CN108088808A - The near infrared spectrum quick nondestructive method for qualitative analysis of fur - Google Patents
The near infrared spectrum quick nondestructive method for qualitative analysis of fur Download PDFInfo
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- CN108088808A CN108088808A CN201611033287.3A CN201611033287A CN108088808A CN 108088808 A CN108088808 A CN 108088808A CN 201611033287 A CN201611033287 A CN 201611033287A CN 108088808 A CN108088808 A CN 108088808A
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- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000004451 qualitative analysis Methods 0.000 title claims abstract description 8
- 238000002329 infrared spectrum Methods 0.000 title claims description 4
- 238000001228 spectrum Methods 0.000 claims abstract description 35
- 238000001514 detection method Methods 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 6
- 239000000126 substance Substances 0.000 claims description 11
- 230000008569 process Effects 0.000 claims description 6
- 230000003595 spectral effect Effects 0.000 claims description 5
- 230000001678 irradiating effect Effects 0.000 claims description 4
- 238000003672 processing method Methods 0.000 claims description 4
- 238000004611 spectroscopical analysis Methods 0.000 claims description 4
- 238000012549 training Methods 0.000 claims description 4
- 241001465754 Metazoa Species 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 238000000149 argon plasma sintering Methods 0.000 claims description 2
- 238000013528 artificial neural network Methods 0.000 claims description 2
- 238000004891 communication Methods 0.000 claims description 2
- 230000006835 compression Effects 0.000 claims description 2
- 238000007906 compression Methods 0.000 claims description 2
- 238000012937 correction Methods 0.000 claims description 2
- 238000013523 data management Methods 0.000 claims description 2
- 238000003745 diagnosis Methods 0.000 claims description 2
- 238000012067 mathematical method Methods 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 claims description 2
- 230000006855 networking Effects 0.000 claims description 2
- 230000003287 optical effect Effects 0.000 claims description 2
- 238000012567 pattern recognition method Methods 0.000 claims description 2
- 238000000513 principal component analysis Methods 0.000 claims description 2
- 230000009467 reduction Effects 0.000 claims description 2
- 230000003068 static effect Effects 0.000 claims description 2
- 238000012706 support-vector machine Methods 0.000 claims description 2
- 230000009466 transformation Effects 0.000 claims description 2
- 210000004209 hair Anatomy 0.000 description 20
- 239000000835 fiber Substances 0.000 description 7
- 241000283973 Oryctolagus cuniculus Species 0.000 description 4
- 241000772415 Neovison vison Species 0.000 description 3
- 238000012850 discrimination method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 241000894007 species Species 0.000 description 3
- 210000002268 wool Anatomy 0.000 description 3
- 238000010183 spectrum analysis Methods 0.000 description 2
- 241001494479 Pecora Species 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 235000013339 cereals Nutrition 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 235000012055 fruits and vegetables Nutrition 0.000 description 1
- 125000000524 functional group Chemical group 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000009941 weaving 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
- G01N21/3563—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
-
- 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 the quick nondestructive method for qualitative analysis and equipment of a kind of fur.A kind of fur detection device is developed based on molecular spectrum and chemometrics method, by spectra collection and data processing, realizes the detection of fur Fast Classification.
Description
Technical field
The invention discloses a kind of fur quick nondestructive qualitative classifying method and equipment, more particularly to a kind of fur it is near red
External spectrum quick nondestructive qualitative classifying method and equipment.
Background technology
With the improvement of people's living standards, people more focus on wearing, it is more and more to the demand of high-grade fur clothing.
China's wildlife resource enriches, and species is various, and China is world's suede production, processing and the consumer center, is that fur industry is big
State.In the market, bad manufacturer is under the driving of enormous profits, and sale is imitated, puppet system even the fur product of personation, ordinary consumption
Person does not have distinguishing ability for the true and false of fur, and lacks the examination criteria of fur fiber in fiber check and measure system at present,
Urgently a set of practicable examination criteria is set up in research.
At present, we differentiate that animal fur type has QB/T1261-1991 using more standard《Fur industries term》
And GB/T16988-1997《Special animal fiber and the measure of sheep's wool mixture content》, QB/T1261-1991 only describes
The industry term of fur, the discrimination method without referring to fur species, GB/T16988-1997 only describe wool and the rabbit hair
Microscope differential method, do not referred to for the discrimination method of other kinds of animal fur, the identification of domestic and international animal fur
Still without unified technical standard or more ripe discrimination method.
Use for laboratory is many in the test method for differentiating fiber.At present, domestic and international fur fiber mirror method for distinguishing mainly has
Macroscopic observation method, light microscope observation, scanning electron microscope method and DNA analysis method etc..Due to common detection methods or because of operation
Complicated, sample preparation is difficult or because experiment condition requirement is harsh, accuracy is difficult to ensure that or doing because of not eliminable subjective factor
It disturbs or because finally distinguishing effect unobvious, finally all fails to realize the fast and accurately discriminating to wool fibre.
Near-infrared spectral analysis technology is to utilize vibration harmonics such as some functional group's distortions of organic molecule, stretching and combinations thereof
With the multivariate calibration methods by Chemical Measurement between absorption and sample component to be measured.By the subtle of sample room spectral information
Difference is quantitative or qualitative analysis to be carried out to sample, is a kind of analysis method of physics.Near-infrared spectral analysis technology is with it
The advantages such as quickly, easy, efficient have been recognized and have received.Its application range also expands to food, fruits and vegetables by cereal, feed
With weaving etc. fields.Therefore, the present invention is applied in the discriminating of animal fur fiber.
The content of the invention
A kind of quick nondestructive method for qualitative analysis of fur is developed based on molecular spectrum information and chemometrics method,
Including Method And Principle, method program, detection device, spectra collection method, data processing method.
Method And Principle is characterized in that：Qualitative near-infrared is to establish near-infrared qualitative model with the sample of known class, then
With the model investigate unknown sample whether such substance；Near infrared spectrum or the variable of its compression are namely formed into a multidimensional
The variable space, allied substances are located at similar position in the hyperspace, and the analytic process of unknown sample is exactly to investigate its light
Whether spectrum is located at the space where certain class substance.
Method program is characterized in that：
（1）Training process.The spectrum of known sample is gathered, different types of substance is then identified using certain mathematical method.
（2）Verification process.Can investigate model with the sample not in training set correctly identify sample type.
（3）Service stage.The spectrum of unknown sample is gathered, by it compared with the spectrum of known sample, judges its category
In any class substance.
Detection device is characterized in that：
1）Detection device chief component includes spectra collection system（Light source, monochromator, detector, sample）, microprocessor
With analysis software etc..
2）Light path flow:The light sent by light source is complex light, and scattering light is generated after irradiating sample, collects its partial dispersion
Light after monochromator splitting, is sent into detector detection, obtains the molecular spectrum of sample.Irradiating sample step can be in monochromator
Before, it can also be after monochromator.
3）Apparatus-form can be portable, can also be lab bench, can also be online.
4）The computer that data processing uses can be desktop computer, laptop, can also be embedded computer.
5）The software of spectroscopic analysis system has spectrum acquisition in real time and qualitative model foundation, sample to be tested type and model
The out-of-bounds functions such as judgement of sample；Further include data and presentation of information, data management function, communication function, fault diagnosis and peace
The functions such as global function, monitoring function, networking.
Monochromator operation principle is characterized in that：It can be grating beam splitting or be interference with Fourier transformation or being
AOTF or be optical filter or micro mirror array etc..
Detector can be single-point detector or fixed linear array detector.
Spectra collection method characteristic is：
1）Acquisition mode is diffusing reflection；
2）Sample state can be primary sample or the sample shredded；
3）In Spectroscopy procedures, sample may be at static state, can also online motion state；
4）Spectrum can be the spectrum of one-shot measurement, the averaged spectrum that can also repeatedly measure；
5）Spectral wavelength ranges can be cover 700-2500nm full spectrum, can also wherein some wavelength or some wave band or
Person is combined between them；
6) spectral resolution is arbitrary wavelength width in 0.1-20nm；
Data processing method is characterized in that：
1）Used preprocess method includes：Differential, smooth, light scattering correction（MSC）, it is centralization, PCA data dimensionality reduction, small
Ripple processing, moisture deduct etc. any one or wherein between any combination；
2）Institute's use pattern recognition methods is linear closest to method, FISHER including principal component analysis, distance, SIMCA, PLS-DA, K
Differentiate, in artificial neural network and support vector machines any one or wherein between any combination.
It is qualitative that a kind of fur quick nondestructive method for qualitative analysis and equipment that the present invention announces are suitable for all kinds of animal furs
Classification.
Description of the drawings
Fig. 1 sample spectras；
The SIMCA classification results of the fur of Fig. 2,3,4,5,6；
Q represents spectrum residual sum of squares (RSS)； T2Represent Hotelling T2One kind in inspection is estimated.
Case study on implementation
Below using fox hair, recoon dog hair, mink hair, the rabbit hair and sheepskin hair as case study on implementation to the applicable cases of patent of the present invention
It illustrates, but the scope of patent of the present invention is not limited in following embodiment.
1）The foundation of calibration model
Spectrum such as Fig. 1 of known sample is gathered first, can not be classified from artwork to all kinds of furs, then to original spectrum
The pretreatment of first derivation and average centralization is carried out, SIMCA disaggregated models is then established, and the model of foundation is tested
It demonstrate,proves, verification result such as Fig. 2,3,4,5,6, as can be seen from Figure fox hair, recoon dog hair, mink hair, the rabbit hair and sheepskin hair
Classifying quality it is all fine.
2）Practical application
Using the method for the present invention and equipment to the 18 of known fur species（Wherein fox hair 4, recoon dog hair 6, mink hair 2, the rabbit hair 5
With sheepskin hair 1）A sample carries out class test, accuracy 100%.
Claims (9)
1. developing a kind of quick nondestructive method for qualitative analysis of fur based on molecular spectrum information and chemometrics method, wrap
Include Method And Principle, method program, detection device, spectra collection method, data processing method.
2. method according to claim 11 characteristics of principle is：Qualitative near-infrared is established closely with the sample of known class
Infrared qualitative model, then with the model investigate unknown sample whether such substance；Namely by near infrared spectrum or its compression
Variable form the variable space of a multidimensional, allied substances are located at similar position in the hyperspace, and unknown sample divides
Analysis process is exactly to investigate the space whether its spectrum is located at where certain class substance.
3. method according to claim 11 performance of program is：
（1）Training process：The spectrum of known sample is gathered, different types of substance is then identified using certain mathematical method；
（2）Verification process：Can investigate model with the sample not in training set correctly identify sample type；
（3）Service stage：The spectrum of unknown sample is gathered, by it compared with the spectrum of known sample, judges which it belongs to
Class substance.
4. detection device according to claim 1 is characterized in that：
1）Detection device chief component includes spectra collection system（Light source, monochromator, detector, sample）, microprocessor
With analysis software etc.；
2）Light path flow:The light sent by light source is complex light, and scattering light is generated after irradiating sample, collects its some scattered light,
After monochromator splitting, detector detection is sent into, obtains the molecular spectrum of sample；Irradiating sample step can before monochromator,
It can also be after monochromator；
3）Apparatus-form can be portable, can also be lab bench, can also be online；
4）The computer that data processing uses can be desktop computer, laptop, can also be embedded computer；
5）The software of spectroscopic analysis system has spectrum acquisition in real time and qualitative model foundation, sample to be tested type and model out-of-bounds
The functions such as the judgement of sample；Further include data and presentation of information, data management function, communication function, fault diagnosis and safe work(
The functions such as energy, monitoring function, networking.
5. according in claim 41）The monochromator operation principle is characterized in that：Can be grating beam splitting or be interference
With Fourier transformation or being AOTF or being optical filter or micro mirror array etc..
6. according in claim 41）The detector can be single-point detector or fixed linear array detection
Device.
7. spectra collection method characteristic according to claim 1 is：
1）Acquisition mode is diffusing reflection；
2）Sample state can be primary sample or the sample shredded；
3）In Spectroscopy procedures, sample may be at static state, can also online motion state；
4）Spectrum can be the spectrum of one-shot measurement, the averaged spectrum that can also repeatedly measure；
5）Spectral wavelength ranges can be cover 700-2500nm full spectrum, can also wherein some wavelength or some wave band or
Person is combined between them；
6) spectral resolution is arbitrary wavelength width in 0.1-20nm.
8. data processing method according to claim 1 is characterized in that：
1）Used preprocess method includes：Differential, smooth, light scattering correction（MSC）, it is centralization, PCA data dimensionality reduction, small
Ripple processing, moisture deduct etc. any one or wherein between any combination；
2）Institute's use pattern recognition methods is linear closest to method, FISHER including principal component analysis, distance, SIMCA, PLS-DA, K
Differentiate, in artificial neural network and support vector machines any one or wherein between any combination.
It is qualitative that 9. fur quick nondestructive method for qualitative analysis according to claim 1 and equipment are suitable for all kinds of animal furs
Classification.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201611033287.3A CN108088808A (en) | 2016-11-23 | 2016-11-23 | The near infrared spectrum quick nondestructive method for qualitative analysis of fur |
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| CN201611033287.3A CN108088808A (en) | 2016-11-23 | 2016-11-23 | The near infrared spectrum quick nondestructive method for qualitative analysis of fur |
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| CN201611033287.3A Pending CN108088808A (en) | 2016-11-23 | 2016-11-23 | The near infrared spectrum quick nondestructive method for qualitative analysis of fur |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109211830A (en) * | 2018-08-01 | 2019-01-15 | 嘉兴市皮毛和制鞋工业研究所 | A kind of method of principal component analysis and the easily mixed fur of multicategory discriminant combination identification |
| CN111275111A (en) * | 2020-01-20 | 2020-06-12 | 陕西科技大学 | Classification method for pelts of same animal and same color |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101893557A (en) * | 2009-05-20 | 2010-11-24 | 中国农业科学院兰州畜牧与兽药研究所 | Fast and unscathed identification method of animal fur type |
| CN102236007A (en) * | 2010-05-07 | 2011-11-09 | 山东农业大学 | Method for evaluating density of animal fur |
| CN102608117A (en) * | 2012-03-09 | 2012-07-25 | 山东东阿阿胶股份有限公司 | Method for quickly identifying donkey skin |
-
2016
- 2016-11-23 CN CN201611033287.3A patent/CN108088808A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101893557A (en) * | 2009-05-20 | 2010-11-24 | 中国农业科学院兰州畜牧与兽药研究所 | Fast and unscathed identification method of animal fur type |
| CN102236007A (en) * | 2010-05-07 | 2011-11-09 | 山东农业大学 | Method for evaluating density of animal fur |
| CN102608117A (en) * | 2012-03-09 | 2012-07-25 | 山东东阿阿胶股份有限公司 | Method for quickly identifying donkey skin |
Non-Patent Citations (1)
| Title |
|---|
| 瞿秀静 编: "《现代物质结构研究方法》", 31 January 2014, 中国科学技术大学出版社 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109211830A (en) * | 2018-08-01 | 2019-01-15 | 嘉兴市皮毛和制鞋工业研究所 | A kind of method of principal component analysis and the easily mixed fur of multicategory discriminant combination identification |
| CN111275111A (en) * | 2020-01-20 | 2020-06-12 | 陕西科技大学 | Classification method for pelts of same animal and same color |
| CN111275111B (en) * | 2020-01-20 | 2023-10-31 | 陕西科技大学 | Method for classifying homozoon furs |
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