CN107084941A - The detection method and detection means of ω 3PUFA contents in a kind of egg - Google Patents
The detection method and detection means of ω 3PUFA contents in a kind of egg Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 63
- 238000004611 spectroscopical analysis Methods 0.000 claims abstract description 83
- 238000000034 method Methods 0.000 claims abstract description 35
- 235000013601 eggs Nutrition 0.000 claims description 223
- 238000001228 spectrum Methods 0.000 claims description 23
- 238000012545 processing Methods 0.000 claims description 14
- 239000012141 concentrate Substances 0.000 claims description 6
- 235000020777 polyunsaturated fatty acids Nutrition 0.000 abstract description 111
- 230000008569 process Effects 0.000 abstract description 15
- 238000004519 manufacturing process Methods 0.000 abstract description 8
- 238000009659 non-destructive testing Methods 0.000 abstract description 3
- 101100279438 Caenorhabditis elegans egg-3 gene Proteins 0.000 abstract 1
- 238000002329 infrared spectrum Methods 0.000 description 17
- RTZKZFJDLAIYFH-UHFFFAOYSA-N Diethyl ether Chemical compound CCOCC RTZKZFJDLAIYFH-UHFFFAOYSA-N 0.000 description 8
- KWYUFKZDYYNOTN-UHFFFAOYSA-M Potassium hydroxide Chemical compound [OH-].[K+] KWYUFKZDYYNOTN-UHFFFAOYSA-M 0.000 description 6
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 4
- VEXZGXHMUGYJMC-UHFFFAOYSA-N Hydrochloric acid Chemical compound Cl VEXZGXHMUGYJMC-UHFFFAOYSA-N 0.000 description 4
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- 239000011435 rock Substances 0.000 description 4
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- 238000004364 calculation method Methods 0.000 description 3
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- 239000013598 vector Substances 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical class [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000009835 boiling Methods 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 2
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- 229910052736 halogen Inorganic materials 0.000 description 2
- 150000002367 halogens Chemical class 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000007443 liposuction Methods 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- JBXYCUKPDAAYAS-UHFFFAOYSA-N methanol;trifluoroborane Chemical compound OC.FB(F)F JBXYCUKPDAAYAS-UHFFFAOYSA-N 0.000 description 2
- 239000003208 petroleum Substances 0.000 description 2
- WQGWDDDVZFFDIG-UHFFFAOYSA-N pyrogallol Chemical compound OC1=CC=CC(O)=C1O WQGWDDDVZFFDIG-UHFFFAOYSA-N 0.000 description 2
- 238000010992 reflux Methods 0.000 description 2
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- 241000287828 Gallus gallus Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
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- 210000004369 blood Anatomy 0.000 description 1
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- 235000020660 omega-3 fatty acid Nutrition 0.000 description 1
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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
- G01N21/359—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 embodiment of the invention discloses the detection method and detection means of a kind of PUFA contents of ω in egg 3, methods described includes gathering the spectroscopic data of near-infrared first of egg to be detected;Data prediction is carried out to the spectroscopic data of near-infrared first and obtains the spectroscopic data of near-infrared second;According to the model and second spectroscopic data of the PUFA contents of ω 3 pre-established, the PUFA content values P of ω 3 of the egg to be detected are calculated.Embodiments of the invention realize Non-Destructive Testing in detection process, and detection speed is fast, cost-effective, it is possible to reduce labor intensity simultaneously improves production efficiency.
Description
Technical field
The present embodiments relate to a kind of inspection of ω -3 PUFA contents in technical field of food detection, more particularly to egg
Survey method and detection means.
Background technology
Omega-3 polyunsaturated fatty acids (ω -3 PUFA) has to human body promotes nervous function, reduction blood fat, prevention
The benefit such as cardiovascular and cerebrovascular disease and anticancer, ω -3 PUFA of human body itself synthesis can not meet human body requirements, it is necessary to from food
Obtain.Egg nutrient value is abundant, is one of main source of dietary nutrition of urban residents.Research discovery, laying hen feeding enrichment Ω-
3PUFA Feed Energy produces enrichment ω -3 PUFA egg, and ω -3 PUFA in egg have higher stability, therefore with
Hen is that carrier produces ω -3 eggs to safeguard that human health has vast potential for future development.
Although regulating and controlling the content of ω -3 PUFA in egg by using egg feed, its content can not be examined quickly
Survey.Simultaneously because ω -3 PUFA oxidisability is strong, with the increase of ω -3 PUFA contents in yolk, its possibility aoxidized
It is consequently increased, detrimental oxide can be produced after oxidation, directly or indirectly influences ω -3 PUFA in egg quality, including egg
Content is reduced, the shortening of ω -3 egg shelf life, influence consumer's interests even health.
Found by the research applied to ω -3 PUFA detection methods, the main of ω -3 PUFA detections is carried out both at home and abroad
Method is gas chromatography, and egg is opened and stirs and weighs, added into egg liquid hydrochloric acid, pyrogallic acid and
11 carbon triglycerides rock uniformly, take out standby after being hydrolyzed in 80 DEG C of water.Sample after hydrolysis is put into liposuction pipe, is added
Ethanol is mixed, and is then added absolute ether and is fully rocked uniformly, adds petroleum ether and fully rock uniformly, by the superiors after standing
It is transferred in boiling flask.The step in triplicate, is then poured into the extract solution of three times in flask together, and heating is concentrated into moisture
Basic evaporation is complete.Be separately added into potassium hydroxide and boron trifluoride methanol solution into the concentrate after extraction, carry out water-bath and
Reflux operation, then adds saturated sodium-chloride and n-hexane, and is dehydrated, and extracts surplus solution and carrys out content to ω -3 PUFA
It is measured.
But, there is cumbersome, elapsed time length, waste of resource and easily in actual operating process in this method
The shortcomings of producing harmful substance, is not suitable in egg storage and transport process carrying out quality monitoring.
The content of the invention
For defect present in prior art, the embodiment of the present invention provides a kind of inspection of ω -3 PUFA contents in egg
Survey method and detection means.
On the one hand, the embodiment of the present invention provides a kind of detection method of ω -3 PUFA contents in egg, methods described bag
Include:
Gather the spectroscopic data of near-infrared first of egg to be detected;
Data prediction is carried out to the spectroscopic data of near-infrared first and obtains the spectroscopic data of near-infrared second;
According to the model and second spectroscopic data of the ω -3 PUFA contents pre-established, calculate described to be detected
ω -3 PUFA content values the P of egg.
On the other hand, the embodiment of the present invention provides a kind of detection means of ω -3 PUFA contents in egg, described device bag
Include:
Acquisition module, the spectroscopic data of near-infrared first for gathering egg to be detected;
Processing module, the spectrum of near-infrared second is obtained for carrying out data prediction to the spectroscopic data of near-infrared first
Data;
Computing module, for the model and second spectroscopic data according to the ω -3 PUFA contents pre-established, is calculated
Go out the ω -3 PUFA content values P of the egg to be detected.
The detection method and detection means of ω -3 PUFA contents in egg provided in an embodiment of the present invention, according in egg
Relation between ω -3 PUFA contents and the near infrared spectrum data of egg, sets up the model of ω -3 PUFA contents, in detection
During, the content value of ω -3 PUFA in egg is calculated by obtaining the near infrared spectrum of egg to be detected, lossless inspection is realized
Survey, detection speed is fast, cost-effective, it is possible to reduce labor intensity simultaneously improves production efficiency.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are this hairs
Some bright embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can be with root
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is the detection method schematic flow sheet of ω -3 PUFA contents in egg provided in an embodiment of the present invention;
Fig. 2 is the schematic flow sheet provided in an embodiment of the present invention for setting up ω -3 PUFA content models;
Fig. 3 is the structure of the detecting device schematic diagram of ω -3 PUFA contents in egg provided in an embodiment of the present invention;
The structure of the detecting device schematic diagram of ω -3 PUFA contents in the egg that Fig. 4 provides for further embodiment of this invention.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Fig. 1 is the detection method schematic flow sheet of ω -3 PUFA contents in egg provided in an embodiment of the present invention, such as Fig. 1
Shown, methods described includes:
S101, collection the egg to be detected spectroscopic data of near-infrared first;
The embodiment of the present invention is applied to the ω -3 PUFA content detections of different eggs, and specific implementation step is as follows:
The parameter of near infrared spectrometer and the humiture of environment are set first, and near infrared spectrometer parameter is set to wave band model
Enclose 10,000-4,000cm-1, sampling interval 4cm-1, scanning times are 32 times, and gatherer process keeps indoor temperature, humidity basic
Unanimously.In sampling process, indoor temperature is maintained at 20~25 DEG C or so, and humidity maintains relative constancy value 60%, above-mentioned ginseng
Number can voluntarily be set as needed.
Egg to be detected is placed in the detection means of near infrared spectrometer, near infrared spectrometer gathers chicken to be detected
I.e. the original spectroscopic data of near infrared spectrum data near-infrared first of egg, and by the spectrum of near-infrared first collected
Data upload to computer.
S102, to the spectroscopic data of near-infrared first carry out data prediction obtain the spectroscopic data of near-infrared second;
After computer gets the spectroscopic data of near-infrared first, the data collected are pre-processed, from
And the spectroscopic data of near-infrared second is obtained, specific calculation is as follows:
In the above-described embodiment, actual wavelength points m is calculated by the parameter of the near infrared spectrometer of setting, such as
Wavelength points in the present embodiment are m=(10000-4000)/4=1500.
It is assumed that the value of 1500 wavelength points of the spectroscopic data of near-infrared first collected is x1, x2... .xm, wherein m
=1500.
Calculate the average value of wall scroll spectrum all wavelengths point:
Wherein,It is spectrum mean value, m counts for wavelength, xiFor the value of each wavelength points.
Calculate the standard deviation of wall scroll spectrum all wavelengths point:
Wherein, xσFor wall scroll spectrum standard deviation, i counts for wavelength, i=1,2 ... ... m, xiFor the value of each wavelength points,
For the average value of wall scroll spectrum.
Utilize standard deviation and the value of each wavelength points of mean value calculation
Wherein, XσiFor the value of each wavelength points in wall scroll spectrum,It is spectrum mean value, xσFor wall scroll spectrum standard deviation.
Utilize fitting of a polynomial spectrum correction coefficient:
Y=a0+a1Xσi+a2Xσi 2+…ai-1Xσi i-1
Wherein, Y is correction coefficient, XσiFor the value of each wavelength points in wall scroll spectrum, aiFor multinomial coefficient to be estimated.
Calculate spectral value after every Pretreated spectra:
Wherein XiIt is the value of each wavelength points after every Pretreated spectra, Y is correction coefficient, i=1,2 ... m.
The spectroscopic data of near-infrared first of egg to be detected is pre-processed, the second spectroscopic data, X has been obtainediTable
Show the value of 1500 wavelength points after every curve of spectrum pretreatment, a new curve of spectrum is constituted, so as to reach correction
The error of spectrogram, improves the purpose of signal to noise ratio.
S103, model and second spectroscopic data according to the ω -3 PUFA contents pre-established, calculate described treat
Detect the ω -3 PUFA content values P of egg.
On the basis of above-described embodiment, before the step of performing the present embodiment, ω -3 PUFA are had built up and have contained
The model of relation, as long as getting a new spectroscopic data, is located in advance to it between amount and the near infrared spectrum data
Reason, obtains second spectroscopic data, second spectroscopic data is brought into the model of the ω -3 PUFA contents established
In, it is possible to the ω -3 PUFA content value P of the egg to be detected are calculated, and can also be by ω -3 PUFA calculated
Content value P is shown on the interface of computer, facilitates user to check.
The detection method of ω -3 PUFA contents in egg provided in an embodiment of the present invention, by finding ω -3 in egg
Relation between PUFA contents and the near infrared spectrum data of egg, so that the model of ω -3 PUFA contents is set up, in detection
During, the content value of ω -3 PUFA in egg can just be calculated by obtaining the near infrared spectrum of egg to be detected, realize nothing
Detection is damaged, detection speed is fast, cost-effective, it is possible to reduce labor intensity simultaneously improves production efficiency.
Alternatively, the spectroscopic data of near-infrared first for gather the egg it is blunt nosed on vertex position light at least one times
The average value of modal data.
On the basis of above-described embodiment, when gathering the first infrared spectrum of near-infrared of the egg, it is necessary to by egg
It is blunt nosed place the spectroscopic data for detecting blunt nosed vertex position on detection means upward, can generally gather multiple data, so
After average, that is, the obtained spectroscopic data of the near-infrared first so that the spectroscopic data calculated is more accurate.
Alternatively, Fig. 2 is the schematic flow sheet of the model provided in an embodiment of the present invention for setting up ω -3 PUFA contents, such as
Shown in Fig. 2, the model of the ω -3 PUFA contents is set up using following steps:
S201, collecting sample concentrate the spectroscopic data of near-infrared the 3rd of egg;
Before above embodiment is performed, it is necessary first to first set up the near red of ω -3 PUFA contents and egg in egg
Model between external spectrum data, below the process to modeling do detailed introduction:
Step one, experiment material and condition.240 pieces of ω -3 eggs are bought from Beijing plant, egg is wiped with dry cloth
Wipe clean, be randomly divided into 4 groups every group 60 pieces, be contained in pallet, first group is stored in 4 DEG C of insulating boxs, and second group is stored in
In 12 DEG C of insulating boxs, the 3rd group is stored in 20 DEG C of insulating boxs, and the 4th group is stored in 28 DEG C of insulating boxs, and each insulating box is kept
Humidity is 60% or so.By 6 units of every group of egg point, each 10 pieces of unit, number consecutively.Storage time be respectively 1 week,
2 weeks ..., 6 weeks when, every group of egg for taking out unit respectively carries out corresponding experiment measurement.
Step 2, ω -3 egg sample near infrared spectra collections:In storage period, taken respectively from every group of egg week about
Go out a unit egg and carry out IMAQ.The egg measured every time is head-up vertically placed on objective table greatly, using perpendicular
Nogata formula by egg have air chamber it is blunt nosed upward, tip place down, the light that light source is sent is irradiated to egg sample by loophole
In sheet, the transmitted spectrum image of egg is gathered, each egg is gathered three times, takes the average value of spectrum as final spectrum, is
The spectroscopic data of near-infrared the 3rd, is then transferred data in computer.Near infrared spectrometer parameter is set to wavelength band
10,000-4,000cm-1, sampling interval 4cm-1, scanning times are 32 times, and gatherer process keeps indoor temperature, humidity basic one
Cause.In sampling process, indoor temperature is maintained at 20~25 DEG C or so, and humidity maintains relative constancy value 60%.
S202, the spectroscopic data of the near-infrared the 3rd collected is pre-processed, obtain pretreated near-infrared
4th spectroscopic data;
Computer is received after the spectroscopic data of near-infrared the 3rd, it is pre-processed, specific processing procedure exists
Introduce, will not be repeated here in above-described embodiment, so as to obtain the pretreated spectroscopic data of near-infrared the 4th.
S203, the ω -3 PUFA content values for detecting using the method for chemistry egg in the sample set, to it is actually detected go out
The sample set in ω -3 PUFA content values and the spectroscopic data of near-infrared the 4th of egg be associated processing, foundation
The model of the ω -3 PUFA contents.
After the spectroscopic data of pretreated near-infrared the 4th of 200 eggs in obtaining sample set, in addition it is also necessary to first adopt
ω -3 PUFA the content values of egg in sample set are detected with the method for chemistry, concrete implementation process is as follows:
The complete egg of spectral scan is opened and stirs and weighs, ω -3PUFA contents in detection egg:To egg
Hydrochloric acid, pyrogallic acid and 11 carbon triglycerides are added in liquid to rock uniformly, take out standby after being hydrolyzed in 80 DEG C of water.Water
Sample after solution is put into liposuction pipe, is added ethanol and is mixed, and is then added absolute ether and is fully rocked uniformly, adds petroleum ether
Fully rock uniform, the superiors are transferred in boiling flask after standing.The step in triplicate, then by the extract solution one of three times
Rise and pour into flask, heating is concentrated into moisture and evaporated substantially completely.Be separately added into the concentrate after extraction potassium hydroxide and
Boron trifluoride methanol solution, carries out water-bath and reflux operation, then adds saturated sodium-chloride and n-hexane, and is dehydrated, and extracts
Surplus solution is measured to the ω -3PUFA contents, obtains 200 egg ω -3PUFA content values.
Then, the 200 egg ω -3PUFA gone out according to the pretreated spectroscopic data of near-infrared the 4th and practical measurement
Content value does association process, sets up the model of spectroscopic data and ω -3PUFA contents.The process for setting up model is divided into two steps,
Principle component extraction process and prediction process.
Assuming that it is that the 200 egg ω -3PUFA detected in the embodiment of the present invention contain that Y (n*1), which is objective matrix,
Value, X (n*m) is known prediction matrix, the pretreated light of near-infrared the 4th of value of 1500 wavelength points of as 200 eggs
Modal data;
Make t1=X*w1, u1=Y*c1, wherein t1And u1First principal component being extracted of respectively X and Y, w1(m*1)
And c1(1*1) is the weight vectors of X and Y first principal component respectively.
Make t1And u1Covariance it is maximum, i.e.,:
Introduce Lagrange multiplier and seek w1And c1, it can be deduced that:w1It is symmetrical matrix XTYYTX eigenvalue of maximum is corresponding
Characteristic vector, c1It is YTXXTThe Y corresponding characteristic vector of eigenvalue of maximum.
Solve w1And c1After can be according to formula t1=X*w1, u1=Y*c1Obtain t1And u1。
X and Y respectively to t1And u1Regression modeling:
Wherein p1And q1Respectively regression coefficient matrix, different from w1And c1, but having certain relation, E, G are residual error square
Battle array.
To set up Y and X direct relation, principal component ts of the Y to X1Carry out regression modeling:
P is calculated with below equation1、q1And r1:
p1=XTt1/||t1||2
q1=YTu1/||u1||2
r1=YTt1/||t1||2
By X, Y to t1Regression model in residual error portion E, F as new X and Y, returned according to method before
Return, and circulate, until residual error F reaches that required precision, or principal component quantity have reached the upper limit (initial X order).
Final original X and Y can be expressed as:
W and r value is collected and then is predicted in calculating process.
If inputting a new data X, each principal component is calculated first with W:
t1=XTw1, t2=XTw2... tk=XTwk
Then bring into:
ω -3PUFA the content values in vectorial y predicted value, that is, egg to be detected can be obtained.
In above-mentioned modeling and calculating process, calculated by the analysis to spectroscopic data and ω -3PUFA content datas,
The relation between the spectroscopic data of near-infrared the 4th and ω -3PUFA content values is obtained, so as to set up spectroscopic data and ω -3PUFA
The model of content value.After the new spectroscopic data of an egg is obtained, first pre-processed, pretreated data are brought into
ω -3PUFA content values in egg can be just calculated in the relational expression stated i.e. ω -3PUFA contents model.
In addition, also remaining 40 eggs collect as checking, it is first according to above-mentioned method and step and gets this 40
The spectroscopic data of egg, is pre-processed to it, then detects ω -3PUFA content values to this 40 eggs using chemical method,
In the model that pretreated spectroscopic data is brought into the ω -3PUFA contents that above-described embodiment is established, predict in egg
ω -3PUFA content values, ω -3PUFA content values in the egg predicted are made with actually detected ω -3PUFA content values out
Contrast, is verified to the model of the ω -3PUFA contents of foundation, error in tolerance interval, illustrate set up ω -
The detection model of 3PUFA contents has practicality.
The detection method of ω -3 PUFA contents in egg provided in an embodiment of the present invention, by finding ω -3 in egg
Relation between PUFA contents and the near infrared spectrum data of egg, so that the model of ω -3 PUFA contents is set up, in detection
During, the content value of ω -3 PUFA in egg can just be calculated by obtaining the near infrared spectrum of egg to be detected, realize nothing
Detection is damaged, detection speed is fast, cost-effective, it is possible to reduce labor intensity simultaneously improves production efficiency.
Alternatively, methods described also includes:According to the ω -3 PUFA content value P calculated, to described to be detected
Egg is classified.
On the basis of above-described embodiment, after computer calculates the ω -3 PUFA content values P of egg to be detected, meter
Chance is calculated to judge resulting content value P, according to the height of ω -3 PUFA content values so as to be classified to egg,
And on the interface for the computer for showing the result of classification, such user just can be with open-and-shut when egg is detected
It is which grade belonged to see egg to be detected, for example, ω -3 high contents egg either common egg etc..
Alternatively, it is described that the egg to be detected is classified specially:
If 0≤P < 100mg, the egg to be detected is judged for commercially available common egg, and classification results are " normal
egg”;
If 100mg≤P < 300mg, the egg to be detected is judged for the higher egg of ω -3 PUFA contents, point
Level result is " normal+egg ";
If 300mg≤P < 500mg, the egg to be detected is judged for ω -3 PUFA concentration type eggs, classification knot
Fruit is " ω -3egg ";
If 500mg≤P, judge the egg to be detected for the higher ω -3 PUFA concentration types of ω -3 PUFA contents
Egg, classification results are " ω -3+egg ".
On the basis of above-described embodiment, according to the ω -3 PUFA content value P of the egg to be detected calculated, according to full
The condition in foot face is classified, and on the interface for the computer that last classification results are shown.Specifically classification condition is:
If 0≤P < 100mg, the egg to be detected is judged for commercially available common egg, and classification results are " normal
egg”;
If 100mg≤P < 300mg, the egg to be detected is judged for the higher egg of ω -3 PUFA contents, point
Level result is " normal+egg ";
If 300mg≤P < 500mg, the egg to be detected is judged for ω -3 PUFA concentration type eggs, classification knot
Fruit is " ω -3egg ";
If 500mg≤P, judge the egg to be detected for the higher ω -3 PUFA concentration types of ω -3 PUFA contents
Egg, classification results are " ω -3+egg ".
The detection method of ω -3 PUFA contents in egg provided in an embodiment of the present invention, by finding ω -3 in egg
Relation between PUFA contents and the near infrared spectrum data of egg, so that the model of ω -3 PUFA contents is set up, in detection
During, the content of ω -3 PUFA in egg can just be calculated by obtaining the near infrared spectrum computer software of egg to be detected
Value, and egg classification is carried out according to ω -3 PUFA calculated content value, Non-Destructive Testing is realized, detection speed is fast, section
About cost, it is possible to reduce labor intensity simultaneously improves production efficiency.
Fig. 3 is the structure of the detecting device schematic diagram of ω -3 PUFA contents in egg provided in an embodiment of the present invention, such as Fig. 3
Shown, described device includes:Acquisition module 10, processing module 20 and computing module 30, wherein:
Acquisition module 10 is used for the spectroscopic data of near-infrared first for gathering egg to be detected;Processing module 20 is used for institute
State the spectroscopic data of near-infrared first progress data prediction and obtain the spectroscopic data of near-infrared second;Computing module 30 is used for according to pre-
The model and second spectroscopic data for the ω -3 PUFA contents first set up, calculate ω -3 PUFA of the egg to be detected
Content value P.
Specifically, the detection means of ω -3 PUFA contents includes in egg:Acquisition module 10, processing module 20 and calculating
Module 30, wherein, acquisition module 10 include halogen, tungsten filament, egg support, entrance slit, quasi-optical mirror, grating, focus on light microscopic, go out
The equipment such as mouth slit, light guide photodetector, objective table, wherein objective table is set to black, egg support and halogen is disposed thereon
Plain lamp, quasi-optical mirror and grating, which are arranged on directly over support, is connected to focus on light microscopic apart from objective table 10cm, focuses on light microscopic and detection
Device is connected and connected by data wire with computer, for the spectroscopic data of the egg collected to be uploaded into processing module
20 are handled.The spectroscopic data of near-infrared first that processing module 20 collects acquisition module 10, which pre-process, obtains near red
Outer second spectroscopic data, computing module 30 is according to the obtained spectroscopic data of near-infrared second and ω -3 PUFA having had built up
The model of content, calculates the ω -3 PUFA content values P of the egg to be detected.
The calculation of pretreatment has been introduced in above method embodiment, will not be repeated here.
The detection means of ω -3 PUFA contents in egg provided in an embodiment of the present invention, by finding ω -3 in egg
Relation between PUFA contents and the near infrared spectrum data of egg, so that the model of ω -3 PUFA contents is set up, in detection
During, the content value of ω -3 PUFA in egg can just be calculated by obtaining the near infrared spectrum of egg to be detected, realize nothing
Detection is damaged, detection speed is fast, cost-effective, it is possible to reduce labor intensity simultaneously improves production efficiency.
Alternatively, the spectroscopic data of near-infrared first for gather the egg it is blunt nosed on vertex position light at least one times
The average value of modal data.
On the basis of above-described embodiment, when gathering the first infrared spectrum of near-infrared of the egg, it is necessary to by egg
It is blunt nosed place the spectroscopic data for detecting blunt nosed vertex position on detection means upward, can generally gather multiple data, so
After average, that is, the obtained spectroscopic data of the near-infrared first so that the spectroscopic data calculated is more accurate.
Alternatively, the model of the ω -3 PUFA contents is set up using following steps:
Collecting sample concentrates the spectroscopic data of near-infrared the 3rd of egg;
The spectroscopic data of the near-infrared the 3rd collected is pre-processed, the pretreated light of near-infrared the 4th is obtained
Modal data;
ω -3 PUFA the content values of egg in the sample set are detected using the method for chemistry, to it is actually detected go out institute
ω -3 PUFA the content values and the spectroscopic data of near-infrared the 4th for stating egg in sample set are associated processing, set up described
The model of ω -3 PUFA contents.
On the basis of above-described embodiment, the spectroscopic data of near-infrared the 3rd for 200 eggs that collecting sample is concentrated, to adopting
The spectroscopic data of the near-infrared the 3rd collected is pre-processed, and obtains the pretreated spectroscopic data of near-infrared the 4th, then
Egg in sample set is opened and is sufficiently stirred for and weighs, the ω -3 in egg to be detected is obtained using the method for chemistry
PUFA content values, the ω -3 PUFA content values obtained according to detection and the spectroscopic data of near-infrared the 3rd, it is established that ω -3
The model of relation between PUFA contents and the spectroscopic data of the near-infrared the 3rd.
After a new spectroscopic data is detected, as long as bringing pretreated spectroscopic data into above-mentioned ω -3
ω -3 PUFA the content values in egg can be just calculated in PUFA content models.
The detection means of ω -3 PUFA contents in egg provided in an embodiment of the present invention, by finding ω -3 in egg
Relation between PUFA contents and the near infrared spectrum data of egg, so that the model of ω -3 PUFA contents is set up, in detection
During, the content value of ω -3 PUFA in egg can just be calculated by obtaining the near infrared spectrum of egg to be detected, realize nothing
Detection is damaged, detection speed is fast, cost-effective, it is possible to reduce labor intensity simultaneously improves production efficiency.
Alternatively, the structure of the detecting device of ω -3 PUFA contents shows in the egg that Fig. 4 provides for further embodiment of this invention
It is intended to, as shown in figure 4, described device includes acquisition module 10, processing module 20, computing module 30 and diversity module 40, wherein
Diversity module 40 is used for according to the ω -3 PUFA content value P calculated, and the egg to be detected is carried out
Classification.
Specifically, in the present embodiment in acquisition module 10, processing module 20, computing module 30 and above-described embodiment
It is identical in terms of 26S Proteasome Structure and Function, detailed discussion has been done, will not be repeated here.
Diversity module 40 is after computing module 30 calculates the ω -3 PUFA content values P of egg to be detected, diversity module 40
Resulting content value P is judged, according to the height of ω -3 PUFA content values so as to be classified to egg, and will
On the interface for the computer that the result of classification is shown, such user detect egg when just can with it is open-and-shut see treat
The egg of detection is which grade belonged to.
Further, the diversity module 40 is used for:
If 0≤P < 100mg, the egg to be detected is judged for commercially available common egg, and classification results are " normal
egg”;
If 100mg≤P < 300mg, the egg to be detected is judged for the higher egg of ω -3 PUFA contents, point
Level result is " normal+egg ";
If 300mg≤P < 500mg, the egg to be detected is judged for ω -3 PUFA concentration type eggs, classification knot
Fruit is " ω -3egg ";
If 500mg≤P, judge the egg to be detected for the higher ω -3 PUFA concentration types of ω -3 PUFA contents
Egg, classification results are " ω -3+egg ".
On the basis of above-described embodiment, the ω -3 for the egg to be detected that diversity module 40 is calculated according to computing module 30
PUFA content value P, are classified according to the condition for meeting following, and the interface for the computer that last classification results are shown
On.Specifically classification condition is:
If 0≤P < 100mg, the egg to be detected is judged for commercially available common egg, and classification results are " normal
egg”;
If 100mg≤P < 300mg, the egg to be detected is judged for the higher egg of ω -3 PUFA contents, point
Level result is " normal+egg ";
If 300mg≤P < 500mg, the egg to be detected is judged for ω -3 PUFA concentration type eggs, classification knot
Fruit is " ω -3egg ";
If 500mg≤P, judge the egg to be detected for the higher ω -3 PUFA concentration types of ω -3 PUFA contents
Egg, classification results are " ω -3+egg ".
The detection method of ω -3 PUFA contents in egg provided in an embodiment of the present invention, by finding ω -3 in egg
Relation between PUFA contents and the near infrared spectrum data of egg, so that the model of ω -3 PUFA contents is set up, in detection
During, the content of ω -3 PUFA in egg can just be calculated by obtaining the near infrared spectrum computer software of egg to be detected
Value, and egg classification is carried out according to ω -3 PUFA calculated content value, Non-Destructive Testing is realized, detection speed is fast, section
About cost, it is possible to reduce labor intensity simultaneously improves production efficiency.
Finally it should be noted that:The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although
The present invention is described in detail with reference to the foregoing embodiments, it will be understood by those within the art that:It still may be used
To be modified to the technical scheme described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic;
And these modification or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (10)
1. the detection method of ω -3PUFA contents in a kind of egg, it is characterised in that including:
Gather the spectroscopic data of near-infrared first of egg to be detected;
Data prediction is carried out to the spectroscopic data of near-infrared first and obtains the spectroscopic data of near-infrared second;
According to the model and second spectroscopic data of the ω -3PUFA contents pre-established, the egg to be detected is calculated
ω -3PUFA content values P.
2. detection method according to claim 1, it is characterised in that the spectroscopic data of near-infrared first is described for collection
The average value of vertex position on egg is blunt nosed spectroscopic data at least one times.
3. detection method according to claim 1 or 2, it is characterised in that the model of the ω -3PUFA contents is using such as
Lower step is set up:
Collecting sample concentrates the spectroscopic data of near-infrared the 3rd of egg;
The spectroscopic data of the near-infrared the 3rd collected is pre-processed, the pretreated spectrum number of near-infrared the 4th is obtained
According to;
ω -3PUFA the content values of egg in the sample set are detected using the method for chemistry, to it is actually detected go out the sample
ω -3PUFA the content values and the spectroscopic data of near-infrared the 4th for concentrating egg are associated processing, set up the ω -3PUFA
The model of content.
4. detection method according to claim 1, it is characterised in that methods described also includes:
According to the ω -3PUFA content value P calculated, the egg to be detected is classified.
5. detection method according to claim 4, it is characterised in that described that classification tool is carried out to the egg to be detected
Body is:
If 0≤P < 100mg, the egg to be detected is judged for commercially available common egg, and classification results are " normal
egg”;
If 100mg≤P < 300mg, judge the egg to be detected for the higher egg of ω -3PUFA contents, classification results
For " normal+egg ";
If 300mg≤P < 500mg, the egg to be detected is judged for ω -3PUFA concentration type eggs, classification results are
“ω-3egg”;
If 500mg≤P, the egg to be detected is judged for the higher ω -3PUFA concentration type eggs of ω -3PUFA contents,
Classification results are " ω -3+egg ".
6. the detection means of ω -3PUFA contents in a kind of egg, it is characterised in that including:
Acquisition module, the spectroscopic data of near-infrared first for gathering egg to be detected;
Processing module, near-infrared the second spectrum number is obtained for carrying out data prediction to the spectroscopic data of near-infrared first
According to;
Computing module, for the model and second spectroscopic data according to the ω -3PUFA contents pre-established, calculates institute
State the ω -3PUFA content values P of egg to be detected.
7. detection means according to claim 6, it is characterised in that the spectroscopic data of near-infrared first is described for collection
The average value of vertex position on egg is blunt nosed spectroscopic data at least one times.
8. the detection means according to claim 6 or 7, it is characterised in that the model of the ω -3PUFA contents use with
Lower step is set up:
Collecting sample concentrates the spectroscopic data of near-infrared the 3rd of egg;
The spectroscopic data of the near-infrared the 3rd collected is pre-processed, the pretreated spectrum number of near-infrared the 4th is obtained
According to;
ω -3PUFA the content values of egg in the sample set are detected using the method for chemistry, to it is actually detected go out the sample
ω -3PUFA the content values and the spectroscopic data of near-infrared the 4th for concentrating egg are associated processing, set up the ω -3PUFA
The model of content.
9. detection means according to claim 6, it is characterised in that described device also includes:
Diversity module, for according to the ω -3PUFA content value P calculated, being classified to the egg to be detected.
10. detection means according to claim 9, it is characterised in that the diversity module is used for:
If 0≤P < 100mg, the egg to be detected is judged for commercially available common egg, and classification results are " normal
egg”;
If 100mg≤P < 300mg, judge the egg to be detected for the higher egg of ω -3PUFA contents, classification results
For " normal+egg ";
If 300mg≤P < 500mg, the egg to be detected is judged for ω -3PUFA concentration type eggs, classification results are
“ω-3egg”;
If 500mg≤P, the egg to be detected is judged for the higher ω -3PUFA concentration type eggs of ω -3PUFA contents,
Classification results are " ω -3+egg ".
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108663367A (en) * | 2018-03-30 | 2018-10-16 | 中国农业大学 | A kind of egg quality lossless detection method based on egg unit weight |
CN109916848A (en) * | 2018-12-17 | 2019-06-21 | 西安航天化学动力有限公司 | Boron mass fraction near infrared detection method in boron trifluoride-triethanolamine |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6156351A (en) * | 1995-09-14 | 2000-12-05 | Shapira; Niva | Eggs with a mixture of antioxidants and low amounts of poly-unsaturated fatty acids |
CN202305419U (en) * | 2011-09-15 | 2012-07-04 | 海安县婷婷农副产品有限公司 | Poultry egg detection device |
CN203534962U (en) * | 2013-11-13 | 2014-04-09 | 李钱 | Egg quality detection system based on near infrared transmitted spectrum |
-
2017
- 2017-05-16 CN CN201710344796.6A patent/CN107084941A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6156351A (en) * | 1995-09-14 | 2000-12-05 | Shapira; Niva | Eggs with a mixture of antioxidants and low amounts of poly-unsaturated fatty acids |
CN202305419U (en) * | 2011-09-15 | 2012-07-04 | 海安县婷婷农副产品有限公司 | Poultry egg detection device |
CN203534962U (en) * | 2013-11-13 | 2014-04-09 | 李钱 | Egg quality detection system based on near infrared transmitted spectrum |
Non-Patent Citations (2)
Title |
---|
周颖 等: "多不饱和脂肪酸调控蛋品质的研究进展", 《中国家禽》 * |
杨美艳: "多不饱和脂肪酸快速检测模型的建立", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108663367A (en) * | 2018-03-30 | 2018-10-16 | 中国农业大学 | A kind of egg quality lossless detection method based on egg unit weight |
CN109916848A (en) * | 2018-12-17 | 2019-06-21 | 西安航天化学动力有限公司 | Boron mass fraction near infrared detection method in boron trifluoride-triethanolamine |
CN109916848B (en) * | 2018-12-17 | 2021-09-07 | 西安航天化学动力有限公司 | Near-infrared detection method for boron mass fraction in boron trifluoride triethanolamine |
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