CN111337448B - Method for identifying cosmetics based on infrared spectrum technology - Google Patents
Method for identifying cosmetics based on infrared spectrum technology Download PDFInfo
- Publication number
- CN111337448B CN111337448B CN202010223243.7A CN202010223243A CN111337448B CN 111337448 B CN111337448 B CN 111337448B CN 202010223243 A CN202010223243 A CN 202010223243A CN 111337448 B CN111337448 B CN 111337448B
- Authority
- CN
- China
- Prior art keywords
- cosmetics
- detected
- infrared
- cosmetic
- infrared spectrogram
- 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.)
- Active
Links
Images
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
- G01N21/17—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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- 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)
- Spectrometry And Color Measurement (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a method for identifying cosmetics based on infrared spectrum technology, which comprises the following steps: establishing a cosmetic fuchsin external spectrum chart library, wherein the infrared spectrum library comprises reference infrared spectrograms of a plurality of varieties of genuine cosmetics; acquiring an infrared spectrogram of the cosmetic to be detected; identifying a reference infrared spectrogram of the genuine cosmetic corresponding to the cosmetic to be detected from the infrared spectrogram library; and comparing the infrared spectrogram with the reference infrared spectrogram, and judging the quality of the cosmetics to be detected according to the comparison result. The method for identifying cosmetics based on infrared spectrum technology provided by the invention is used for identifying the quality of cosmetics by comparing the infrared spectrum of the cosmetics to be detected with the corresponding reference infrared spectrum of the genuine products. Greatly reduces the time required by identification, has convenient operation and high identification efficiency.
Description
Technical Field
The invention relates to a method for identifying cosmetics based on infrared spectrum technology.
Background
At present, the high-speed development of the cosmetic industry, the cosmetic safety problem attracts more and more attention, and especially the authenticity problem. At present, cosmetic counterfeiting means are continuously updated, authenticity is difficult to distinguish from packaging, texture and smell, and the method for authenticating the authenticity of the cosmetic is few at present, and no related national standard detection method exists. The existing identification methods have long detection period and are complicated, and the authenticity of the cosmetics cannot be identified rapidly. Meanwhile, as a cosmetic manufacturer, a simple method is urgently needed to identify the quality of the produced cosmetics, so that the quality control of the cosmetics of the manufacturer is facilitated.
Disclosure of Invention
The invention provides a method for identifying cosmetics based on infrared spectrum technology, which adopts the following technical scheme:
a method for identifying cosmetics based on infrared spectroscopy technology, comprising the steps of:
establishing a cosmetic fuchsin external spectrum chart library, wherein the infrared spectrum library comprises reference infrared spectrograms of a plurality of varieties of genuine cosmetics;
acquiring an infrared spectrogram of the cosmetic to be detected;
identifying a reference infrared spectrogram of the genuine cosmetic corresponding to the cosmetic to be detected from the infrared spectrogram library;
and comparing the infrared spectrogram with the reference infrared spectrogram, and judging the quality of the cosmetics to be detected according to the comparison result.
Further, the cosmetics to be examined include powdery cosmetics and liquid cosmetics.
Further, the cosmetics to be detected are powdery cosmetics;
the specific steps of acquiring the infrared spectrogram of the cosmetic to be detected are as follows:
adding the cosmetics to be detected into dry KBr powder, and mixing to obtain mixed powder;
fully and uniformly grinding the mixed powder;
compressing the ground mixed powder into transparent flakes through an oil press;
and (5) putting the transparent thin sheet into an infrared spectrometer for measurement to obtain an infrared spectrogram.
Further, the mass ratio of the cosmetic to be tested and KBr powder in the mixed powder is 0.01 to 0.04.
Further, the particle size of the milled mixed powder was 2 microns.
Further, the cosmetics to be detected are liquid cosmetics;
the specific method for acquiring the infrared spectrogram of the cosmetic to be detected comprises the following steps:
wiping the surface of the ZnSe sheet by alcohol;
after the cosmetics are dried, dripping cosmetics to be detected on the surface of the ZnSe sheet by a pipetting gun and uniformly coating the cosmetics;
and (3) putting the ZnSe sheet into an infrared spectrometer for measurement to obtain an infrared spectrogram.
Further, the concentration of alcohol is 95%;
dripping 0.1-1 microliter of cosmetics to be detected into ZnSe tablet.
Further, the specific method for comparing the infrared spectrogram with the reference infrared spectrogram and judging the quality of the cosmetics to be detected according to the comparison result comprises the following steps:
calculating the similarity of the infrared spectrogram and the reference infrared spectrogram;
and judging the quality of the cosmetics to be detected according to the similarity.
Further, the specific method for comparing the infrared spectrogram with the reference infrared spectrogram and judging the quality of the cosmetics to be detected according to the comparison result comprises the following steps:
calculating the similarity of the infrared spectrogram and the reference infrared spectrogram;
setting a key zone;
calculating local similarity of the infrared spectrogram and the reference infrared spectrogram on a key region;
and judging the quality of the cosmetics to be detected according to the similarity and the local similarity.
The method for identifying the cosmetics based on the infrared spectrum technology has the advantage that the quality of the cosmetics is identified by comparing the infrared spectrum of the cosmetics to be detected with the corresponding reference infrared spectrum of the genuine products. Greatly reduces the time required by identification, has convenient operation and high identification efficiency.
The method for identifying the cosmetics based on the infrared spectrum technology has the advantages that when the infrared spectrum technology is compared with the reference infrared spectrum, the overall similarity is calculated, the key interval is set, the similarity of the spectrograms of the key interval is calculated independently, and the accuracy of the cosmetic identification is improved.
Drawings
FIG. 1 is a schematic illustration of a method of identifying cosmetics based on infrared spectroscopy of the present invention;
FIG. 2 is a schematic diagram showing the comparison of infrared spectra of a first cosmetic to be tested and a genuine cosmetic according to the present invention;
FIG. 3 is a schematic diagram showing the comparison of infrared spectra of the cosmetics to be tested II and the genuine cosmetics according to the present invention.
Detailed Description
The invention is described in detail below with reference to the drawings and the specific embodiments.
As shown in fig. 1, the method for identifying cosmetics based on infrared spectrum technology of the present invention comprises the following steps: s1, establishing a cosmetic fuchsin external spectrum chart library, wherein the infrared spectrum chart library comprises reference infrared spectrograms of a plurality of varieties of genuine cosmetics. S2, acquiring an infrared spectrogram of the cosmetic to be detected. And S3, identifying a reference infrared spectrogram of the genuine cosmetic corresponding to the cosmetic to be detected from the infrared spectrogram library. And S4, comparing the infrared spectrogram with the reference infrared spectrogram and judging the quality of the cosmetics to be detected according to the comparison result. According to the steps, the quality of the cosmetics to be detected can be rapidly judged by comparing infrared spectrograms of the cosmetics to be detected and the genuine cosmetics. The above procedure is specifically described below.
And S1, establishing a cosmetic fuchsin external spectrum chart library, wherein the infrared spectrum library comprises reference infrared spectra of a plurality of varieties of genuine cosmetics.
Firstly, collecting infrared spectrograms of a plurality of varieties of genuine cosmetics as reference infrared spectrograms, and storing the reference infrared spectrograms in a database. Cosmetic products currently on the market include powdered cosmetics such as foundations, and liquid cosmetics such as moisturizing water and the like.
For powdery cosmetics, the infrared spectrogram collecting step comprises the following steps: and adding the genuine cosmetics into the dried KBr powder, and mixing to obtain mixed powder. The mass ratio of the genuine cosmetic to KBr powder is 0.01 to 0.04. In the present invention, 2mg of genuine cosmetics and 50mg of KBr powder were taken. And fully and uniformly grinding the mixed powder. The particle size of the ground mixed powder is controlled to be 1-3 microns. In the present invention, the particle size of the milled mixed powder was 2. Mu.m. The ground mixed powder is compressed into transparent flakes by an oil press. Specifically, the ground mixed powder is placed in a die, and an oil press is controlled to be used for 5 x 10 7 Pa to 10 8 The pressure Pa presses it into a transparent sheet. And finally, putting the transparent thin sheet into an infrared spectrometer for measurement to obtain an infrared spectrum.
For liquid cosmetics, the steps of collecting infrared spectrograms are as follows: the surface of the ZnSe sheet was wiped with alcohol. Alcohol with concentration of 95% is selected. And after the ZnSe sheet is dried, dripping the genuine cosmetics on the surface of the ZnSe sheet by using a pipetting gun and uniformly coating the ZnSe sheet. Specifically, 0.1 to 1. Mu.l of a genuine cosmetic is dropped into the ZnSe sheet. In the present invention, the volume of the genuine cosmetic added dropwise was 1. Mu.l. Finally, the ZnSe sheet is put into an infrared spectrometer for measurement to obtain an infrared spectrogram.
And for the step S2, obtaining an infrared spectrogram of the genuine cosmetic.
The infrared spectrogram of the cosmetic to be detected is obtained by the method described in step S1. Preferably, the step of collecting cosmetics to be inspected is exactly the same as the step of collecting genuine cosmetics.
Therefore, in the invention, when the cosmetic to be detected is a powdery cosmetic, the steps of collecting the infrared spectrogram are as follows: 2mg of the cosmetic to be tested was taken and added to 50mg of the dry KBr powder and mixed to obtain a mixed powder. The mixed powder was sufficiently ground to a particle size of 2 microns. The ground mixed powder is compressed into transparent flakes by an oil press. And finally, putting the transparent thin sheet into an infrared spectrometer for measurement to obtain an infrared spectrum.
When the cosmetic to be detected is a liquid cosmetic, the infrared spectrogram collecting step comprises the following steps: the surface of the ZnSe sheet was wiped with 95% alcohol. After the dried product is dried, 1 microliter of cosmetics to be detected is dripped into the surface of the ZnSe sheet by a pipetting gun and is uniformly smeared. Finally, the ZnSe sheet is put into an infrared spectrometer for measurement to obtain an infrared spectrogram.
And step S3, identifying a reference infrared spectrogram of the genuine cosmetic corresponding to the cosmetic to be detected from the infrared spectrogram library.
The step of finding out the corresponding reference infrared spectrogram of the genuine cosmetic from the infrared spectrogram library can be realized by manual searching or intelligent recognition from a database by a computer.
And S4, comparing the infrared spectrogram with the reference infrared spectrogram and judging the quality of the cosmetics to be detected according to the comparison result.
In this embodiment, determining the quality of the cosmetic refers to determining whether the cosmetic to be inspected is authentic. It can be understood that whether the cosmetic to be detected is a genuine product can be judged by manually comparing the infrared spectrogram with the reference infrared spectrogram according to whether the infrared spectrogram is similar to the reference infrared spectrogram. As shown in fig. 2, which is a comparison diagram of the first cosmetics to be tested and the genuine products, it can be seen from the diagram that the first cosmetics to be tested are substantially similar to the genuine products. As shown in fig. 3, which is a comparison diagram of the second cosmetics to be detected and the genuine products, it can be seen from the diagram that the difference between the patterns of the second cosmetics to be detected and the genuine products is very large, and therefore, the second cosmetics to be detected are counterfeit products.
Besides the judgment by manual comparison, the judgment can also be realized by a computer intelligent analysis method. In this embodiment, the similarity between the infrared spectrogram and the reference infrared spectrogram is calculated by an image processing method. And judging the quality of the cosmetics to be detected according to the calculated similarity. Setting a similarity threshold, and when the calculated similarity is larger than the similarity threshold, considering the cosmetic to be detected as a genuine product, otherwise, judging the cosmetic to be detected as a counterfeit product.
It can be understood that, for cosmetics on the market, the reason for causing the quality difference of the cosmetics is probably only brought by a certain raw material with higher cost, so that manufacturers of counterfeit products strictly configure the proportions of the remaining raw materials according to the proportions of the genuine products in order to cope with detection, only the proportion of the raw material with higher cost is reduced, and since the similarity of the infrared spectrogram calculated by the image processing method and the reference infrared spectrogram is that the two spectrograms are generally compared, on the basis of the high similarity of other components, only the proportion of the raw material with high cost is reduced, and the general trend of the infrared spectrogram and the reference infrared spectrogram of the cosmetics to be detected is approximately similar, so that the counterfeit cosmetics can be identified as genuine after the similarity calculation. In order to avoid this, when the similarity calculation of the infrared spectrogram is performed, the local similarity is obtained by performing the local key section similarity calculation of the infrared spectrogram after the overall similarity calculation is performed. Only if the overall similarity and the local similarity are combined, the cosmetic to be detected is considered as a genuine product. The range setting of the key section depends on the spectrum curve part corresponding to the raw material with high cost in the infrared spectrogram, and the range setting may be one section or a plurality of sections.
It will be appreciated that the method of the present invention can be used to detect the quality of the processed cosmetic in addition to the authenticity of the cosmetic.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be appreciated by persons skilled in the art that the above embodiments are not intended to limit the invention in any way, and that all technical solutions obtained by means of equivalent substitutions or equivalent transformations fall within the scope of the invention.
Claims (3)
1. A method for identifying cosmetics based on infrared spectroscopy, comprising the steps of:
establishing a cosmetic fuchsin external spectrum chart library, wherein the infrared spectrum library comprises reference infrared rays of a plurality of varieties of genuine cosmetics
A spectrogram;
acquiring an infrared spectrogram of the cosmetic to be detected;
identifying a reference infrared spectrogram of a genuine cosmetic corresponding to the cosmetic to be detected from the infrared spectrogram library;
comparing the infrared spectrogram with the reference infrared spectrogram and judging the quality of the cosmetics to be detected according to the comparison result;
the cosmetics to be detected comprise powdery cosmetics and liquid cosmetics;
the cosmetic to be detected is a powdery cosmetic;
the specific steps of acquiring the infrared spectrogram of the cosmetic to be detected are as follows:
adding the cosmetics to be detected into dry KBr powder, and mixing to obtain mixed powder;
fully and uniformly grinding the mixed powder;
compressing the ground mixed powder into transparent flakes through an oil press;
the transparent thin sheet is put into an infrared spectrometer for measurement to obtain an infrared spectrogram;
the mass ratio of the cosmetic to be tested and KBr powder in the mixed powder is 0.01 to 0.04;
the particle size of the ground mixed powder is 2 microns;
the infrared spectrogram and the reference infrared spectrogram are compared, and the cosmetic to be detected is judged according to the comparison result
The specific method of the quality is as follows:
calculating the similarity of the infrared spectrogram and the reference infrared spectrogram; setting a key zone;
the range setting of the key zone depends on the spectrum curve corresponding to the raw material with high cost in the infrared spectrogram
A portion, which is one or more interval sections;
calculating the local similarity of the infrared spectrogram and the reference infrared spectrogram on the key region;
and judging the quality of the cosmetics to be detected according to the similarity and the local similarity.
2. The method for identifying cosmetics based on infrared spectroscopy according to claim 1, wherein,
the cosmetic to be detected is a liquid cosmetic;
the specific method for acquiring the infrared spectrogram of the cosmetics to be detected comprises the following steps:
wiping the surface of the ZnSe sheet by alcohol;
after the cosmetics to be detected are dried, dripping the cosmetics to be detected on the surface of the ZnSe sheet by a liquid transferring gun and uniformly coating the cosmetics to be detected on the surface of the ZnSe sheet;
and (3) putting the ZnSe sheets into an infrared spectrometer for measurement to obtain the infrared spectrogram.
3. The method for identifying cosmetics based on infrared spectroscopy according to claim 2, wherein,
the concentration of the alcohol is 95%;
and dripping 0.1-1 microliter of the cosmetics to be detected into the ZnSe sheet.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010223243.7A CN111337448B (en) | 2020-03-26 | 2020-03-26 | Method for identifying cosmetics based on infrared spectrum technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010223243.7A CN111337448B (en) | 2020-03-26 | 2020-03-26 | Method for identifying cosmetics based on infrared spectrum technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111337448A CN111337448A (en) | 2020-06-26 |
| CN111337448B true CN111337448B (en) | 2023-05-12 |
Family
ID=71186276
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010223243.7A Active CN111337448B (en) | 2020-03-26 | 2020-03-26 | Method for identifying cosmetics based on infrared spectrum technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111337448B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111595815B (en) * | 2020-07-24 | 2020-12-25 | 江西中医药大学 | Method for judging tablet film coating end point and application thereof |
| CN115015307A (en) * | 2022-06-30 | 2022-09-06 | 中检科(北京)化妆品技术有限公司 | A method for rapid screening of cosmetic consistency based on X-ray fluorescence spectroscopy |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101011480A (en) * | 2007-02-13 | 2007-08-08 | 美晨集团股份有限公司 | Method for overall monitoring kidney-tonifying body-strengthening tablet quality |
| CN103018199A (en) * | 2012-12-21 | 2013-04-03 | 天津优标技术检测服务有限公司 | Method for quickly detecting quality of extract of green tea |
| CN103105374A (en) * | 2011-11-15 | 2013-05-15 | 天津天狮生物发展有限公司 | Method for quickly identifying true and false cordyceps mycelia |
| CN103411895A (en) * | 2013-08-23 | 2013-11-27 | 中国检验检疫科学研究院 | Near infrared spectrum identification method of adulteration of pearl powder |
| EP3124955A1 (en) * | 2015-07-31 | 2017-02-01 | Universität Zürich | Rapid differentiation of fresh and frozen/thawed meat samples by ft-ir on liquid meat samples |
| CN106546552A (en) * | 2016-11-24 | 2017-03-29 | 北京康仁堂药业有限公司 | A kind of detection method and device of Chinese medicinal granule specificity |
| CN107064043A (en) * | 2017-04-19 | 2017-08-18 | 东升新材料（山东）有限公司 | A kind of middle infrared spectrum authentication method for mixing pseudo- pearl powder |
| CN107102015A (en) * | 2017-03-20 | 2017-08-29 | 西南民族大学 | The authentication method of paris polyphylla |
| CN107609881A (en) * | 2017-08-31 | 2018-01-19 | 维沃移动通信有限公司 | The authenticity verification method and mobile terminal of a kind of article |
| CN107727601A (en) * | 2017-08-28 | 2018-02-23 | 五邑大学 | A kind of infrared spectrum time method for quick identification of dried orange peel and citrus chachiensis hortorum |
| CN108344710A (en) * | 2017-12-19 | 2018-07-31 | 中设设计集团股份有限公司 | A kind of pitch test for identification method |
| CN108489929A (en) * | 2018-05-09 | 2018-09-04 | 夏永刚 | Ginseng, Radix Notoginseng and the legal base source Panax polysaccharide of three kinds of American Ginseng discrimination method |
| CN110441244A (en) * | 2019-07-26 | 2019-11-12 | 北京建筑大学 | A kind of spectrum segmentation coloring earth recognition methods for taking Absorption Characteristics into account |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2754899B1 (en) * | 1996-10-23 | 1998-11-27 | Elf Antar France | METHOD OF MONITORING AND MONITORING A MANUFACTURING UNIT AND / OR A NEAR INFRARED SPECTROMETER USING A QUALITY CRITERION OF SPECTRUM SETS |
| CN1170135C (en) * | 2002-08-05 | 2004-10-06 | 中国科学院山西煤炭化学研究所 | Enrichment and detection method of aminomercuric chloride in cosmetics |
| JP2009008664A (en) * | 2007-05-25 | 2009-01-15 | Shiseido Co Ltd | Ingredient analysis method |
| CN101852730A (en) * | 2010-03-25 | 2010-10-06 | 丽珠集团利民制药厂 | Infrared spectrum detection method of ginseng and astragalus injection liquid |
| CN102419277B (en) * | 2011-08-16 | 2015-01-28 | 中国检验检疫科学研究院 | Identification detection method of nano titanium dioxide in sun-screening cosmetic |
| CN103323421B (en) * | 2013-07-10 | 2016-12-28 | 中国人民解放军海军后勤技术装备研究所 | Engine lubricating oil Infrared fingerprint spectra discrimination method |
| CN103411915A (en) * | 2013-07-26 | 2013-11-27 | 江西济民可信金水宝制药有限公司 | Infrared spectroscopy identification method of traditional Chinese medicine preparation-Jinshuibao capsule |
| JP2015059775A (en) * | 2013-09-17 | 2015-03-30 | ポーラ化成工業株式会社 | Evaluation method and production method of emulsion cosmetics |
| CN104345044A (en) * | 2014-10-30 | 2015-02-11 | 广东一方制药有限公司 | Method for rapidly identifying traditional Chinese medicine formula particles employing Fourier transform infrared spectrum |
| US11300503B2 (en) * | 2017-08-30 | 2022-04-12 | Mls Acq, Inc. | Carbon ladder calibration |
| CN108398399A (en) * | 2018-03-01 | 2018-08-14 | 山西省交通科学研究院 | The method for identifying asphalt quality using decaying In situ ATR-FTIR standard spectrogram |
-
2020
- 2020-03-26 CN CN202010223243.7A patent/CN111337448B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101011480A (en) * | 2007-02-13 | 2007-08-08 | 美晨集团股份有限公司 | Method for overall monitoring kidney-tonifying body-strengthening tablet quality |
| CN103105374A (en) * | 2011-11-15 | 2013-05-15 | 天津天狮生物发展有限公司 | Method for quickly identifying true and false cordyceps mycelia |
| CN103018199A (en) * | 2012-12-21 | 2013-04-03 | 天津优标技术检测服务有限公司 | Method for quickly detecting quality of extract of green tea |
| CN103411895A (en) * | 2013-08-23 | 2013-11-27 | 中国检验检疫科学研究院 | Near infrared spectrum identification method of adulteration of pearl powder |
| EP3124955A1 (en) * | 2015-07-31 | 2017-02-01 | Universität Zürich | Rapid differentiation of fresh and frozen/thawed meat samples by ft-ir on liquid meat samples |
| CN106546552A (en) * | 2016-11-24 | 2017-03-29 | 北京康仁堂药业有限公司 | A kind of detection method and device of Chinese medicinal granule specificity |
| CN107102015A (en) * | 2017-03-20 | 2017-08-29 | 西南民族大学 | The authentication method of paris polyphylla |
| CN107064043A (en) * | 2017-04-19 | 2017-08-18 | 东升新材料（山东）有限公司 | A kind of middle infrared spectrum authentication method for mixing pseudo- pearl powder |
| CN107727601A (en) * | 2017-08-28 | 2018-02-23 | 五邑大学 | A kind of infrared spectrum time method for quick identification of dried orange peel and citrus chachiensis hortorum |
| CN107609881A (en) * | 2017-08-31 | 2018-01-19 | 维沃移动通信有限公司 | The authenticity verification method and mobile terminal of a kind of article |
| CN108344710A (en) * | 2017-12-19 | 2018-07-31 | 中设设计集团股份有限公司 | A kind of pitch test for identification method |
| CN108489929A (en) * | 2018-05-09 | 2018-09-04 | 夏永刚 | Ginseng, Radix Notoginseng and the legal base source Panax polysaccharide of three kinds of American Ginseng discrimination method |
| CN110441244A (en) * | 2019-07-26 | 2019-11-12 | 北京建筑大学 | A kind of spectrum segmentation coloring earth recognition methods for taking Absorption Characteristics into account |
Non-Patent Citations (8)
| Title |
|---|
| 刘元瑞;葛海生;赵康虎;孙素琴.傅里叶红外光谱法鉴别巴戟天及其伪品的研究.药物分析杂志.2011,(第12期),全文. * |
| 刘超，何学民.ATR－FTIR光谱仪在焗油类产品成份分析中的应用.日用化学工业.1996,(第02期),全文. * |
| 孙婷;穆同娜;于晓瑾;杨红梅;赵丽;吴燕涛.红外光谱法在防晒化妆品鉴别研究中的应用.日用化学工业.2015,(第04期),全文. * |
| 孙素琴.食品与中药的(中)红外光谱快速检测技术.现代科学仪器.2013,(第04期),全文. * |
| 宋爱华;王婧波;杨婷婷;孙国祥.红外光谱指纹定量法鉴别柴胡质量.中南药学.2013,(第10期),全文. * |
| 王勇;韩墨;葛尔宁;马强;周大兴.珍珠粉的X-射线衍射Fourier指纹图谱分析.中国实验方剂学杂志.2011,(第20期),全文. * |
| 程斯瀚;邵波.不同产地的迷迭香红外指纹图谱研究.煤炭与化工.2020,(第02期),全文. * |
| 蒋瑾华;陈胜;谢钧宪;.化妆品中10种有害香料化合物的GC-FTIR联用分析方法研究.中国卫生检验杂志.2005,(第12期),全文. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111337448A (en) | 2020-06-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zheng et al. | A discrimination model in waste plastics sorting using NIR hyperspectral imaging system | |
| CN111337448B (en) | Method for identifying cosmetics based on infrared spectrum technology | |
| CN102179375B (en) | Nondestructive detecting and screening method based on near-infrared for crop single-grain components | |
| CN1831516A (en) | Non-destructive identification of cigarette varieties and authenticity using visible light and near-infrared spectroscopy | |
| CN104198324B (en) | Computer vision-based method for measuring proportion of cut leaves in cut tobacco | |
| CN104256882B (en) | Based on reconstituted tobacco ratio measuring method in the pipe tobacco of computer vision | |
| JP2006292745A (en) | Method for identifying drugs by near-ir beam spectroscopic analysis, and equipment for the same | |
| Dutta et al. | A computer vision based technique for identification of acrylamide in potato chips | |
| KR20180024293A (en) | Developement of metabolic biomarkers and discrimination model for determining origin of white rice | |
| CN103105374A (en) | Method for quickly identifying true and false cordyceps mycelia | |
| CN113203701A (en) | Crude oil producing area tracing method and device | |
| CN106442589A (en) | Method for identification of cosmetic quality by energy dispersive X-ray fluorescence spectrum fingerprint recognition technology | |
| CN106018321A (en) | Establishment method for single corn seed protein detection model and application of establishment method | |
| CN111426657B (en) | Identification comparison method of three-dimensional fluorescence spectrogram of soluble organic matter | |
| CN105445222A (en) | Method for recognizing coating by means of near-infrared hyperspectral images | |
| CN111401794A (en) | Feed quality control method based on near infrared spectrum | |
| CN103018199A (en) | Method for quickly detecting quality of extract of green tea | |
| CN112834451B (en) | Sample identification method and device based on infrared spectrum and storage medium | |
| Agustin et al. | Automatic milled rice quality analysis | |
| CN108195793A (en) | The universal model construction method of plant-derived feedstuff amino acid content | |
| CN113030007A (en) | Method for rapidly testing quality stability of tobacco essence based on similarity learning algorithm | |
| CN218121760U (en) | Material quality rapid detection sorting equipment and traditional Chinese medicine material production system | |
| CN111735796B (en) | Method for near-infrared recognition of tablet film coating progress and application thereof | |
| CN104198491B (en) | Determination method of expanded shredded leaf ratio in shredded tobacco based on computer vision | |
| Shan et al. | Discrimination of Chinese patent medicines using near-infrared spectroscopy and principal component accumulation method |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20201224 Address after: Room 1203-3, building 4, Chuangzhi Green Valley Development Center, 788 HONGPU Road, Jianggan District, Hangzhou City, Zhejiang Province Applicant after: HANGZHOU DADDYLAB TECHNOLOGY Co.,Ltd. Address before: Room 1201-2, building 4, Chuangzhi Green Valley Development Center, 788 HONGPU Road, Jianggan District, Hangzhou City, Zhejiang Province Applicant before: Hangzhou dad Standard Technology Group Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: Room 1203-3, Building 4, Chuangzhi Green Valley Development Center, No. 788, Hongpu Road, Shangcheng District, Hangzhou City, Zhejiang Province, 310000 Applicant after: Hangzhou Dad Evaluation Technology Co.,Ltd. Address before: Room 1203-3, building 4, Chuangzhi Green Valley Development Center, 788 HONGPU Road, Jianggan District, Hangzhou City, Zhejiang Province Applicant before: HANGZHOU DADDYLAB TECHNOLOGY Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |