(RMSECV) model quality is weighed, best model is screened；
(5) accuracy of model is verified.
On the basis of said program, the near infrared spectrum scanning parameter is：Scanning Spectral range 4000~
12000cm-1(centimetre wave number), scanning times 64 times, resolution ratio 8cm-1。
On the basis of said program, the peanut sample is：
On the basis of said program, the chemical score of the peanut sample alpha-tocopherol content is with predicted value：
The chemical score of the peanut sample Gamma-Tocopherol content is with predicted value：
On the basis of said program,
The optimal spectrum preprocess method of the near-infrared spectroscopy of the alpha-tocopherol content is " first derivative+vector
Normalization ".Spectral range is 7506~4242.8cm-1, dimension 10, the R of model2For 90.05, RMSECV 0.203；
The optimal spectrum preprocess method of the near-infrared spectroscopy of the Gamma-Tocopherol content is " first derivative+vector
Normalization ", Spectral range are 7506~4242.8cm-1, dimension 8, the R of model2For 83.27, RMSECV 0.458.
On the basis of said program, the near infrared spectrum scanning, each sample 30-50, multiple scanning 3 times, and
And peanut is poured out when scanning for the second time and for the third time and is reloaded in specimen cup, to obtain multiple near-infrareds of same sample
Spectrum.
The method of detection peanut seed α-and Gamma-Tocopherol content provided by the invention, can be quick, accurate, lossless
Detect peanut in α-and Gamma-Tocopherol content, and it is easy to operate, accuracy is high.
The near-infrared spectroscopy R for the detection α-and Gamma-Tocopherol content that the present invention is built2Higher, RMSECV is smaller, in advance
Survey effect preferably, it can be achieved that in peanut seed α-and Gamma-Tocopherol accurate quantitative analysis.
Near-infrared spectroscopy data used when depending on establishing model to the prediction effect of sample.Moreover, establishing close
Infrared spectrum model is not that the sample number that uses is The more the better, introduced dry in model with the increase of modeling sample number
Disturbing factor and anomalous differences will increase, and excessive interference information can cover useful information, reduce model performance.The present invention selects
Peanut sample size it is suitable, the compatible degree between different cultivars is preferable, constructed model prediction peanut seed α-and γ-fertility
Phenol content error is small, and accuracy is high.
Description of the drawings
The infrared diaphanoscopy spectrogram of Fig. 1 peanut samples, wherein abscissa represent centimetre wave number (cm-1), ordinate represents
Absorbance；
The near-infrared predicted value of Fig. 2 alpha-tocopherol contents and chemical score scatter plot, wherein abscissa represent actual value, indulge and sit
Mark represents predicted value；
The near-infrared predicted value of Fig. 3 Gamma-Tocopherol contents and chemical score scatter plot, wherein abscissa represent actual value, indulge
Coordinate represents predicted value.
Specific implementation mode
Term as used in the present invention generally has those of ordinary skill in the art usual unless otherwise specified
The meaning of understanding.
With reference to specific embodiment, and with reference to the data further detailed description present invention.Following embodiment only be
It illustrates the present invention, rather than limits the scope of the invention in any way.
Embodiment
Illustrate by taking the MATRIX-I type near infrared spectrometers of German Brooker company production as an example below, but the patent scope of application
Also include the similar products of other manufacturers.
1. materials and methods
1.1 material
The test material used in α-and the near-infrared model of Gamma-Tocopherol content is built, is from peanut product both domestic and external
Kind (being) amounts to 42 parts, as shown in table 1.
Table 1 builds peanut seed sample used in peanut α-and the near-infrared model of Gamma-Tocopherol content
1.2 method
1.2.1 spectra collection
The MATRIX-I type Fourier transforms that modeling spectroscopic data used is produced in German Brooker spectral instrument company
It is acquired near infrared spectrometer.Scanning spectrum area ranging from 4000~12000cm-1, scanning times 64 times, resolution ratio 8cm-1.It opens
Sample is detected after machine preheating 30min.Acquire the sample that peanut seed used in spectrum is natural daylight drying, every part of material about 30-
50, multiple scanning 3 times.The results are shown in Figure 1 for the near infrared spectrum scanning of peanut sample.
1.2.2 α-and Gamma-Tocopherol assay
1.2.2.1 alpha-tocopherol assay
Alpha-tocopherol content in 42 parts of Ecological Property of Peanut Seeds samples is measured using HPLC methods, sample chemical value relevant parameter is shown in Table
2.Alpha-tocopherol content mean value is 5.48mg/100g, and maximum, minimum value is respectively 7.38mg/100g, 4.12mg/100g.Show
It is fine to model peanut sample alpha-tocopherol content luffing, can be used for near-infrared spectroscopy structure.
2 peanut seed alpha-tocopherol content chemical score pertinent statistical parameters of table
1.2.2.2 Gamma-Tocopherol assay
Gamma-Tocopherol content in 42 parts of Ecological Property of Peanut Seeds samples is measured using HPLC methods, sample chemical value relevant parameter is shown in
Table 3.Gamma-Tocopherol content mean value is 4.85mg/100g, and maximum, minimum value is respectively 9.37mg/100g, 1.55mg/100g.
Show that modeling peanut sample Gamma-Tocopherol content luffing is fine, can be used for near-infrared spectroscopy structure.
3 peanut seed Gamma-Tocopherol content chemical score pertinent statistical parameters of table
1.2.3 model construction and optimization
Spectral manipulation and model construction use 5.5 softwares of OPUS of German Brooker MATRIX-I type near infrared spectrometers,
It is optimized with NIR options.Using cross-validation abnormal value elimination (outlier).Selection optimal spectrum pretreatment method,
Optimized spectrum area, dimension, and make further verification.By comparing the coefficient of determination (R of model2) and standard deviation (RMSECV) measurement mould
Type quality.
1.2.3.1 the chemical score and predicted value of peanut sample alpha-tocopherol content
The chemical score and predicted value of each peanut sample alpha-tocopherol content are as shown in table 4.
The chemical score of 4 peanut sample alpha-tocopherol content of table is with predicted value：
Optimized, the optimal spectrum preprocess method of peanut seed alpha-tocopherol content is " first derivative+vector normalizing
Change ".Spectral range is 7506~4242.8cm-1, dimension 10, the R of model2It is 0.203 (Fig. 2) for 90.05, RMSECV.
1.2.3.2 the chemical score and predicted value of peanut sample Gamma-Tocopherol content
The chemical score and predicted value of each peanut sample Gamma-Tocopherol content are as shown in table 5.
The chemical score of 5 peanut sample Gamma-Tocopherol content of table is with predicted value：
Through Automatic Optimal, the optimal spectrum preprocess method of peanut seed Gamma-Tocopherol content is " first derivative+vector
Normalization ".Spectral range is 7506~4242.8cm-1, dimension 8, the R of model2It is 0.458 (Fig. 3) for 83.27, RMSECV.
1.2.4 the verification of model
1.2.4.1 the near-infrared spectroscopy of alpha-tocopherol content is examined
6 parts of peanut sample external samples separately are taken, testing model prediction effect, the results are shown in Table 6.Alpha-tocopherol content is inclined
Difference is -0.6~0.4mg/100g, and prediction deviation is relatively low.Paired data t tests, two groups of data are carried out to chemical score and predicted value
Equal value difference is 0.0159, degree of freedom 5, and t values are 0.112<t0.05=2.571, two groups of data differences are not notable.
6 peanut seed sample alpha-tocopherol content chemical score of table is compared with predicted value
| Serial number | Chemical score | Predicted value | Bias |
| A3PI210555 | 6.10 | 6.38 | 0.28 |
| A5PI331189 | 5.40 | 5.31 | 0.31 |
| A7PI219824 | 5.81 | 5.72 | -0.09 |
| A19PI219823 | 4.93 | 5.33 | 0.40 |
| A4PI298639 | 6.00 | 5.40 | -0.60 |
| A54PI262133 | 4.53 | 4.54 | 0.01 |
1.2.4.2 the near-infrared spectroscopy of Gamma-Tocopherol content is examined
6 parts of peanut sample external samples separately are taken, testing model prediction effect, the results are shown in Table 7.Gamma-Tocopherol content
Deviation is -1.35~2.25mg/100g, and prediction deviation is relatively low.Paired data t tests are carried out to chemical score and predicted value, two groups
Data mean value difference is -0.7061, degree of freedom 5, and t values are 1.272<t0.05=2.571, two groups of data differences are not notable.
7 peanut seed sample Gamma-Tocopherol content chemical score of table is compared with predicted value
| Serial number | Chemical score | Predicted value | Bias |
| A3PI210555 | 4.64 | 5.63 | 0.99 |
| A9PI210555 | 2.9 | 3.8 | 0.9 |
| A17PI263133 | 4.37 | 3.97 | -0.4 |
| A20PI331193 | 5.09 | 6.91 | 1.82 |
| A34PI337308 | 5.6 | 4.25 | -1.35 |
| A19PI219823 | 4.8 | 7.05 | 2.25 |
The above described is only a preferred embodiment of the present invention, being not that the invention has other forms of limitations, appoint
What those skilled in the art changed or be modified as possibly also with the technology contents of the disclosure above equivalent variations etc.
Imitate embodiment.But it is every without departing from technical solution of the present invention content, according to the technical essence of the invention to above example institute
Any simple modification, equivalent variations and the remodeling made, still fall within the protection domain of technical solution of the present invention.
Claims (7)
1. a kind of method of detection peanut seed α-and Gamma-Tocopherol content, it is characterised in that：Peanut seed to be measured is carried out close
Infrared scan imports the spectrum after scanning in the peanut seed α-of structure and the near-infrared spectroscopy of Gamma-Tocopherol content,
Peanut seed α-and Gamma-Tocopherol content are obtained through analysis.
2. the method for detection peanut seed α-and Gamma-Tocopherol content according to claim 1, it is characterised in that：The flower
The sub- α-of non-hibernating eggs and the near-infrared spectroscopy of Gamma-Tocopherol content are built-up by following methods：
(1) peanut sample of different cultivars, solar drying are collected；
(2) near infrared ray is carried out to above-mentioned peanut sample, collects near infrared light spectrum information；
(3) α-and Gamma-Tocopherol content for detecting all peanut samples respectively, obtain the chemical score of α-and Gamma-Tocopherol content；
(4) chemical score to α-and Gamma-Tocopherol content and (2) middle near infrared spectrum data acquired are fitted at spectrum
Reason establishes model with Partial Least Squares optimization, uses cross-validation abnormal value elimination repeatedly, by comparing determining for model
Determine coefficient (R2) and standard deviation (RMSECV) measurement model quality, screen best model；
(5) accuracy of model is verified.
3. the method for detection peanut seed α-and Gamma-Tocopherol content according to claim 1 or claim 2, it is characterised in that：
The near infrared spectrum scanning parameter is：Scan 4000~12000cm of Spectral range-1(centimetre wave number), scanning times 64
It is secondary, resolution ratio 8cm-1。
4. the method for detection peanut seed α-and Gamma-Tocopherol content according to claim 3, it is characterised in that：
The peanut sample is：
5. the method for detection peanut seed α-and Gamma-Tocopherol content according to claim 4, it is characterised in that：
The chemical score of the peanut sample alpha-tocopherol content is with predicted value：
The chemical score of the peanut sample Gamma-Tocopherol content is with predicted value：
6. the method for detection peanut seed α-and Gamma-Tocopherol content according to claim 5, it is characterised in that：
The optimal spectrum preprocess method of the near-infrared spectroscopy of the alpha-tocopherol content is " first derivative+vector normalizing
Change ".Spectral range is 7506~4242.8cm-1, dimension 10, the R of model2For 90.05, RMSECV 0.203；
The optimal spectrum preprocess method of the near-infrared spectroscopy of the Gamma-Tocopherol content is " first derivative+vector normalizing
Change ", Spectral range is 7506~4242.8cm-1, dimension 8, the R of model2For 83.27, RMSECV 0.458.
7. according to the method for any one of the claim 1~6 detection peanut seed α-and Gamma-Tocopherol content, feature exists
In：The near infrared spectrum scanning, each sample 30-50, multiple scanning 3 times, and second is wanted with when scanning for the third time
Peanut is poured out and is reloaded in specimen cup, to obtain multiple near infrared spectrums of same sample.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810313039.7A CN108507967A (en) | 2018-04-09 | 2018-04-09 | A method of α-and Gamma-Tocopherol content in more peanut seeds of detection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810313039.7A CN108507967A (en) | 2018-04-09 | 2018-04-09 | A method of α-and Gamma-Tocopherol content in more peanut seeds of detection |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108507967A true CN108507967A (en) | 2018-09-07 |
Family
ID=63381001
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810313039.7A Pending CN108507967A (en) | 2018-04-09 | 2018-04-09 | A method of α-and Gamma-Tocopherol content in more peanut seeds of detection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108507967A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101887018A (en) * | 2009-05-13 | 2010-11-17 | 山东省花生研究所 | Method for nondestructively measuring main fatty acid content of peanut seeds |
| CN102590129A (en) * | 2012-01-11 | 2012-07-18 | 中国农业科学院农产品加工研究所 | Method for detecting content of amino acid in peanuts by near infrared method |
| CN102879353A (en) * | 2012-09-19 | 2013-01-16 | 中国农业科学院农产品加工研究所 | Near infrared detection method for contents of protein components in peanut |
| CN104502475A (en) * | 2014-12-12 | 2015-04-08 | 山东省花生研究所 | Simple method for extracting and determining peanut fatty acids |
| EP3084395A1 (en) * | 2013-12-20 | 2016-10-26 | Can Technologies, Inc. | Particle score calibration |
| CN107144547A (en) * | 2017-05-11 | 2017-09-08 | 湖北国科高新技术有限公司 | A kind of method of tocopherol content in utilization near infrared spectrum quick test cabbage type rape seed |
-
2018
- 2018-04-09 CN CN201810313039.7A patent/CN108507967A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101887018A (en) * | 2009-05-13 | 2010-11-17 | 山东省花生研究所 | Method for nondestructively measuring main fatty acid content of peanut seeds |
| CN102590129A (en) * | 2012-01-11 | 2012-07-18 | 中国农业科学院农产品加工研究所 | Method for detecting content of amino acid in peanuts by near infrared method |
| CN102879353A (en) * | 2012-09-19 | 2013-01-16 | 中国农业科学院农产品加工研究所 | Near infrared detection method for contents of protein components in peanut |
| EP3084395A1 (en) * | 2013-12-20 | 2016-10-26 | Can Technologies, Inc. | Particle score calibration |
| CN104502475A (en) * | 2014-12-12 | 2015-04-08 | 山东省花生研究所 | Simple method for extracting and determining peanut fatty acids |
| CN107144547A (en) * | 2017-05-11 | 2017-09-08 | 湖北国科高新技术有限公司 | A kind of method of tocopherol content in utilization near infrared spectrum quick test cabbage type rape seed |
Non-Patent Citations (3)
| Title |
|---|
| SEMIHOTLES: "《食物成分与食品添加剂分析方法》", 31 August 2008, 中国轻工业出版社 * |
| 刘翠玲等: "《近红外光谱技术在食品品质检测方法中的研究》", 31 January 2016, 机械工业出版社 * |
| 张建成等: ""花生自然风干种子油酸、亚油酸和棕榈酸含量的近红外分析模型构建"", 《中国农学通报》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102179375B (en) | Nondestructive detecting and screening method based on near-infrared for crop single-grain components | |
| Kimuli et al. | Application of SWIR hyperspectral imaging and chemometrics for identification of aflatoxin B1 contaminated maize kernels | |
| CN108680515B (en) | Single-grain rice amylose quantitative analysis model construction and detection method thereof | |
| CN104865194A (en) | Detection apparatus and method for pesticide residues in vegetable based on near infrared, fluorescence and polarization multi-spectrum | |
| CN106706553A (en) | Method for quick and non-destructive determination of content of amylase in corn single grains | |
| CN105717066B (en) | A kind of near infrared spectrum identification model based on weighted correlation coefficient | |
| CN103344602A (en) | Nondestructive testing method for rice idioplasm authenticity based on near infrared spectrum | |
| CN108169169A (en) | A kind of camellia oil based on near-infrared spectrum technique mixes pseudo- rapid detection method | |
| CN107515203A (en) | The research of near infrared technology quantitative analysis rice single grain amylose content | |
| CN106018335A (en) | Method for nondestructively determining content of phytic acid in whole cottonseed based on near infrared spectroscopy | |
| CN105486662A (en) | Cottonseed gossypol content non-destructive measurement method based on near-infrared spectrum technology | |
| CN109142263A (en) | A kind of component dispersing uniformity on-line testing method of solid propellant preparation process | |
| CN108548792A (en) | A kind of fast non-destructive detection method of peanut kernel soluble sugar content | |
| CN108107019A (en) | A kind of method that versicolorin content in corn is quickly detected based near infrared spectroscopy | |
| Arslan et al. | NIR spectroscopy coupled chemometric algorithms for rapid antioxidants activity assessment of Chinese dates (Zizyphus Jujuba Mill.) | |
| CN106018321A (en) | Establishment method for single corn seed protein detection model and application of establishment method | |
| CN108169168A (en) | Test and analyze rice grain protein content mathematical model and construction method and application | |
| Hirri et al. | The use of Fourier transform mid infrared (FT-MIR) spectroscopy for detection and estimation of extra virgin olive oil adulteration with old olive oil | |
| CN105675538B (en) | A kind of detection method of oil cake of flax seed nutrient | |
| CN108318446A (en) | It is a kind of detection the total content of vitamin E of peanut seed near-infrared spectroscopy and application | |
| CN107121408A (en) | The quick nondestructive discrimination method of edible vegetable oil kind | |
| CN109406447A (en) | A kind of near infrared detection method of tannin in sorghum | |
| CN106706554A (en) | Method for rapidly and nondestructively determining content of straight-chain starch of corn single-ear grains | |
| CN109073546A (en) | For detecting the existing method and apparatus of mycotoxin in cereal | |
| CN108507967A (en) | A method of α-and Gamma-Tocopherol content in more peanut seeds of detection |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180907 |
|
| RJ01 | Rejection of invention patent application after publication |