CN107340282A - The method for quick identification of Cashmere and Woolens - Google Patents
The method for quick identification of Cashmere and Woolens Download PDFInfo
- Publication number
- CN107340282A CN107340282A CN201710511850.1A CN201710511850A CN107340282A CN 107340282 A CN107340282 A CN 107340282A CN 201710511850 A CN201710511850 A CN 201710511850A CN 107340282 A CN107340282 A CN 107340282A
- Authority
- CN
- China
- Prior art keywords
- cashmere
- wool
- sample
- raman
- woolens
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 210000000085 cashmere Anatomy 0.000 title claims abstract description 79
- 238000000034 method Methods 0.000 title claims abstract description 19
- 210000002268 wool Anatomy 0.000 claims abstract description 60
- 238000001069 Raman spectroscopy Methods 0.000 claims abstract description 30
- 239000000835 fiber Substances 0.000 claims abstract description 21
- 238000001237 Raman spectrum Methods 0.000 claims abstract description 19
- 241001494479 Pecora Species 0.000 claims description 8
- 238000010224 classification analysis Methods 0.000 claims description 8
- 238000003332 Raman imaging Methods 0.000 claims description 6
- 230000005284 excitation Effects 0.000 claims description 3
- 210000004209 hair Anatomy 0.000 description 10
- 238000004458 analytical method Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 8
- 241000283707 Capra Species 0.000 description 6
- 210000004919 hair shaft Anatomy 0.000 description 6
- 239000011492 sheep wool Substances 0.000 description 6
- 238000012360 testing method Methods 0.000 description 4
- 239000000203 mixture Substances 0.000 description 3
- 230000004069 differentiation Effects 0.000 description 2
- 238000012850 discrimination method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 231100000640 hair analysis Toxicity 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 239000004753 textile Substances 0.000 description 2
- 102000011782 Keratins Human genes 0.000 description 1
- 108010076876 Keratins Proteins 0.000 description 1
- 150000001298 alcohols Chemical class 0.000 description 1
- 125000003368 amide group Chemical group 0.000 description 1
- 150000001413 amino acids Chemical class 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 150000001735 carboxylic acids Chemical class 0.000 description 1
- 238000005253 cladding Methods 0.000 description 1
- 230000001054 cortical effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 150000002148 esters Chemical class 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 150000002195 fatty ethers Chemical class 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- CSJDCSCTVDEHRN-UHFFFAOYSA-N methane;molecular oxygen Chemical compound C.O=O CSJDCSCTVDEHRN-UHFFFAOYSA-N 0.000 description 1
- 238000000879 optical micrograph Methods 0.000 description 1
- 150000002894 organic compounds Chemical class 0.000 description 1
- 150000002989 phenols Chemical class 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 125000002924 primary amino group Chemical group [H]N([H])* 0.000 description 1
- 108090000765 processed proteins & peptides Proteins 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000004451 qualitative analysis Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000007634 remodeling Methods 0.000 description 1
- 241000894007 species Species 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
Landscapes
- Health & Medical Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Physics & Mathematics (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, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
The invention discloses a kind of method for quick identification of Cashmere and Woolens, including：Fiber is gathered as sample, sample is placed directly on the slide of Raman spectroscopy instrument；Sample is tested in Raman spectroscopy instrument, distinguishes in fiber whether contain cashmere or wool using the characteristic peak of Raman spectrum.The present invention by the method for Raman spectrum, can quickly, accurate, inexpensive identify cashmere and wool.
Description
Technical field
The present invention relates to a kind of discrimination method, specifically, is related to a kind of method for quick identification of Cashmere and Woolens.
Background technology
How the discriminating of quick and easy progress Cashmere and Woolens, be many textile enterprise demand.Unlike wool,
The surface scale thickness ratio wool of cashmere fiber is thin, is annularly coated on more on hair shaft, and it is in zyklopisch that the scale of wool is thicker.
The density cashmere of scale covering hair shaft is smaller than wool, causes the cashmere fiber feel different from wool：Cashmere fiber feel is slided
It is refreshing, and wool is relatively rough with respect to feel.Because the scale of cashmere is thinner than wool, the through performance of light under the microscope
Good, printing opacity is uniform, fiber brightness uniformity, shadow-free sense, no projection；And the scale of wool is thick, printing opacity is uneven, the more shades of hair shaft
Sense and projection.The scale cladding hair shaft of cashmere fiber is close, rake angle very little, and smoother is smooth；And wool is compared due to scale
Thick and cause rake angle big, protrusion of surface is more, lacks smooth sense.The Length of the scale of cashmere is longer, and spacing is big, arranges closeer than wool
Spend small, the coefficient of friction between scale is small, therefore its to wash rear feltability better than wool；And wool difference.Cashmere fiber hair shaft is uniform,
Seldom reverse, deformation；And wool fiber hair shaft is uneven, reverse more.Because positive and negative cortical layer is in both sides distribution, the volume of cashmere
Curvature is smaller than the crimpness of wool.
Difference based on cashmere and wool, in cashmere and wool differentiate, currently used method is to utilize optical microphotograph
Mirror carries out the discriminating of cashmere and wool, it is necessary to observe two kinds of fiber scale structures and configuration to be distinguish between.But this mirror
Identification person is not needed to have stronger professional knowledge, and the understanding to Cashmere and Woolens characteristic.
The content of the invention
Technical problem solved by the invention is to provide a kind of method for quick identification of Cashmere and Woolens, can be quick, accurate, low
Cost identifies cashmere and wool.
Technical scheme is as follows：
A kind of method for quick identification of Cashmere and Woolens, including：
Fiber is gathered as sample, sample is placed directly on the slide of Raman spectroscopy instrument；
Sample is tested in Raman spectroscopy instrument, whether contained to distinguish in fiber using the characteristic peak of Raman spectrum
There are cashmere or wool.
Further：Principal component identification and classification analysis is carried out to gathered data, further discriminates between cashmere and wool.
Further：Each sample collection at least 3 times, obtain the Raman spectrogram of difference.
Further：The excitation source of Raman spectroscopy instrument uses 532nm laser, time for exposure 0.03s.
Further：The characteristic peak that Raman spectrum chooses 1207cm-1 is analyzed.
Further：Raman spectroscopy instrument selects DXRxi microscopic Raman imaging spectrometers.
Compared with prior art, the technology of the present invention effect includes：
1st, the method that the present invention passes through Raman spectrum, it is not necessary to stronger professional knowledge background, you can quick, accurate, low
Cost identifies cashmere and wool.
2nd, discrimination of the present invention is high.
The present invention can not only differentiate to the fiber of different cultivars, while can carry out the source of species of different cultivars
Differentiate, more can even carry out the discriminating of same kind individual, be a kind of discrimination method of high sensitivity high accuracy, it is this super
Quickly, inexpensive Cashmere and Woolens differentiates significant to textile enterprise.The present invention is not only for same, to same
The woollen and cashmere of body may also differentiate between.
3rd, of the invention, sample process is simple, it is not necessary to which any direct loading of processing is i.e. detectable；It is easy to operate, it is not necessary to
Too high technical background, it is easy to grasp, it is only necessary to which 1 equipment is acquired data.
4th, testing result is stable, and sample multiplicity is high.
5th, detection low cost.Slide is only needed for single sample, single sample can't detect 1 mao.
Brief description of the drawings
Fig. 1 is the Raman spectrogram of embodiment one in the present invention；
Fig. 2 is the TQ software Raman spectrum analysis figures of embodiment one in the present invention；
Fig. 3 is the mahalanobis distance schematic diagram of the principal component cluster of embodiment one in the present invention；
Fig. 4 is the mahalanobis distance schematic diagram of the principal component cluster of embodiment two in the present invention；
Fig. 5 is the Raman spectrogram of embodiment three in the present invention；
Fig. 6 is the mahalanobis distance schematic diagram of the principal component cluster of embodiment three in the present invention；
Fig. 7 is the mahalanobis distance schematic diagram of the principal component cluster of example IV in the present invention.
Embodiment
Technical solution of the present invention is elaborated below with reference to example embodiment.However, example embodiment can
Implement in a variety of forms, and be not understood as limited to embodiment set forth herein；On the contrary, these embodiments are provided so that
The design of example embodiment more comprehensively and completely, and is comprehensively communicated to those skilled in the art by the present invention.
Uniqueness of the invention according to Raman spectroscopy fingerprint recognition, it is possible to achieve the composition of unknown sample is qualitative, together
When according to the high sensitivity of DXR2xi microscopic Raman imaging spectrometers and the characteristic of high spatial resolution, can easily realize micro-nano
The test of meter level sample, and preparation of the test process without sample, do not destroy sample；With reference to TQ software fast spectrum preview work(
Can, it is simple to operate quick.Supper-fast imaging is realized using the DXR2xi microscopic Raman imaging spectrometers of innovation, according to analysis purpose
Obtain the distribution situation of each composition of microcell of sample.
The method for quick identification of Cashmere and Woolens, including：
Step 1：Fiber is gathered as sample, sample is placed directly on the slide of Raman spectroscopy instrument；
Raman spectroscopy instrument selects DXRxi (DXRxi Raman Imaging Microscope) microscopic Raman imaging
Spectrometer.
Step 2：Sample is made a preliminary test in Raman spectroscopy instrument, fibre is distinguished using the characteristic peak of Raman spectrum
Whether contain cashmere or wool in dimension；
Each minimum 3 times of sample collection, obtain the Raman spectrogram of difference.The excitation source of Raman spectroscopy instrument uses
532nm laser, time for exposure 0.03s.Be scanned through result show down producing goat equally cashmere Raman spectrum in 1207cm-
The characteristic peak of 1 (1207 sites are C-O singly-bounds) nearby is relatively stronger than fine-wool sheep hair Raman spectrogram.
Step 3：Principal component identification and classification analysis is carried out to gathered data, further discriminates between cashmere and wool.
Further expand colony's checking, carry out principal component identification and classification analysis by TQ softwares, as a result show heterogeneous fleece quilt
Individual in wool and cashmere can be very good to distinguish.
TQ softwares (TQ Analyst softwares) are a general spectral analysis softwares, its infrared, near-infrared in being,
The application of far infrared and Raman spectrum analysis provides various qualitative and quantitative analysis instruments.The software is except including various algorithm works
Tool is outer, additionally it is possible to provides the user friendly, easy-to-use graphical interfaces directly perceived, and extensive online help information.
By wool fiber classification of type, sheep fleece wool (the whole wools grown on sheep body) can be divided into:Homogeneity hair is (same
Type hair) and heterogeneous fleece (special-shaped hair) two major classes.Homogeneity hair refers to the hair that same type of wool fiber is formed, its feature
Be wool fibre diameter, length, curling and other barment tags it is essentially identical；And heterogeneous fleece be then had concurrently in hair fine hair,
There is marrow hair, differed without the different types of wool fiber such as curling and few frizzle, various chemistry, physical and mechanical properties.
Analyzed and verified as sample using goat cashmere, goat wool, fine wool and coarse-wooled sheep wool below
Conclusion.
Embodiment one
1st, for heterogeneous fleece by wool, the carry out Raman spectrum analysis of cashmere in same individual；
Down producing goat is heterogeneous fleece quilt, and the lint ratio in same individual is 1：3~10.This experiment is first by Raman spectrum area
Divide same individual different fine hair samples, the wool in same individual, cashmere are placed on Raman spectroscopy instrument as sample
Analyzed on slide.
As shown in figure 1, it is the Raman spectrogram of embodiment one in the present invention.
Abscissa is Raman shift, exactly scatters wave-number difference of the light relative to incident light, and ordinate is photon counting, is exactly
Scatter the intensity of light.
Light source uses 532nm laser, time for exposure 0.03s, is scanned through same individual wool, the Raman of cashmere sample
Spectrogram, as a result show that characteristic peak of the Raman spectrum of cashmere near 1207cm-1 is more relatively strong than wool Raman spectrogram.
According to the important group frequency analysis of representative organic compounds, this characteristic peak is speculated as C-O (carbon oxygen singly-bound) feature
Peak.Absorbed from spectral signature peak and judge to cause this difference on Cashmere and Woolens to be by phenols, alcohols, fatty ethers, carboxylic acid
C-O keys change in class and esters.Fine hair sample basic composition is keratin, and when forming albumen C- can occur for amino acid
The fracture of O keys, amido link is formed with amino, is condensed into peptide bond, illustrate cashmere and the wool difference on peptide formation.
2nd, the identification and classification for expanding colony to woollen and cashmere in the Different Individual of heterogeneous fleece quilt is analyzed.
As shown in Fig. 2 it is the mahalanobis distance schematic diagram of the principal component cluster of embodiment one in the present invention.
Expand colony's checking, carry out principal component identification and classification analysis by TQ softwares, as a result show the individual of heterogeneous fleece quilt
In wool and cashmere can be very good to distinguish.
Abscissa is the distance value that sample arrives wool in figure, and ordinate is the distance value of sample to cashmere, can be with from figure
Find out that the sample X transverse axis coordinate of cashmere is more than Y ordinate of orthogonal axes, illustrate the sample to cashmere distance closer to belonging to cashmere.And again
Duplicate sample is originally got together, and can be very good to differentiate cashmere and wool.
Embodiment two
1st, Raman spectrum analysis is carried out as sample using fine wool and cashmere.
As shown in figure 3, it is the Raman spectrogram of embodiment two in the present invention.
Light source uses 532nm laser, time for exposure 0.03s, is scanned through result and shows down producing goat equally in cashmere
Characteristic peak of the Raman spectrum near 1207cm-1 is relatively stronger than fine-wool sheep hair Raman spectrogram.
Abscissa is wavelength, and ordinate is spectral intensity, it can be seen that strong in 1207.45 position cashmere samples
Degree is higher than wool sample, cashmere sample existing characteristics peak.
2nd, principal component identification and classification analysis is carried out after expanding colony.
As shown in figure 4, it is the mahalanobis distance schematic diagram of the principal component cluster of embodiment two in the present invention.
Components analysis differentiation is carried out by TQ softwares, as a result shows that same fine wool and cashmere can be very good to distinguish.
Abscissa is distance value of the sample to fine wool from figure, and ordinate is distance value of the sample to cashmere, from figure
It can be seen that the sample X transverse axis coordinate of cashmere is more than Y ordinate of orthogonal axes, illustrate the sample to cashmere distance closer to belonging to cashmere.And
And repeated sample is got together, can be very good to differentiate cashmere and fine wool.
Embodiment three
1st, Raman spectrum map analysis is carried out as sample using coarse-wooled sheep wool and cashmere；
As shown in figure 5, it is the Raman spectrogram of embodiment three in the present invention.
Light source uses 532nm laser, time for exposure 0.03s, is scanned through result and shows that the Raman spectrum of cashmere exists
Characteristic peak near 1207cm-1 is relatively stronger than fine wool Raman spectrogram.
Being scanned through result shows characteristic peak of the Raman spectrum of cashmere near 1207cm-1 than fine wool Raman spectrum
Figure is relatively strong.
2nd, principal component identification and classification analysis is carried out after expanding colony.
As shown in fig. 6, it is the mahalanobis distance schematic diagram of the principal component cluster of embodiment three in the present invention.
Principal component identification and classification analysis is carried out by TQ softwares, the common and braid wool and cashmere for as a result showing the sample can be fine
Differentiation.
Abscissa be sample arrive common and braid wool distance value, ordinate be sample to the distance value of cashmere, can from figure
The sample X transverse axis coordinate for going out cashmere is more than Y ordinate of orthogonal axes, illustrates the sample to cashmere distance closer to belonging to cashmere.And repeat
Sample is got together, and can be very good to differentiate cashmere and common and braid wool.
Example IV
Analyzed using goat cashmere, fine wool and coarse-wooled sheep wool as the principal component identification and classification of sample.
As shown in fig. 7, it is the mahalanobis distance schematic diagram of the principal component cluster of example IV in the present invention.
Abscissa is distance value of the sample to coarse wool wool from figure, and ordinate is distance value of the sample to fine, soft fur wool,
As can be seen from the figure fine-wool sheep sample is more than Y ordinate of orthogonal axes to X transverse axis coordinate, illustrates the sample to Y distances closer to belonging to thin
Mao Yang.Coarse-wooled sheep sample is more than X ordinate of orthogonal axes to Y transverse axis coordinate, illustrates the sample to X distances closer to belonging to coarse-wooled sheep.Cashmere
Sample is placed in the middle, and repeated sample is got together, and can be very good to differentiate cashmere and wool.
By result as can be seen that cashmere and fine wool cluster compare concentration, coarse-wooled sheep wool group clustering compares
Dissipate, the fineness dispersion of this and coarse-wooled sheep wool matters a lot, but should be apparent that from figure cashmere, coarse-wooled sheep wool and
Fine wool cluster is different colony, it is seen that the present invention is that one kind can quickly carry out Cashmere and Woolens mirror method for distinguishing.
Term used herein is explanation and exemplary and nonrestrictive term.Because the present invention can be with a variety of
Form specific implementation without departing from the spiritual or substantive of invention, it should therefore be appreciated that above-described embodiment be not limited to it is any foregoing
Details, and should widely being explained in the spirit and scope that appended claims are limited, thus fall into claim or its etc.
Whole changes and remodeling in the range of effect all should be appended claims and covered.
Claims (6)
1. a kind of method for quick identification of Cashmere and Woolens, including：
Fiber is gathered as sample, sample is placed directly on the slide of Raman spectroscopy instrument；
Sample is tested in Raman spectroscopy instrument, distinguishes in fiber whether contain sheep using the characteristic peak of Raman spectrum
Suede or wool.
2. the method for quick identification of Cashmere and Woolens as claimed in claim 1, it is characterised in that：Principal component is carried out to gathered data to sentence
Other classification analysis, further discriminates between cashmere and wool.
3. the method for quick identification of Cashmere and Woolens as described in claims 1 or 2, it is characterised in that：Each sample collection at least 3
It is secondary, obtain the Raman spectrogram of difference.
4. the method for quick identification of Cashmere and Woolens as described in claims 1 or 2, it is characterised in that：Raman spectroscopy instrument
Excitation source uses 532nm laser, time for exposure 0.03s.
5. the method for quick identification of Cashmere and Woolens as described in claims 1 or 2, it is characterised in that：Raman spectrum is chosen
1207cm-1 characteristic peak is analyzed.
6. the method for quick identification of Cashmere and Woolens as described in claims 1 or 2, it is characterised in that：Raman spectroscopy instrument selects
With DXRxi microscopic Raman imaging spectrometers.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710511850.1A CN107340282A (en) | 2017-06-27 | 2017-06-27 | The method for quick identification of Cashmere and Woolens |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710511850.1A CN107340282A (en) | 2017-06-27 | 2017-06-27 | The method for quick identification of Cashmere and Woolens |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107340282A true CN107340282A (en) | 2017-11-10 |
Family
ID=60218024
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710511850.1A Pending CN107340282A (en) | 2017-06-27 | 2017-06-27 | The method for quick identification of Cashmere and Woolens |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107340282A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108226129A (en) * | 2017-12-28 | 2018-06-29 | 广州纤维产品检测研究院 | A kind of leather qualitative identification method based on Raman spectrum |
| CN113637775A (en) * | 2021-09-02 | 2021-11-12 | 内蒙古农业大学 | SNP molecular marker influencing fine character of cashmere and application thereof |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101140223A (en) * | 2007-08-29 | 2008-03-12 | 国际竹藤网络中心 | Textile fibre identification method |
| CN101187635A (en) * | 2007-12-21 | 2008-05-28 | 浙江大学 | Method for identifying textile fibers based on Raman spectra qualitative identification |
| WO2016027792A1 (en) * | 2014-08-22 | 2016-02-25 | 一般財団法人ニッセンケン品質評価センター | Fiber identification method |
-
2017
- 2017-06-27 CN CN201710511850.1A patent/CN107340282A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101140223A (en) * | 2007-08-29 | 2008-03-12 | 国际竹藤网络中心 | Textile fibre identification method |
| CN101187635A (en) * | 2007-12-21 | 2008-05-28 | 浙江大学 | Method for identifying textile fibers based on Raman spectra qualitative identification |
| WO2016027792A1 (en) * | 2014-08-22 | 2016-02-25 | 一般財団法人ニッセンケン品質評価センター | Fiber identification method |
Non-Patent Citations (2)
| Title |
|---|
| 侯秀良等: "采用激光纤维拉曼光谱仪研究山羊绒、羊毛纤维的结构", 《毛纺科技》 * |
| 刘心如等: "可见-近红外漫反射光谱技术对羊毛和羊绒的鉴别研究", 《光谱学与光谱分析》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108226129A (en) * | 2017-12-28 | 2018-06-29 | 广州纤维产品检测研究院 | A kind of leather qualitative identification method based on Raman spectrum |
| CN113637775A (en) * | 2021-09-02 | 2021-11-12 | 内蒙古农业大学 | SNP molecular marker influencing fine character of cashmere and application thereof |
| CN113637775B (en) * | 2021-09-02 | 2024-01-30 | 内蒙古农业大学 | SNP molecular marker affecting fine characteristics of cashmere and application thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Peets et al. | Reflectance FT-IR spectroscopy as a viable option for textile fiber identification | |
| US8190551B2 (en) | Classification of fabrics by near-infrared spectroscopy | |
| Zhou et al. | Textile fiber identification using near-infrared spectroscopy and pattern recognition | |
| Kirkbride | Infrared microspectroscopy of fibres | |
| CN104568778B (en) | A kind of textile component discrimination method based on high light spectrum image-forming | |
| CN104730004B (en) | The discrimination method of the textile fabric based on UV Diffuse Reflectance Spectroscopy | |
| CN111707656B (en) | Cerebrospinal fluid cell detection method and system based on Raman scattering spectrum | |
| JP2020034565A (en) | Fiber identification method | |
| CN112649391A (en) | Fiber quality grade online detection system and application thereof | |
| Palenik | Microscopical examination of fibres | |
| CN107340282A (en) | The method for quick identification of Cashmere and Woolens | |
| De Frond et al. | What determines accuracy of chemical identification when using microspectroscopy for the analysis of microplastics? | |
| Flynn et al. | Forensic analysis of bicomponent fibers using infrared chemical imaging | |
| CN106706548A (en) | Polyester fiber qualitative identification method based on infrared spectral curve fitting peak splitting technique | |
| Vineis et al. | A UPLC/ESI–MS method for identifying wool, cashmere and yak fibres | |
| Fredericks | Forensic analysis of fibres by vibrational spectroscopy | |
| CN106323937B (en) | A kind of the Pubei oilfield spectrum structure and discrimination method of high sense | |
| Palmer | Identification and Comparsion | |
| Kokot et al. | An exploratory study of mercerized cotton fabrics by DRIFT spectroscopy and chemometrics | |
| CN108414472A (en) | The near-infrared spectrum method of pure wool product identification | |
| Palenik | Microscopic examination of fibres | |
| Joshi et al. | Effect of illumination systems on statistical texture parameters based clustering and discrimination of machined surfaces using machine vision | |
| CN108802003B (en) | Method for rapidly and nondestructively identifying silk product and content | |
| Gouda et al. | Investigation and Analysis of Ancient Dyed Textiles | |
| Shaid et al. | Identification of Australian merino wool |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171110 |