A method for predicting the efficacy of products in reducing open comedones from multiple dimensions

Abstract

This invention relates to the field of cosmetic testing technology, particularly to IPC A61B5, and more specifically to a method for predicting the effectiveness of a product in reducing open comedones from multiple dimensions. The invention involves two steps: (1) using an integrated device system to predict the effectiveness of a product in reducing open comedones, thereby determining the sebum-dissolving properties of the product; and (2) using a skin image analysis system to photograph the skin condition of volunteers before and after using the product, analyzing the dissolution of blackheads using the Lab color model of the skin, and evaluating the effectiveness of the product in removing blackheads before and after use. The effect of the product is evaluated simultaneously from both in vitro and human experimental perspectives, and the results are closer to the performance of the product itself.

Description

Technical Field

[0001] This invention relates to the field of cosmetic testing technology, and more particularly to IPC A61B5, and more specifically to a method for predicting the efficacy of products in reducing open comedones from multiple dimensions. Background Technology

[0002] Blackheads, also known as open comedones, are formed when excessive sebum secretion in the skin comes into contact with air and is oxidized by oxygen. They are commonly found in young people with excessive sebum production. Long-term presence of blackheads can enlarge pores, thus affecting appearance. With modernization, more and more people pursue a perfect appearance, leading to the emergence of numerous blackhead removal products. Common methods for evaluating blackheads involve assessing changes in the number of blackheads or skin evenness before and after product use. However, these methods vary, and human application can introduce biases due to time and technique, resulting in incomplete evaluations. They fail to observe whether blackhead sebum is dissolved during product contact, and thus lack detailed assessment of product efficacy, failing to provide strong data support for product development. Therefore, there is a need to develop an objective, accurate, and scientifically sound multi-dimensional method for predicting the efficacy of products in reducing open comedones.

[0003] Existing patent CN202111490294.7 discloses a non-contact testing method, system, computer equipment, and medium for acne and blackheads. It learns to identify blackheads by pre-inputting facial acne and blackhead image samples, and then labels and measures all acne and blackheads in a captured facial image. This method has the advantage of conveniently grading and statistically labeling acne and blackheads. However, the accuracy of this method has not been proven.

[0004] Currently, commonly used methods for predicting the fading of open comedones are usually expert techniques or evaluations based on the International Modified Classification of Acne. These methods only measure one dimension and have certain limitations. Summary of the Invention

[0005] To address the problems in the prior art, the first aspect of this invention provides a method for multi-dimensional predictive efficacy products to lighten open comedones, comprising the following steps:

[0006] (1) The sebum-dissolving performance of the product was judged by predicting the effect of the product on open comedones through an integrated device system.

[0007] (2) The skin of volunteers before, during and after using the efficacy product was photographed using a skin image analysis system. The dissolution of blackheads was analyzed using the Lab color model of the skin, and the efficacy of the efficacy product in removing blackheads before and after use was evaluated.

[0008] Preferably, the integrated device system includes a constant temperature and humidity control system, a camera system, a sample processing system, a detection system, and a data recording and analysis system.

[0009] Preferably, the camera system includes a receiver module and a track module. The receiver module contains two cameras for photographing the sample bottles being observed; the track module controls the movement of the cameras to determine an appropriate distance for shooting.

[0010] Preferably, the sample processing system includes a sample injection module, a sample placement module, and a lighting module. The sample injection module includes an automatic sample injection device that can inject the efficacy product into the observation sample bottle; the sample placement module serves as a platform for placing the sample; and the lighting module includes a light panel and a screen to place the observation sample bottle in a suitable shooting environment.

[0011] Preferably, the detection system includes a scanning module and a height measurement module. The scanning module measures the whiteness of the sebum in the sample bottle after it has reached dissolution equilibrium; the height measurement module measures the height of each layer of sebum in the sample bottle after it has reached dissolution equilibrium.

[0012] Preferably, the data recording and analysis system records and analyzes the data captured by the camera system and the whiteness of the grease and the height of each layer of grease detected by the detection system.

[0013] In some preferred embodiments, the constant temperature and humidity system is first activated to control the temperature and humidity within the system. Then, the camera system is set up, and the position of the camera in the display module is fixed by the track module. The efficacy product is injected into the observation sample bottle via the sample processing module and placed on the sample placement platform. Finally, the lighting module is set up to place the observation sample bottle in a suitable shooting environment. The detection system measures the whiteness of the sebum after sebum dissolution equilibrium and the height of each sebum layer after dissolution equilibrium. The data recording and analysis system records and analyzes the data captured by the camera system and the whiteness and height of each sebum layer detected by the detection system.

[0014] Preferably, the specific process in (1) includes the following steps:

[0015] S1: Turn on the temperature and humidity control system;

[0016] S2: Sample processing system and camera system processing: The instrument extracts the efficacy product and injects it into the observation sample bottle. The observation sample bottle contains artificial sebum dyed with pigment. The observation sample bottle is placed on the lifting frame, the height is adjusted, and a camera is equipped to shoot dynamic video.

[0017] S3: Sample processing system and camera system processing: Use instruments to extract the pigment-dyed efficacy products and inject them into the observation sample bottle. Observe whether the sample contains undyed artificial sebum. Place the observation sample bottle on the lifting frame, adjust the height, equip it with a camera, and shoot dynamic video.

[0018] S4: Detection system scanning module processing: The device scans S2 to observe the whiteness of the sample bottle after the sebum dissolution balance, simulating the situation of human nose sebum dissolving sebum after contact with the functional product.

[0019] S5: Detection system height measurement module processing: After the sebum dissolution in the sample bottle reaches equilibrium as observed in S3, use a height ruler to measure and observe the thickness of the sebum at the top of the sample bottle, simulating the amount of sebum that can be scraped off the human nose.

[0020] Preferably, the instruments in S2 and S3 are autosamplers.

[0021] Preferably, the amount of artificial sebum stained with pigment in the observation sample bottle in S2 is 1 to 1.2 g.

[0022] Preferably, the pigment in the sample bottle observed in S2 is an oil-soluble pigment.

[0023] Preferably, the oil-soluble pigment color includes any one of purple, yellow, green, blue, orange, red, and pink; more preferably, the oil-soluble pigment color is purple.

[0024] Preferably, the specific process of artificial sebum staining in S2 is as follows: the artificial sebum is heated to 75-80°C, and when the artificial sebum reaches a fully melted and fluid state, the oil-soluble pigment is added, stirred evenly with a glass rod, and then placed in an observation sample bottle for standing and cooling.

[0025] Preferably, the volume ratio of artificial sebum to oil-soluble pigment in S2 is 1 to 1.2:0.05; more preferably, it is 1:0.05.

[0026] Preferably, in step S2, the volume ratio of the stained artificial sebum in the observation sample bottle to the volume of the observation sample bottle is (0.5-2.5):20; more preferably, it is 1:20.

[0027] Preferably, the pigment in S3 is a water-soluble pigment.

[0028] Preferably, the water-soluble pigment is any one of orange, pink, red, blue, green, and purple; more preferably, it is red.

[0029] Preferably, the effective product is a blackhead removal liquid;

[0030] Preferably, the blackhead removal liquid is purchased from Ruwei Cosmetics (Suzhou) Co., Ltd.

[0031] Preferably, the volume ratio of the functional product to the pigment is 7-7.2:0.15; more preferably, it is 7:0.05.

[0032] Preferably, the amount of unstained artificial skin in the observation sample bottle in S3 is 1 to 1.2 g.

[0033] Preferably, in step S3, the volume ratio of unstained artificial sebum in the observation sample bottle to the volume of the observation sample bottle is (0.5-2.5):20; more preferably, it is 1:20.

[0034] Preferably, the artificial sebum in S2 and S3 is CF-007 from Dongguan Chuangfeng Automation Technology Co., Ltd.

[0035] Preferably, the cameras in S2 and S3 are two types of cameras, matching two observation modes.

[0036] Preferably, one of the observation modes involves using an infinity objective lens assembly in conjunction with a telephoto objective lens, combined with camera imaging, to observe the sebum dissolution rate at close range and capture local high-definition dynamic video.

[0037] Preferably, the second observation mode involves using a small tripod with a camera to observe the overall sebum dissolution and capture a high-definition dynamic video of the entire process.

[0038] Preferably, the device in S4 is a transmission light band scanning device.

[0039] In this invention, artificial sebum conforming to ASTM (American Society for Testing and Materials) standards is selected. Two types of pigments are used to stain the sebum and the functional product, respectively, to observe the sebum dissolution rate from two aspects. A purple oil-soluble pigment is used to determine the initial sebum dissolution rate and whiteness, while a red water-soluble pigment is used to measure the dissolved thickness of each sebum layer after dissolution equilibrium. This improves the accuracy and precision of the initial sebum dissolution rate detection method in this invention. The inventors unexpectedly discovered that using artificial sebum conforming to ASTM standards best simulates human skin. Furthermore, using purple oil-soluble pigment to determine the initial sebum dissolution rate and whiteness provides the clearest image captured by the camera, making it easiest to determine the sebum dissolution rate. The red water-soluble pigment, used to measure the dissolved thickness of each sebum layer after dissolution equilibrium, shows a clear contrast between red and white, allowing for a more precise measurement and more accurate prediction.

[0040] This invention employs an integrated system space, reducing the influence of external factors and improving the accuracy, scientific rigor, and sensitivity of predictions. The inventors discovered that by integrating a camera into the integrated system space, changes in external light are reduced, thereby increasing the tester's sensitivity to color changes. Simultaneously, maintaining a stable temperature prevents variations in sebum dissolution due to temperature differences. The entire integrated device space, coupled with precision instruments, reduces instrument damage while improving the accuracy and sensitivity of instrument measurements. This invention's detection method does not require prolonged use of the product by volunteers, allowing for the measurement of the product's effects in a short period.

[0041] Preferably, the specific process of (2) is as follows:

[0042] M1: Before using the product, a facial skin image analyzer was used to photograph the volunteer's nose; immediately after using the product, a skin image analyzer was used to photograph the volunteer's nose; after cleaning the blackheads that had surfaced on the skin, a skin image analyzer was used to photograph the volunteer's nose.

[0043] M2: Immediately after using the product, the appearance of blackheads was analyzed using the LAB color model based on the product's output. An L value between 70 and 85 indicates dissolved milky white blackhead sebum. The amount of dissolved blackhead sebum was counted and statistically analyzed. p < 0.05 indicates significance.

[0044] M3: Skin uniformity analysis was performed using the Mirror medical imaging system and the Image-ProPlus 7.0 (USA) image analysis system.

[0045] M4: The product's mildness was assessed using the Mirror medical imaging system and the Image-ProPlus 7.0 (USA) image analysis system.

[0046] Preferably, the volunteers are individuals aged 18-60 years old with noticeable blackheads on their noses and who are not sensitive to commonly used cosmetics.

[0047] Preferably, the test environment in M1 is a room temperature of 21℃±1℃ and a relative humidity of 40%±60%.

[0048] Preferably, the skin image analyzer is the VISIA-CR facial image analyzer from Canfield, Inc., USA.

[0049] Preferably, the VISIA-CR shooting process in M1 involves placing the face in the VISIA-CR device and capturing photos of the left and right faces under standard white light 2 (which reduces the influence of bright spots and shadows) and cross-polarized light.

[0050] In this invention, a VISIA-CR skin image analyzer is used to quantitatively analyze facial skin features. Spectral imaging technology is employed to assess skin surface color, wrinkles, and other conditions. The Mirror medical imaging system utilizes the Lab color model, which consists of three elements: luminance (L) and color-related parameters a and b. L represents luminance, a represents the range from red to green, and b represents the range from yellow to blue. By analyzing the L*a*b* values ​​of skin tone in the image, changes in various skin tone parameters can be obtained, improving the identification of blackheads.

[0051] Preferably, the L channel value after the blackheads are dissolved is 70-85, and the number of blackheads within this range is calculated.

[0052] Preferably, the mildness assessment is performed by obtaining a red area photo using the cross-polarized light source mode of a skin image analyzer, and then using the Lab color system, where L represents brightness, black to white, a represents green to red, and b represents blue to yellow, the analysis area of ​​the nose is selected, and the average a value of each pixel is calculated using software.

[0053] This invention employs the colorimetric system specified by the International Commission on Illumination (CIE) to measure skin color changes, thereby improving the scientific rigor of evaluating the efficacy of products. The inventors discovered that in the field of dermatology, doctors primarily rely on visual observation to identify skin color and skin lesions, and cannot accurately express color changes. In testing institutions, the assessment of blackheads is also based solely on visual evaluation and counting; even highly skilled doctors can only make subjective judgments. Therefore, the evaluation of blackhead improvement lacks objectivity and scientific rigor. This invention uses the colorimetric system specified by the CIE to measure skin color changes, thus improving the scientific rigor of evaluating the efficacy of products. The CIE provides a general definition of color, using hue, saturation, and lightness to distinguish colors. Any color is a combination of these three characteristics. Hue, also known as hue color, is the characteristic that distinguishes colors from each other, such as red, yellow, green, and blue. It determines the basic characteristics of color; different wavelengths of monochromatic light have different hues. The HSI color coordinate system is a three-dimensional color space based on the three axes of hue, saturation, and brightness. Using HSI to characterize the evenness of the skin improves the scientificity and accuracy of evaluating the efficacy of blackhead removal products.

[0054] Because the tips of blackheads are black, their color is significantly different from the skin around the nose. If blackheads are reduced, it means that the skin color on the nose will be more even. Therefore, the HUE of the Image-ProPlus 7.0 (USA) image analysis system is chosen to quantify the evenness of the skin and can clearly and objectively assess the amount of blackhead reduction.

[0055] Beneficial effects

[0056] 1. By selecting artificial sebum conforming to the ASTM (American Society for Testing and Materials) standard, and using two types of pigments to stain the oil and functional products respectively, the dissolution rate of the sebum can be observed from two aspects. Purple oil-soluble pigment is selected to determine the initial dissolution rate and whiteness of the sebum, while red water-soluble pigment is used to measure the dissolved thickness of each layer of sebum after dissolution equilibrium. This improves the accuracy of the detection method in this invention in detecting the initial dissolution rate of sebum and enhances the precision of the measurement.

[0057] 2. In this invention, an integrated device system is used, which reduces the influence of external factors and improves the accuracy, scientific nature and sensitivity of the prediction.

[0058] 3. In this invention, a color model system is used to measure changes in skin color, which improves the scientific rigor of evaluating the efficacy of products.

[0059] 4. This invention evaluates the efficacy of products simultaneously from both in vitro and human experimental perspectives. The results more closely reflect the performance of the products themselves, improving the scientific rigor and objectivity of the multi-dimensional prediction method. It can be used for the initial testing of a large number of efficacy products, shortening the overall testing time and cycle, and improving the efficiency of evaluation. Attached Figure Description

[0060] Figure 1 This is a schematic diagram of the integrated device system in Example 1;

[0061] Figure 2 This is a flowchart illustrating the integrated device system in Example 1;

[0062] Figure 3 The images show the results after the oil-soluble pigments in Examples 1-6 were added and allowed to stand for a period of time after reaching equilibrium. Figure 3 The figures in the middle, from left to right, are the results of Examples 2, 3, 4, 1, 5, and 6.

[0063] Figure 4 The images show the results after the water-soluble pigments in Examples 8-11 were added and allowed to stand for a period of time after reaching equilibrium. Figure 4 The figures in the middle, from left to right, are the results of Examples 1, 8, 9, 10, and 11.

[0064] Figure 5 The screenshots are taken at 0 min, 1 min, 3 min, 5 min, 10 min, and 15 min, respectively, using partial videos captured in Examples 1, 2, 3, 4, and 7. Figure 5 From left to right, the images show the sebum dissolution results of Examples 1, 4, 2, 7, and 3, in which oil-soluble pigments were added.

[0065] Figure 6 The screenshots are taken at 0 min, 1 min, 3 min, 5 min, 10 min, and 15 min, respectively, using partial videos captured in Examples 1, 8, and 10. Figure 6 From left to right, the images show the sebum dissolution in Examples 1, 8, and 10, where water-soluble pigments were added.

[0066] Figure 7 The sebum stratification is shown using the method of Example 1;

[0067] Figure 8 The results of blackhead dissolution and surfacing were obtained from 5 volunteers using the method in Example 1 (2).

[0068] Figure 9 Images showing the condition of blackheads on the skin of one volunteer before and after using the method in Example 1 (2). Detailed Implementation

[0069] Example 1

[0070] The first aspect of this embodiment provides a method for multi-dimensional predictive efficacy products to reduce open comedones, including the following steps:

[0071] (1) The sebum-dissolving performance of the product was judged by predicting the effect of the product on open comedones through an integrated device system.

[0072] (2) The skin of volunteers before, during and after using the efficacy product was photographed using a skin image analysis system. The dissolution of blackheads was analyzed using the Lab color model of the skin, and the efficacy of the efficacy product in removing blackheads before and after use was evaluated.

[0073] The camera system includes a receiver module and a track module. The receiver module contains two cameras to photograph the sample bottles being observed; the track module controls the movement of the cameras to determine the appropriate shooting distance.

[0074] The sample processing system includes a sample injection module, a sample placement module, and a lighting module. The sample injection module includes an automatic sample injection device that injects the efficacy product into the observation sample vial; the sample placement module serves as a platform for placing the sample; and the lighting module includes a light panel and a screen to place the observation sample vial in a suitable shooting environment.

[0075] The detection system includes a scanning module and a height measurement module. The scanning module measures and observes the whiteness of the sebum in the sample bottle after it has reached dissolution equilibrium; the height measurement module measures the height of each layer of sebum in the sample bottle after it has reached dissolution equilibrium.

[0076] The data recording and analysis system records and analyzes the data captured by the camera system and the whiteness of the grease and the height of each layer of grease detected by the detection system.

[0077] First, turn on the constant temperature and humidity system to control the temperature and humidity within the system. Then, set up the camera system, controlling the track module to fix the position of the camera in the display module. Inject the efficacy product into the observation sample bottle through the sample processing module, place it on the sample placement platform, and then set up the lighting module to position the observation sample bottle in a suitable shooting environment. The detection system measures the whiteness of the sebum after sebum dissolution equilibrium and the height of each sebum layer after sebum dissolution equilibrium. The data recording and analysis system records and analyzes the data captured by the camera system and the whiteness of the sebum and the height of each sebum layer detected by the detection system. See... Figure 1 , Figure 2 .

[0078] The specific process in (1) includes the following steps:

[0079] S1: Turn on the temperature and humidity control system;

[0080] S2: Sample processing and video recording system: The instrument extracts the efficacy product and injects it into the observation sample bottle. The observation sample bottle contains artificial sebum dyed with pigment. The observation sample bottle is placed on a lifting frame, the height is adjusted, and a camera is used to record dynamic video. (See attached image) Figure 5 ;

[0081] S3: Sample processing and video processing: The instrument extracts the dyed functional product and injects it into the observation sample bottle. The sample is observed to contain undyed artificial sebum. The observation sample bottle is placed on a lifting frame, the height is adjusted, and a camera is used to record dynamic video. (See attached image) Figure 6 ;

[0082] S4: Detection system scanning module processing: After observing the lipid dissolution equilibrium in the sample vial using device scanning S2 (see...) Figure 3 The whiteness of the product simulates the dissolution of sebum on the human nose after it comes into contact with the product.

[0083] S5: Detection system height measurement module processing: After S3 observation that the sebum dissolution in the sample vial has reached equilibrium (see...). Figure 4 The thickness of the top layer of sebum in the sample vial was measured using a height gauge to simulate the amount of sebum that can be scraped off a human nose. The measurement process is detailed below. Figure 7 .

[0084] The instruments in S2 and S3 are autosamplers.

[0085] The observation sample vial in S2 contains 1 mL of artificial sebum stained with pigment.

[0086] The pigment in S2 is an oil-soluble pigment.

[0087] The oil-soluble pigment is purple in color.

[0088] The specific process of artificial sebum staining in S2 is as follows: the artificial sebum is heated to 75°C, and when the artificial sebum reaches a fully melted and fluid state, the oil-soluble pigment is added, stirred evenly with a glass rod, and then placed in an observation sample bottle to stand and cool.

[0089] The volume ratio of artificial sebum to oil-soluble pigment in S2 is 1:0.05.

[0090] The efficacy product in S2 and S3 is 7 mL.

[0091] The pigment in S3 is a water-soluble pigment.

[0092] The water-soluble pigment is red in color.

[0093] The product described is a blackhead removal liquid;

[0094] The blackhead removal liquid was purchased from Ruwei Cosmetics (Suzhou) Co., Ltd.

[0095] The volume ratio of the functional product to the pigment in S3 is 7:0.05.

[0096] The observation sample vial in S3 contains 1 mL of unstained artificial sebum.

[0097] The artificial sebum used in S2 and S3 was purchased from Dongguan Chuangfeng Automation Technology Co., Ltd., model CF-007.

[0098] The sample vials used for observation in S2 and S3 are 20 mL in size.

[0099] The cameras in S2 and S3 are two types of cameras, matching two observation modes.

[0100] One of the observation modes involves using an infinity-corrected objective lens assembly in conjunction with a telephoto objective lens, along with camera imaging, to observe the sebum dissolution rate at close range and capture high-definition dynamic video of the local area.

[0101] The second observation mode involves using a small tripod with a camera to observe the overall sebum dissolution and capture a high-definition dynamic video.

[0102] The device in S4 is a transmission light band scanning device.

[0103] The specific process of (2) is as follows:

[0104] M1: Before using the product, the volunteers' noses were photographed using a skin image analyzer; immediately after using the product, the volunteers' noses were photographed using a skin image analyzer; after cleaning the blackheads that had surfaced on the skin, the volunteers' noses were photographed using a skin image analyzer.

[0105] M2: Immediately after using the product, the appearance of blackheads was analyzed using the LAB color model based on the product's output. An L value between 70 and 85 indicates dissolved milky white blackhead sebum. The amount of dissolved blackhead sebum was counted and statistically analyzed. p < 0.05 indicates significance.

[0106] M3: Using the Mirror medical imaging system and the Image-ProPlus 7.0 (USA) image analysis system, skin evenness analysis is performed; the Hue standard deviation before and after product use is calculated. The larger the Hue standard deviation before and after use, the greater the difference in skin evenness, indicating that the product has no blackhead removal effect; the smaller the Hue standard deviation before and after use, the smaller the difference in skin evenness, indicating that the product has a blackhead removal effect.

[0107] M4: Utilizing the Mirror medical imaging system and the Image-ProPlus 7.0 (USA) image analysis system, the product's mildness is assessed; the a* value of the red zone before and after product use is calculated. The smaller the a* value, the less erythema on the skin. A larger difference in the a* value before and after use indicates greater skin irritation from the product; a smaller difference indicates less skin irritation from the product; this characterizes the degree of skin irritation caused by the product.

[0108] The volunteers were individuals aged 18-60 with noticeable blackheads on their noses and who were not sensitive to commonly used cosmetics.

[0109] The test environment in M1 is a room temperature of 21℃±1℃ and a relative humidity of 40%±60%.

[0110] The skin image analyzer mentioned is the VISIA-CR facial image analyzer from Canfield, USA.

[0111] The VISIA-CR shooting process in M1 involves placing the face in the VISIA-CR device and capturing photos of the left and right faces under standard white light 2 (which reduces the effects of bright spots and shadows) and crosspolarized light.

[0112] The mildness assessment was performed by obtaining a red area photo using the cross-polarized light source mode of a skin image analyzer, and then using the Lab color system, where L represents brightness, black to white, a represents green to red, and b represents blue to yellow, the analysis area of ​​the nose was selected, and the average a value of each pixel was calculated using software.

[0113] Example 2

[0114] The specific implementation method of Example 2 is the same as that of Example 1, except that the oil-soluble pigment is yellow. The results are shown below. Figure 3 , Figure 5 .

[0115] Example 3

[0116] The specific implementation method of Example 3 is the same as that of Example 1, except that the oil-soluble pigment is cyan in color. The results are shown below. Figure 3 , Figure 5 .

[0117] Example 4

[0118] The specific implementation method of Example 4 is the same as that of Example 1, except that the oil-soluble pigment is blue. The results are shown below. Figure 3 , Figure 5 .

[0119] Example 5

[0120] The specific implementation of Example 5 is the same as that of Example 1, except that the oil-soluble pigment is red. The results are shown below. Figure 3 .

[0121] Example 6

[0122] The specific implementation of Example 6 is the same as that of Example 1, except that the oil-soluble pigment is orange in color. The results are shown below. Figure 3

[0123] Example 7

[0124] The specific implementation method of Example 7 is the same as that of Example 1, except that the oil-soluble pigment is pink. The results are shown below. Figure 5

[0125] Example 8

[0126] The specific implementation of Example 8 is the same as that of Example 1, except that the water-soluble pigment is pink. The results are shown below. Figure 4 , Figure 6 .

[0127] Example 9

[0128] The specific implementation of Example 9 is the same as that of Example 1, except that the water-soluble pigment is orange in color. The results are shown below. Figure 4 .

[0129] Example 10

[0130] The specific implementation of Example 10 is the same as that of Example 1, except that the water-soluble pigment is green. The results are shown below. Figure 4 , Figure 6 .

[0131] Example 11

[0132] The specific implementation of Example 11 is the same as that of Example 1, except that the water-soluble pigment is blue. The results are shown below. Figure 4 .

[0133] Performance testing

[0134] 1. Blackhead removal solutions were prepared with concentrations of 6%, 10%, 13%, and 16% of the active ingredient (the blackhead removal solution was purchased from Ruwei Company), and the dissolution of sebum, the amount of dissolution, and the whiteness of dissolution were tested using the method used in Example 1; the results are shown in Table 1; as can be seen from Table 1, the formula with 30% addition had the best effect on dissolving artificial sebum;

[0135] 2. Using the expert counting method, the four concentrations of the formula were tested on humans, with 20 volunteers participating in each test. Before the test, the experts visually inspected and counted the blackheads on the volunteers' noses. After cleansing, a hot towel was applied to the nose, and the blackhead-removing liquid was applied to the bio-cellulose membrane and placed on the nose. After 15 minutes, the membrane was removed, and the blackheads were scraped off with a cotton swab. After cleaning, the number of blackheads on the nose was counted. After the test, the results were statistically analyzed, and the results are shown in Table 2.

[0136] 3. The formula with 30% addition was tested on 20 volunteers.

[0137] Expert Counting Method: Twenty volunteers participated in the experiment. Before the test, experts visually inspected and counted the blackheads on the volunteers' noses. After cleansing, a hot towel was applied to the nose, and a blackhead-removing solution was applied to a bio-cellulose membrane and placed on the nose. After 15 minutes, the membrane was removed, and the blackheads were scraped off with cotton swabs. After cleaning, the number of blackheads on the nose was counted. The results were then statistically analyzed.

[0138] Twenty volunteers were tested using the method described in Example 1 (2). Before the test, volunteers took photos of their noses with blackheads. After cleansing, they applied a hot towel to their noses, applied the blackhead removal patch, waited 15 minutes, removed the patch, and then took another photo of their noses. The blackheads were then scraped off with cotton swabs. After cleaning, the noses were photographed again. Image Pro Plus image analysis software was used to analyze the blackhead L value, red area a value, and Hue value in the photos, and the results were statistically analyzed. The results are shown in Table 3: Mildness before and after using the blackhead removal patch (red area value, the lower the rate of change, the better). Figure 8 Table 4 shows the results of blackhead dissolution and surfacing after exporting from 5 volunteers. The blackhead reduction effect before exporting and after scraping is shown in Table 4. (Hue value, the lower the rate of change, the better. Skin uniformity deviation value = after use - before use. The more negative the value, the more uniform the skin tone and the better the blackhead improvement effect.)

[0139] Spearman correlation coefficient (r) analysis was used to analyze the correlation between the difference before and after use and the difference before and after use using the expert counting method. The results showed a positive correlation (p < 0.05), indicating that the results are relevant to the actual situation and have strong repeatability.

[0140] Spearman's correlation coefficient was used to analyze the correlation between expert evaluation and the method described in this invention. The results, as shown in Table 5, show a significant positive correlation between the results of the method described in this invention and the expert evaluation results (p<0.05), with a correlation coefficient of 0.986.

[0141] Table 1

[0142]

[0143]

[0144] Table 2

[0145]

[0146] Table 3

[0147]

[0148] Table 4

[0149] Test time point Before export After scraping Difference Hue average 16.24 14.53 -1.71 Standard deviation 2.41 2.98 rate of change -10.53％

[0150] Table 5

[0151] Correlation

[0152]

[0153] **. The correlation is significant at the 0.01 level (two-tailed).

Claims

1. A method of fading open comedones with a multidimensional, predictive efficacy product, characterized in that, It comprises the following steps: (1) The method for predicting the efficacy product's ability to fade open comedones by the integrated device system, judging the efficacy product's sebum dissolving performance; (2) The skin condition of the volunteers before and after using the efficacy product is photographed by the skin image analysis system, the sebum dissolving condition is analyzed by the Lab color model of the skin, and the efficacy of removing blackheads before and after using the efficacy product is evaluated; The specific process of (1) comprises the following steps: S1: Turn on the constant temperature and humidity system; S2: Sample processing system, camera system processing: use the instrument to extract the efficacy product and inject it into the observation sample bottle, the observation sample bottle contains artificial sebum dyed with pigment, place the observation sample bottle on the lifting frame, adjust the height, equip the camera, and shoot the dynamic video; S3: Sample processing system, camera system processing: use the instrument to extract the pigment-dyed efficacy product and inject it into the observation sample bottle, the observation sample bottle contains artificial sebum that has not been dyed, place the observation sample bottle on the lifting frame, adjust the height, equip the camera, and shoot the dynamic video; S4: Detection system scanning module processing: use the device to scan the whiteness of the sebum dissolved in the S2 observation sample bottle after reaching equilibrium, simulate the condition of the sebum dissolved after the human nose sebum contacts with the efficacy product; S5: Detection system height measurement module processing: after the sebum in the S3 observation sample bottle is dissolved to reach equilibrium, use the height ruler to measure the thickness of the uppermost sebum in the observation sample bottle, simulate the amount of sebum that can be scraped off from the human nose. The integrated device system comprises a constant temperature and humidity control system, a camera system, a sample processing system, a detection system, a data recording and analysis system.

2. The method of claim 1, wherein the multi-dimensional, predictive efficacy product fade open comedones is characterized by, The pigment of the observation sample bottle in S2 is an oil-soluble pigment; the color of the oil-soluble pigment includes any one of purple, yellow, green, blue, orange, red, and pink.

3. The method of claim 1, wherein the multi-dimensional, predictive efficacy product fade open comedones is characterized by, The specific process of artificial sebum dyeing in S2 is as follows: heat the artificial sebum to 75-80℃, when the artificial sebum appears a fully melted and flowing state, add the oil-soluble pigment, stir it evenly with a glass rod, and then pour it into the observation sample bottle for cooling.

4. The method of claim 1, wherein the multi-dimensional, predictive efficacy product fade open comedones is characterized by, The pigment in S3 is a water-soluble pigment; the color of the water-soluble pigment includes any one of orange, pink, red, blue, green, and purple.

5. The method of claim 1, wherein the multi-dimensional, predictive efficacy product fade open comedones is characterized by, The efficacy product is a blackhead leading-out liquid.

6. The method of claim 1, wherein the multi-dimensional, predictive efficacy product fade open comedones is characterized by, The specific process of (2) is as follows: M1: Before using the efficacy product, use the facial skin image analyzer to take pictures of the volunteer's nose; immediately after using the efficacy product, use the skin image analyzer to take pictures of the volunteer's nose; after cleaning the blackheads on the surface of the skin, use the skin image analyzer to take pictures of the volunteer's nose; M2: Immediately after using the efficacy product, analyze the LAB color model of the blackheads according to the blackheads led out by the efficacy product, the L value between 70-85 indicates that the dissolved blackheads are milky white, count the number of dissolved blackheads, and perform statistical analysis, p<0.05 indicates significance; M3: Use the Mirror medical imaging system and the Image-ProPlus7.0 (USA) image analysis system to analyze the skin uniformity; M4: Mildness evaluation of the product was performed using the Mirror medical imaging system and Image-Pro Plus 7.0 (USA) image analysis system.

7. The method of claim 6, wherein the multi-dimensional, predictive efficacy product fade open comedones is characterized by, The skin image analyzer is VISIA-CR facial image analyzer of Canfield Company in the United States.

8. A method of fading open comedones with a multidimensional, predictive efficacy product according to any one of claims 1 to 7, characterized in that, It is applied to evaluate the efficacy of dissolving blackhead sebum of the blackhead-removing product during use and the efficacy of removing blackheads after using the product.

Images