CN104655585B - A kind of PSE meat screening technique based near infrared spectrum - Google Patents
A kind of PSE meat screening technique based near infrared spectrum Download PDFInfo
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Abstract
The present invention discloses a kind of PSE meat screening technique based near infrared spectrum, the near infrared spectrum of pig longissimus dorsi muscle meat sample to be measured after killing is gathered near infrared spectrometer, the near infrared spectrum of the meat sample to be measured to being gathered is pre-processed, then by the normal meat sample averaged spectrum in the PSE meat qualitative analysis model based near infrared spectrum, PSE meat sample averaged spectrum, normal meat sample threshold value and PSE meat sample threshold value filter out PSE meat, the spectrum of the meat sample to be measured is normal meat sample when being less than normal meat sample threshold value with the distance of normal meat sample averaged spectrum, it is PSE meat sample when being less than PSE meat sample threshold value with the distance of PSE meat sample averaged spectrum.The method rapidly and efficiently, resolution it is high, to meat not damaged.The present invention sets up the new method that a kind of science, standard, quick slaughterhouse screen PSE meat online.
Description
Technical field
The invention belongs to food technology research field, and in particular to one kind uses near-infrared spectrum technique and Chemical Measurement
PSE pork screening techniques.
Background technology
PSE meat be by before a series of government officials and kill after combined factors effect and produce appearance pale (pale), quality it is soft
(soft), juice oozes out the heterogeneous meat of a class of seriously (exudative).Research both at home and abroad shows that the pig containing halothane is past
Toward showing as stress sensitive pig, driveing, transporting before government official, wait to kill during, get a fright, pig is continuously in excited state,
Body temperature is significantly raised, and after government official under the conditions of anerobic glycolysis, ATP is consumed rapidly, and glycolysis produces lactic acid, and at the same time, trunk is big
Volume production heat can also make body temperature be maintained at level higher, and acutely decline (drops to small pH in generally 1h in a short period of time
In 6.0), limit pH is dropped to below fribrillin isoelectric point, causes protein structure to destroy, and makes meat soft, and juice is big
Amount is oozed out, meat poor water retention property.
The factor for causing PSE meat to produce have a lot, except said gene with kill before in addition to the factor that manages, butcher season, cold
But speed, stunning mode etc. use material impact.The pig that spring and summer butchers, trunk easily produces PSE meat, and longissimus dorsi muscle drips damage
Lose higher.Fasting can reduce muscle glycogen content before killing, and raise muscle end pH.If rapid after government official, to carry out depth to trunk cold
But, the activity of metabolism enzyme system can be suppressed, so as to reduce the generation of PSE meat.The PSE meat incidence of the stunning that shocks by electricity is up to
35.6%, and CO2Stunning only has 4.5%.The sale if PSE meat and fresh pork mix, can make enterprise's meat quality not
One, consumer evaluation is influenceed, PSE meat cannot be sold, and cause to waste.It is therefore desirable to set up the online PSE meat quickly side of screening
Method, potential PSE meat is differentiated on cut-off rule is butchered, and is separately used it for anything else.
(780nm~2500nm, also can record is 12000cm near infrared light-1~4000cm-1) have in conventional fiber
Good transmission characteristic, and instrument is simple, analyze speed fast, Non-Destructive Testing the features such as, be especially suitable for industrialization, streamline inspection
Survey.Its principle be due to being produced when the anharmonicity of molecular vibration makes molecular vibration from ground state to high energy order transition, with compared with
Strong penetration capacity.Near infrared light is mainly frequency multiplication and sum of fundamental frequencies absorption to hydric group vibration, wherein containing most several classes of
The organic compound and its molecular structure information of type.Because different organic matters contains different groups, different groups have not
With energy level, and absorbing wavelength near infrared light has significant difference, therefore near infrared spectrum can reflect material internalization
The effective means of compound changes of contents.So, from cline frequency near infrared light sample when, because sample is to different frequencies
The selective absorbing of rate near infrared light, can be died down by the near infrared light after sample in some wave-length coverages, this part light quilt
The corresponding group absorptions of organic matter, by detecting that optical density (reflectivity, absorbance) can determine that the constituent content.
Current domestic and foreign scholars set up quantitative around the constituent content, the index of quality for using near-infrared spectrum technique to meat
Forecast model, the aspect such as other animal flesh for being entrained in choice meat of detection has been done some and has been benefited our pursuits, but the morning after government official
Phase is that the qualitative discrimination model for predicting PSE meat but has no report.
Unified PSE meat discrimination method is had no in production at present, is typically judged whether by pH, meat color, water-retaining property
It is PSE meat.If about 45min, muscle pH after killing<6.0, then with physiological acoustic signals after government official, it will generation PSE meat, but this
Kind of method is needed to insert a probe into meat, not lossless, and the pH meter reading duration is long, and after a period of time, data can be produced
Deviation, it is necessary to correct, and muscle pH is not quite similar everywhere, be not suitable for slaughterhouse and use online.The color of meat is pale, and surface is general
Water, L*>Substantially can conclude that to be PSE meat when 53, but now meat has typically all been put on market, is differentiated also without too big meaning.Moreover
Due to the presence of RSE (reddish, soft, exudative) meat so that also cannot well differentiate heterogeneous meat using color.Pin
Need to set up the new method that a kind of science, standard, quick slaughterhouse screen PSE meat online to above technical problem.
The content of the invention
It is an object of the invention to the new method set up a set of science, standard, quickly screen PSE meat, there is provided Yi Zhongji
In the screening technique of the PSE meat identification beacon of near infrared spectrum, the near-infrared method of Effective selection PSE meat, the party are capable of in foundation
Method rapidly and efficiently, resolution it is high, to meat not damaged.So as to provide reliable technology branch for the online meat rapid classification in slaughterhouse
Support.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of PSE meat screening technique based near infrared spectrum, pig longissimus dorsi muscle after killing is gathered near infrared spectrometer and is treated
The near infrared spectrum of meat sample is surveyed, the near infrared spectrum of the meat sample to be measured to being gathered is pre-processed, then by based near red
Normal meat sample averaged spectrum, PSE meat sample averaged spectrum, normal meat sample threshold value in the PSE meat qualitative analysis model of external spectrum and
PSE meat sample threshold value filters out PSE meat, and the spectrum of the meat sample to be measured is less than normal meat sample with the distance of normal meat sample averaged spectrum
It is normal meat sample during threshold value, is PSE meat sample when being less than PSE meat sample threshold value with the distance of PSE meat sample averaged spectrum.
The method for building up of the PSE meat qualitative analysis model based near infrared spectrum is：Normal meat is selected by pH methods
Sample group and PSE meat sample group, pig longissimus dorsi muscle meat after killing in normal meat sample group and PSE meat sample group is gathered near infrared spectrometer respectively
The near infrared spectrum of sample, the near infrared spectrum of two groups of meat samples to being gathered is pre-processed, and is then selected by factorization method
Factor I spectrum calculates normal meat sample averaged spectrum, PSE meat sample averaged spectrum, normal meat sample threshold value and PSE meat sample threshold value.
The computational methods of the normal meat sample threshold value and PSE meat sample threshold value are：Each individual spectral and phase are calculated first
Answer the Euclidean distance Di between averaged spectrum；Then average distance D is obtainedmWith the standard deviation S of independent Euclidean distance0, n in two formulas
It is for giving the number that the daylighting of material institute is composed；
Finally using maximum matching value DmaxWith standard deviation S0To calculate threshold value DT,
DT=Dmax+x·S0
Wherein, DmaxIt is Euclidean distance maximum of all individual spectrals to averaged spectrum in given same class material；X is
Default value is set as 0.05, and confidence level is set as 99%.The S of above-mentioned qualitative analysis model is more than 1, represents the Qualitive test mould
Type accurately and reliably, can uniquely differentiate two kinds of meat.
Pig longissimus dorsi muscle meat sample to be measured is 3 hours pig longissimus dorsi muscle meat samples after killing after described government official.
Pig longissimus dorsi muscle meat sample is 3 hours pig longissimus dorsi muscle meat samples after killing after described government official.
Selection time for gathering the meat sample of near infrared spectrum significantly affects the resolution of PSE meat, 3 hours after selection government official
The resolution of pig longissimus dorsi muscle meat sample PSE meat is 100% (accuracy rate of the selection result be 100%), and 5,7,9 small after selecting to kill
When the resolution of meat sample PSE meat be respectively 73.0%, 47.2%, 14.5%, the discriminating of meat sample in 3 hours after substantially less than killing
Rate.
The spectra collection parameter setting of the near infrared spectrometer is：Sampling configuration：Diffusing reflection；Resolution ratio 16cm-1；Sampling
Number of times 32 times.Resolution ratio 16cm-1The speed of spectrum is gathered than 8cm-1、4cm-1、2cm-1Etc. resolution ratio faster, it is contemplated that online
Monitor the requirement to efficiency, 16cm-1More meet the requirement of on-line quick detection.16cm-1Resolution ratio help to reduce noise
Influence.Resolution ratio is too high, can reduce signal to noise ratio.Sampling number is 32 times, because spectrometer is very accurate, so collection 32
Secondary spectrum is basic identical, and what is finally reflected is 32 averaged spectrums of spectrum.
Described pretreatment is that near infrared spectrum to being gathered carries out S-G and smooths, and seeks first derivative.The S-G is smoothed
Smooth point be 21.
The contact surface bubble-free of meat sample and near infrared spectrometer in the gatherer process of the near infrared spectrum, and by whole light
Source covers.
Described diffusing reflection is integrating sphere diffusing reflection.The signified diffusing reflection of sampling configuration is " integrating sphere diffusing reflection ", a kind of
It is usually used in the element that the light returned is reflected by the object for collecting near infrared spectrometer.
PSE meat qualitative analysis model based near infrared spectrum sets up process：
Sample collection, takes the pig longissimus dorsi muscle second half section of the live pig slaughtered on slaughter line, tests the pH of 45min after its government official,
Sample is divided into two big groups according to pH.First group：pH45min<6.0 sample fast for pH declines, as the physiology of meat after government official is given birth to
Change reaction, it will produce PSE meat, this is PSE pork groups；Second group of pH45min>6.0 sample normally declined for pH, is just
Normal pork group.53 longissimus dorsi muscle samples of pig are adopted to obtain altogether.First group：PSE meat sample group has 19 samples, second group：Normally
Meat sample group has 34 samples.
Transport the pig longissimus dorsi muscle of collection back laboratory, gathered respectively with Brooker Vector 22/N near infrared spectrometers
Each sample kill after 3h, 5h, 7h, 9h, 12h, 24h, 48h near infrared spectrum, spectra collection parameter setting is：Sampling configuration：Product
Bulb separation diffusing reflection；Resolution ratio 16cm-1；Sampling number 32 times, each time point of each sample gathers 3 spectrum.While measure 3h,
The pH value of 5h, 7h, 9h, 12h, 24h, 48h each sample.
Fig. 1 is all near-infrared original spectrums (53 pork sample) of all pork samples at each time point, to it is each when
Between put the near infrared spectrum of collection and carry out Qualitive test respectively, spectrum seeks first derivative etc. by S-G smooth (smooth point 21)
Pretreatment, discrimination method selects factorization method, selection factor I spectrum to calculate normal meat sample averaged spectrum, PSE meat sample average light
Spectrum, normal meat sample threshold value and PSE meat sample threshold value, differentiate PSE meat sample group.Pretreated spectra passes through OPUS softwares with discriminating
(Bruker OPUS 7.2) is realized, the spectral unmixing rate at each time point is shown in Table 1.Factorization shot chart is shown in Fig. 2,3,4,5.After government official
The spectrum of two groups of meat of 3h is shown in Fig. 6 by the spectrum after pretreatment, it is seen then that in about 7600cm-1、7200cm-1、6900cm-1、6000cm-1、5300cm-1There is visible significant difference etc. wave number section, which dictates that this method is for skill that two kinds of meat differentiate
Art basis.
Factorization method：To be used to calculate one of two methods of spectrum intervals in Qualitative Analysis of Near Infrared Spectroscopy, institute is calculated
It is matching value to obtain distance, and two spectrum get over matching, then distance is shorter.
Usage factor method calculates spectrum intervals D, and usage factor T is obtained：
Wherein, i is the wave number points of collection, and a, b are two spectrum for needing to compare.
Spectrum spectrogram (for example a) need to first be expressed as the linear combination of so-called factor spectrum (load)：
A=T1a·f1+T2a·f2+T3a·f3+...
Wherein a represents spectrum spectrogram, and f represents various factor spectrums, when T represents reconstruct original spectrum a every factor spectrum
Score value, the value is bigger, and the contribution for representing the factor spectrum to original spectrum is bigger.Appropriate selection several Main Factors above, can
To improve resolution, the follow-up factor is all much noise, the interference information such as impurity, can be abandoned.
Threshold value sets：For each class spectrum, a plurality of spectrum can be all collected, and obtain averaged spectrum.In order to reasonably count
Calculate threshold value, it is necessary first to calculate the Euclidean distance Di between each individual spectral and corresponding averaged spectrum；Then obtain average
Apart from DmWith the standard deviation S of independent Euclidean distance0, n is for giving the number that the daylighting of material institute is composed in two formulas.
The information included by above-mentioned two formula, using maximum matching value (apart from averaged spectrum in i.e. all similar samples
Euclidean distance value of that the farthest sample to averaged spectrum) and standard deviation S0To calculate threshold value DT。
DT=Dmax+x·S0
Wherein, DmaxIt is Euclidean distance maximum of all individual spectrals to averaged spectrum in given same class material；X is
Default value, this method selection is set as 0.05, and confidence level is set as 99%.The method can ensure that sample is uniquely differentiated
Out, because its threshold value Euclidean distance also big 0.05S more maximum than in all individual spectrals0。
The method for screening PSE meat by normal meat sample threshold value and PSE meat sample threshold value is：The known normal meat of meat sample distance
Sample (i.e. pH45min>6.0) it is normal meat sample when the distance of averaged spectrum is less than threshold value 0.094037, it is flat apart from known class PSE meat sample
The distance of equal spectrum is PSE meat sample when being less than threshold value 0.064552.
The spectral unmixing rate (Uniquely identified) at each time point of table 1
Explanation：Discriminating herein is what the threshold value calculated by algorithm was differentiated.If Fig. 7 is the pork of 5h after killing, certain
A little samples make identification the situation of mistake occur due to exceeded threshold.No. 26 sample for for example belonging to fresh pork group is small 5
First spectrum for constantly gathering, this spectrum and the Euclidean distance of PSE pork group averaged spectrums calculated according to selected algorithm
It is 0.059558, falls within the threshold value 0.08305 of PSE groups, be identified as PSE porks, discriminating occurs and obscures.
Statistical analysis is carried out with SAS softwares to two groups of pH value, using the One-way ANOVA in variance analysis.Analysis
The results are shown in Table 2.
For the model that the near infrared spectrum using 3h after government official is differentiated, the good of model is considered with selective S values
Bad, computing formula is as follows：
Wherein, DT1Represent the threshold value of something, DT2Represent the threshold value of another material, D represent two class material mean mass it
Between distance.
Fig. 8 represents relation of the material spacing between S.Work as S<When 1, two class materials " intersecting " are represented；As S=1, table
Show that two class materials are tangent；Work as S>When 1, two classes material " from " are represented.
This model S values obtained by software are 1.047148, more than 1, illustrate that institute's established model can be fine by two kinds of materials
Differentiate.
The pH value that two groups of table 2 pair carries out the analysis result of statistical analysis with SAS softwares
PH has the structural proteins such as extremely important influence, fribrillin with environment pH to its quality after pork is killed
Change, it may occur that a certain degree of denaturation, cause the difference of near infrared spectrum；Simultaneously relatively low pH also results in protein binding
The ability reduction of water, is largely difficult circulating water and is changed into Free water, and this also results near infrared spectrum and produces difference.So after killing
PH differences are bigger, and SPECTRAL DIVERSITY is bigger.
It is thus determined that the near infrared spectrum of 3h is used for the discriminating of PSE meat after collection government official.
Beneficial effects of the present invention
Near infrared spectrum by gathering pig longissimus dorsi muscle 3h after government official, analyzes the peak type characteristic of spectrum, and spectrum is carried out
S-G is smoothed, and first derivative is sought, according to the normal meat sample in the PSE meat qualitative analysis model based near infrared spectrum set up
Averaged spectrum, PSE meat sample averaged spectrum, normal meat sample threshold value and PSE meat sample threshold value filter out PSE meat.The inventive method is qualitative
Differentiate PSE meat, and rapidly and efficiently, resolution it is high, to meat institutional framework not damaged.The present invention sets up a kind of science, standard, fast
The new method of PSE meat is screened online in the slaughterhouse of speed.
Brief description of the drawings
Fig. 1 is the near-infrared original spectrum of all pork samples.
Fig. 2 is the factorization shot chart (wherein normal group of black positive, grey is PSE groups) of 3h Qualitive tests after killing.
Fig. 3 is the factorization shot chart (wherein normal group of black positive, grey is PSE groups) of 5h Qualitive tests after killing.
Fig. 4 is the factorization shot chart (wherein normal group of black positive, grey is PSE groups) of 7h Qualitive tests after killing.
Fig. 5 is the factorization shot chart (wherein normal group of black positive, grey is PSE groups) of 9h Qualitive tests after killing.
Fig. 6 is the sample spectra of 3h after killing by the actual spectrum after pretreatment.
Fig. 7 for kill after 5h sample segments using OPUS softwares calculate exceeded threshold make identification occur mistake sectional drawing.
Fig. 8 is model judge index --- the explanation figure of the implication of selective S values.
Specific embodiment
Embodiment 1
(1) the PSE meat qualitative analysis model based near infrared spectrum is set up：
Sample collection, takes the pig longissimus dorsi muscle second half section of the live pig slaughtered on slaughter line, tests the pH of 45min after its government official,
Sample is divided into two big groups according to pH.First group：pH45min<6.0 sample fast for pH declines, as the physiology of meat after government official is given birth to
Change reaction, it will produce PSE meat, this is PSE pork groups；Second group of pH45min>6.0 sample normally declined for pH, is just
Normal pork group.53 longissimus dorsi muscle samples of pig are adopted to obtain altogether.First group：PSE meat sample group has 19 samples, second group：Normally
Meat sample group has 34 samples.
Transport the pig longissimus dorsi muscle of collection back laboratory, various kinds is gathered with Brooker Vector 22/N near infrared spectrometers
The near infrared spectrum of 3h after this government official, the contact surface bubble-free of meat sample and near infrared spectrometer in gatherer process, and by whole light source
Covering.Spectra collection parameter setting is：Sampling configuration：Integrating sphere diffusing reflection；Resolution ratio 16cm-1；Sampling number 32 times, each sample
Product gather 3 spectrum.The pH value of 3h each sample after killing is determined simultaneously.
The near infrared spectrum for being gathered is using OPUS softwares (Bruker OPUS 7.2) by smooth (the smooth points 21 of S-G
It is individual), ask first derivative etc. to pre-process, and by factorization method, selection factor I spectrum calculates normal meat sample averaged spectrum, PSE
Meat sample averaged spectrum, normal meat sample threshold value and PSE meat sample threshold value.
Threshold value sets：For each class spectrum, a plurality of spectrum can be all collected, and obtain averaged spectrum.In order to reasonably count
Calculate threshold value, it is necessary first to calculate the Euclidean distance Di between each individual spectral and corresponding averaged spectrum；Then obtain average
Apart from DmWith the standard deviation S of independent Euclidean distance0, n is for giving the number that the daylighting of material institute is composed in two formulas.
The information included by above-mentioned two formula, using maximum matching value (apart from averaged spectrum in i.e. all similar samples
Euclidean distance value of that the farthest sample to averaged spectrum) and standard deviation S0To calculate threshold value DT。
DT=Dmax+x·S0
Wherein, DmaxIt is Euclidean distance maximum of all individual spectrals to averaged spectrum in given same class material；X is
Default value, this method selection is set as 0.05, and confidence level is set as 99%.The method can ensure that sample is uniquely differentiated
Out, because its threshold value Euclidean distance also big 0.05S more maximum than in all individual spectrals0.Calculate normal meat sample threshold
It is 0.094037 to be worth, and PSE meat sample threshold value is 0.064552.
The purpose of reduction original spectrum is can reach using factorization method selection factor I spectrum, factor Ⅱ spectrum is more
Set noise information is reflected, casts out the accuracy for being conducive to model.
(2) near infrared spectrum of testing sample is gathered：3h pig longissimus dorsi muscle meat to be measured after killing is gathered near infrared spectrometer
The near infrared spectrum of sample, the contact surface bubble-free of meat sample and near infrared spectrometer in gatherer process, and whole light source is covered.Light
Spectrum acquisition parameter is set as：Sampling configuration：Diffusing reflection；Resolution ratio 16cm-1；Sampling number 32 times.Using OPUS softwares (Bruker
OPUS 7.2) near infrared spectrum of meat sample to be measured to being gathered carries out S-G smooth (smooth point 21), asks first derivative and mirror
Not.Normal meat sample (i.e. pH known to the spectrum intervals of meat sample to be measured45min>6.0) distance of averaged spectrum is less than threshold value 0.094037
When be normal meat sample, the distance of distance known PSE meat sample averaged spectrum is PSE meat sample when being less than threshold value 0.064552.Due to dividing
Analysis model S values are 1.047148, more than 1, illustrate that institute's established model can well differentiate two kinds of materials.In screening process：
The spectrum intervals of meat sample to be measured is less than threshold value with the distance of known PSE meat sample averaged spectrum compared with threshold value 0.064552
0.064552, then the meat sample to be measured be defined as PSE meat sample；If greater than threshold value 0.064552, then the meat sample to be measured is non-PSE meat
Sample, by normal meat sample (i.e. pH known to the spectrum intervals of the meat sample to be measured45min>6.0) distance and threshold value of averaged spectrum
0.094037 compared to threshold value 0.094037 is less than, then the meat sample is normal meat sample, if also greater than threshold value 0.094037, this is treated
It is the third meat sample in addition to normal meat sample and PSE meat sample to survey meat sample.
According to checking, the accuracy rate of screening technique screening PSE meat sample is 100%.
Comparative example：
PH methods：45min can predict PSE meat after government official, and the world is widely recognized as；The prediction of pH methods is accurate.
But pH methods have the following disadvantages, it is necessary to by test probe insert meat in, have injury to pork trunk, friendship can be produced
Fork pollution, and test speed is slow, typically needs 1min or so readings to stablize, and is not suitable for slaughterhouse on-line checking.
The PSE pork screening techniques based near infrared spectrum have advantages below described in embodiment 1：Prediction is accurate, spectrum
Collection is rapid, scanning record 1 time only need to less than 0.3s, to sample nondestructive, if by alignment probe meat sample, not light leak.
Claims (6)
1. a kind of PSE meat screening technique based near infrared spectrum, it is characterised in that：Pig after killing is gathered near infrared spectrometer to carry on the back
The near infrared spectrum of eye muscle meat sample to be measured, the near infrared spectrum of the meat sample to be measured to being gathered is pre-processed, and is then passed through
Normal meat sample averaged spectrum, PSE meat sample averaged spectrum in PSE meat qualitative analysis model based near infrared spectrum, normal meat
Sample threshold value and PSE meat sample threshold value filter out PSE meat, and the spectrum of the meat sample to be measured is less than with the distance of normal meat sample averaged spectrum
It is normal meat sample during normal meat sample threshold value, is PSE meat sample when being less than PSE meat sample threshold value with the distance of PSE meat sample averaged spectrum；
The method for building up of the PSE meat qualitative analysis model based near infrared spectrum is：Normal meat sample group is selected by pH methods
With PSE meat sample group, pig longissimus dorsi muscle meat sample after killing in normal meat sample group and PSE meat sample group is gathered respectively near infrared spectrometer
Near infrared spectrum, the near infrared spectrum of two groups of meat samples to being gathered is pre-processed, and then selects first by factorization method
Factor spectrum calculates normal meat sample averaged spectrum, PSE meat sample averaged spectrum, normal meat sample threshold value and PSE meat sample threshold value；
Pig longissimus dorsi muscle meat sample to be measured is 3 hours pig longissimus dorsi muscle meat samples after killing after described government official；
Pig longissimus dorsi muscle meat sample is 3 hours pig longissimus dorsi muscle meat samples after killing after described government official.
2. method according to claim 1, it is characterised in that the computational methods of normal meat sample threshold value and PSE meat sample threshold value
For：The Euclidean distance Di between each individual spectral and corresponding averaged spectrum is calculated first；Then average distance D is obtainedmWith
The standard deviation S of independent Euclidean distance0, n is for giving the number that the daylighting of material institute is composed in two formulas；
Finally using maximum matching value DmaxWith standard deviation S0To calculate threshold value DT,
DT=Dmax+x·S0
Wherein, DmaxIt is Euclidean distance maximum of all individual spectrals to averaged spectrum in given same class material；X is default
Value is set as 0.05, and confidence level is set as 99%.
3. method according to claim 1, it is characterised in that the spectra collection parameter setting of the near infrared spectrometer is：
Sampling configuration：Diffusing reflection；Resolution ratio 16cm-1；Sampling number 32 times.
4. method according to claim 1, it is characterised in that described pretreatment is that the near infrared spectrum to being gathered enters
Row S-G is smoothed, and seeks first derivative.
5. method according to claim 4, it is characterised in that the S-G smooth smooth point is 21.
6. method according to claim 1, it is characterised in that meat sample is red near in the gatherer process of the near infrared spectrum
The contact surface bubble-free of external spectrum instrument, and whole light source is covered.
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| CN106814045A (en) * | 2016-12-16 | 2017-06-09 | 南京农业大学 | A kind of class PSE chicken decision methods based on near-infrared spectrum technique |
| CN107403181B (en) * | 2017-06-01 | 2020-05-12 | 深圳信息职业技术学院 | Lean meat and fat meat self-adaptive separation method based on Guangdong style sausage hyperspectral image |
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