Quick screening method for identifying consistency of lipstick cosmetics based on portable infrared spectrum

Abstract

The invention discloses a rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy. The method comprises the following steps: 1, establishing an infrared spectrum lipstick product identification method: selecting an infrared spectrum as an analysis means, and carrying out comprehensive statistical analysis on a fingerprint spectrum and a characteristic spectrum; step 2, establishing a model database of cosmetic standard samples; establishing a model by adopting a partial least square method and establishing the model by adopting an infrared absorption spectrum difference generated by molecular vibration; and step 3, analyzing the similarity of the sample to be detected and the standard spectrogram. According to the lipstick identification method, method development is carried out on lipstick products in a mode of establishing the model library, the identification accuracy is greatly improved, and losses caused by misjudgment are avoided.

Description

Technical Field

[0001] The invention relates to the field of infrared detection, in particular to a rapid screening method for identifying the consistency of lipstick cosmetics based on a portable infrared spectrum and a portable infrared identification device. Background Art

[0002] With the rapid development of the beauty industry and the improvement of the manufacturing level, the authenticity of products has become the most concerned issue in the cosmetics industry. The "Regulations on the Supervision and Administration of Cosmetics" issued by my country highlights the supervision of e-commerce platforms and other business links. Problems such as passing off fake products as genuine ones and selling inferior products as good ones have become the focus of government market supervision. Infrared spectroscopy technology has not been well applied in the quality consistency identification of cosmetics. Many categories, such as lipstick, do not have a suitable quality identification method. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a fast screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy, which is easy to operate. The present invention takes lipstick, which is of high concern among cosmetics, as the research object and develops a fast identification method for lipstick products.

[0004] The present invention uses infrared spectroscopy to analyze the differences in the formulations of cosmetics of different brands and series of lipsticks according to different dosage forms at 4000-650cm -1 Through the scanning analysis, a standard product consistency evaluation model library is established through statistical algorithms. By using the data of the standard product model library, the consistency identification results of the samples to be tested can be obtained by quickly scanning unknown samples and matching the data with the standard product model library. This method is fast and accurate. It solves the problem that there are many categories of cosmetics but no targeted identification methods, and greatly improves the accuracy of identification.

[0005] In combination with the above method, the present invention also designs a portable infrared spectroscopy device, which solves the current identification drawbacks such as high requirements for detection scenarios and long transportation cycles. The flexible application of the device scene can effectively check the entry and exit of goods on the sales platform, and also provide a certain technical basis for supervision and law enforcement.

[0006] A rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy, comprising the following steps;

[0007] Step 1: Establish an infrared spectrum identification method for lipstick products: select infrared spectrum as the analysis method, and conduct comprehensive statistical analysis on fingerprint spectrum and characteristic spectrum;

[0008] Step 2: Establish a model database of cosmetic standard samples; use partial least squares method to establish the model based on the infrared absorption spectrum difference generated by the model and molecular vibration;

[0009] Step 3: Analyze the similarity between the sample to be tested and the standard spectrum.

[0010] The rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy of the present invention, wherein step one comprises the following steps:

[0011] (1) Select products from different brands and series under different cosmetics groups and conduct formula differentiation analysis on the samples, including sample texture and the type and content of colorants;

[0012] (2) Setting acquisition conditions: A portable infrared identification device was used for test measurement. First, the relevant acquisition conditions were set in the OMNIC software: the scanning wave number range of the spectrum was 4000-650 cm -1 , resolution 4cm -1 , the number of scans for the sample and the background is 32 times; first, measure the air background, wipe the sample stage with ethanol, after the background test is completed, take a certain amount of sample with a medicine spoon and place it on the sample stage to ensure that the cream sample evenly covers the sample stage, after the sample test is completed, wipe the sample stage with a non-woven cloth first, and then wipe the sample stage with ethanol;

[0013] (3) Identification: In infrared spectrum analysis, the characteristic area is divided into characteristic area and fingerprint area. The characteristic area is modeled by the statistical spectrum function of OMNIC software, and the fingerprint area is modeled by collecting and analyzing the absorption peak data. The identification result is obtained by combining the characteristic area and the fingerprint area.

[0014] The rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy of the present invention, wherein step 2 comprises the following steps:

[0015] The method of step 1 was used to establish a model spectral library of cosmetic standard products. Each sample was sampled 5 times, and spectral data was collected 3 times each time. Considering the external influence of the environment and personnel, a background scan was performed every 1 hour to eliminate interference to the greatest extent.

[0016] The collected infrared spectra of the samples are pre-processed by automatic smoothing, automatic baseline correction, etc. to eliminate the baseline noise caused by the environment or sampling process;

[0017] The collected spectrum group was used to establish a standard model using the statistical spectrum of OMNIC software. The partial least squares method was used to establish the model and the infrared absorption spectrum differences caused by molecular vibration were used to establish the model. Products of different brands and series under different cosmetics groups were selected to establish the model library.

[0018] The rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy of the present invention, wherein step three comprises the following steps:

[0019] The characteristic region has a strong corresponding relationship between the spectrum and the groups. Although the spectrum and the groups cannot be one-to-one corresponding, it can represent the characteristics of the whole molecule. The classical partial least squares method is applicable to the quantitative method of absorbance at multiple characteristic wavelengths. Therefore, this statistical method is used to model and analyze the standard library; a regression model between the spectral data and the variety classification is established by the partial least squares method;

[0020] There are differences in the absorption in the fingerprint region between different molecules. The mid-infrared region of 4000 - 650 cm- 1 is divided into 4 regions for similarity analysis, including the stretching vibration region of X-H bonds, the stretching vibration region of triple bonds and cumulative double bonds, the stretching vibration region of double bonds, and the stretching vibration region of X-Y bonds and the deformation vibration region of X-H bonds. The data of these four regions are modeled and analyzed;

[0021] Infrared comprehensive similarity analysis: By analyzing the mid-infrared spectrum, different weights are assigned to the similarity results of the characteristic region and the fingerprint region, and the comprehensive similarity is calculated by combining and analyzing:

[0022] S = ∑Si * fi

[0023] S: Total similarity;

[0024] Si: The comparison score between the partial least squares method model in the characteristic region and the molecular vibration model in the fingerprint region;

[0025] fi: Contribution weight;

[0026] Weight parameter table

[0027] index Weight Characteristic Region Partial Least Squares Model 0.6 Fingerprint region molecular vibration model 0.4

[0028] The rapid screening method for identifying the consistency of lipstick cosmetics by infrared spectroscopy is used to compare the known negative and positive samples respectively, and finally the product consistency evaluation results are obtained: 0 ≤ S ≤ 0.6, very poor consistency; 0.6 < S ≤ 0.85, general consistency; 0.85 < S ≤ 0.95, relatively high consistency; 0.95 < S ≤ 1.0, very high consistency.

[0029] The rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy described in the present invention, wherein:

[0030] S 特征区 is calculated as follows:

[0031] A regression model between the spectral data and the variety classification is established by the partial least squares method. The spectral matrix X and the spectral concentration matrix Y of the sample are decomposed, and the information contained in the sample is introduced at the same time. After decomposition, m main factors in the sample are extracted, as shown in formula (1):

[0032]

[0033] For and , a linear association is performed, as shown in formula (2):

[0034]

[0035] When performing regression prediction, the score Tx of the unknown sample spectrum matrix is ​​first calculated, and then the component concentration prediction value Yx is obtained according to formula (3), as shown in formula (3):

[0036] Y X =T X BQ (3)

[0037] The final value of Yx is S 特征区 The value of .

[0038] The rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy of the present invention, wherein S 指纹区 The calculation method is as follows:

[0039] The vibration of molecules can be described by Hooke's rule:

[0040]

[0041] In infrared spectroscopy, frequency is often expressed in terms of wavenumbers - the number of vibrations per centimeter. Wavenumber and wavelength are reciprocals of each other.

[0042] σ=1 / λ=v / c

[0043] c is the speed of light;

[0044] If the frequency is expressed in wave numbers, Hooke's rule can be expressed as:

[0045]

[0046] In the formula: k is the force constant of the chemical bond; m is the mass of the bonding atom;

[0047] Finally, the calculated value of σ is S 指纹区 The value of .

[0048] A portable infrared identification device comprises a power supply and a light source connected thereto, an air bearing interferometer, a laser, a detector and an integrated circuit board, wherein an elliptical reflector is arranged on one side of the light source, the air bearing interferometer is arranged at a position close to the elliptical reflector, the air bearing interferometer comprises a KBr beam splitter, a first collimator is arranged obliquely on the right side of the KBr beam splitter, a second collimator is arranged obliquely on the lower part of the first collimator, a sample chamber is arranged on the left side of the second collimator, a sample stage is arranged therein, an ATR pressure tower and an ATR / ZnSe crystal are arranged on the upper and lower parts of the sample stage respectively, a focusing mirror is arranged obliquely on the left side of the sample chamber, the detector and the laser are arranged on the upper part of the focusing mirror, the detector is connected to the integrated circuit board, the integrated circuit board is connected to an external computer, and the laser is connected to the air bearing interferometer.

[0049] The portable infrared identification equipment described in the present invention, wherein the sample stage, the ATR pressure tower and the ATR / ZnSe crystal are covered with a cover, and windows made of transparent material are arranged on the cover between the second collimating lens and the sample stage and between the focusing lens and the sample stage.

[0050] The portable infrared identification equipment described in the present invention further includes a housing and a main switch, one end of the main switch is connected to the power supply, and the other end is respectively connected to the light source, the air bearing interferometer, the laser, the detector and the integrated circuit board; the light source is an EVER-GLO light source, the detector is an MCT / B detector, and the laser is a HeNe laser.

[0051] The portable infrared identification equipment described in the present invention, wherein the positional relationship of each component should meet the following conditions: the elliptical reflector can collect infrared light from the light source and reflect parallel reflected light to the KBr beam splitter of the air bearing interferometer, the infrared light can enter the sample chamber after being reflected by the first collimator and the second collimator, and the infrared light that passes through the sample passes through the sample chamber from the other side and can enter the detector after being reflected by the focusing mirror.

[0052] The rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy of the present invention is different from the prior art in that:

[0053] 1. Cosmetics are formulated around seven systems: emulsification system, efficacy system, thickening system, antioxidant system, antiseptic system, sensory modification system and safety assurance system. There are large differences between different categories of dosage forms, but the current identification method does not analyze the differences in the formula, which reduces the accuracy of identification and easily causes misjudgment. The present invention develops a method for lipstick products by establishing a model library, which greatly improves the accuracy of identification and avoids losses caused by misjudgment.

[0054] 2. At present, the infrared identification method has high requirements on the inspection site, environment and equipment, and can only be carried out in the laboratory. It cannot meet the needs of rapid identification before warehousing or shipment by merchants such as e-commerce platforms. The method of the present invention designs a portable infrared measurement equipment, which is not restricted by the use site, does not require pre-treatment, and can be directly measured on the machine. It is simple to operate, efficient in detection, and flexible in application scenarios, which can meet the regulatory needs of sales platforms and relevant government departments.

[0055] The rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy of the present invention is further described below in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic flow chart of a rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy according to the present invention;

[0057] Figure 2 This is an infrared spectrum of a standard product of a certain brand of flaming blue gold lipstick in an embodiment of the present invention;

[0058] Figure 3 This is an overlapping infrared spectrum of sample No. 1 and a standard product in an embodiment of the present invention;

[0059] Figure 4 This is an overlapping infrared spectrum of sample No. 2 and a standard product in an embodiment of the present invention;

[0060] Figure 5 It is a schematic diagram of the structure of the portable infrared identification device of the present invention. DETAILED DESCRIPTION

[0061] like Figure 1 As shown, the rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy of the present invention comprises the following steps:

[0062] 1. Establish an identification method for lipstick products using infrared spectroscopy

[0063] Lipstick products are a mixture of oils, waxes, skin conditioners, colorants, preservatives and other substances. In order to obtain the most comprehensive information about the product more intuitively and quickly, infrared spectroscopy was selected as the analysis method, and a comprehensive statistical analysis of the fingerprint and characteristic spectra was performed, and method development and optimization were carried out for lipstick ingredients.

[0064] (1) Products from 7 different brands and series under different cosmetics groups were selected, involving a total of 49 samples. First, the samples were analyzed for formula differentiation. The formula of lipstick products contains substances such as oils, waxes, skin conditioners, colorants, preservatives, etc., among which the ingredient with the greatest difference is the colorant. Therefore, the formula differentiation analysis was conducted from two aspects. One is the texture of the samples. Due to the influence of the oil content, lipstick products can be divided into velvet, matte, semi-matte, matte, moisturizing and other types. The other is the difference in the type and content of the colorant. The more common colorants are CI 77491, CI 77499, CI15985, CI 42090, CI 77492, CI 17200, etc. The material structures of these colorants are different and can show different infrared signals.

[0065] (2) Setting acquisition conditions: A portable infrared identification device was used for test measurement. First, the relevant acquisition conditions were set in the OMNIC software: the scanning wave number range of the spectrum was 4000-650 cm -1 , resolution 4cm -1 The number of scans for both the sample and the background is 32. First, measure the air background, wipe the sample stage clean with ethanol, and after the background test is completed, use a medicine spoon to take a certain amount of sample and place it on the sample stage to ensure that the cream sample evenly covers the sample stage. After the sample test is completed, wipe the sample stage with a non-woven cloth first, and then wipe the sample stage with ethanol.

[0066] (3) Identification: In infrared spectrum analysis, the characteristic area and fingerprint area are divided. The characteristic area is modeled by the statistical spectrum function of the OMNIC software, and the fingerprint area is modeled by collecting and statisticizing the absorption peak data. The identification result is obtained by combining the characteristic area and the fingerprint area.

[0067] 2. Establish a model database for standard cosmetic samples.

[0068] (1) According to the above method, a model spectral library of cosmetic standard products was established. There are currently 49 samples, each of which was sampled 5 times, and spectral data was collected 3 times each time. Considering the external influence of the environment and personnel, a background scan was performed every 1 hour to eliminate interference to the greatest extent.

[0069] (2) The collected infrared spectra of the samples are preprocessed by automatic smoothing, automatic baseline correction, etc. to eliminate the baseline noise caused by the environment or sampling process.

[0070] (3) The standard model was established using the statistical spectrum of the OMNIC software using the above-collected spectrum group. The partial least squares method was used to establish the model and the infrared absorption spectrum differences caused by molecular vibration were used to establish the model. Products of different brands and series under different cosmetics groups were selected to establish the model library.

[0071] 3. Similarity analysis between the sample to be tested and the standard spectrum

[0072] (1) The characteristic region is where the correspondence between the spectrum and the group is very strong. The spectrum and the group cannot correspond one to one, but they can represent the characteristics of the entire molecule. The classical partial least squares method is suitable for the quantitative method of absorbance at multiple characteristic wavelengths, so this statistical method is used to model and analyze the standard library.

[0073] (2) The regression model between spectral data and variety classification is established by partial least squares method. The spectral matrix X and spectral concentration matrix Y of the sample are decomposed and the information contained in the sample is introduced. After decomposition, m main factors in the sample are extracted, as shown in formula (1):

[0074]

[0075] For and , a linear association is performed, as shown in formula (2):

[0076]

[0077] When performing regression prediction, the score Tx of the unknown sample spectrum matrix is ​​first calculated, and then the component concentration prediction value Yx is obtained according to formula (3), as shown in formula (3):

[0078] Y X =T X BQ (3)

[0079] The final value of Yx is S 特征区 The value of .

[0080] (3) There are differences in the absorption of fingerprint regions between different molecules, and the representation is relatively dense and the difference is small, similar to human fingerprints, so it is called fingerprint region, which can be used to identify whether two compounds are the same. -1 The mid-infrared region is divided into four regions for similarity analysis. The data of the four regions are modeled and analyzed:

[0081] ①X-H bond stretching vibration region (4000-2500cm -1 )

[0082] This area mainly focuses on the stretching vibration frequency of OH and NH, which is an important basis for judging alcohols, phenols, and acids. As well as the stretching vibration frequency of CH, similarity analysis can be performed on saturated and unsaturated compounds.

[0083] ②Triple bond and cumulative double bond stretching vibration region (2500-1900cm -1 )

[0084] This region mainly includes stretching vibrations of alkynyl -CH≡C-, nitrile -C≡N, allenyl -C=C=C-, enone -C=C=O, isocyanate -N=C=O, etc. Similarity analysis can be performed on aliphatic and aromatic groups.

[0085] ③Double bond stretching vibration region (1900-1200cm -1 )

[0086] This region mainly includes the stretching vibration of bonds such as C=C, C=O, -NO2, S=O, P=O and the skeleton vibration of aromatic rings, etc., and performs similarity analysis on carbonyl compounds.

[0087] ④ X-Y bond stretching vibration and XH bond deformation vibration region (1650-650cm -1 )

[0088] This area mainly includes stretching vibrations of CO, Si-O, CC, CN, C-halogen, etc. and deformation vibrations of CH, NH, OH, etc. Similarity analysis is performed on alcohols, ethers, esters, etc., and this area can reflect the length of the compound chain to a certain extent.

[0089] The vibration of molecules can be described by Hooke's rule:

[0090]

[0091] In infrared spectroscopy, frequency is often expressed in terms of wavenumbers - the number of vibrations per centimeter. Wavenumber and wavelength are reciprocals of each other.

[0092] σ=1 / λ=v / c

[0093] c is the speed of light.

[0094] If the frequency is expressed in wave numbers, Hooke's rule can be expressed as

[0095]

[0096] In the formula: k is the force constant of chemical bond; m is the mass of bonding atoms.

[0097] Finally, the calculated value of σ is S 指纹区 The value of .

[0098] 4. Infrared comprehensive similarity analysis

[0099] By analyzing the mid-infrared spectrum, different weights are assigned to the similarity results of the feature area and the fingerprint area, and the combined analysis is used to calculate the comprehensive similarity:

[0100] S=∑Si*fi

[0101] S: total similarity;

[0102] Si: Comparison score of partial least squares model in feature area and molecular vibration model in fingerprint area;

[0103] fi: contribution weight;

[0104] Weight parameter table

[0105] index Weight Characteristic Region Partial Least Squares Model 0.6 Fingerprint region molecular vibration model 0.4

[0106] A rapid screening method for identifying the consistency of lipstick cosmetics using infrared spectroscopy was used to compare known negative and positive samples, and finally the consistency evaluation results were obtained.

[0107] Analysis and evaluation form

[0108] Similarity 0≤S≤0.6 0.6<S≤0.85 0.85<S≤0.95 0.95<S≤1.0 Product consistency Poor consistency Average consistency High consistency High consistency

[0109] Example 2

[0110] Identification analysis of samples to be tested

[0111] Taking the flaming blue gold lipstick of a certain brand as a reference, two samples of "flaming blue gold lipstick of a certain brand" were purchased from other procurement channels for infrared collection. Figure 2 This is the infrared spectrum of the standard product of a certain brand of Flame Blue Gold Lipstick. Figure 3 This is the overlapping infrared spectrum of sample No. 1 and the standard. Figure 4 This is the overlapping infrared spectrum of sample No. 2 and the standard. After similarity analysis of the mid-infrared region, the total similarity of sample No. 1 is 0.87, which is highly consistent with the flaming blue gold lipstick of a certain brand. The total similarity of sample No. 2 is 0.47, which is very inconsistent with the flaming blue gold lipstick of a certain brand.

[0112] Example 3

[0113] Based on the requirements of the method and application scenarios of the present invention, combined with the identification logic, a portable infrared detection device is developed. The device can be carried around and can enter the warehouse to complete the rapid identification and detection of warehousing or outbound, which greatly improves the identification efficiency.

[0114] like Figure 5As shown, a portable infrared identification device includes a power supply and a light source 1 (EVER-GLO light source) connected thereto, an air bearing interferometer 3, a laser 11 (HeNe laser), a detector 10 (MCT / B detector) and an integrated circuit board 13.

[0115] An elliptical reflector 2 is arranged on one side of the light source 1, and an air bearing interferometer 3 is arranged at a position close to the elliptical reflector 2. The air bearing interferometer 3 includes a KBr beam splitter 12. The function of the elliptical reflector 2 is to collect the infrared light emitted by the light source 1 and reflect it into the KBr beam splitter 12 of the air bearing interferometer 3. The position of the air bearing interferometer 3 should satisfy that the KBr beam splitter 12 therein can receive the reflected light from the elliptical reflector 2, and the light incident on the KBr beam splitter 12 is preferably 45°, which has the best effect.

[0116] The function of the air bearing interferometer 3 is as follows: The air bearing interferometer 3 consists of a beam splitter, a fixed mirror, and a moving mirror. The surfaces of the fixed mirror and the moving mirror are both aluminum-plated or gold-plated plane mirrors. There are three fine-tuning screws on the back of the fixed mirror to adjust the position of the fixed mirror so that the fixed mirror plane and the moving mirror plane remain in a strictly vertical state. The moving mirror is fixed on the air bearing bracket. When pure gas with a certain pressure is passed into the air bearing, the bearing is in a suspended state. Under electromagnetic drive, the moving mirror moves smoothly and frictionlessly on the air bearing and can remain perpendicular to the fixed mirror during the movement.

[0117] The function of the KBr beam splitter 12 is to split the light into two beams, one of which is incident on the beam splitter at a 45° incident angle (other angles are also possible, but 45° is the best), one part of which passes through the beam splitter and is directed to the moving mirror, and the other part of the beam is reflected on the surface of the beam splitter and is directed to the fixed mirror. The light beams directed to the moving mirror and the fixed mirror are then reflected back, transmitted and reflected on the interface of the beam splitter, and form a beam of interference light.

[0118] A first collimator 4 is tilted on one side of the KBr beam splitter 12, and a second collimator 5 is tilted at the bottom of the first collimator 4. The upper end of the first collimator 4 is tilted toward the direction close to the KBr beam splitter 12, and the tilt angle of the first collimator 4 should meet the following conditions: it can receive light from the KBr beam splitter 12 and reflect it to the second collimator 5. The lower end of the second collimator 5 is tilted toward the direction close to the sample chamber, and the tilt angle of the second collimator 5 should meet the following conditions: it can receive light from the first collimator 4 and reflect it to the sample chamber. The first collimator and the second collimator are made of quartz.

[0119] A sample chamber is provided near the second collimating lens 5, in which a sample stage 6 is provided, and an ATR pressure tower 8 and an ATR / ZnSe crystal 7 are provided above and below the sample stage 6, respectively;

[0120] The function of the ATR pressure tower 8 is to apply a certain pressure to the sample so that the sample and the ATR / ZnSe crystal 7 are more closely combined.

[0121] The function of the ATR / ZnSe crystal 7 is to focus the infrared light onto the surface of the ATR crystal and then incident on the sample. Since the refractive index of the ATR crystal is greater than that of the sample and the incident angle is greater than the critical angle, the infrared light can penetrate the sample surface and return to the crystal while total reflection occurs at the sample-crystal interface.

[0122] The sample chamber is covered with a cover, and transparent windows are arranged on the cover between the second collimator 5 and the sample stage 6 and between the focusing lens 9 and the sample stage 6, so that the infrared light from the second collimator 5 can enter through the window, pass through the ATR / ZnSe crystal 7 and the sample, and then be reflected to the window on the other side and projected toward the focusing lens 9. The window is made of quartz.

[0123] A focusing mirror 9 is tilted on one side of the sample chamber, and the lower end of the focusing mirror 9 is tilted toward the sample chamber. The focusing mirror 9 has a focusing effect, and the position relationship should satisfy that the focusing mirror 9 can receive infrared light from the sample chamber and focus it to the detector 10.

[0124] The second collimating mirror 5 and the focusing mirror 9 are respectively located on both sides of the sample chamber. A detector 10 and a laser 11 are arranged on the upper part of the focusing mirror 9. The detector 10 is connected to the integrated circuit board 13, the integrated circuit board 13 is connected to the external working computer, and the laser 11 is connected to the air bearing interferometer 3.

[0125] The function of the detector 10 is to detect the signal in the infrared light from the focusing lens 9 and transmit it to the integrated circuit board 13;

[0126] The function of the integrated circuit board 13 is to collect signals and transmit them to an external working computer.

[0127] The function of the laser 11 is to control the moving position of the moving mirror and ensure the accuracy of the wavelength.

[0128] The portable infrared identification equipment also includes a shell and a main switch arranged on the outside thereof, one end of the main switch is connected to a power source, and the other end is respectively connected to a light source 1, an air bearing interferometer 3, a laser 11, a detector 10 and an integrated circuit board 13; the shell is used to wrap all components except the power source, the computer and the main switch to play a protective role.

[0129] The method of using the portable infrared identification device of the present invention is as follows: connect the power plug, turn on the power of the portable infrared identification device, turn on the computer, wait for the hardware initialization of the portable infrared identification device to be completed, open the OMNIC software, remove all accessories and samples, use the transmission accessory, DIGS (room temperature) detector, confirm that the interference pattern is normal and check the instrument energy. Click "Collection" - "Experimental Settings" - "Optical Table" to check.

[0130] First, set the relevant acquisition conditions in the OMNIC software in the external working computer: the scanning wave number range of the spectrum is 4000~650cm -1 , resolution 4cm -1 , the number of scans for both the sample and the background was 32 times.

[0131] First, measure the air background and wipe the sample table clean with ethanol. After the background test is completed, use a medicine spoon to take a certain amount of sample and place it on the sample table to ensure that the cream sample evenly covers the sample table.

[0132] Move the ATR pressure tower 8 to make the sample stage in close contact with the ATR / ZnSe crystal 7, click "Collect Sample" in the software, the equipment starts working, the light source 1 emits infrared light, the elliptical reflector 2 collects the infrared light from the light source 1, and reflects the parallel reflected light to the KBr beam splitter 12 of the air bearing interferometer 3, the infrared light from the KBr beam splitter 12 is reflected by the first collimator 4 and the second collimator 5 in turn, and then enters the sample chamber through the window of the cover, the infrared light passing through the sample passes through the window on the other side, leaves the sample chamber, and enters the detector 10 after being reflected by the focusing mirror 9, the detector 10 captures the signal in the infrared light and transmits it to the integrated circuit board 13, the integrated circuit board 13 collects the signal and transmits it to the external working computer, and the external working computer processes the data. After the sample test is completed, wipe the sample stage with a non-woven cloth first, and then wipe the sample stage with ethanol.

[0133] Since the current technology has high requirements for personnel and venues, there is no widely used method for rapid screening of cosmetics quality consistency. This study uses a rapid screening method based on portable infrared spectroscopy to identify the consistency of lipstick cosmetics, which can greatly improve the identification efficiency and effectively solve the scene and cycle problems of warehouse identification. It is conducive to improving the quality of cosmetic products, eliminating counterfeit and shoddy products, safeguarding consumer rights and interests and a healthy competitive environment in the cosmetics industry, and can provide good technical support for supply chains, sales platforms and relevant government departments.

[0134] The embodiments described above are merely descriptions of preferred implementation modes of the present invention and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all fall within the protection scope determined by the claims of the present invention.

Claims

1. A rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy, characterized in that: It includes the following steps; Step 1: Establish a discrimination method for infrared spectroscopic lipstick products: Select infrared spectroscopy as the analysis means and conduct comprehensive statistical analysis on the fingerprint spectrum and characteristic spectrum; Step 2: Establish a model database of cosmetic standard samples; Use the partial least squares method to establish models for the differences in the infrared absorption spectra generated by the models and molecular vibrations; Step 3: Similarity analysis between the sample to be tested and the standard spectrum.

2. The rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy according to claim 1, characterized in that: Step 1 includes the following steps: (1) Select products of different brands and different series under different cosmetic groups, and conduct formula differentiation analysis on the samples, including two aspects: the texture of the samples and the types and contents of colorants; (2) Setting acquisition conditions: A portable infrared identification device was used for test measurement. First, the relevant acquisition conditions were set in the OMNIC software: the scanning wave number range of the spectrum was 4000-650 cm -1 , resolution 4cm -1 , the number of scans for the sample and the background is 32 times; first, measure the air background, wipe the sample stage with ethanol, after the background test is completed, take a certain amount of sample with a medicine spoon and place it on the sample stage to ensure that the cream sample evenly covers the sample stage, after the sample test is completed, wipe the sample stage with a non-woven cloth first, and then wipe the sample stage with ethanol; (3) Discrimination: In the infrared spectrum analysis, divide it into the characteristic region and the fingerprint region. In the characteristic region, establish a standard model through the statistical spectrum function of the OMNIC software, and in the fingerprint region, establish a model through the data acquisition and statistics of the absorption peaks. Through the combined analysis of the characteristic region and the fingerprint region, obtain the discrimination result.

3. The rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy according to claim 2, characterized in that: Step 2 includes the following steps: Adopt the method of Step 1 to establish a model spectrum library of cosmetic standard products. Each sample is sampled 5 times, and 3 spectral data are collected each time; and considering the external influences brought by the environment and personnel, conduct a background scan every 1 hour to exclude interference to the greatest extent; Perform preprocessing such as automatic smoothing and automatic baseline correction on the collected infrared spectra of the samples to eliminate the baseline noise brought during processes such as the environment or sampling; Apply the collected spectrum group to establish a standard model using the statistical spectrum of the OMNIC software, use the partial least squares method to establish models for the differences in the infrared absorption spectra generated by the models and molecular vibrations, and select products of different brands and different series under different cosmetic groups to establish the model library.

4. The rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy according to claim 3 is characterized in that: Step 3 includes the following steps: In the characteristic region, the corresponding relationship between the spectrum and the group is very strong. Although the spectrum and the group cannot be one-to-one corresponding, it can represent the characteristics of the whole molecule. The classical partial least squares method is applicable to the multi-characteristic wavelength absorbance quantitative method. Therefore, adopt this statistical method to build a model for analysis of the standard library; establish a regression model between the spectral data and the variety classification through the partial least squares method; There are differences in the absorption of fingerprint regions between different molecules. 1 The mid-infrared region is divided into four regions for similarity analysis, including the XH bond stretching vibration region, the triple bond and cumulative double bond stretching vibration region, the double bond stretching vibration region, and the XY bond stretching vibration and XH bond deformation vibration region, and the data of these four regions are modeled and analyzed; Infrared comprehensive similarity analysis: Through the analysis of the mid-infrared spectrum, assign different weights to the similarity results of the characteristic region and the fingerprint region, and conduct combined analysis for comprehensive similarity calculation: S = ∑Si * fi S: Total similarity; Si: Comparison score of the partial least squares method model in the characteristic region and the molecular vibration model in the fingerprint region; fi: Contribution weight; Weight parameter table Apply the rapid screening method for identifying the consistency of lipstick cosmetics by infrared spectroscopy to compare known negative and positive samples respectively, and finally obtain the product consistency evaluation result: 0 ≤ S ≤ 0.6, very poor consistency; 0.6 < S ≤ 0.85, general consistency; 0.85 < S ≤ 0.95, relatively high consistency; 0.95 < S ≤ 1.0, very high consistency.

5. The rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy according to claim 4, characterized in that: S 特征区 The calculation method is as follows: The regression model between spectral data and variety classification is established by partial least squares method. The spectral matrix X and spectral concentration matrix Y of the sample are decomposed and the information contained in the sample is introduced. After decomposition, m main factors in the sample are extracted, as shown in formula (1): For and , a linear association is performed, as shown in formula (2): When performing regression prediction, the score Tx of the unknown sample spectrum matrix is ​​first calculated, and then the component concentration prediction value Yx is obtained according to formula (3), as shown in formula (3): Y X =T X BQ (3) The final value of Yx is S 特征区 The value of .

6. The rapid screening method for identifying the consistency of lipstick cosmetics based on portable infrared spectroscopy according to claim 5, characterized in that: S 指纹区 The calculation method is as follows: The vibration of molecules can be described by Hooke's rule: In infrared spectroscopy, frequency is often expressed in terms of wavenumbers - the number of vibrations per centimeter. Wavenumber and wavelength are reciprocals of each other. σ=1 / λ=v / c c is the speed of light; If the frequency is expressed in wave numbers, Hooke's rule can be expressed as: In the formula: k is the force constant of the chemical bond; m is the mass of the bonding atom; Finally, the calculated value of σ is S 指纹区 The value of .

7. A portable infrared identification device, characterized in that: The invention comprises a power supply and a light source (1) connected thereto, an air bearing interferometer (3), a laser (11), a detector (10) and an integrated circuit board (13); an elliptical reflector (2) is arranged on one side of the light source (1); the air bearing interferometer (3) is arranged at a position close to the elliptical reflector (2); the air bearing interferometer (3) comprises a KBr beam splitter (12); a first collimator (4) is arranged obliquely on one side of the KBr beam splitter (12); a second collimator (5) is arranged obliquely at the lower part of the first collimator (4); and a sample chamber is arranged at a position close to the second collimator (5). A sample stage (6) is arranged therein, an ATR pressure tower (8) and an ATR / ZnSe crystal (7) are arranged at the upper and lower parts of the sample stage (6), respectively, a focusing mirror (9) is arranged obliquely on one side of the sample chamber, the second collimating mirror (5) and the focusing mirror (9) are respectively located on the two sides of the sample chamber, the detector (10) and the laser (11) are arranged on the upper part of the focusing mirror (9), the detector (10) is connected to the integrated circuit board (13), the integrated circuit board (13) is connected to an external computer, and the laser (11) is connected to the air bearing interferometer (3).

8. The portable infrared identification device according to claim 7, characterized in that: The sample chamber is covered by a cover, and transparent windows are arranged on the cover between the second collimating lens (5) and the sample stage (6) and between the focusing lens (9) and the sample stage (6).

9. The portable infrared identification device according to claim 7, characterized in that: The portable infrared identification device also includes a housing and a main switch, one end of the main switch is connected to the power supply, and the other end is respectively connected to the light source (1), the air bearing interferometer (3), the laser (11), the detector (10) and the integrated circuit board (13); The light source (1) is an EVER-GLO light source, the detector (10) is an MCT / B detector, and the laser (11) is a HeNe laser.

10. The portable infrared identification device according to claim 9, characterized in that: The positional relationship between the various components should satisfy the following conditions: the elliptical reflector (2) can collect infrared light from the light source (1) and reflect parallel reflected light to the KBr beam splitter (12) of the air bearing interferometer (3); the infrared light can enter the sample chamber after being reflected by the first collimator (4) and the second collimator (5); the infrared light that passes through the sample passes through the sample chamber from the other side and can enter the detector (10) after being reflected by the focusing mirror (9).

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