CN107505350A - A kind of grape-kernel oil based on low field nuclear-magnetism mixes pseudo- method for quick identification - Google Patents
A kind of grape-kernel oil based on low field nuclear-magnetism mixes pseudo- method for quick identification Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N24/00—Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects
- G01N24/08—Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects by using nuclear magnetic resonance
Abstract
The present invention relates to a kind of grape-kernel oil based on low field nuclear-magnetism to mix pseudo- method for quick identification, suitable for grape-kernel oil and the discriminating for mixing pseudo- grape-kernel oil.This method is using low-field nuclear magnetic resonance analyzer as main tools for measurement, with grape-kernel oil and the relaxation spectrum data for mixing pseudo- grape-kernel oil be distinguished as mainly differentiate foundation, using NMR signal as main study subject, realize grape-kernel oil with Mathematical Model Analysis method and mix the quick and precisely discriminating of pseudo- grape-kernel oil.The inventive method has the advantages that simple to operate, result precision height, favorable reproducibility, stability are high and time-consuming short.
Description
Technical field
The invention belongs to Safety of Food Quality field, and in particular to a kind of grape-kernel oil based on low field nuclear-magnetism is mixed pseudo- quick
Discrimination method.
Background technology
Grape is one of plant most ancient in the world, and one of maximum fruit crop of yield, wherein 85% grape
For making wine, and 20 ~ 30% grape pip slag can be produced in Wine-making technique, contain 8% ~ 20% grease in grape pip again,
And its aliphatic acid composition function is stronger, main component is a variety of unrighted acids such as oleic acid, linoleic acid, leukotrienes, its
In mainly based on linoleic acid, content reaches 58% ~ 78%, all higher than the content of general edible oil, is a kind of excellent functionality
Edible oil and fat.In addition, there is the higher total polyphenols material of content in grape-kernel oil, wherein most important polyphenol active material is
Anthocyanidin, it is to be currently known the most strong natural of effect.Anthocyanidin can be shown by removing free radical unnecessary in vivo
The raising body anti-aging ability of work, and improve cardiac function, so as to strengthen the ability of human body resistance reaction, therefore grape
Seed oil more has edible nourishment health care value and medical functions.Because unsaturated fatty acid content is higher in grape-kernel oil, again
Containing Polyphenols antioxidant content, so the squeezing of in general high temperature, organic solvent extraction etc. in the production process of extraction grease
Method is not appropriate for producing high-quality grape-kernel oil, and greatly improving it the methods of low-temperature cold pressing and supercritical extract is produced into
This, causes commercial glucose seed oil expensive.Some illegal businessman are made profit as one's only aim, and the relatively low edible oil and fat of production cost are doped into
Sold in grape-kernel oil, to reduce grape-kernel oil production cost, obtain larger profit margin.Although food security aspect this
Kind behavior does not have large effect to consumer, but the feature of grape-kernel oil can significantly have a greatly reduced quality, to consumer's
Rights and interests produce larger negative effect.So a kind of quick determination method gesture is developed must for the pseudo- grease mixed of grape-kernel oil
OK.
Low field nuclear-magnetism technology is a kind of relaxation spectral analysis technology that magnetic resonance occurs based on atomic nucleus, in field of food
Using mainly sample grease and water grading information detection.Its detection and analysis speed is fast, efficiency high, sample nondestructive, processing
Simplicity, detection device is simple, environment-friendly.The context of detection of pseudo- grease is being mixed, its fatty relaxation spectrum characteristic peak can be utilized
Change, with reference to data analysis and stoechiometric process, differentiate that it is mixed pseudo- grease kind, obtains mixing the information such as pseudo- amount.
The content of the invention
It is an object of the invention to provide a kind of grape-kernel oil based on low field nuclear-magnetism to mix pseudo- method for quick identification.
The purpose of the present invention is achieved through the following technical solutions：
A kind of grape-kernel oil based on low field nuclear-magnetism mixes pseudo- method for quick identification, comprises the following steps：
（1）Low-field nuclear magnetic resonance analyzer gathers signal：Weigh appropriate grape-kernel oil and mix the Can Wei Portugals of pseudo- a certain type of oil
Grape seed oil sample this addition nuclear magnetic tube bottom, is detected in low-field nuclear magnetic resonance analyzer.
（2）Grape-kernel oil and the foundation for mixing pseudo- grape-kernel oil relaxation spectrum data storehouse：It is soft that nuclear magnetic resonance spectroscopy is stepped with knob
The free induction index attenuation curve that part obtains to low-field nuclear magnetic resonance analyzer measurement carries out reverse simulation, can obtain oil sample
Multicomponent relaxation collection of illustrative plates（T2）.Choose grape-kernel oil and mix representative one in pseudo- grape-kernel oil sample relaxation spectrum data
Individual relaxation peak figure spectrum or the representative relaxation collection of illustrative plates that multiple relaxation peak figures spectrum is obtained to single sample by computing, then through quality
Standard diagram is used as after normalized, grape-kernel oil is established and mixes the relaxation spectrum data storehouse of pseudo- grape-kernel oil.
（3）Grape-kernel oil mixes the pseudo- foundation for differentiating model：At SPSS16.0, Origin9.0 and Excel data collection of illustrative plates
Reason software carries out data prediction to grape-kernel oil with the relaxation collection of illustrative plates for mixing pseudo- grape-kernel oil, then maintenance data preprocess method
Establish grape-kernel oil and differentiate model with the puppet of mixing for mixing pseudo- grape-kernel oil.
（4）The application of model：Testing sample is taken by step（1）Signal acquisition is carried out, obtained sample relaxation collection of illustrative plates is entered
Line number Data preprocess, with step（3）In grape-kernel oil mix that pseudo- model judges sample mix puppet.
By such scheme, step（1）In mix a certain type of oil mixed described in pseudo- grape-kernel oil of pseudo- a certain type of oil
It is soybean oil, corn oil, Rice oil, sunflower oil, camellia seed oil, rapeseed oil.It is described to mix pseudo- grape-kernel oil and refer to add respectively
The grape pip miscellas of other types oil.
By such scheme, step（1）Middle low-field nuclear magnetic resonance analyzer is MicroMR-CL-1 types, magnetic field intensity 0.5T；
Running parameter is：The M of nuclear-magnetism centre frequency 21, stand-by period TW2000 ms, echo time TE 0.1 ms, echo number NECH：
18000, sample frequency SW：333.33kHz sampling number TD：360000, accumulative frequency：2 times, testing sample about 1g, each
Sample is repeatedly.
By such scheme, step（2）In computing used refer to plus and processing, or weighting processing, or average treatment, or weighting be flat
Handle.
By such scheme, step（3）Described in data preprocessing method be PCA, hierarchial-cluster analysis,
PLS discriminant analysis, SVMs, recurrence and classification tree or random forest method.
The present invention carries out grape-kernel oil using low-field nuclear magnetic resonance analyzer combination chemometrics method and mixes the quick of puppet
Examination.The present invention with pseudo- grape-kernel oil sample is mixed to grape-kernel oil first by carrying out low-field nuclear magnetic resonance signal acquisition, grape
Seed oil and the relaxation spectrum data storehouse for mixing pseudo- grape-kernel oil, data are then carried out with being established after processing with chemometrics method
Grape-kernel oil and the puppet of mixing in the relaxation spectrum data storehouse for mixing pseudo- grape-kernel oil differentiate model, to carry out lossless mix to unknown oil sample
Puppet differentiates, simple to operate, quickly, can effectively realize that grape-kernel oil mixes the examination of puppet.
Grape-kernel oil provided by the invention and the quick detection discrimination method for mixing pseudo- grape-kernel oil sample have advantages below：
（1）It is simple to operate, to operating personnel without particular/special requirement；
（2）Quickly, it is lossless, it is short without sample pre-treatments, sample detection time；
（3）Environment-friendly, detection process is without largely using organic reagent.
Brief description of the drawings
Fig. 1 is that grape-kernel oil is mixed pseudo- soybean oil principal component scores figure and mixed and pseudo- differentiates model；
Fig. 2 is that grape-kernel oil is mixed pseudo- corn oil principal component scores figure and mixed and pseudo- differentiates model；
Fig. 3 is that grape-kernel oil is mixed pseudo- Rice oil principal component scores figure and mixed and pseudo- differentiates model；
Fig. 4 is that grape-kernel oil is mixed pseudo- sunflower oil principal component scores figure and mixed and pseudo- differentiates model；
Fig. 5 is that grape-kernel oil is mixed pseudo- camellia seed oil principal component scores figure and mixed and pseudo- differentiates model；
Fig. 6 is that grape-kernel oil is mixed pseudo- rapeseed oil principal component scores figure and mixed and pseudo- differentiates model；
The unknown grape-kernel oils of Fig. 7 mix the PC of pseudo- soybean oil samples1And PC2Shot chart；
The unknown grape-kernel oils of Fig. 8 mix the PC of pseudo- corn oil samples1And PC2Shot chart；
The unknown grape-kernel oils of Fig. 9 mix the PC of pseudo- rice oil samples1And PC2Shot chart.
Embodiment
The embodiment of the present invention is described in detail, it is necessary to explains below, it is described herein specifically
Embodiment is merely to illustrate and explain the present invention, and is not intended to limit the invention.
The grape-kernel oil of embodiment 1 is mixed pseudo- soybean oil and differentiated
The grape-kernel oil of low field nuclear-magnetism mixes pseudo- soybean oil method for quick identification, comprises the following steps：
（1）Low-field nuclear magnetic resonance analyzer gathers signal：Prepare pure 5, the grape-kernel oil sample of different brands certified products, puppet is mixed in definition
Measure as 0%, it is 100% that pseudo- amount is mixed in 5 different brands pure soy beans definition.Prepare the mould of different proportion respectively according to mass percent
Plan mixes pseudo- oil sample, i.e., mixes pure soy bean in grape-kernel oil in 10%, 20%, 30%, 40% and 50% ratio, altogether 135 samples
Product.The pure grape-kernel oils of about 1g, pure soy bean are weighed respectively and mixes the pseudo- grape-kernel oil sample mixed of pseudo- soybean oil adds nuclear magnetic tube bottom
End, is detected in low-field nuclear magnetic resonance analyzer.Low-field nuclear magnetic resonance analyzer is MicroMR-CL-1 types, magnetic field intensity
0.5T；Running parameter is：Nuclear-magnetism centre frequency 21 M, stand-by period TW 2000 ms, echo time TE 0.1 ms, echo
Number NECH：18000, sample frequency SW：333.33kHz sampling number TD：360000, accumulative frequency：2 times, each sample weight
It is multiple 3 times.
（2）Grape-kernel oil and the foundation for mixing pseudo- grape-kernel oil relaxation spectrum data storehouse：It is soft that nuclear magnetic resonance spectroscopy is stepped with knob
The free induction index attenuation curve that part obtains to low-field nuclear magnetic resonance analyzer measurement carries out reverse simulation, can obtain oil sample
Multicomponent relaxation collection of illustrative plates（T2）.The initial data of acquisition is the multicomponent relaxation collection of illustrative plates of oil sample, and single sample is chosen by observing
Representative relaxation collection of illustrative plates, standard diagram is then used as after mass normalisation is handled, establishes 5 grape-kernel oils, 5 soybean oils
With 125 relaxation for mixing pseudo- grape-kernel oil spectrum data storehouses.
（3）Grape-kernel oil mixes the pseudo- foundation for differentiating model：5 grape-kernel oils, 5 soybean oils and 125 are mixed into pseudo- grape
After the relaxation spectrum data Cooley of seed oil carries out integrating peak areas with Origin9.0 graphics processing platforms, when presetting the starting of peak 1
Between, the summit time of peak 1, the end time of peak 1, the peak area of peak 1, the peak ratio of peak 1, the initial time of peak 2, the summit time of peak 2, the knot of peak 2
Beam time, the peak area of peak 2, the peak ratio of peak 2, the initial time of peak 3, the summit time of peak 3, the end time of peak 3, the peak area of peak 3, peak 3
15 variables of peak ratio, establish grape-kernel oil with SPSS16.0 and Excel and mix mixing for pseudo- soybean oil and pseudo- differentiate model.To grape
The low field magnetic relaxation characteristics data that seed oil mixes pseudo- soybean oil are analyzed, and the principal component expression formula for establishing each index is as follows：
（Use F1、F2、F3Represent three common factors, Z1-Z15The canonical variable after canonical transformation is represented respectively）
F1=-0.281*Z1-0.279*Z2-0.266*Z3-0.340*Z4+0.195*Z5+0.343*Z6+0.301*Z7+0.238*Z8-
0.144*Z9-0.188*Z10+0.238*Z11+0.320*Z12+0.315*Z13-0.101*Z14+0.171*Z15；
F2=0.196*Z1+0.186*Z2+0.147*Z3-0.091*Z4+0.279*Z5-0.064*Z6+0.119*Z7+0.320*Z8-
0.375*
Z9+0.368*Z10+0.320*Z11-0.120*Z12-0.083*Z13-0.392*Z14-0.381*Z15；
F3=0.301*Z1+0.317*Z2+0.364*Z3-0.079*Z4-0.213*Z5+0.050*Z6+0.187*Z7-0.187*Z8-
0.348*
Z9-0.330*Z10-0.187*Z11+0.190*Z12+0.105*Z13-0.346*Z14+0.348*Z15。
With PC1、PC2Comprehensive evaluation index score value（F1、F2）The principal component that drafting grape-kernel oil mixes pseudo- soybean oil obtains
Component, as shown in accompanying drawing Fig. 1.
（4）The application of model：Unknown testing sample is taken by step（1）Signal acquisition is carried out, to obtained sample relaxation diagram
Spectrum carries out data prediction, with step（3）In grape-kernel oil mix that pseudo- model judges sample mix puppet.Existed according to unknown sample
Position in shot chart（As shown in accompanying drawing Fig. 7）, can substantially judge 3 unknown samples and pure grape-kernel oil score have it is aobvious
Difference is write, can substantially judge that it is respectively close to 20%, 40% and to mix pseudo- ratio according to its position in principal component scores figure
50%, this truly mixes pseudo- concentration with it（23.80%、36.12%、47.96%）And be consistent.Illustrate that this method not only can be to Portugal
Whether grape seed oil mixes pseudo- progress qualitative analysis, can also realize that grape-kernel oil mixes the preliminary quantitative forecast of pseudo- ratio.
The grape-kernel oil of embodiment 2 is mixed pseudo- corn oil and differentiated
The grape-kernel oil of low field nuclear-magnetism mixes pseudo- corn oil method for quick identification, comprises the following steps：
（1）Low-field nuclear magnetic resonance analyzer gathers signal：Prepare pure 5, the grape-kernel oil sample of certified products, and respectively by 5 pure corns
Oil is with 10%, 20%, 30%, 40% and 50%（Mass percent）Mix in grape-kernel oil, altogether 135 samples.About 1g is weighed respectively
Pure grape-kernel oil, pure corn oil and mix the pseudo- grape-kernel oil sample mixed of pseudo- corn oil and add nuclear magnetic tube bottom, be total in low field nuclear-magnetism
Detected in vibration analysis instrument.Low-field nuclear magnetic resonance analyzer is MicroMR-CL-1 types, magnetic field intensity 0.5T；Running parameter
For：Nuclear-magnetism centre frequency 21 M, stand-by period TW 2000 ms, echo time TE 0.1 ms, echo number NECH：18000
It is individual, sample frequency SW：333.33kHz sampling number TD：360000, accumulative frequency：2 times, each sample is repeated 3 times.
（2）Grape-kernel oil and the foundation for mixing pseudo- grape-kernel oil relaxation spectrum data storehouse：It is soft that nuclear magnetic resonance spectroscopy is stepped with knob
The free induction index attenuation curve that part obtains to low-field nuclear magnetic resonance analyzer measurement carries out reverse simulation, can obtain oil sample
Multicomponent relaxation collection of illustrative plates（T2）.The initial data of acquisition is the multicomponent relaxation collection of illustrative plates of oil sample, and single sample is chosen by observing
Representative relaxation collection of illustrative plates, standard diagram is then used as after mass normalisation is handled, establishes 5 grape-kernel oils, 5 corn oils
With 125 relaxation for mixing pseudo- grape-kernel oil spectrum data storehouses.
（3）Grape-kernel oil mixes the pseudo- foundation for differentiating model：5 grape-kernel oils, 5 corn oils and 125 are mixed into pseudo- grape
After the relaxation spectrum data Cooley of seed oil carries out integrating peak areas with Origin9.0 graphics processing platforms, when presetting the starting of peak 1
Between, the summit time of peak 1, the end time of peak 1, the peak area of peak 1, the peak ratio of peak 1, the initial time of peak 2, the summit time of peak 2, the knot of peak 2
Beam time, the peak area of peak 2, the peak ratio of peak 2, the initial time of peak 3, the summit time of peak 3, the end time of peak 3, the peak area of peak 3, peak 3
15 variables of peak ratio, establish grape-kernel oil with SPSS16.0 and Excel and mix mixing for pseudo- corn oil and pseudo- differentiate model.To grape
The low field magnetic relaxation characteristics data that seed oil mixes pseudo- corn oil are analyzed, and the principal component expression formula for establishing each index is as follows：
（Use F1、F2、F3Represent three common factors, Z1-Z15The canonical variable after canonical transformation is represented respectively）
F1=-0.278*Z1-0.277*Z2-0.279*Z3+0.152*Z4+0.145*Z5+0.379*Z6+0.293*Z7+0.272*Z8+
0.026*Z9-0.180*Z10+0.272*Z11+0.305*Z12+0.364*Z13+0.212*Z14+0.207*Z15；
F2=0.292*Z1+0.287*Z2+0.301*Z3-0.194*Z4-0.198*Z5+0.051*Z6+0.340*Z7+0.356*Z8+
0.150*
Z9+0.339*Z10+0.356*Z11+0.157*Z12+0.166*Z13-0.321*Z14+0.035*Z15；
F3=-0.198*Z1-0.186*Z2-0.153*Z3+0.360*Z4+0.351*Z5-0.103*Z6+0.071*Z7+0.125*Z8+
0.397*
Z9+0.321*Z10+0.125*Z11-0.296*Z12-0.058*Z13-0.284*Z14-0.414*Z15。
With PC1、PC2Comprehensive evaluation index score value（F1、F2）The principal component that drafting grape-kernel oil mixes pseudo- corn oil obtains
Component, as shown in accompanying drawing Fig. 2.
（4）The application of model：Unknown testing sample is taken by step（1）Signal acquisition is carried out, to obtained sample relaxation diagram
Spectrum carries out data prediction, with step（3）In grape-kernel oil mix that pseudo- model judges sample mix puppet.Existed according to unknown sample
Position in shot chart（As shown in accompanying drawing Fig. 8）, can substantially judge 3 unknown samples and pure grape-kernel oil score have it is aobvious
Difference is write, can substantially judge that it is respectively close to 20%, 20% and to mix pseudo- ratio according to its position in principal component scores figure
40%, this truly mixes pseudo- concentration with it（17.80%、23.53%、41.36%）And be consistent.Illustrate that this method not only can be to Portugal
Whether grape seed oil mixes pseudo- progress qualitative analysis, can also realize that grape-kernel oil mixes the preliminary quantitative forecast of pseudo- ratio.
The grape-kernel oil of embodiment 3 is mixed pseudo- Rice oil and differentiated
The grape-kernel oil of low field nuclear-magnetism mixes pseudo- Rice oil method for quick identification, comprises the following steps：
（1）Low-field nuclear magnetic resonance analyzer gathers signal：Prepare pure 5, the grape-kernel oil sample of certified products, and respectively by 5 pure rice
Oil is with 10%, 20%, 30%, 40% and 50%（Mass percent）Mix in grape-kernel oil, altogether 135 samples.About 1g is weighed respectively
Pure grape-kernel oil, pure Rice oil and mix the pseudo- grape-kernel oil sample mixed of pseudo- Rice oil and add nuclear magnetic tube bottom, be total in low field nuclear-magnetism
Detected in vibration analysis instrument.Low-field nuclear magnetic resonance analyzer is MicroMR-CL-1 types, magnetic field intensity 0.5T；Running parameter
For：Nuclear-magnetism centre frequency 21 M, stand-by period TW 2000 ms, echo time TE 0.1 ms, echo number NECH：18000
It is individual, sample frequency SW：333.33kHz sampling number TD：360000, accumulative frequency：2 times, each sample is repeated 3 times.
（2）Grape-kernel oil and the foundation for mixing pseudo- grape-kernel oil relaxation spectrum data storehouse：It is soft that nuclear magnetic resonance spectroscopy is stepped with knob
The free induction index attenuation curve that part obtains to low-field nuclear magnetic resonance analyzer measurement carries out reverse simulation, can obtain oil sample
Multicomponent relaxation collection of illustrative plates（T2）.The initial data of acquisition is the multicomponent relaxation collection of illustrative plates of oil sample, and single sample is chosen by observing
Representative relaxation collection of illustrative plates, standard diagram is then used as after mass normalisation is handled, establishes 5 grape-kernel oils, 5 Rice oils
With 125 relaxation for mixing pseudo- grape-kernel oil spectrum data storehouses.
（3）Grape-kernel oil mixes the pseudo- foundation for differentiating model：5 grape-kernel oils, 5 Rice oils and 125 are mixed into pseudo- grape
After the relaxation spectrum data Cooley of seed oil carries out integrating peak areas with Origin9.0 graphics processing platforms, when presetting the starting of peak 1
Between, the summit time of peak 1, the end time of peak 1, the peak area of peak 1, the peak ratio of peak 1, the initial time of peak 2, the summit time of peak 2, the knot of peak 2
Beam time, the peak area of peak 2, the peak ratio of peak 2, the initial time of peak 3, the summit time of peak 3, the end time of peak 3, the peak area of peak 3, peak 3
15 variables of peak ratio, establish grape-kernel oil with SPSS16.0 and Excel and mix mixing for pseudo- Rice oil and pseudo- differentiate model.To grape
The low field magnetic relaxation characteristics data that seed oil mixes pseudo- Rice oil are analyzed, and the principal component expression formula for establishing each index is as follows：
（Use F1、F2Represent two common factors, Z1-Z15The canonical variable after canonical transformation is represented respectively）
F1=0.246*Z1+0.244*Z2+0.243*Z3+0.236*Z4+0.237*Z5+0.259*Z6+0.276*Z7+0.279*Z8+
0.295*Z9+0.295*Z10+0.278*Z11+0.249*Z12-0.009*Z13-0.295*Z14-0.295*Z15；
F2=-0.284*Z1-0.294*Z2-0.316*Z3-0.242*Z4-0.245*Z5+0.275*Z6+0.204*Z7+0.177*Z8+
0.038*
Z9+0.032*Z10+0.182*Z11+0.293*Z12+0.585*Z13-0.028*Z14-0.030*Z15。
With PC1、PC2Comprehensive evaluation index score value（F1、F2）The principal component that drafting grape-kernel oil mixes pseudo- corn oil obtains
Component, as shown in accompanying drawing Fig. 3.
（4）The application of model：Unknown testing sample is taken by step（1）Signal acquisition is carried out, to obtained sample relaxation diagram
Spectrum carries out data prediction, with step（3）In grape-kernel oil mix that pseudo- model judges sample mix puppet.Existed according to unknown sample
Position in shot chart（As shown in accompanying drawing Fig. 9）, can substantially judge 3 unknown samples and pure grape-kernel oil score have it is aobvious
Difference is write, can substantially judge that it is respectively close to 20%, 30% and to mix pseudo- ratio according to its position in principal component scores figure
50%, this truly mixes pseudo- concentration with it（18.19%、33.35%、49.56%）And be consistent.Illustrate that this method not only can be to Portugal
Whether grape seed oil mixes pseudo- progress qualitative analysis, can also realize that grape-kernel oil mixes the preliminary quantitative forecast of pseudo- ratio.
Claims (6)
1. a kind of grape-kernel oil based on low field nuclear-magnetism mixes pseudo- method for quick identification, it is characterised in that comprises the following steps：
（1）Low-field nuclear magnetic resonance analyzer gathers signal：Weigh appropriate grape-kernel oil and mix the Can Wei Portugals of pseudo- a certain type of oil
Grape seed oil sample this addition nuclear magnetic tube bottom, is detected in low-field nuclear magnetic resonance analyzer；
（2）Grape-kernel oil and the foundation for mixing pseudo- grape-kernel oil relaxation spectrum data storehouse：Nuclear magnetic resonance spectroscopy software pair is stepped with knob
The free induction index attenuation curve that low-field nuclear magnetic resonance analyzer measurement obtains carries out reverse simulation, can obtain the multigroup of oil sample
Divide relaxation collection of illustrative plates（T2）；Choose grape-kernel oil and mix a relaxation representative in pseudo- grape-kernel oil sample relaxation spectrum data
Henan peak figure spectrum or the representative relaxation collection of illustrative plates that multiple relaxation peak figures spectrum is obtained to single sample by computing, then through quality normalizing
Standard diagram is used as after change processing, grape-kernel oil is established and mixes the relaxation spectrum data storehouse of pseudo- grape-kernel oil；
（3）Grape-kernel oil mixes the pseudo- foundation for differentiating model：Handled using SPSS16.0, Origin9.0 and Excel data collection of illustrative plates soft
Part carries out data prediction to grape-kernel oil with the relaxation collection of illustrative plates for mixing pseudo- grape-kernel oil, and then maintenance data preprocess method is established
Grape-kernel oil differentiates model with the puppet of mixing for mixing pseudo- grape-kernel oil；
（4）The application of model：Testing sample is taken by step（1）Signal acquisition is carried out, to obtained sample relaxation collection of illustrative plates number
Data preprocess, with step（3）In grape-kernel oil mix that pseudo- model judges sample mix puppet.
2. grape-kernel oil according to claim 1 mixes pseudo- method for quick identification, it is characterised in that grape-kernel oil is in the market
The common certified products grape-kernel oil easily purchased.
3. grape-kernel oil according to claim 1 mixes pseudo- method for quick identification, it is characterised in that step（1）In mix it is pseudo- certain
A kind of a certain type of oil mixed described in pseudo- grape-kernel oil of type of oil is soybean oil, corn oil, Rice oil, sunflower oil, oil
Tea-seed oil, rapeseed oil；The personation grape-kernel oil mixed pseudo- grape-kernel oil and refer to the addition of other types oil respectively.
4. grape-kernel oil according to claim 1 mixes pseudo- method for quick identification, it is characterised in that step（1）Middle low field core
Magnetic resonance analyzer is MicroMR-CL-1 types, magnetic field intensity 0.5T；Running parameter is：The M of nuclear-magnetism centre frequency 21, during wait
Between TW 2000 ms, echo time TE 0.1 ms, echo number NECH：18000, sample frequency SW：333.33kHz, sampling
Count TD：360000, accumulative frequency：2 times, each sample is repeated 3 times.
5. grape-kernel oil according to claim 1 mixes pseudo- method for quick identification, it is characterised in that step（2）In fortune used
Calculation, which refers to, to be added and handles, or weighting processing, or average treatment, or weighted average processing.
6. grape-kernel oil according to claim 1 mixes pseudo- method for quick identification, it is characterised in that step（3）Described in
Data preprocessing method is PCA, hierarchial-cluster analysis, PLS discriminant analysis, SVMs, is returned
Return and classification tree or random forest method.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110006938A (en) * | 2019-04-12 | 2019-07-12 | 上海理工大学 | A method of olive oil is mixed with quick screening on site based on SVM |
| CN111189868A (en) * | 2020-02-18 | 2020-05-22 | 南京农业大学 | Method for rapidly screening adulterated illegal cooking oil in edible oil by using low-field nuclear magnetic resonance |
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