CN105588816A - Method for rapidly detecting melamine content in adulterated milk based on near infrared spectra - Google Patents
Method for rapidly detecting melamine content in adulterated milk based on near infrared spectra Download PDFInfo
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- CN105588816A CN105588816A CN201510941145.6A CN201510941145A CN105588816A CN 105588816 A CN105588816 A CN 105588816A CN 201510941145 A CN201510941145 A CN 201510941145A CN 105588816 A CN105588816 A CN 105588816A
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- melamine
- near infrared
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- milk
- milk sample
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- 239000008267 milk Substances 0.000 title claims abstract description 46
- 210000004080 milk Anatomy 0.000 title claims abstract description 37
- 235000013336 milk Nutrition 0.000 title claims abstract description 37
- 229920000877 Melamine resin Polymers 0.000 title claims abstract description 35
- JDSHMPZPIAZGSV-UHFFFAOYSA-N melamine Chemical compound NC1=NC(N)=NC(N)=N1 JDSHMPZPIAZGSV-UHFFFAOYSA-N 0.000 title claims abstract description 35
- 238000002329 infrared spectrum Methods 0.000 title claims abstract description 27
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000001228 spectrum Methods 0.000 claims abstract description 15
- 238000002790 cross-validation Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 5
- 239000000203 mixture Substances 0.000 claims description 5
- 238000005457 optimization Methods 0.000 claims description 3
- 238000002360 preparation method Methods 0.000 claims description 3
- 230000003595 spectral effect Effects 0.000 claims description 3
- 238000010606 normalization Methods 0.000 abstract 1
- 238000000611 regression analysis Methods 0.000 abstract 1
- OYPRJOBELJOOCE-UHFFFAOYSA-N Calcium Chemical compound [Ca] OYPRJOBELJOOCE-UHFFFAOYSA-N 0.000 description 3
- 229910052791 calcium Inorganic materials 0.000 description 3
- 239000011575 calcium Substances 0.000 description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- ZOKXTWBITQBERF-UHFFFAOYSA-N Molybdenum Chemical compound [Mo] ZOKXTWBITQBERF-UHFFFAOYSA-N 0.000 description 1
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 description 1
- HCHKCACWOHOZIP-UHFFFAOYSA-N Zinc Chemical compound [Zn] HCHKCACWOHOZIP-UHFFFAOYSA-N 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- MWKXCSMICWVRGW-UHFFFAOYSA-N calcium;phosphane Chemical compound P.[Ca] MWKXCSMICWVRGW-UHFFFAOYSA-N 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 239000010949 copper Substances 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- WPBNNNQJVZRUHP-UHFFFAOYSA-L manganese(2+);methyl n-[[2-(methoxycarbonylcarbamothioylamino)phenyl]carbamothioyl]carbamate;n-[2-(sulfidocarbothioylamino)ethyl]carbamodithioate Chemical compound [Mn+2].[S-]C(=S)NCCNC([S-])=S.COC(=O)NC(=S)NC1=CC=CC=C1NC(=S)NC(=O)OC WPBNNNQJVZRUHP-UHFFFAOYSA-L 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 229910052750 molybdenum Inorganic materials 0.000 description 1
- 239000011733 molybdenum Substances 0.000 description 1
- 229910052698 phosphorus Inorganic materials 0.000 description 1
- 239000011574 phosphorus Substances 0.000 description 1
- 239000011701 zinc Substances 0.000 description 1
- 229910052725 zinc Inorganic materials 0.000 description 1
Classifications
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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
- G01N21/3577—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing liquids, e.g. polluted water
-
- 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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- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a method for rapidly detecting the melamine content in adulterated milk based on near infrared spectra. The method includes the following steps that several parts of milk samples of the same mass are adulterated with melamine in sequence according to different mass ratios respectively to obtain several parts of adulterated milk samples; the near infrared spectra of the several parts of adulterated milk samples are collected; vector normalization is carried out on the collected spectra; a quantitative model of the melamine contents in the adulterated milk samples and the near infrared spectra of the adulterated milk samples is established according to a support vector regression analysis method; the near infrared spectrum of a milk sample to be detected is collected, and the melamine content in the milk sample to be detected is predicted by adopting the quantitative model. The method for rapidly detecting the melamine content in the adulterated milk based on the near infrared spectra is safe, reliable, rapid and accurate and has high practical application value.
Description
Technical field
The present invention relates to milk detection technique field, be specifically related to a kind of method based on mixing pseudo-content of melamine near infrared spectrum fast detecting milk.
Background technology
Milk is one of the most ancient natural drink, is described as " white blood ", and the importance of human body is well imagined; Milk contains abundant mineral matter, calcium, phosphorus, iron, zinc, copper, manganese, molybdenum, and milk is human calcium's best source, and calcium phosphorus ration is very suitable, is beneficial to the absorption of calcium. On market, some illegal retailers, in order to reap staggering profits, add melamine in milk, just there will be discomfort once people has drunk, and even may have serious consequences now.
Summary of the invention
For the weak point existing in above-mentioned technology, the invention provides a kind of safe and reliable, method based on mixing pseudo-content of melamine near infrared spectrum fast detecting milk fast and accurately.
The technical solution adopted for the present invention to solve the technical problems is: a kind of method based on mixing pseudo-content of melamine near infrared spectrum fast detecting milk, comprise the steps: step 1, sample preparation: in the milk sample of the quality such as some parts, mix melamine by different quality than successively respectively, obtain some parts and mix pseudo-milk sample; Step 2, spectra collection: gather the some parts of near infrared spectrums of mixing pseudo-milk sample; Step 3, spectrum pretreatment: the spectrum gathering is carried out to vector normalized; Step 4, quantitative model are set up: set up the content of melamine mixed in pseudo-milk sample and the quantitative model of its near infrared spectrum by support vector regression analytical method; Step 5, milk sample content of melamine to be measured prediction: gather the near infrared spectrum of milk sample to be measured, adopt quantitative model to predict the content of melamine of milk sample to be measured.
The scope of preferably, mixing content of melamine in described step 1 is 0.5～10%.
Preferably, when described step 2 spectra collection, milk sample temperature is 20～30 DEG C.
Preferably, when described step 2 spectra collection, spectral region 1200～1800nm.
Preferably, support vector regression analytical method in described step 4 adopts e-SVR regression model and the radial basis kernel function in support vector regression to carry out regression modeling, and adopts cross validation to be optimized the punishment parameters C in regression model, kernel functional parameter γ and loss function P.
Preferably, the scope of described punishment parameters C and kernel functional parameter γ is 0.1～1000.
Preferably, while adopting cross validation to carry out parameter optimization, require to make the coefficient correlation of quantitative model be greater than 0.995, root-mean-square error is less than 0.0001.
Compared with prior art, its beneficial effect is in the present invention: the method based on mixing pseudo-content of melamine near infrared spectrum fast detecting milk provided by the invention, and safe and reliable, quick and precisely, there is good actual application value.
Detailed description of the invention
The invention provides a kind of method based on mixing pseudo-content of melamine near infrared spectrum fast detecting milk, comprise the steps:
Step 1, sample preparation: in the milk sample of the quality such as some parts, mix melamine respectively by different quality than successively, the scope of mixing content of melamine is 0.5～10%, obtain some parts and mix pseudo-milk sample;
Step 2, spectra collection: gather the some parts of near infrared spectrums of mixing pseudo-milk sample, when spectra collection, milk sample temperature is 20～30 DEG C, spectral region 1200～1800nm;
Step 3, spectrum pretreatment: the spectrum gathering is carried out to vector normalized;
Step 4, quantitative model is set up: set up and mixed content of melamine in pseudo-milk sample and the quantitative model of its near infrared spectrum by support vector regression analytical method, described support vector regression analytical method adopts e-SVR regression model and the radial basis kernel function in support vector regression to carry out regression modeling, and adopt cross validation to the punishment parameters C in regression model, kernel functional parameter γ and loss function P are optimized, while adopting cross validation to carry out parameter optimization, the scope of described punishment parameters C and kernel functional parameter γ is 0.1～1000, requirement makes the coefficient correlation of quantitative model be greater than 0.995, root-mean-square error is less than 0.0001,
Step 5, milk sample content of melamine to be measured prediction: gather the near infrared spectrum of milk sample to be measured, adopt quantitative model to predict the content of melamine of milk sample to be measured.
Claims (7)
1. the method based on mixing pseudo-content of melamine near infrared spectrum fast detecting milk, its featureBe, comprise the steps:
Step 1, sample preparation: in the milk sample of the quality such as some parts, press respectively different quality ratio successivelyMix melamine, obtain some parts and mix pseudo-milk sample;
Step 2, spectra collection: gather the some parts of near infrared spectrums of mixing pseudo-milk sample;
Step 3, spectrum pretreatment: the spectrum gathering is carried out to vector normalized;
Step 4, quantitative model are set up: set up and mixed in pseudo-milk sample by support vector regression analytical methodContent of melamine and the quantitative model of its near infrared spectrum;
Step 5, milk sample content of melamine to be measured prediction: the near infrared light that gathers milk sample to be measuredSpectrum, adopts quantitative model to predict the content of melamine of milk sample to be measured.
2. as claimed in claim 1 based on mixing pseudo-content of melamine near infrared spectrum fast detecting milkMethod, it is characterized in that, the scope of mixing content of melamine in described step 1 is 0.5～10%.
3. as claimed in claim 1 based on mixing pseudo-content of melamine near infrared spectrum fast detecting milkMethod, it is characterized in that, when described step 2 spectra collection, milk sample temperature is 20～30 DEG C.
4. as claimed in claim 1 based on mixing pseudo-content of melamine near infrared spectrum fast detecting milkMethod, it is characterized in that, when described step 2 spectra collection, spectral region 1200～1800nm.
5. as claimed in claim 1 based on mixing pseudo-content of melamine near infrared spectrum fast detecting milkMethod, it is characterized in that, support vector regression analytical method in described step 4 adopts support vector to returnE-SVR regression model and radial basis kernel function in returning are carried out regression modeling, and adopt cross validation to returningPunishment parameters C, kernel functional parameter γ and loss function P in model are optimized.
6. as claimed in claim 5 based on mixing pseudo-content of melamine near infrared spectrum fast detecting milkMethod, it is characterized in that, the scope of described punishment parameters C and kernel functional parameter γ is 0.1～1000.
7. as claimed in claim 6 based on mixing pseudo-content of melamine near infrared spectrum fast detecting milkMethod, it is characterized in that, adopt cross validation while carrying out parameter optimization, require to make the phase of quantitative modelClose coefficient and be greater than 0.995, root-mean-square error is less than 0.0001.
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| CN201510941145.6A CN105588816A (en) | 2015-12-16 | 2015-12-16 | Method for rapidly detecting melamine content in adulterated milk based on near infrared spectra |
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| CN201510941145.6A CN105588816A (en) | 2015-12-16 | 2015-12-16 | Method for rapidly detecting melamine content in adulterated milk based on near infrared spectra |
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| CN201510941145.6A Pending CN105588816A (en) | 2015-12-16 | 2015-12-16 | Method for rapidly detecting melamine content in adulterated milk based on near infrared spectra |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106338491A (en) * | 2016-08-17 | 2017-01-18 | 中国计量大学 | Fake milk powder discriminating unit |
| CN106706555A (en) * | 2016-11-21 | 2017-05-24 | 无锡迅杰光远科技有限公司 | Milk powder determination method and system based on near infrared spectroscopy technology |
| CN108303406A (en) * | 2018-02-07 | 2018-07-20 | 武汉轻工大学 | Camellia seed oil adulteration identification method based on Raman spectrum |
| CN108426855A (en) * | 2017-02-15 | 2018-08-21 | 天津农学院 | The method of doping urea milk is differentiated based on Two-dimensional Near-infrared Correlation Spectroscopy: Theory gray-scale statistical characteristics |
| CN109342359A (en) * | 2018-10-25 | 2019-02-15 | 中国科学院上海技术物理研究所 | A rapid detection method for the concentration of other trace components incorporated in pesticides |
| CN109738386A (en) * | 2018-12-28 | 2019-05-10 | 山东益丰生化环保股份有限公司 | A kind of method of cyanamide content near infrared detection industrial liquid cyanamide |
| CN115575344A (en) * | 2022-09-22 | 2023-01-06 | 广西医科大学 | Method for simultaneously detecting oyster producing area and glycogen content based on portable near-infrared spectrometer |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106338491A (en) * | 2016-08-17 | 2017-01-18 | 中国计量大学 | Fake milk powder discriminating unit |
| CN106706555A (en) * | 2016-11-21 | 2017-05-24 | 无锡迅杰光远科技有限公司 | Milk powder determination method and system based on near infrared spectroscopy technology |
| CN108426855A (en) * | 2017-02-15 | 2018-08-21 | 天津农学院 | The method of doping urea milk is differentiated based on Two-dimensional Near-infrared Correlation Spectroscopy: Theory gray-scale statistical characteristics |
| CN108303406A (en) * | 2018-02-07 | 2018-07-20 | 武汉轻工大学 | Camellia seed oil adulteration identification method based on Raman spectrum |
| CN108303406B (en) * | 2018-02-07 | 2021-04-27 | 武汉轻工大学 | Camellia seed oil adulteration detection method based on Raman spectrum |
| CN109342359A (en) * | 2018-10-25 | 2019-02-15 | 中国科学院上海技术物理研究所 | A rapid detection method for the concentration of other trace components incorporated in pesticides |
| CN109738386A (en) * | 2018-12-28 | 2019-05-10 | 山东益丰生化环保股份有限公司 | A kind of method of cyanamide content near infrared detection industrial liquid cyanamide |
| CN115575344A (en) * | 2022-09-22 | 2023-01-06 | 广西医科大学 | Method for simultaneously detecting oyster producing area and glycogen content based on portable near-infrared spectrometer |
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