CN106596464A - Near-infrared autocorrelation spectrum detection method for melamine doped in milk powder - Google Patents
Near-infrared autocorrelation spectrum detection method for melamine doped in milk powder Download PDFInfo
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- 235000013336 milk Nutrition 0.000 title claims abstract description 120
- 239000008267 milk Substances 0.000 title claims abstract description 120
- 210000004080 milk Anatomy 0.000 title claims abstract description 120
- 239000000843 powder Substances 0.000 title claims abstract description 113
- 238000001228 spectrum Methods 0.000 title claims abstract description 79
- 229920000877 Melamine resin Polymers 0.000 title claims abstract description 22
- JDSHMPZPIAZGSV-UHFFFAOYSA-N melamine Chemical compound NC1=NC(N)=NC(N)=N1 JDSHMPZPIAZGSV-UHFFFAOYSA-N 0.000 title claims abstract description 21
- 238000001514 detection method Methods 0.000 title claims abstract description 20
- 239000011159 matrix material Substances 0.000 claims abstract description 46
- 238000002329 infrared spectrum Methods 0.000 claims abstract description 35
- 230000001360 synchronised effect Effects 0.000 claims abstract description 19
- 238000004445 quantitative analysis Methods 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims abstract description 10
- 238000002474 experimental method Methods 0.000 claims description 26
- 238000012360 testing method Methods 0.000 claims description 6
- 239000000203 mixture Substances 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 10
- 235000013305 food Nutrition 0.000 abstract description 3
- 238000004497 NIR spectroscopy Methods 0.000 abstract 1
- 238000005100 correlation spectroscopy Methods 0.000 description 7
- 238000002790 cross-validation Methods 0.000 description 6
- 235000008476 powdered milk Nutrition 0.000 description 6
- 235000013350 formula milk Nutrition 0.000 description 5
- 150000001412 amines Chemical class 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 description 2
- XZMCDFZZKTWFGF-UHFFFAOYSA-N Cyanamide Chemical compound NC#N XZMCDFZZKTWFGF-UHFFFAOYSA-N 0.000 description 2
- 230000000875 corresponding effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 229910000530 Gallium indium arsenide Inorganic materials 0.000 description 1
- 229910021529 ammonia Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000000481 breast Anatomy 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- -1 melamine Amine Chemical class 0.000 description 1
- 238000005528 milk analysis Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 238000004611 spectroscopical analysis Methods 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
- 230000017105 transposition Effects 0.000 description 1
- 238000005829 trimerization reaction Methods 0.000 description 1
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- 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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
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Abstract
The invention discloses a near-infrared autocorrelation spectrum detection method for melamine doped in milk powder. The method comprises the following steps: (1) preparing pure milk and milk powders doped by melamine with different concentrations; (2) scanning the near-infrared spectra of the pure milk and the milk powders doped by melamine; (3) carrying out calculation so as to obtain a synchronous two-dimensional near-infrared correlation spectrum matrix of the milk powders doped by melamine; (4) extracting elements on a principal diagonal of the synchronous two-dimensional near-infrared correlation spectrum matrix so as to obtain an autocorrelation spectrum matrix; (5) establishing a quantitative analysis model by using a partial least squares method; and (6) substituting the quantitative analysis model with the autocorrelation spectrum matrix of an unknown milk powder sample so as to obtain the content of melamine in the unknown milk powder sample. Compared with conventional one-dimensional near-infrared spectroscopy, the method provided by the invention can more effectively extract the characteristic information of trace melamine in milk powder, realizes accurate prediction of the content of melamine in the unknown milk powder sample, shortens modeling time, improves modeling and analysis efficiency and can be applied to adulteration detection of other food.
Description
Technical field
The invention belongs to detection method field, mixes the near-infrared autocorrelation spectrum of tripolycyanamide in more particularly to a kind of milk powder
Detection method.
Background technology
Tripolycyanamide is often incorporated in milk product as a kind of Organic Chemicals by some lawless persons, to improve breast
The protein level of product.This adulterated milk powder can cause damage to consumer's body, or even dead.Therefore, food control office
All need a kind of quickly and easily detection method of development badly to monitor the links of milk product production with consumer, to ensure newborn system
The quality of product.
Near infrared spectrum has been widely used in the Quality Detection of milk product as a kind of quickly and easily analytical technology
In.But because milk powder has strong scattering to light, simultaneously because the milligram ammonia of tripolycyanamide is mixed, and the feature of tripolycyanamide
Information is overlapped with the intrinsic component information of milk powder, therefore conventional one-dimensional near infrared spectrum is difficult from light that is complicated, overlapping, change
Faint information is extracted in spectrum.Compared with conventional one-dimensional near-infrared spectrum method, two-dimentional near-infrared Correlated Spectroscopy has high spectrum
Resolution, high selectivity and high spectrum analysis ability, can extract more determinand characteristic informations.Therefore, two dimension is near red
Outer Correlated Spectroscopy also should be applied in the detection of adulterated milk product with reference to multidimensional Chemical Measurement, but the method is built upon multidimensional
It is long the time required to modeling on the basis of data, it is less efficient.
Chinese invention patent application publication number CN103792198A disclose mix in a kind of milk the mid-infrared of tripolycyanamide-
Near-infrared Correlated Spectroscopy method of discrimination, the method is directly used for two-dimensional correlation spectrum matrix to mix the qualitative discrimination point of tripolycyanamide milk
Analysis, it is impossible to carry out quantitative analyses.In addition, though its analysis result is preferably, but Two-dimensional spectrum is three-dimensional matrice, comprising substantial amounts of
Data, need multidimensional Chemical Measurement to be modeled, and model is complicated, and the calculating time is long, and efficiency is low.
The content of the invention
For the deficiencies in the prior art, the present invention provides the near-infrared auto-correlation that tripolycyanamide is mixed in a kind of milk powder
Spectrum detection method, using the content of melamine in autocorrelation spectrum quantitative analyses milk powder, the detection method is not only effectively extracted
Tripolycyanamide characteristic information micro in milk powder, and overcome and be directly based upon that two-dimentional near-infrared Correlated Spectroscopy modeling efficiency is low to ask
Topic, the method is simple, science, analysis efficiency and precision of prediction are high.
The present invention is achieved by the following technical solutions：
The near-infrared autocorrelation spectrum detection method of tripolycyanamide is mixed in a kind of milk powder, its step is：
(1) preparing experiment pure milk powder and the adulterated melamine with experiment pure milk powder doping variable concentrations tripolycyanamide
Amine milk powder；
(2) respectively near infrared spectrum, the near infrared spectrum of adulterated tripolycyanamide milk powder with pure milk powder is tested in scanning, respectively
The experiment one-dimensional near infrared spectrum data of pure milk powder and the one-dimensional near infrared spectrum data of adulterated tripolycyanamide milk powder are obtained, and is passed through
It is calculated and tests with the average modal data of one-dimensional near-infrared of pure milk powder；
(3) by the experiment average modal data of one-dimensional near-infrared of pure milk powder and the one-dimensional near-infrared of adulterated tripolycyanamide milk powder
Spectroscopic data constitutes by rows light spectrum matrix, and according to Noda theories two-dimensional correlation calculating is carried out, and obtains experiment and uses adulterated trimerization
The synchronous two dimension near-infrared correlation spectrum matrix of cyanamide milk powder；
(4) element on the synchronous two dimension near-infrared correlation spectrum matrix leading diagonal of the adulterated tripolycyanamide milk powder of experiment is extracted,
Obtain testing with the autocorrelation spectrum matrix of adulterated tripolycyanamide milk powder；
(5) experiment is adopted into partially minimum with the autocorrelation spectrum matrix of adulterated tripolycyanamide milk powder with melamine concentration matrix
Square law sets up Quantitative Analysis Model；
(6) unknown sample milk powder is carried out into the one-dimensional near infrared spectrum number that near infrared spectrum scanning obtains unknown sample milk powder
According to by experiment with the average modal data of one-dimensional near-infrared of pure milk powder and the one-dimensional near infrared spectrum data of unknown sample milk powder by row
Light spectrum matrix is rearranged, it is theoretical according to Noda, the synchronous two dimension near-infrared correlation spectrum matrix of unknown sample milk powder is calculated, and carry
Element on leading diagonal is taken, unknown sample milk powder autocorrelation spectrum matrix is obtained, unknown sample milk powder autocorrelation spectrum matrix is substituted into
Quantitative Analysis Model in above-mentioned steps (5), obtains the content of tripolycyanamide in unknown sample milk powder.
And, described near infrared spectrum is 4000-10000cm using wave band-1。
And, described near infrared spectrum preferred bands scope is：4200-7000cm-1。
Advantages of the present invention and beneficial effect are：
1st, the near-infrared autocorrelation spectrum detection method of tripolycyanamide is mixed in milk powder of the invention, relative to conventional one-dimensional near red
External spectrum, can more effectively extract tripolycyanamide characteristic information micro in milk powder, be capable of achieving tripolycyanamide in unknown powdered milk sample
The Accurate Prediction of content.
2nd, the near-infrared autocorrelation spectrum detection method of tripolycyanamide is mixed in milk powder of the invention, is quantitative using autocorrelation spectrum
Content of melamine in analysis milk powder, autocorrelation spectrum is only element on two-dimensional correlation spectrum matrix leading diagonal, so relatively whole
Individual two-dimensional correlation spectrum matrix, characteristic is few, and modeling efficiency is high.
3rd, the method for the present invention is simple, science, analysis efficiency and precision of prediction are high, extends to other food adulterations detections
In.And it is of the invention.
Description of the drawings
Fig. 1 is the one-dimensional atlas of near infrared spectra for mixing tripolycyanamide milk powder；
Fig. 2 is the synchronous two dimension near-infrared Correlated Spectroscopy of adulterated milk powder；
Fig. 3 is the autocorrelation spectrum of adulterated milk powder；
Fig. 4 is institute's established model cross-validation result；
Fig. 5 is the graph of a relation in milk powder between tripolycyanamide predictive value and measured value.
Specific embodiment
The present invention is described in further detail by following examples.It should be noted that：Following embodiments are illustrative, are not
It is determinate, it is impossible to limit protection scope of the present invention with following embodiments.
The near-infrared autocorrelation spectrum detection method of tripolycyanamide is mixed in a kind of milk powder, its step is：
(1) preparing experiment pure milk powder and the adulterated melamine with experiment pure milk powder doping variable concentrations tripolycyanamide
Amine milk powder；
(2) respectively near infrared spectrum, the near infrared spectrum of adulterated tripolycyanamide milk powder with pure milk powder is tested in scanning, respectively
The experiment one-dimensional near infrared spectrum data of pure milk powder and the one-dimensional near infrared spectrum data of adulterated tripolycyanamide milk powder are obtained, and is passed through
It is calculated the experiment average modal data of the one-dimensional near-infrared of pure milk powder；Near infrared spectrum scanning wave-number range is 4000-
10000cm-1, the preferred wave-number range of near infrared spectrum is 4200-7000cm-1；
(3) by the experiment average modal data of the one-dimensional near-infrared of pure milk powder and the one-dimensional near infrared spectrum of adulterated tripolycyanamide milk powder
The light spectrum matrix that data are constituted by rows, it is theoretical according to Noda, carry out two-dimensional correlation be calculated experiment use adulterated melamine
The synchronous two dimension near-infrared correlation spectrum matrix of amine milk powder；
(4) element on the synchronous two dimension near-infrared correlation spectrum matrix leading diagonal of the adulterated tripolycyanamide milk powder of experiment is extracted,
Obtain testing with adulterated tripolycyanamide milk powder autocorrelation spectrum matrix；
(5) experiment is adopted into an inclined most young waiter in a wineshop or an inn with adulterated tripolycyanamide milk powder autocorrelation spectrum matrix and melamine concentration matrix
Multiplication sets up Quantitative Analysis Model；
(6) unknown sample milk powder is carried out near infrared spectrum scanning and obtains the one-dimensional near infrared spectrum number of unknown sample milk powder
According to, will the experiment average modal data of the one-dimensional near-infrared of pure milk powder and the one-dimensional near infrared spectrum data of unknown sample milk powder by rows
The light spectrum matrix of composition, it is theoretical according to Noda, the synchronous two dimension near-infrared correlation spectrum matrix of unknown sample milk powder is calculated, and extract
Element on leading diagonal, obtains unknown sample milk powder autocorrelation spectrum matrix, unknown sample milk powder autocorrelation spectrum matrix is substituted into and is walked
Suddenly the Quantitative Analysis Model in (5), obtains the content of tripolycyanamide in unknown sample milk powder.
Tripolycyanamide is won for Tianjin and is provided up to dilute your chemical reagent factory in the present embodiment；Experiment is preced with youngster using Erie golden collar
Virgin formula milk (3-6 year), it is female sample to randomly select above-mentioned milk powder, is respectively configured pure powdered milk sample 40 and adulterated melamine
Amine powdered milk sample 40, its mass percent concentration scope is 0.0001%-40%.
Spectra collection adopts the ft-nir spectrometer of PerkinElmer companies of the U.S. in the present invention,
InGaAs detectors, instrument carries integrating sphere accessory.Spectral scanning range is 4000-10000cm-1, resolution is 8cm-1, sweep
Retouch at intervals of 8cm-1, scanning times 32.The good sample of above-mentioned configuration is fitted in specimen cup, is flattened, and be placed on integrating sphere rotation
Turn on sample stage, the near-infrared diffusing reflection spectrum of each sample is gathered as background, respectively with the built-in reference of integrating sphere.
Calculate synchronous two dimension near-infrared correlation spectrum matrix：
The calculating of synchronous two dimension near-infrared Correlated Spectroscopy is based primarily upon following principles：Hypothesis changes with melamine concentration is disturbed outward
Dynamic spectrum matrix be S (m × n), m is the sample number included in light spectrum matrix, and n is the number of wavelengths that each sample is gathered.
Correlation computations theoretical according to Noda, to dynamic spectrum progressive form (1), obtain this and outer disturb corresponding synchronous two dimension near-infrared phase
Close spectrum matrix:
T represents transposition in formula.In the present invention, the near-infrared of the pure milk powder of the first behavior in dynamic spectrum matrix is average
Spectrum, the pure milk powder of the second i-th of behavior or mixes the near infrared spectrum of tripolycyanamide milk powder.Each sample pair is obtained according to formula (1)
The synchronous two dimension near-infrared correlation spectrum matrix answered.The element on synchronous two dimension near-infrared correlation spectrum matrix leading diagonal is extracted, is obtained
To the corresponding autocorrelation spectrum matrix of each sample.
Fig. 1 is 40 adulterated milk powder in 4000-10000cm-1Interval is with the dynamic one-dimensional near red of melamine concentration change
External spectrum.The melamine concentration mixed with milk powder carries out correlation computations according to formula (1) to disturb outward to the dynamic spectrum of Fig. 1.
Fig. 2 is the synchronous two dimension near-infrared Correlated Spectroscopy for mixing tripolycyanamide, according to Fig. 2, selects quick with melamine concentration change in milk powder
The characteristic spectrum information area 4200-7000cm of sense-1To be analyzed modeling.Step (3) in specific embodiment and
Step (4), obtains the autocorrelation spectrum of each adulterated tripolycyanamide milk powder, sees Fig. 3.
Set up adulterated tripolycyanamide milk powder Quantitative Analysis Model：
27 are selected from 40 adulterated tripolycyanamide powdered milk samples as calibration set using E-test, it is remaining 13
Sample is used as independent forecast set.Under 5 optimal main constituents, tripolycyanamide in quantitative analyses milk powder is set up based on autocorrelation spectrum
The partial least square model of concentration.The fitting effect of partial least square model is evaluated using cross-validation, Fig. 4 is seen, its
Coefficient RcvFor 0.998, cross validation root-mean-square error (RMSECV) is 0.79 (w/w, %), shows tripolycyanamide in milk powder
Cross validation concentration has good dependency with actual concentrations, illustrates that institute's established model has preferable fitting effect.
Differentiation to unknown sample：
By the one-dimensional near infrared spectrum for determining unknown sample milk powder, using one of pure powdered milk sample used in calibration model
Dimension near-infrared averaging spectrum, according to formula (1) its synchronous two dimension near-infrared correlation spectrum matrix is calculated, and is extracted element on its leading diagonal and is obtained
To autocorrelation spectrum, and the offset minimum binary Quantitative Analysis Model using above-mentioned foundation carries out outside to forecast set unknown sample milk powder
Prediction, calculates the content of tripolycyanamide in unknown powdered milk sample.Fig. 5 is model prediction concentration (CPrediction) and actual concentrations (CIt is actual)
Linear fit, its fit correlation is：CPrediction=-0.072+1.037CIt is actual, coefficient RpFor 0.998, predicted root mean square error
(RMSEP) it is 0.63 (w/w, %), shows that melamine concentration is mixed in the milk powder of model prediction with actual concentrations closely,
Model has preferable predictive ability.
In order to compare, in 4200-7000cm-1In the range of, set up three in quantitative analyses milk powder based on one-dimensional near infrared spectrum
The mathematical model of poly cyanamid.Cross-validation root-mean-square error RMSECV of built partial least square model is 1.04 (w/
W, %), the coefficient R of its cross validation concentration and actual concentrationscvFor 0.997.Unknown sample is predicted, its prediction is dense
Correlation coefficient between degree and actual concentrations is RpFor 0.996, predicted root mean square error RMSEP is 0.84 (w/w, %).Table 1 is given
The result of two methods quantitative analyses is gone out, it is clear that from from the point of view of model performance index R, RMSECV and RMSEP, based on auto-correlation
Modeling result of the modeling result of spectrum better than conventional one-dimensional spectrum.
Table 1 is based on autocorrelation spectrum and one-dimensional spectrum doping milk powder quantitative analysis results
It is above-mentioned with reference to embodiment to mixing the detailed description of the near-infrared autocorrelation spectrum detection method of tripolycyanamide in milk powder, be
It is illustrative rather than determinate, it should explanation, in the case of the core without departing from the present invention, any simple change
Shape, modification or other skilled in the art can not spend the equivalent of creative work to each fall within the protection of the present invention
Scope.
Claims (3)
1. the near-infrared autocorrelation spectrum detection method of tripolycyanamide is mixed in a kind of milk powder, and its step is：
(1) preparing experiment pure milk powder and the adulterated tripolycyanamide milk with experiment pure milk powder doping variable concentrations tripolycyanamide
Powder；
(2) respectively scanning is tested with pure milk powder and the near infrared spectrum of adulterated tripolycyanamide milk powder, is respectively obtained experiment and is used pure milk
The one-dimensional near infrared spectrum data of powder and adulterated tripolycyanamide milk powder, and by being calculated the one-dimensional near red of the pure milk powder of experiment
Outer average modal data；
(3) by the experiment average modal data of one-dimensional near-infrared of pure milk powder and the one-dimensional near infrared spectrum of adulterated tripolycyanamide milk powder
Data constitute by rows light spectrum matrix, and according to Noda theories two-dimensional correlation calculating is carried out, and obtain experiment and use adulterated tripolycyanamide
The synchronous two dimension near-infrared correlation spectrum matrix of milk powder；
(4) element on the synchronous two dimension near-infrared correlation spectrum matrix leading diagonal of the adulterated tripolycyanamide milk powder of experiment is extracted, is obtained
Test with the autocorrelation spectrum matrix of adulterated tripolycyanamide milk powder；
(5) experiment is adopted into offset minimum binary with the autocorrelation spectrum matrix of adulterated tripolycyanamide milk powder with melamine concentration matrix
Method sets up Quantitative Analysis Model；
(6) unknown sample milk powder is carried out into the one-dimensional near infrared spectrum data that near infrared spectrum scanning obtains unknown sample milk powder,
To test with the average modal data of one-dimensional near-infrared of pure milk powder with the one-dimensional near infrared spectrum data of unknown sample milk powder by rows
Composition light spectrum matrix, it is theoretical according to Noda, the synchronous two dimension near-infrared correlation spectrum matrix of unknown sample milk powder is calculated, and extract master
Element on diagonal, obtains the autocorrelation spectrum matrix of unknown sample milk powder, and the autocorrelation spectrum matrix of unknown sample milk powder is substituted into
Quantitative Analysis Model in above-mentioned steps (5), obtains the content of tripolycyanamide in unknown sample milk powder.
2. the near-infrared autocorrelation spectrum detection method of tripolycyanamide is mixed in milk powder according to claim 1, it is characterised in that
Described near infrared spectrum is 4000-10000cm using wave band-1。
3. the near-infrared autocorrelation spectrum detection method of tripolycyanamide is mixed in milk powder according to claim 2, it is characterised in that
Described near infrared spectrum preferred bands scope is 4200-7000cm-1。
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| CN109374569A (en) * | 2018-09-27 | 2019-02-22 | 华东交通大学 | A kind of detection method of the testing melamine content in milk powder based on tera-hertz spectra |
| CN111323384A (en) * | 2020-04-21 | 2020-06-23 | 天津农学院 | Method for distinguishing urea doped in milk based on two-dimensional near-infrared correlation spectrum cutting |
| CN111351767A (en) * | 2020-04-21 | 2020-06-30 | 天津农学院 | Method for discriminating doped urea in milk based on two-dimensional near-infrared correlation spectrum application feature spectrum cutting |
| CN111650152A (en) * | 2020-04-21 | 2020-09-11 | 天津农学院 | Asynchronous near-infrared related spectrum-cutting detection method for reducing influence of brand on doped urea milk discrimination model |
| CN111693486A (en) * | 2020-04-21 | 2020-09-22 | 天津农学院 | Synchronous near-infrared correlation spectrum-cutting detection method for reducing influence of brand on doped urea milk discrimination model |
| CN114184725A (en) * | 2021-11-18 | 2022-03-15 | 上海应用技术大学 | Method and device for detecting palm oil content in raw fresh milk |
| CN114780917A (en) * | 2022-06-20 | 2022-07-22 | 中国民航大学 | Milk powder doping non-directional detection method based on flow discrimination model |
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| CN111693486A (en) * | 2020-04-21 | 2020-09-22 | 天津农学院 | Synchronous near-infrared correlation spectrum-cutting detection method for reducing influence of brand on doped urea milk discrimination model |
| CN111693486B (en) * | 2020-04-21 | 2022-01-14 | 天津农学院 | Synchronous near-infrared correlation spectrum-cutting detection method for reducing influence of brand on doped urea milk discrimination model |
| CN111323384B (en) * | 2020-04-21 | 2022-01-14 | 天津农学院 | Method for distinguishing urea doped in milk based on two-dimensional near-infrared correlation spectrum cutting |
| CN111650152B (en) * | 2020-04-21 | 2022-01-14 | 天津农学院 | Asynchronous near-infrared related spectrum-cutting detection method for reducing influence of brand on doped urea milk discrimination model |
| CN114184725A (en) * | 2021-11-18 | 2022-03-15 | 上海应用技术大学 | Method and device for detecting palm oil content in raw fresh milk |
| CN114780917A (en) * | 2022-06-20 | 2022-07-22 | 中国民航大学 | Milk powder doping non-directional detection method based on flow discrimination model |
| CN114780917B (en) * | 2022-06-20 | 2022-09-06 | 中国民航大学 | Milk powder doping non-directional detection method based on flow discrimination model |
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