Cosmetic consistency multi-dimensional evaluation method

Abstract

The invention provides a cosmetic consistency multi-dimensional evaluation method, which comprises the following steps that outer package consistency detection is carried out through a cosmetic checking APP, if a to-be-detected cosmetic is judged not to conform to a certified product process, it is indicated that the consistency degree of the to-be-detected cosmetic and a certified cosmetic is low, and subsequent detection is not carried out any more; performing technical index consistency detection on the to-be-detected cosmetics which conform to the certified product process or are not input into the makeup checking APP database; judging the consistency degree of the to-be-detected cosmetics and the corresponding certified cosmetics based on the converted consistency of the obtained technical indexes; compared with an existing cosmetic consistency evaluation method, the multi-dimensional evaluation method for the cosmetic consistency is higher in reliability and practicability and higher in authenticity identification accuracy.

Description

Technical Field

[0001] The present invention belongs to the technical field of cosmetics, and in particular relates to a multi-dimensional evaluation method for cosmetic consistency. Background Art

[0002] Cosmetics have become an indispensable necessity for people. With the rapid development of online e-commerce platforms, there are more and more channels and platforms for purchasing cosmetics. In addition to traditional shopping malls, supermarket counters, and brand flagship stores, there are many other ways. While enjoying the convenience, consumers have to beware of buying fakes. Driven by profit, the phenomenon of cosmetics counterfeiting has been reported frequently, especially high-end products are the hardest hit by counterfeiting, which damages the rights and interests of consumers. At this stage, counterfeit products are fake but not inferior to a certain extent, and it is difficult to distinguish them by testing safety indicators.

[0003] Traditionally, the identification of counterfeit cosmetics is mainly carried out by experienced technicians to compare the outer packaging, QR code and barcode, evaluate the sensory indicators such as color, smell, and properties, and then combine with the brand to survey the sales channels. However, in recent years, the means of cosmetics imitation have been constantly upgraded, and it is becoming increasingly difficult to distinguish the authenticity. Many counterfeits can be indistinguishable from the real ones in terms of packaging and labels, and QR codes and barcodes can also be copied; sensory indicators are greatly affected by the experience of the assessors, and it is difficult for ordinary people to distinguish the subtle differences; surveying sales channels needs to be carried out by the brand. Due to factors such as manpower, willingness, and assessment costs, it is difficult for the brand to respond to all assessment requests in a short period of time. To develop the Chinese cosmetics industry at a high level, it is necessary to pay attention to the problem of counterfeits. Therefore, many distribution companies and institutions have cooperated to carry out research on methods for evaluating the authenticity of cosmetics. However, these judgment methods have not been generally confirmed by the brand, and some products have slightly different formulas in various regions to meet the needs of different national regulations and consumer preferences. E-commerce platforms often sell versions of various regions, which will bring uncertainty to the final result. Therefore, at this stage, the agency mainly conducts consistency testing of cosmetics rather than authenticity assessment, that is, comparing the differences in various indicators of control products and test samples obtained through formal channels, and finally reaching a consistency conclusion, but not making a judgment on the authenticity of the product.

[0004] At present, the infrared spectrum and mass spectrometry total ion chromatogram comparison method often used by inspection agencies mainly depends on the main components in the product matrix. With the increasing number of merchants using consistency testing to distinguish authenticity, some counterfeit product manufacturers will refer to the original product for the formulation of the main raw materials with low prices in the formula in order to deal with the inspection in a targeted manner. Although they cannot obtain the specific formula of the original product, they can infer it through the order of ingredients marked on the label, or they can entrust an organization specializing in formula analysis to understand the approximate composition of the original product, so that the products produced have no major differences from the original product in the overall spectrum (chromatogram or mass spectrum). Although there is a patent that proposes to analyze the similarity of the infrared spectrum region corresponding to the higher-cost raw materials, it is considered to be passed only when the overall and local similarities are met, but for some effective raw materials with an effective concentration of 1% or even less than 0.1%, such as ceramide, sodium hyaluronate, peptides, etc., it is not easy to have a clear reflection on the spectrum when the addition amount is low, and its characteristic spectrum peaks are also easily interfered by the main raw material spectrum. Moreover, the establishment and comparison of fingerprints of total ion chromatograms of mass spectrometry are rather cumbersome, the consistency judgment standards of different institutions vary, and equipment such as rapid evaporation ionization mass spectrometers are not popular enough, and their promotion and applicability need to be improved.

[0005] Cosmetics formulas are complex, and it is difficult to distinguish the authenticity through a single testing method or indicator. Therefore, many institutions use multiple indicators to comprehensively evaluate the consistency between genuine products and samples. For example, the indicators are divided into two categories: packaging sensory and technical indicators. The former includes labels and sensory evaluations by technicians, and the latter includes pH, infrared spectrum matching rate, characteristic parameters (such as preservatives) measured by instruments. The consistency parameters obtained by comparing the various indicators of the sample with the genuine product are calculated by category to obtain the average value of the product consistency parameters of packaging sensory and technical indicators (for example, if the pH, infrared matching rate, and preservative consistency parameters of a sample are 95%, 97%, and 90%, respectively, then the average consistency of its technical indicators is 94%), which are used as the values ​​of the sample on the X and Y axes (see Figure 1 ), the overall consistency of the final samples is shown in the figure (see Figure 1 ), and determine whether the sample falling in a certain position is authentic based on the set threshold, for example, it is stipulated that the X and Y axis values ​​are both above 80% for authentic. This method is an improvement over the method of using one or two indicators as the basis for judgment, but there are still some shortcomings. For example, it is difficult to reflect the consistency of labels and sensory test results in the form of percentages. Different indicators have different characteristics. The same deviation of 2% actually represents different differences between authentic products and samples (refer to standards such as QB / T 2660-2004 "Lotion", relative density deviation of more than 2% is unqualified, and the infrared spectrum matching rate of 98% indicates that the consistency between the two is high), so it is not appropriate to use the same standard (such as 98%) for measurement. Summary of the invention

[0006] In view of the shortcomings of the current cosmetic consistency evaluation methods, the present invention provides a multi-dimensional evaluation method for cosmetic consistency. By measuring multiple parameters and setting appropriate thresholds for each parameter, the cosmetics to be tested are evaluated from multiple dimensions, thereby being able to more comprehensively and accurately evaluate the consistency of the cosmetics.

[0007] In order to achieve the above object, the present invention provides the following technical solutions:

[0008] A multi-dimensional evaluation method for cosmetic consistency comprises the following steps:

[0009] S1. Outer packaging consistency detection: Obtain photos of key parts of the outer packaging of the tested cosmetics and upload them to the Zhuangchacha APP, and use the Zhuangchacha APP to detect the consistency of the outer packaging of the tested cosmetics; if the Zhuangchacha APP determines that the tested cosmetics do not meet the authentic process, it is directly judged that the degree of consistency between the tested cosmetics and its corresponding authentic cosmetics is low, and no subsequent testing is performed; the tested cosmetics that meet the authentic process or are not entered into the Zhuangchacha APP database are recorded as M n , conduct consistency test of technical indicators;

[0010] S2. Technical indicator consistency test: Determine the consistency with M n The consistency evaluation of technical indicators is carried out on multiple technical indicators and each technical indicator is measured separately. Then, the results of each technical indicator are converted for consistency to obtain the converted consistency data of each technical indicator. The conversion formula is:

[0011] X n =(1-ΔA×B)×100%

[0012] Among them, X n is the converted consistency of a certain technical indicator of the tested cosmetics; ΔA is the deviation of the technical indicator of the tested cosmetics; B is the corresponding deviation conversion coefficient of the technical indicator, or

[0013] S3. Consistency judgment: Based on the converted consistency data of various technical indicators obtained in step S2, if the average value of the converted consistency of various technical indicators of the tested cosmetics is not less than 80% and the converted consistency of any technical indicator of the tested cosmetics is not less than 60%, it is judged that the degree of consistency between the tested cosmetics and the corresponding authentic cosmetics is high; otherwise, it is judged that the degree of consistency between the tested cosmetics and the corresponding authentic cosmetics is low.

[0014] Further, in step S2, in step S2, with M nThe multiple technical indicators related to the technical indicator consistency assessment are at least three of the following: color, pH, relative density, preservative ingredients, functional ingredients, and infrared spectrum matching rate.

[0015] By increasing or decreasing the evaluation indicators according to the actual conditions of the cosmetics to be tested, the reliability and practicality of the multi-dimensional evaluation method for cosmetic consistency of the present invention can be further improved.

[0016] Furthermore, in step S2, when the technical indicator is color, ΔA is the color difference ΔE between the tested cosmetics and the corresponding authentic product, and its corresponding high consistency reference threshold is 2, and its low consistency reference threshold is 4.

[0017] Furthermore, in step S2, when the technical indicator is pH, ΔA is the absolute difference between the pH of the tested cosmetic and the pH of the corresponding authentic product, and its corresponding high consistency reference threshold is 0.2, and its low consistency reference threshold is 0.4.

[0018] Furthermore, in step S2, when the technical indicator is relative density, ΔA is the relative difference between the relative density of the cosmetic to be tested and the relative density of the corresponding authentic product, and the corresponding high consistency reference threshold is 1%, and the low consistency reference threshold is 2%.

[0019] Furthermore, in step S2, when the technical indicator is a preservative ingredient or a functional ingredient, ΔA is the relative difference between the content of the preservative ingredient of the cosmetic to be tested and the content of the preservative ingredient of the corresponding authentic product, or the relative difference between the content of the functional ingredient of the cosmetic to be tested and the content of the functional ingredient of the corresponding authentic product, and the corresponding high consistency reference threshold is 20%, and the low consistency reference threshold is 40%.

[0020] Furthermore, in step S2, when the technical indicator is the infrared spectrum matching rate, ΔA=1-the infrared spectrum matching rate between the tested cosmetics and the corresponding authentic product, and the corresponding high consistency reference threshold is 10%, and the low consistency reference threshold is 20%.

[0021] Furthermore, in step S2, the color technical indicators are measured by an instrument capable of measuring L*, a*, and b* value parameters; the L*, a*, and b* differences ΔL*, Δa*, and Δb* between the tested cosmetics and the corresponding genuine cosmetics are measured; wherein L* is the brightness of the color, a* is the red-green color, and b* is the yellow-blue color.

[0022] Furthermore, in step S2, when ΔA ≥ 100%, X n =0.

[0023] Furthermore, in step S3, a radar chart is drawn based on the converted consistency data of various technical indicators obtained in step S2. The radar chart uses the converted consistency of various technical indicators and the average value of the converted consistency of all technical indicators as vertices, which is recorded as a multi-dimensional evaluation chart of the converted consistency of the cosmetic to be tested. The consistency of the cosmetic to be tested is judged by the multi-dimensional evaluation chart of the converted consistency.

[0024] After integrating the results, they are intuitively presented in the form of a radar chart, which can more clearly and accurately reflect the differences between the reference substance and the sample in terms of formulation system and characteristic ingredients.

[0025] Compared with the prior art, the present invention has at least the following beneficial effects:

[0026] The multi-dimensional evaluation method for cosmetic consistency of the present invention not only comprehensively considers the overall quality (color, pH, relative density and spectrum, etc.) and characteristic quality (packaging material process, preservative ingredients and functional ingredients, etc.) of cosmetic products, but also sets appropriate thresholds for various technical indicators of cosmetic products according to the differences in the characteristics of various technical indicators of cosmetics themselves (taking into account that the actual differences between samples and reference products reflected by different indicators are different for the same percentage of deviation), and determines the corresponding deviation conversion coefficient according to the set threshold, and then performs consistency conversion on the measured technical indicators of the cosmetics to be tested to obtain the converted consistency of the various technical indicators of the cosmetics to be tested. The converted consistency of various technical indicators can be used to evaluate the consistency of cosmetics with the same high and low consistency reference thresholds (high 80%, low 60%).

[0027] Compared with the existing cosmetics consistency evaluation method, the cosmetics consistency multi-dimensional evaluation method of the present invention does not simply use the average value of the consistency of one or several technical indicators of the genuine product and the tested cosmetics as the basis for authenticity evaluation, but uses multiple dimensions as the basis for consistency evaluation between the tested cosmetics and the corresponding genuine cosmetics, and adds a conversion coefficient and sets a threshold value. This can avoid the situation where the average of multiple data with large positive and negative deviations is close to 100%; it can also avoid the situation where the average value of the consistency of various indicators that are not converted is not low due to the high consistency of some indicators, thereby causing misjudgment. Various similar cosmetics can be identified more accurately, and the accuracy of cosmetics authenticity identification is improved.

[0028] The multi-dimensional evaluation method for cosmetic consistency of the present invention judges that the degree of consistency between the cosmetic to be tested and its corresponding genuine cosmetic is high when the average value of the consistency of various technical indicators of the cosmetic to be tested after conversion is not less than 80% and the consistency of any technical indicator of the cosmetic to be tested after conversion is not less than 60%; otherwise, the degree of consistency between the cosmetic to be tested and its corresponding genuine cosmetic is low; that is, when the consistency of any technical indicator of the cosmetic to be tested after conversion is less than 60%, the cosmetic to be tested is judged to have low consistency. This judgment method can prevent counterfeit products from simulating genuine formulas, resulting in multiple indicators being similar to genuine products, resulting in a high average value of consistency causing misjudgment (misjudgment of high consistency between counterfeit products and genuine products), thereby improving the accuracy of cosmetic authenticity identification; the threshold selected by the evaluation method of the present invention can also be adjusted according to the specific circumstances of the actual product, and the reliability and practicality are relatively strong; the instruments and equipment used in the method of the present invention are generally equipped in various domestic institutions, which is convenient for large-scale promotion and application. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a consistency parameter diagram that comprehensively evaluates the consistency of cosmetics using multiple indicators.

[0030] Figure 2 This is a multi-dimensional evaluation diagram of consistency before conversion of Example 1.

[0031] Figure 3 This is a multi-dimensional evaluation diagram of consistency after conversion in Example 1.

[0032] Figure 4 This is a multi-dimensional evaluation chart of the consistency of the sunscreen lotion after conversion in Example 2.

[0033] Figure 5 This is a multi-dimensional evaluation diagram of the consistency of the cosmetic powder block after conversion in Example 3.

[0034] Figure 6 This is a multi-dimensional evaluation chart of the consistency of the cream cosmetics after conversion in Example 4.

[0035] Figure 7 This is a multi-dimensional evaluation chart of the consistency of the lotion after conversion in Example 5.

[0036] Figure 8 This is a multi-dimensional evaluation chart of the consistency of the essence in Example 7 after conversion.

[0037] Fig. 9 To adopt Figure 1 The consistency parameter diagram of each cosmetic in Examples 2 to 7 obtained by the method, in which red represents the sunscreen lotion in Example 2, blue represents the cosmetic powder in Example 3, orange represents the cream cosmetic in Example 4, purple represents the lotion in Example 5, and green represents the essence in Example 7. DETAILED DESCRIPTION

[0038] The present invention will be further described below by specific embodiments in conjunction with the accompanying drawings. It should be understood that these embodiments are only used to illustrate the present invention and are not used to limit the scope of the present invention.

[0039] It should be noted that, in the embodiments of the present invention, the cosmetics to be tested are used as samples, and the authentic cosmetics corresponding to the cosmetics to be tested are used as reference products to evaluate the consistency of the cosmetics to be tested.

[0040] Example 1

[0041] The multi-dimensional evaluation method for cosmetic consistency provided in this embodiment includes the following steps:

[0042] S1. Outer packaging consistency detection: Obtain photos of key parts of the outer packaging of the tested cosmetics and upload them to the Zhuangchacha APP, and use the Zhuangchacha APP to detect the consistency of the outer packaging of the tested cosmetics; determine that the tested cosmetics that do not meet the authentic process have a low degree of consistency with their corresponding authentic cosmetics, and no further testing will be performed; the tested cosmetics that meet the authentic process or are not entered into the Zhuangchacha APP database are recorded as M n , conduct consistency test of technical indicators;

[0043] Outer packaging has always been an important basis for determining authenticity, but for a long time it has been difficult to promote due to factors such as the experience of evaluators. The folk counterfeit identification strategy is not scientific enough and has poor versatility. In view of this, the multi-dimensional evaluation method for cosmetics consistency in this embodiment uses the Makeup Check APP to detect the consistency of the outer packaging. Users only need to select the brand and series online, take pictures of product details and upload them to the platform. The platform issues an identification report of "conforming to the genuine process" or "not conforming to the genuine process". The cosmetics to be tested that are "not conforming to the genuine process" are judged to have a low degree of consistency with their corresponding genuine cosmetics and will no longer enter the subsequent testing link. Since the APP is only applicable to products that have been included in its database, most of which are high-end cosmetics, the scope of use is limited to a certain extent, and there is a certain lag in the update of the database after the product changes its packaging. Subsequent technical indicator consistency tests are performed on samples that "conform to the genuine process" or are not entered into the Makeup Check APP database.

[0044] S2. Technical indicator consistency test: Determine the consistency with M n The consistency evaluation of technical indicators is carried out on multiple technical indicators and each technical indicator is measured separately. Then, the results of each technical indicator are converted for consistency to obtain the converted consistency data of each technical indicator. The conversion formula is:

[0045] X n =(1-ΔA×B)×100%

[0046] Among them, Xn is the converted consistency of a certain technical indicator of the tested cosmetics; ΔA is the deviation of the technical indicator of the tested cosmetics; B is the corresponding deviation conversion coefficient of the technical indicator, or Among them, with M n The multiple technical indicators related to the consistency assessment of technical indicators are at least three of the following: color, pH, relative density, preservative ingredients, functional ingredients, and infrared spectrum matching rate; (1) color

[0047] For those who lack professional training, it is difficult to accurately judge the subtle color differences between different products by vision alone, and the degree of difference cannot be quantified. Therefore, the study refers to the method of cosmetic efficacy testing, using instruments that can measure L*, a*, and b* value parameters, such as the Colorimeter of the German CK company, to measure the L*, a*, and b* differences ΔL*, Δa*, and Δb* of the sample and the reference; where L* is the brightness of the color, a* is the red-green color, and b* is the yellow-blue color; ΔA is the color difference It is the combined deviation of L*, a*, and b* color differences. The smaller it is, the smaller the color difference is. When measuring, the thickness of the reference and sample should be kept as consistent as possible to reduce errors. Some raw materials such as plant extracts from different picking seasons and origins may have certain differences in color. If the amount used in the product is large, it is easy to cause color deviations in different batches of products or products after a certain period of storage. If the color range described in the product's implementation standard is wide, the color technical indicators are not suitable as an evaluation basis.

[0048] (2) Conventional physical and chemical parameters

[0049] The pH value, viscosity and relative density of the product reflect the overall situation of the formula. Viscosity is prone to change gradually with storage time and is not suitable as an evaluation basis; the relative density index of liquid products is relatively stable, and the sample / reference ratio can be used as an evaluation basis. The pH of some products is prone to change with storage time, so the implementation standards or internal control indicators of some registered products have a wide range, with a difference of more than 1 between the lowest and highest values ​​to ensure that the product meets the requirements throughout the shelf life. The pH value of such cosmetics is not suitable as an evaluation basis. Only products with a smaller pH range (for example, within 0.8) in the implementation standards are suitable as an evaluation basis.

[0050] (3) Antiseptic ingredients

[0051] The role of preservatives in cosmetics is to protect the product from microbial contamination and extend the shelf life of the product. Most products have preservatives added. Due to different formulas, the preservative systems and corresponding addition amounts used by different products are also different. A well-known company was found to have excessive preservatives in its products during spot checks, but after subsequent investigations, it was found that the samples tested were fakes. Therefore, the amount of preservatives added in the product can be tested using national standards, and the preservative content ratio of the sample / reference product can be used as the basis for evaluation. When selecting a preservative, it is necessary to consider its addition amount in the product. If the content is too low, it is easy to cause a large deviation caused by the determination method, which in turn affects the determination of the final result.

[0052] Although the maximum allowable amount of permitted preservatives in cosmetics stipulated by the regulations is a safe dose under the cognitive conditions at the time, in recent years, public opinion and consumers have been more resistant to the use of preservatives. To cater to this trend, more and more substances that have the function of inhibiting microbial growth outside the list of permitted preservatives in the "Technical Specifications for Safety of Cosmetics" are being used in products. The content of these preservative ingredients can also be measured accordingly. Although such substances are rarely involved in the current national and industry testing method standards, there are some group standards or literature reports for reference, such as T / GZZJ 04-2019 "Determination of the content of para-hydroxyacetophenone in cosmetics by high performance liquid chromatography" and so on.

[0053] (4) Effective ingredients

[0054] Functional ingredients have always been the main selling point of cosmetics. Many companies also have their own ingredients that they promote or even patent. Many functional ingredients are expensive, so testing the content of specific functional ingredients in reference substances and samples can also reflect the consistency of the two from one aspect. GB / T 42425-2023 "High Performance Liquid Chromatography for the Determination of Functional Ingredients Capryloylsalicylic Acid, Phenethyl Resorcinol and Ferulic Acid in Cosmetics", QB / T 5594-2021 "High Performance Liquid Chromatography for the Determination of Transamic Acid (Tranexamic Acid) in Cosmetics" and "Technical Specifications for Safety of Cosmetics" (2015 Edition) Chapter 4, 5.8 "22 Sunscreens including 3-Benzylidene Camphor" are all testing standards for functional ingredients.

[0055] The stability of some active ingredients is poor, and their content in the product may decrease with storage time. For example, light, acidic and alkaline environments will affect the stability of arbutin, and sodium carboxymethyl cellulose will promote the decomposition of ellagic acid. The amount of sodium chloride in the emulsion is basically proportional to the degree of decrease in ellagic acid content. Therefore, when selecting the target, it is necessary to comprehensively consider factors such as whether there is a reliable detection method, the price of the raw material, the stability of the ingredient, and the content in the product. Finally, the ratio of the active ingredient content of the sample / reference product is also used as the judgment standard.

[0056] (5) Infrared spectrum matching rate

[0057] Although the consistency analysis of Fourier transform infrared spectroscopy has its limitations, the relevant equipment is widely used and has been adopted as the basis for identification in multiple raw material standards such as QB / T 5290-2018 "Phenoxyethanol as a Raw Material for Cosmetics" and QB / T 5107-2017 "Allantoin as a Raw Material for Cosmetics". After the test, the instrument will automatically calculate the percentage of matching.

[0058] (6) Evaluation method

[0059] The evaluation indicators can be adaptively increased or decreased according to the actual situation of the product. For example, the spectrophotometer may be damaged due to the entry of powder and liquid into the device, so these products cannot detect color, cream products cannot detect relative density, some disposable products do not need to use preservatives, and some basic skin care products do not have iconic functional ingredients. If there is more than one preservative or functional ingredient added to the sample, the method of this embodiment increases the dimension instead of averaging the ratios of several preservatives, which can avoid the situation where two data with large positive and negative deviations are close to 100% after averaging.

[0060] Since cosmetics are usually a mixture of many raw materials, there will be certain differences between different batches of the same product or the same product produced by different manufacturers. In addition, there are normal errors in the test data. Therefore, an appropriate reference threshold is needed as a reference for judging the consistency between the control and the sample.

[0061] The ΔE value of the color index is not the ratio of the sample to the reference. The literature

[89] that studies the difference in reference color difference takes ΔE = 2 as the reference threshold for high consistency and ΔE = 4 as the reference threshold for low consistency.

[0062] Standards such as QB / T 2660-2004 "Lotion" and GB / T 29990-2013 "Moisturizing Oil" set the relative density quality control index of liquid cosmetics at ±0.02. Products exceeding this index are considered unqualified. Considering that the density of most liquid products is between 0.85-1.05, deviations of ±1% and ±2% are used as reference thresholds for high and low consistency, respectively.

[0063] The implementation standards of many registered products include the pH range. For example, the pH value of some products mentioned in (2) is prone to change with storage time. The pH value of such cosmetics is not suitable as the basis for evaluation. GB / T6368-2008 "Determination of pH value of aqueous surfactant solution by potentiometric method" stipulates that the same sample should be measured twice in parallel, and the difference in measurement should not be greater than 0.1. The pH conversion method of the method of the present invention is appropriately relaxed on this basis, and ±0.2 and ±0.4 are used as the reference thresholds for high and low consistency, respectively.

[0064] It is understood that the deviation of raw material input by manufacturers is mostly controlled within 2%. Referring to GB 28050-2011 "General Rules for Nutrition Labeling of Pre-packaged Foods", the allowable error range for most energy and nutrient contents is ≥80% or ≤120% of the labeled value. The "Technical Guidelines for Children's Cosmetics (Draft for Comments)" released in 2022 mentioned that the control indicators of permitted components generally do not exceed ±20% of the reported amount in the formula (this content was deleted in the official release), and the chromatography and mass spectrometry detection standards generally stipulate that the absolute difference between two independent measurement results is usually not more than 10% or 15% of the arithmetic mean. Therefore, this method uses the content of preservatives and functional ingredients as ±20% and ±40% deviations from the reference as the reference thresholds for high and low consistency, respectively.

[0065] Many corporate standards use a 90% match in infrared spectra as an indicator for determining whether raw materials meet the requirements. Considering that finished cosmetic products are a mixture of multiple raw materials and are more complex than the raw materials, and that some products have slightly different formulas in different regions to meet the needs of regulations in different countries, infrared spectrum match rates of 90% and 80% are used as reference thresholds for high and low consistency.

[0066] As described in the background technology section, when the deviation is the same percentage, the actual difference between the sample and the reference reflected by different indicators is different. In order to more intuitively reflect the consistency between the sample and the authentic product, the method of this embodiment converts the deviation of different indicators into a percentage value of consistency (see Table 2) so that 80% and 60% can be used as reference thresholds for high and low consistency, respectively, for evaluation (data that deviate from the reference by more than 100% are converted to 0% consistency).

[0067] As mentioned above, the ΔE value uses 2 and 4 as the reference thresholds of high and low consistency, respectively, and the corresponding conversion into a deviation of 20% and 40% requires ΔE / 10×100%; the relative density will deviate from 1% and 2% as the reference thresholds of high and low consistency, respectively, and the corresponding conversion into a deviation of 20% and 40% requires ΔA×20; the infrared spectrum matching rate will deviate from 10% and 20% as the reference thresholds of high and low consistency, respectively, and the corresponding conversion into a deviation of 20% and 40% requires ΔA×2; the pH will deviate from 0.2 and 0.4 as the reference thresholds of high and low consistency, respectively, and the corresponding conversion into a deviation of 20% and 40% requires ΔA×100%.

[0068] Table 2 Examples of converting the deviation of different indicators into consistency

[0069]

[0070] S3. Judgment of consistency: Based on the converted consistency data of various technical indicators obtained in step S2, if the average value of the converted consistency of various technical indicators of the sample is not less than 80% and the converted consistency of any technical indicator of the sample is not less than 60%, it is judged that the degree of consistency between the sample and the reference is high; otherwise, it is judged that the degree of consistency between the sample and the reference is low.

[0071] When the consistency of any technical indicator of the sample after conversion is lower than 60%, the sample is judged to have low consistency. This can prevent counterfeits from simulating the formula of genuine products, causing multiple indicators to be similar to the genuine products, resulting in a high average consistency value and causing misjudgment (the counterfeits have high consistency with the genuine products). The threshold selected by the evaluation method of this embodiment can also be adjusted according to the specific circumstances of the actual product, and it has strong reliability and practicality.

[0072] The results are integrated and presented intuitively in the form of a radar chart (see Figure 3 ), recorded as the multi-dimensional evaluation diagram of consistency after conversion of the sample, the multi-dimensional evaluation diagram of consistency after conversion is different from the multi-dimensional evaluation diagram of consistency before conversion (see Figure 2 ) can more clearly and accurately reflect the differences between the reference substance and the sample in terms of formulation system and characteristic ingredients.

[0073] Example 2

[0074] The multi-dimensional evaluation method for sunscreen consistency of this embodiment includes the following steps:

[0075] S1. Outer packaging consistency test: Take a detailed picture of the outer packaging of the sunscreen and upload it to the Zhuangchacha APP. The outer packaging of the sunscreen is tested for consistency through the Zhuangchacha APP. It is found that the outer packaging of the sunscreen conforms to the authentic process, which is recorded as M1. M1 is further tested for technical indicator consistency;

[0076] S2. Technical index consistency test: Since the sunscreen is colored, it is difficult to confirm whether there are bubbles in it during the measurement, so it is not appropriate to set the relative density index; the main active ingredients are zinc oxide and titanium dioxide, and the preservatives used are phenoxyethanol, methylchloroisothiazolinone and a mixture of methylisothiazolinone with magnesium chloride and magnesium nitrate, but the latter is marked in the other trace ingredients column, and the limit value stipulated in the "Technical Specifications for Safety of Cosmetics" (2015 edition) is very low, and the actual content is slightly higher than the quantitative limit of the detection standard. The relative deviation will be relatively large, and it is not suitable as an evaluation indicator; the multiple technical indicators related to the consistency evaluation of the M1 technical indicators that were finally determined are color, pH, phenoxyethanol, zinc oxide, titanium dioxide and infrared spectrum matching rate;

[0077] The color, pH, phenoxyethanol content, zinc oxide content, titanium dioxide content and infrared spectrum matching rate of M1 were measured respectively, and then the results of the measured technical indicators were converted for consistency, and the converted consistency data of the technical indicators were obtained (see Table 3);

[0078] Table 3 Multi-dimensional evaluation data of sunscreen consistency in this example

[0079]

[0080] From the data in Table 3, it can be seen that the average value of the converted consistency of each technical index of M1 (sunscreen lotion) in this embodiment is 98%, which is higher than 80%, and the converted consistency of each technical index is higher than 60%, indicating that M1 (sunscreen lotion) in this embodiment has high consistency with the corresponding genuine product; the results are integrated and presented intuitively in the form of a radar chart (see Figure 4 ), recorded as the multi-dimensional evaluation diagram of the converted consistency of M1, from Figure 4 It can be clearly seen that the converted consistency values ​​and average values ​​of the technical indicators of M1 are between the 90 and 100 isovalue lines, indicating that the performance of M1 in each dimension is higher than 90%, with high consistency with the corresponding authentic products, and it is presumed to be authentic.

[0081] Example 3

[0082] The multi-dimensional evaluation method for the consistency of cosmetic powder blocks of this embodiment includes the following steps:

[0083] S1. Outer packaging consistency test: take a detailed picture of the outer packaging of the cosmetic powder block and upload it to the Zhuangchacha APP. If it is found that the cosmetic powder block is not included in the database of the Zhuangchacha APP, the cosmetic powder block is recorded as M2, and the technical indicator consistency test of M2 is continued;

[0084] S2. Technical index consistency test: Since the relative density of cosmetic powder blocks cannot be measured and the color of the raw materials with pearlescent properties cannot be measured, the preservatives used are sorbic acid and dehydroacetic acid, and the main active ingredients are colorants CI19140 (lemon yellow) and CI42090 (brilliant blue); the multiple technical indicators related to the M2 technical index consistency assessment that were finally determined are pH, sorbic acid, dehydroacetic acid, CI19140, CI42090 and infrared spectrum matching rate;

[0085] The pH, sorbic acid content, dehydroacetic acid content, CI19140 content, CI42090 content and infrared spectrum matching rate of M2 were measured respectively, and then the results of the measured technical indicators were converted for consistency, and the converted consistency data of the technical indicators were obtained (see Table 4);

[0086] Table 4 Multi-dimensional evaluation data of the consistency of the cosmetic powder block in this embodiment

[0087]

[0088] From the data in Table 4, it can be seen that the average value of the converted consistency of each technical index of M2 (makeup powder block) in this embodiment is 96%, which is higher than 80%, and the converted consistency of each technical index is higher than 60%, indicating that the M2 (makeup powder block) in this embodiment has high consistency with the corresponding genuine product; the results are integrated and presented intuitively in the form of a radar chart (see Figure 5 ), recorded as the multi-dimensional evaluation diagram of the converted consistency of M2, from Figure 5 It can be clearly seen that the converted consistency values ​​and average values ​​of the technical indicators of M2 are between the 90 and 100 isovalue lines, indicating that the performance of M2 in each dimension is higher than 90%, with high consistency with the corresponding authentic products, and it is presumed to be authentic.

[0089] Example 4

[0090] The multi-dimensional evaluation method for consistency of cream cosmetics in this embodiment includes the following steps:

[0091] S1. Outer packaging consistency test: Take a detailed picture of the outer packaging of the cream cosmetics and upload it to the Zhuangchacha APP. The outer packaging of the cream cosmetics is tested for consistency through the Zhuangchacha APP. It is found that the outer packaging of the cream cosmetics meets the authentic process, which is recorded as M3. M3 is further tested for technical indicator consistency;

[0092] S2. Technical indicator consistency test: Since the relative density and pH value of cream cosmetics cannot be measured, the preservative used is phenoxyethanol, and the main active ingredient is phenethyl resorcinol; the multiple technical indicators related to the M3 technical indicator consistency assessment that were finally determined are color, pH value, phenoxyethanol, phenethyl resorcinol and infrared spectrum matching rate;

[0093] The color, pH, phenoxyethanol content, phenylethyl resorcinol content and infrared spectrum matching rate of M3 were measured respectively, and then the results of the measured technical indicators were converted for consistency, and the converted consistency data of the technical indicators were obtained (see Table 5);

[0094] Table 5 Multi-dimensional evaluation data of consistency of cream cosmetics in this example

[0095]

[0096] From the data in Table 5, it can be seen that the average value of the consistency of each technical index of M3 (cream cosmetics) in this embodiment after conversion is 95%, which is higher than 80%, and the consistency of each technical index after conversion is higher than 60%, indicating that M3 (cream cosmetics) in this embodiment has high consistency with the corresponding genuine product; the results are integrated and presented intuitively in the form of a radar chart (see Figure 6 ), recorded as the multi-dimensional evaluation diagram of the converted consistency of M3, from Figure 6 It can be clearly seen that the converted consistency values ​​and average values ​​of the technical indicators of M3 are between the 80 and 100 isovalue lines, indicating that the performance of M3 in each dimension is higher than 80%, with high consistency with the corresponding authentic products, and it is presumed to be authentic.

[0097] Example 5

[0098] The multi-dimensional evaluation method for lotion consistency of this embodiment includes the following steps:

[0099] S1. Outer packaging consistency test: Take a detailed picture of the outer packaging of the lotion and upload it to the Zhuangchacha APP. It is found that the lotion is not included in the database of the Zhuangchacha APP. The lotion is recorded as M4 and the consistency test of technical indicators of M4 is continued;

[0100] S2. Technical indicator consistency test: Since the liquid is not suitable for detection using a colorimeter, the preservative system is phenoxyethanol and chlorphenesin, and the main active ingredient is tocopherol acetate; the multiple technical indicators related to the M4 technical indicator consistency assessment that were finally determined are pH, relative density, phenoxyethanol, chlorphenesin, tocopherol acetate and infrared spectrum matching rate;

[0101] The pH, relative density, phenoxyethanol content, chlorphenesin content, tocopherol acetate content and infrared spectrum matching rate of M4 were measured respectively, and then the results of the measured technical indicators were converted for consistency, and the converted consistency data of the technical indicators were obtained (see Table 6);

[0102] Table 6 Multi-dimensional evaluation data of lotion consistency in this example

[0103]

[0104] From the data in Table 6, it can be seen that the average value of the technical indicators of M4 (lotion) in this embodiment after conversion is 59%, which is lower than 80%, indicating that the consistency of M4 (lotion) in this embodiment is low with the corresponding genuine product; the results are integrated and presented intuitively in the form of a radar chart (see Figure 6 ), recorded as the multi-dimensional evaluation diagram of the converted consistency of M4, from Figure 6 It can be clearly seen that although the relative density and infrared spectrum matching rate of M4 have high consistency values ​​after conversion, the consistency values ​​of its pH, phenoxyethanol content and chlorphenesin content after conversion are all lower than 60%. The overall consistency is low, and it is speculated to be a counterfeit.

[0105] Example 6

[0106] The multi-dimensional evaluation method for lipstick consistency of this embodiment includes the following steps:

[0107] S1. Outer packaging consistency detection: Take a detailed picture of the lipstick's outer packaging and upload it to the Zhuangchacha APP. The Zhuangchacha APP is used to detect the consistency of the lipstick's outer packaging. It is measured that the outer packaging of the lipstick does not meet the authentic craftsmanship. It is judged that the lipstick has low consistency with its corresponding authentic product and is presumed to be a counterfeit.

[0108] Example 7

[0109] The multi-dimensional evaluation method of the essence consistency of this embodiment includes the following steps:

[0110] S1. Outer packaging consistency test: Take a detailed picture of the outer packaging of the essence and upload it to the Zhuangchacha APP. The outer packaging of the essence is tested for consistency through the Zhuangchacha APP. It is found that the outer packaging of the essence meets the authentic process, which is recorded as M5. M5 is further tested for technical indicator consistency;

[0111] S2. Technical index consistency test: Since the essence sample has strong fluidity and is not suitable for detection using a colorimeter, the preservative system is phenoxyethanol and the main active ingredient is sodium PCA; the multiple technical indicators related to the M5 technical index consistency assessment that were finally determined are pH, relative density, phenoxyethanol, sodium PCA and infrared spectrum matching rate;

[0112] The pH, relative density, phenoxyethanol content, PCA sodium content and infrared spectrum matching rate of M5 were measured respectively, and then the results of the measured technical indicators were converted for consistency, and the converted consistency data of the technical indicators were obtained (see Table 7);

[0113]

[0114] Table 7 Multi-dimensional evaluation data of the consistency of the essence in this example

[0115] From the data in Table 7, it can be seen that the average value of the technical indicators of M5 (essence) in this embodiment after conversion is 68%, which is lower than 80%, indicating that the consistency of M5 (essence) in this embodiment is low with the corresponding genuine product; the results are integrated and presented intuitively in the form of a radar chart (see Figure 7 ), recorded as the multi-dimensional evaluation diagram of the converted consistency of M5, from Figure 7 It can be clearly seen that, except for the infrared spectrum matching rate, the consistency of each technical indicator of M5 after conversion is no higher than 80%. The overall consistency is low, and it is speculated to be a fake.

[0116] Comparative Example 1

[0117] The sunscreen lotion in Example 2 was measured by infrared spectrophotometry according to the standard QB / T 5290-2018 "Phenoxyethanol, a Raw Material for Cosmetics", and the infrared spectrum matching rate was 100%;

[0118] Referring to the 90% index, it is inferred that the sunscreen is authentic.

[0119] Comparative Example 2

[0120] The cosmetic powder block in Example 3 was measured by infrared spectrophotometry with reference to the standard QB / T 5290-2018 "Phenoxyethanol, a Raw Material for Cosmetics", and the infrared spectrum matching rate was 99%;

[0121] Referring to the 90% index, it is inferred that the cosmetic powder block is authentic.

[0122] Comparative Example 3

[0123] The cream cosmetics in Example 4 were measured by infrared spectrophotometry according to the standard QB / T 5290-2018 "Phenoxyethanol, a Raw Material for Cosmetics", and the infrared spectrum matching rate was 99.5%;

[0124] Referring to the 90% indicator, it is inferred that the cream cosmetic is authentic.

[0125] Comparative Example 4

[0126] The lotion in Example 5 was measured by infrared spectrophotometry according to the standard QB / T 5290-2018 "Phenoxyethanol, a Raw Material for Cosmetics", and the infrared spectrum matching rate was 97%;

[0127] Referring to the 90% indicator, it is inferred that the lotion is authentic.

[0128] Comparative Example 5

[0129] The essence in Example 7 was measured by infrared spectrophotometry with reference to the standard QB / T 5290-2018 "Phenoxyethanol, a Raw Material for Cosmetics", and the infrared spectrum matching rate was 95%;

[0130] Referring to the 90% indicator, it is inferred that the essence is authentic.

[0131] Comparative Example 6

[0132] use Figure 1 The sunscreen lotion in Example 2 was evaluated for consistency using the product consistency method using packaging sensory and technical indicators (average consistency) as the basis for judgment. The measured data is shown in Table 8.

[0133] Comparative Example 7

[0134] use Figure 1 The cosmetic powder block in Example 3 was evaluated for consistency using the product consistency method using packaging sensory and technical indicators (average consistency) as the basis for judgment. The measured data is shown in Table 8.

[0135] Comparative Example 8

[0136] use Figure 1 The consistency of the cream cosmetics in Example 4 was evaluated using the product consistency method using packaging sensory and technical indicators (average consistency) as the basis for judgment. The measured data are shown in Table 8.

[0137] Comparative Example 9

[0138] use Figure 1 The consistency of the lotion in Example 5 was evaluated using the product consistency method using packaging sensory and technical indicators (average consistency) as the basis for judgment. The measured data is shown in Table 8.

[0139] Comparative Example 10

[0140] use Figure 1 The lipstick in Example 6 was evaluated for consistency using the product consistency method using packaging sensory and technical indicators (average consistency) as the basis for judgment. The measured data is shown in Table 8.

[0141] Comparative Example 11

[0142] use Figure 1 The product consistency method shown in the figure using packaging sensory and technical indicators (average consistency) as the basis for judgment was used to evaluate the consistency of the essence in Example 7, and the measured data is shown in Table 8.

[0143] Table 8 Use Figure 1 The sample consistency data in Examples 2 to 7 obtained by the method shown

[0144]

[0145] The packaging sensory values ​​in Table 8 are taken as the values ​​of the X-axis and the average consistency values ​​of the technical indicators are taken as the values ​​of the Y-axis. Fig. 9 (red represents the sunscreen lotion in Example 2, blue represents the cosmetic powder in Example 3, orange represents the cream cosmetic in Example 4, purple represents the lotion in Example 5, and green represents the essence in Example 7). Fig. 9 , it can be seen that the use Figure 1 The method shown is used to evaluate the consistency of the samples in Examples 2 to 7. It is speculated that the sunscreen in Example 2, the makeup powder in Example 3, the cream cosmetics in Example 4, and the essence in Example 7 are all genuine products, and it is speculated that the lotion in Example 5 and the lipstick in Example 6 are all counterfeit products.

[0146] The sources of the cosmetics in the examples were traced back, and it was finally found that the sunscreen in Example 2 and the makeup powder in Example 3 were genuine products with the same source as their corresponding genuine products but from different batches. The acquisition route of the paste cosmetics in Example 4 was different from that of its corresponding genuine products. After confirmation, it was found that they were products produced by manufacturers officially authorized by the corresponding genuine brands in accordance with strict quality standards and were also genuine products. The lotion in Example 5, the lipstick in Example 6, and the essence in Example 7 were all counterfeit products, which were consistent with the results obtained by the multi-dimensional evaluation method for cosmetics consistency of the present invention, indicating that the consistency evaluation of the above-mentioned multiple types of tested cosmetics using the method of the present invention is accurate, can accurately identify various similar cosmetics, and improve the accuracy of authenticity identification of cosmetics.

[0147] The samples in Examples 2 to 7 were measured using the commonly used infrared spectrophotometry method. It was speculated that the lotion in Example 5 and the essence in Example 7 were both genuine products. However, in fact, the other indicators of the two samples were quite different. Based on the evaluation results of the method of the present invention, they were speculated to be counterfeit products.

[0148] Figure 1The product consistency method shown in the figure, which uses packaging sensory and technical indicators as the basis for judgment, uses the percentage average of the detection values ​​of many indicators as the evaluation basis. Different indicators have different characteristics, and the same deviation actually represents different differences between the genuine product and the sample. In addition, the packaging and sensory are judged by the naked eye, so the accuracy and repeatability are lacking. As shown in Table 8, although the results obtained by using this method to infer the authenticity of sunscreen milk, cosmetic powder, cream, lotion, and lipstick samples are consistent with the results of this method, for the essence in Example 7, since the pH, relative density, and infrared spectrum matching rate detection results are relatively close, the outer packaging and sensory are also very similar, and it is difficult to distinguish them with the naked eye. Only the deviations in the content of preservatives and functional ingredients are large, the obtained packaging sensory and technical indicator consistency are all above 85%, and it is inferred to be genuine if 80% is used as the judgment standard; but the average consistency after conversion according to this method is only 68% (see Table 7), and there are technical indicators with a consistency lower than 60% after conversion, so it is inferred that the essence is a counterfeit.

[0149] In summary, the consistency multi-dimensional evaluation method of the present invention is more scientific and reasonable than the existing cosmetics consistency evaluation method when conducting consistency evaluation on various types of cosmetics to be tested, and has higher accuracy.

[0150] The above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable people familiar with the technology to understand the content of the present invention and implement it accordingly, and they cannot be used to limit the protection scope of the present invention. Any equivalent transformation or modification made according to the spirit of the present invention should be included in the protection scope of the present invention.

Claims

1. A multi-dimensional evaluation method for cosmetic consistency, characterized in that: The following steps are involved: S1. Outer packaging consistency detection: Obtain photos of key parts of the outer packaging of the tested cosmetics and upload them to the Zhuangchacha APP, and use the Zhuangchacha APP to detect the consistency of the outer packaging of the tested cosmetics; if the Zhuangchacha APP determines that the tested cosmetics do not meet the authentic process, it is directly judged that the degree of consistency between the tested cosmetics and its corresponding authentic cosmetics is low, and no subsequent testing is performed; the tested cosmetics that meet the authentic process or are not entered into the Zhuangchacha APP database are recorded as M n , conduct consistency test of technical indicators; S2. Technical indicator consistency test: Determine the consistency with M n The consistency evaluation of technical indicators is carried out on multiple technical indicators and each technical indicator is measured separately. Then, the results of each technical indicator are converted for consistency to obtain the converted consistency data of each technical indicator. The conversion formula is: X n =(1-ΔA×B)×100% Among them, X n is the converted consistency of a certain technical indicator of the tested cosmetics; ΔA is the deviation of the technical indicator of the tested cosmetics; B is the corresponding deviation conversion coefficient of the technical indicator, or S3. Consistency judgment: Based on the converted consistency data of various technical indicators obtained in step S2, if the average value of the converted consistency of various technical indicators of the tested cosmetics is not less than 80% and the converted consistency of any technical indicator of the tested cosmetics is not less than 60%, it is judged that the degree of consistency between the tested cosmetics and the corresponding authentic cosmetics is high; otherwise, it is judged that the degree of consistency between the tested cosmetics and the corresponding authentic cosmetics is low.

2. The method for multi-dimensional evaluation of cosmetic consistency according to claim 1, characterized in that: In step S2, n The multiple technical indicators related to the technical indicator consistency assessment are at least three of the following: color, pH, relative density, preservative ingredients, functional ingredients, and infrared spectrum matching rate.

3. The method for multi-dimensional evaluation of cosmetic consistency according to claim 2, characterized in that: In step S2, when the technical indicator is color, ΔA is the color difference ΔE between the tested cosmetics and the corresponding genuine product, and its corresponding high consistency reference threshold is 2, and its low consistency reference threshold is 4.

4. The method for multi-dimensional evaluation of cosmetic consistency according to claim 2, characterized in that: In step S2, when the technical indicator is pH, ΔA is the absolute difference between the pH of the cosmetic to be tested and the pH of the corresponding authentic product, and its corresponding high consistency reference threshold is 0.2, and its low consistency reference threshold is 0.

4.

5. The method for multi-dimensional evaluation of cosmetic consistency according to claim 2, characterized in that: In step S2, when the technical indicator is relative density, ΔA is the relative difference between the relative density of the cosmetic to be tested and the relative density of the corresponding genuine product, and the corresponding high consistency reference threshold is 1% and the low consistency reference threshold is 2%.

6. The method for multi-dimensional evaluation of cosmetic consistency according to claim 2, characterized in that: In step S2, when the technical indicator is a preservative ingredient or an effective ingredient, ΔA is the relative difference between the preservative ingredient content of the cosmetic to be tested and the preservative ingredient content of the corresponding authentic product, or the relative difference between the effective ingredient content of the cosmetic to be tested and the effective ingredient content of the corresponding authentic product, and the corresponding high consistency reference threshold is 20%, and the low consistency reference threshold is 40%.

7. The method for multi-dimensional evaluation of cosmetic consistency according to claim 2, characterized in that: In step S2, when the technical indicator is the infrared spectrum matching rate, ΔA=1-the infrared spectrum matching rate between the tested cosmetics and the corresponding genuine product, and the corresponding high consistency reference threshold is 10%, and the low consistency reference threshold is 20%.

8. The method for multi-dimensional evaluation of cosmetic consistency according to claim 3, characterized in that: In step S2, the color technical indicators are measured by an instrument capable of measuring L*, a*, and b* value parameters; the L*, a*, and b* differences ΔL*, Δa*, and Δb* between the tested cosmetics and the corresponding genuine cosmetics are measured; wherein L* is the brightness of the color, a* is the red-green color, and b* is the yellow-blue color.

9. The method for multi-dimensional evaluation of cosmetic consistency according to claim 1, characterized in that: In step S2, when ΔA ≥ 100%, X n =0.

10. The method for multi-dimensional evaluation of cosmetic consistency according to claim 1, characterized in that: In step S3, a radar chart is drawn based on the converted consistency data of various technical indicators obtained in step S2. The radar chart uses the converted consistency of various technical indicators and the average value of the converted consistency of all technical indicators as vertices, which is recorded as a multi-dimensional evaluation chart of the converted consistency of the cosmetic to be tested. The consistency of the cosmetic to be tested is judged by the multi-dimensional evaluation chart of the converted consistency.

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