Oil-controlling and acne-removing composition based on artificial intelligence screening and screening method

Abstract

The invention discloses an oil-controlling and acne-removing composition based on artificial intelligence screening and a screening method, the oil-controlling and acne-removing composition with specific components and proportions is screened based on artificial intelligence, and the oil-controlling and acne-removing composition comprises syringin, a white willow bark extract, dipotassium glycyrrhizinate, quaternary ammonium salt-73 and the like. The composition can be applied to cosmetics such as toning lotion and essence, and has remarkable effects in the aspects of removing acnes, controlling oil, reducing pigmentation and the like. The composition is obtained through the following steps that on the basis of the user constraint conditions, to-be-screened information is obtained through a generative artificial intelligence model, and the to-be-screened information comprises a plurality of combination schemes containing a plurality of components; inputting the information to be screened into a trained prediction model, and predicting each combination scheme in the prediction model; and based on a prediction result of the prediction model, taking the combination scheme meeting the screening condition as the screened oil-controlling and acne-removing composition. Compared with a traditional method, the method is high in efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of cosmetics, and in particular to an oil control and acne removal composition and a screening method based on artificial intelligence screening. Background Art

[0002] Acne, commonly known as "pimples", is scientifically known as acne vulgaris. It is a common chronic dermatological disease that often occurs on the chin, forehead and cheeks of the face. In the past, acne was more common in adolescents. During adolescence, the hormone level of the human body rises sharply, stimulating the sebaceous glands to secrete a large amount of sebum, blocking the hair follicles and causing acne. After adolescence, the hormone level is stable and the symptoms can heal themselves. Nowadays, society and life patterns have changed drastically, and the incidence of acne in young people has changed. On the one hand, the fast pace has given rise to bad eating habits, and high-calorie, high-sugar, high-fat and spicy foods are consumed excessively; on the other hand, staying up late and having a chaotic work and rest schedule have become the norm, coupled with multiple pressures from the workplace, socializing, and studying, resulting in endocrine disorders and drastic hormone fluctuations, breaking the stable hormone state after adolescence. Therefore, acne is no longer just a problem for adolescents, but also for people aged 25 and above. This type of people is in the critical period of anti-aging. They have to fight skin aging and overcome the problem of acne. The difficulty of care has increased dramatically, and they are in urgent need of innovative and effective targeted skin care solutions.

[0003] At present, the traditional cosmetic formula development method has many disadvantages. First, it is inefficient and relies on manual experiments. The steps from raw material matching to performance testing are cumbersome and time-consuming. The launch cycle of new products can take months or even longer. Second, it is costly. The long process brings high labor costs, as well as a large amount of raw materials, equipment and site costs, which are too much for small and medium-sized enterprises. Third, it is highly subjective and has large errors. Formulas designed based on the experience of R&D personnel are prone to omissions or unreasonableness. Manual sensory evaluation is subject to subjective influences and data accuracy is poor. Fourth, data integration is poor, experimental data is isolated, it is difficult to analyze the relationship between ingredients, knowledge inheritance is difficult, and it is easy to waste resources. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that the above-mentioned traditional cosmetic formula development method has many drawbacks, and to provide an oil control and acne removal composition and screening method based on artificial intelligence screening, which solves the problem of acne skin and delayed aging in the initial anti-aging population.

[0005] To achieve the above objectives, this application is implemented through the following technical solutions:

[0006] The present application provides an oil control and acne removal composition based on artificial intelligence screening, which comprises the following components in parts by mass:

[0007]

[0008] As a further improvement of the present application, the mass ratio of the syringin to the white willow bark extract is 0.5-2.

[0009] As a further improvement of the present application, the mass ratio of syringin to dipotassium glycyrrhizinate is 1 to 10.

[0010] To achieve the above objectives, the present application also provides an application of an oil control and acne removal composition based on artificial intelligence screening in the preparation of an oil control and acne removal cosmetic composition.

[0011] As a further improvement of the present application, the cosmetic composition is a lotion, an essence, a gel or a facial mask.

[0012] To achieve the above objectives, the present application also provides an oil-control and acne-removing cosmetic composition, including the above-mentioned oil-control and acne-removing composition based on artificial intelligence screening.

[0013] As a further improvement of the present application, at least one of a polyol, a humectant, a thickener, a preservative, and a pH adjuster may also be included.

[0014] As a further improvement of the present application, the composition may include, by parts by mass:

[0015]

[0016] As a further improvement of the present application, the pH value of the composition is 4-6.

[0017] As a further improvement of the present application, the polyol is selected from any one or a combination of at least two of glycerol, butylene glycol, 1,3-propylene glycol, dipropylene glycol, and methylpropanediol; the moisturizer is any one or a combination of at least two of glycerol polyether-26, sodium hyaluronate, biosaccharide gum-1, sodium polyglutamate, D-panthenol, and ectoine; the thickener is selected from any one or a combination of at least two of xanthan gum, carbomer, hydroxyethyl cellulose, ammonium acryloyldimethyltaurate / VP copolymer, hydroxyethyl acrylate / sodium acryloyldimethyltaurate copolymer, polyacrylate crosspolymer-6, and acrylic acid (ester) / C10-30 alkyl acrylate crosspolymer; the preservative is selected from two or three of phenoxyethanol, p-hydroxyacetophenone, 1,2-hexanediol, 1,2-pentanediol, caprylyl glycol, and ethylhexylglycerin; the pH adjuster is selected from any one or a combination of at least two of citric acid, tromethamine, and arginine.

[0018] To achieve the above purpose, the present application also provides a method for screening the above-mentioned oil control and acne removal composition based on artificial intelligence, comprising the following steps:

[0019] Obtain user constraints; based on the user constraints, use a generative artificial intelligence model to obtain information to be screened, wherein the information to be screened includes multiple combination schemes including multiple components;

[0020] The information to be screened is input into a trained prediction model, and prediction is performed on each combination scheme therein; based on the prediction results of the prediction model, the combination scheme that meets the screening conditions is used as the screened oil control and acne removal composition.

[0021] The beneficial effect of the present application is that the present application provides an oil control and acne removal composition based on artificial intelligence screening and a method for screening the above-mentioned oil control and acne removal composition based on artificial intelligence. Compared with the traditional formula development method, the method for screening the composition based on artificial intelligence can effectively shorten the research and development cycle, reduce the research and development cost, avoid complicated and repetitive manual experiments, and improve the research and development efficiency.

[0022] The oil control and acne removal composition developed in the present application can effectively reduce skin inflammation while fighting aging and antioxidant, gently control oil and remove acne, and effectively solve the acne skin problems that occur in people who are just starting to fight aging.

[0023] After the composition developed in the present application is applied to cosmetics, long-term use can effectively reduce skin inflammation and pigmentation, regulate skin oil content, and reduce acne. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 Comparison of brown pigmentation of volunteer 1 before use (left picture) and 28 days after use (right picture) after using the essence of Example 1.

[0025] Figure 2 Comparison of brown pigmentation of volunteer 2 before use (left picture) and 28 days after use (right picture) after using the essence of Example 1.

[0026] Figure 3 VISIA acne a value before and after using the essence of Example 1.

[0027] Figure 4 The skin oil content before and after using the essence of Example 1.

[0028] Figure 5 This is the clinician assessment (IGA) of the serum of Example 1 before and after use.

[0029] Figure 6 This is a schematic diagram of the process for screening the composition provided in Example 8. DETAILED DESCRIPTION

[0030] The following will be combined with the embodiments of the present application to clearly and completely describe the technical solution of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0031] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with specific implementation methods.

[0032] Example 1

[0033] This embodiment provides an oil control and acne removal composition based on artificial intelligence screening, which includes the following components in parts by mass:

[0034] Table 1-1

[0035]

[0036]

[0037] Among them: the polyol includes 4 parts of glycerol and 3 parts of butylene glycol; the moisturizer includes 1 part of glyceryl polyether-26, 0.05 parts of sodium hyaluronate, 1 part of biosaccharide gum-1, 0.05 parts of sodium polyglutamate, 0.5 parts of D-panthenol, and 0.1 parts of ectoine; the thickener includes 0.1 parts of xanthan gum and 0.2 parts of carbomer; the preservative includes 0.5 parts of p-hydroxyacetophenone, 0.5 parts of 1,2-hexanediol, and 0.05 parts of ethylhexylglycerin; the pH adjuster includes 0.16 parts of tromethamine.

[0038] The oil control and acne removal composition based on artificial intelligence screening of this embodiment is prepared by the following method:

[0039] (1) Deionized water, glycerin, butylene glycol, quaternary ammonium salt-73, sodium hyaluronate, sodium polyglutamate, xanthan gum, carbomer, glyceryl polyether-26, ectoine, D-panthenol, and p-hydroxyacetophenone are mixed, stirred and heated to 80-85° C. until the mixture is completely dissolved without particles, kept at this temperature for 30 minutes, and then cooled, which is recorded as phase A;

[0040] (2) pre-dispersing deionized water and tromethamine as phase B;

[0041] (3) When the temperature of phase A drops below 45°C, add the pre-dispersed phase B and dissolve it completely;

[0042] (4) Add willow bark extract, syringin, dipotassium glycyrrhizinate, biosaccharide gum-1, 1,2-hexanediol and ethylhexylglycerol, i.e., the raw materials in phase C, in sequence, stir and disperse until there are no particles, let stand at room temperature and then discharge the material to obtain an essence with oil-controlling and acne-removing effects.

[0043] Example 2

[0044] The difference between this embodiment and embodiment 1 is that, in parts by mass, the parts by mass of each component in the composition are slightly different, as shown in Table 1-2 below.

[0045] Table 1-2

[0046]

[0047]

[0048] Among them: the polyol includes 3 parts of glycerol and 2 parts of butylene glycol; the moisturizer includes 0.4 parts of glyceryl polyether-26, 0.04 parts of sodium hyaluronate, 0.3 parts of biosaccharide gum-1, 0.06 parts of sodium polyglutamate, 0.1 parts of D-panthenol, and 0.1 parts of ectoine; the thickener includes 0.04 parts of xanthan gum and 0.06 parts of carbomer; the preservative includes 0.2 parts of p-hydroxyacetophenone, 0.2 parts of 1,2-hexanediol, and 0.1 parts of ethylhexylglycerin; the pH adjuster includes 0.1 parts of tromethamine.

[0049] Example 3

[0050] The difference between this embodiment and embodiment 1 is that, in parts by mass, the parts by mass of each component in the composition are slightly different, as shown in Tables 1-3 below.

[0051] Table 1-3

[0052]

[0053]

[0054] Among them: the polyol includes 12 parts of glycerol and 8 parts of butylene glycol; the moisturizer includes 2 parts of glyceryl polyether-26, 0.4 parts of sodium hyaluronate, 1 part of biosaccharide gum-1, 0.6 parts of sodium polyglutamate, 0.5 parts of D-panthenol, and 0.5 parts of ectoine; the thickener includes 0.4 parts of xanthan gum and 0.6 parts of carbomer; the preservative includes 1.2 parts of p-hydroxyacetophenone, 0.6 parts of 1,2-hexanediol, and 0.2 parts of ethylhexylglycerin; the pH adjuster includes 1 part of tromethamine.

[0055] Example 4

[0056] The difference between this embodiment and embodiment 1 is that, in parts by mass, the parts by mass of each component in the composition are slightly different, as shown in Tables 1-4 below.

[0057] Table 1-4

[0058] Component name Mass Quaternary ammonium salt-73 0.003 copies White Willow Bark Extract 2 servings Syringin 1 serving Dipotassium glycyrrhizinate 0.1 part Polyols 7 servings Moisturizer 2.7 servings Thickener 0.3 parts preservative 1.05 servings pH Adjusters 0.16 Deionized water 85.587 copies

[0059] Among them: the polyol includes 4 parts of glycerol and 3 parts of butylene glycol; the moisturizer includes 1 part of glyceryl polyether-26, 0.05 parts of sodium hyaluronate, 1 part of biosaccharide gum-1, 0.05 parts of sodium polyglutamate, 0.5 parts of D-panthenol, and 0.1 parts of ectoine; the thickener includes 0.1 parts of xanthan gum and 0.2 parts of carbomer; the preservative includes 0.5 parts of p-hydroxyacetophenone, 0.5 parts of 1,2-hexanediol, and 0.05 parts of ethylhexylglycerin; the pH adjuster includes 0.16 parts of tromethamine.

[0060] Example 5

[0061] The difference between this embodiment and embodiment 1 is that, in parts by mass, the parts by mass of each component in the composition are slightly different, as shown in Tables 1-5 below.

[0062] Table 1-5

[0063] Component name Mass Quaternary ammonium salt-73 0.003 copies White Willow Bark Extract 0.5 serving Syringin 1 serving Dipotassium glycyrrhizinate 0.3 parts Polyols 7 servings Moisturizer 2.7 servings Thickener 0.3 parts preservative 1.05 servings pH Adjusters 0.16 Deionized water 85.587 copies

[0064] Among them: the polyol includes 4 parts of glycerol and 3 parts of butylene glycol; the moisturizer includes 1 part of glyceryl polyether-26, 0.05 parts of sodium hyaluronate, 1 part of biosaccharide gum-1, 0.05 parts of sodium polyglutamate, 0.5 parts of D-panthenol, and 0.1 parts of ectoine; the thickener includes 0.1 parts of xanthan gum and 0.2 parts of carbomer; the preservative includes 0.5 parts of p-hydroxyacetophenone, 0.5 parts of 1,2-hexanediol, and 0.05 parts of ethylhexylglycerin; the pH adjuster includes 0.16 parts of tromethamine.

[0065] Comparative Example 1

[0066] The difference between this comparative example and Example 1 is that neither quaternary ammonium salt-73, white willow bark extract, syringin, nor dipotassium glycyrrhizinate is contained in the composition and the preparation method.

[0067] Example 6: Stability Test

[0068] Test substances: the essences of Examples 1 to 5 and Comparative Example 1 (blank).

[0069] Place the test objects at 25°C, 45°C, light, -5°C, and -18°C for 30 days respectively. Check and observe the properties of the test objects under various conditions before and after storage and record them to determine whether the odor of the samples has changed, whether the appearance is uniform and stable, whether there is any color difference, whether there is any texture change, whether there is any crystal precipitation, etc. The test results are recorded in Table 2.

[0070] Table 2

[0071] Group 25℃ 45℃ illumination -5℃ -18℃ Example 1 normal normal normal normal normal Example 2 normal normal normal normal normal Example 3 normal normal normal normal normal Example 4 normal normal normal normal normal Example 5 normal normal normal normal normal Comparative Example 1 (blank) normal normal normal normal normal

[0072] As can be seen from Table 2, the product of Comparative Example 1 (blank) is stable when placed under 25°C, 45°C, light, -5°C, and -18°C for 30 days, indicating that the ingredients of Comparative Example 1 (blank) are stable.

[0073] Example 1-Example 5 After adding syringin, quaternary ammonium salt-73, dipotassium glycyrrhizate and white willow bark extract together on the basis of blank, it can be observed that the various properties are still stable, so the system has good stability.

[0074] Example 7: Efficacy Test

[0075] Test substances: the essences of Examples 1 to 5 and Comparative Example 1 (blank).

[0076] Test method: refer to "T / TDCA 004-2021 Test method for anti-acne efficacy of cosmetics", "Evaluation of cosmetic efficacy (ⅩⅢ)-Consumer use test_Liu Weiyi", "Application of sensory evaluation and instrument testing in cosmetics evaluation_Xue Zhen".

[0077] 150 volunteers who met the inclusion criteria were selected to participate in the experiment, and all volunteers were randomly divided into 5 groups, each with 30 people. Each group of volunteers tried Examples 1 to 5 and Comparative Example 1 (blank).

[0078] The inclusion criteria for volunteers are: Chinese men or women aged 18-60 years old, healthy; with acne level 1-2 on the face, and skin oil content greater than 100μg / cm 2 (before cleaning); those who can cooperate well with the experiment; those who can read and understand the experimental process and sign the informed consent in writing; those who can promise to complete the specified content according to the requirements of the test plan.

[0079] Exclusion criteria: those who have tried antihistamines in the past week or used immunosuppressants in the past month; those who have used any anti-inflammatory drugs on the test site in the past two months; subjects with inflammatory skin diseases that have not been cured clinically; patients with insulin-dependent diabetes; patients with asthma or other chronic respiratory diseases being treated; those who have received anti-cancer chemotherapy in the past 6 months; patients with immunodeficiency or autoimmune diseases; breastfeeding or pregnant women; those who have undergone bilateral mastectomy and bilateral axillary lymph node resection; those whose skin test sites have scars, pigments, atrophy, port wine stains, uneven skin color, folliculitis or other blemishes that affect the judgment of the test results; those participating in other clinical trial researchers; those with highly sensitive constitutions; non-voluntary participants or those who cannot complete the specified content as required by the trial.

[0080] Termination and exit criteria: Those who fail to apply the test samples according to the test requirements or fail to make follow-up records as required during the trial; those who suffer from serious diseases or experience serious adverse reactions during use.

[0081] The subjects cleansed their faces with a facial cleanser and dried their skin with a dry facial tissue, and sat quietly in a laboratory at a temperature of 21±1℃ and 50±10RH for 30min; laboratory technicians operated VISIA and Sebumeter instruments to measure relevant indicators of the observed parts of the subjects; doctors conducted clinical evaluations of various skin lesions (acne, papules, pustules, nodules, cysts) on the subjects' faces, and evaluated the skin lesion score of each subject; and obtained the skin data of each volunteer before use.

[0082] After cleansing their faces every morning and evening, the volunteers used the corresponding test samples of each group according to the instructions for use for 28 consecutive days. A follow-up visit was conducted every 14 days to collect data and receive samples to obtain the skin data of each volunteer after use.

[0083] During the test, instrument testing and image capture should be carried out under environmental conditions of 21±1℃ and 50±10%RH, and all subjects should sit still and balance in this environmental condition for at least 30 minutes before starting evaluation and testing.

[0084] Based on the skin data of each volunteer before and after use, the increase and decrease ratios before use, 14 days of use, and 28 days of use were calculated.

[0085] Figure 1 Comparison of brown pigmentation of volunteer 1 before use (left picture) and 28 days after use (right picture) after using the essence of Example 1.

[0086] Figure 2 Comparison of brown pigmentation of volunteer 2 before use (left picture) and 28 days after use (right picture) after using the essence of Example 1.

[0087] Figure 3 VISIA acne a value before and after using the essence of Example 1.

[0088] Figure 4 The skin oil content before and after using the essence of Example 1.

[0089] Figure 5 This is the clinician assessment (IGA) of the serum of Example 1 before and after use.

[0090] The test results are shown in Tables 3-6 below;

[0091] Table 3

[0092]

[0093] Table 3 shows the test results of the VISIA acne a values ​​of Examples 1-5 and Comparative Example 1 (blank). The larger the a value, the more severe the skin inflammation. Combining Table 3, it can be seen that the VISIA acne a values ​​obtained by using Examples 1-5 are smaller than those of Comparative Example 1 (blank), so Examples 1-5 have better acne removal effects.

[0094] Table 4

[0095]

[0096]

[0097] Table 4 shows the test results of the skin oil content of Examples 1-5 and Comparative Example 1 (blank). The larger the value, the more skin oil content. Combined with Table 4, it can be seen that the skin oil content obtained by using Examples 1-5 is overall smaller, so Examples 1-5 have better oil control effects.

[0098] Table 5

[0099]

[0100] Table 5 shows the doctor's clinical evaluation (IGA) results of Examples 1-5 and Comparative Example 1 (blank). The larger the skin lesion value (IGA), the more severe the acne. Combining Table 5, it can be seen that the larger the skin lesion value (IGA) obtained by using Examples 1-5 is, the smaller it is overall. Therefore, Examples 1-5 have better skin lesion improvement effects.

[0101] Table 6

[0102]

[0103]

[0104] *Evaluation index: 1 point is "very dissatisfied", 2 points are "unsatisfied", 3 points are "average", 4 points are "satisfied", 5 points are "very satisfied", and the percentage of people with N≥4 points is counted.

[0105] *Number of people counted = 30.

[0106] Table 6 shows the self-assessment of the subjects after using Examples 1 to 5 and Comparative Example 1 (blank) for 28 days.

[0107] In summary, combined with the Figure 1-5 As shown in Tables 3-6, it can be seen that the technical solutions of Examples 1 to 5 have excellent acne removal and oil control effects and a good user experience.

[0108] The patients were recruited to have grade 1-2 facial acne (according to the modified Pillsbury 4-grade grading system for acne: grade I is mainly comedones with a small number of papules and pustules, with a total number of lesions less than 30; grade II is comedones with moderate papules and pustules, with a total number of lesions of 31-50; grade III is a large number of papules and pustules, with a total number of lesions of 50-100 and less than 3 nodules; grade IV is nodular / cystic acne or aggregated acne with a total number of lesions greater than 100 and more than 3 nodules / cysts) and a lipid content greater than 100 μg / cm 2 After Chinese healthy male or female subjects (before cleansing) used the essence of Example 1 for 28 days, it can be seen from the efficacy results of Example 7 that the essences of Examples 1-5 have the following effects: acne removal, oil control, etc.

[0109] Example 8

[0110] See also Figure 6 , Figure 6 This is a schematic diagram of the process for screening the composition provided in this example.

[0111] This embodiment provides a method for screening the oil control and acne removal composition described in any one of the above embodiments based on artificial intelligence, that is, a composition screening method, comprising the following steps:

[0112] S101, obtaining user constraints; based on the user constraints, using a generative artificial intelligence model to obtain information to be screened, wherein the information to be screened includes multiple combination schemes including multiple components;

[0113] S102, inputting the information to be screened into a trained prediction model, and predicting each combination scheme therein; based on the prediction results of the prediction model, taking the combination scheme that meets the screening conditions as the screened oil control and acne removal composition.

[0114] Compared with traditional formula development methods, the formula development method based on artificial intelligence screening can effectively shorten the R&D cycle, reduce R&D costs, avoid complicated and repetitive manual experiments, and improve R&D efficiency.

[0115] Specifically, the combination regimen is a composition regimen that includes quaternary ammonium salt-73, white willow bark extract, syringin, and dipotassium glycyrrhizinate.

[0116] As an example, the prediction results of the prediction model are displayed in the form of scores, such as A, A+, 80, 78, 60, A, B, C, etc. The screening condition is, for example, to use the combination schemes that meet A and A+ as the screened oil control and acne removal composition, or to use the combination schemes with scores above 80 as the screened oil control and acne removal composition.

[0117] As an example, the training process of a prediction model includes:

[0118] Acquire a training set, wherein the training set includes a plurality of training data, each of the training data includes a combination scheme and labeled data of preset parameters corresponding to the combination scheme;

[0119] For each training data in the training set, perform the following processing:

[0120] Inputting the combination scheme in the training data into a preset deep learning model to obtain prediction data of preset parameters corresponding to the combination scheme;

[0121] Based on the prediction data and the annotation data of the preset parameters corresponding to the combination scheme, the model parameters of the deep learning model are updated;

[0122] Detect whether the preset training end condition is met; if so, use the trained deep learning model as the prediction model; if not, continue to train the deep learning model using the next training data.

[0123] Therefore, by designing, establishing an appropriate amount of neuron computing nodes and a multi-layer operation hierarchy, and selecting appropriate input and output layers, a preset deep learning model can be obtained. Through the learning and tuning of the deep learning model, a functional relationship from input to output is established. Although it is impossible to find the functional relationship between input and output 100%, it can be as close to the actual correlation as possible. The prediction model trained in this way can obtain the corresponding output data based on the input data. It has a wide range of applications, and the calculation results are highly accurate and reliable.

[0124] As a further improvement of the present application, user constraints include project expected efficacy constraints, skin type constraints (applicable skin type constraints), product dosage form preference constraints and safety and compatibility constraints.

[0125] The expected efficacy constraints of the project may include but are not limited to skin anti-aging and anti-oxidation, oil control, acne removal, etc.

[0126] As a further improvement of the present application, the skin type constraint may be, but is not limited to, common skin types such as oily, combination, and acne-prone skin.

[0127] In an optional embodiment, the product dosage form preference constraint may be, but is not limited to, essence, emulsion, etc.

[0128] As an example, a method for screening oil control and acne removal compositions based on artificial intelligence is provided, comprising:

[0129] Step 1: Use IngredientAI to preliminarily screen the ingredients of the composition.

[0130] Select IngredientAI's generative artificial intelligence model, perform project initialization and parameter setting, and determine user constraints.

[0131] Create a "multi-functional composition screening project for anti-aging, oil control and acne treatment", and use user constraints to describe the expected efficacy constraints of the project, applicable skin type constraints (covering common skin types such as oily, mixed, and sensitive acne-prone skin), and product dosage form preference constraints (such as essence or lotion dosage form), to guide the software algorithm to focus on the core goals. The parameter setting can include the following efficacy-driven screening settings to reflect the expected efficacy constraints of the project:

[0132] For anti-aging and anti-oxidation, check the options related to enhancing the intracellular antioxidant defense system, including upregulating the expression of key antioxidant enzyme genes such as superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GSH-Px), and promoting functional modules related to fibroblast proliferation and collagen synthesis; set up screening for ingredients that can regulate cellular redox signaling pathways, such as activating the Nrf2-ARE signaling pathway, to enhance the skin's own antioxidant and repair functions, and delay the aging process at the cellular level.

[0133] For oil control, in the sebum secretion regulation area, precisely set and screen ingredients that inhibit the activity of key enzymes in lipid synthesis in sebaceous gland cells (such as acetyl-CoA carboxylase and 5α-reductase). At the same time, the selected ingredients are required to help regulate the lipid arrangement between stratum corneum cells, optimize the skin barrier function, prevent excessive oil secretion due to damaged barrier, and achieve long-term stability of the skin's water-oil balance.

[0134] For acne removal, we focus deeply on the pathogenesis of acne and set strong antibacterial screening conditions for common pathogenic bacteria such as Propionibacterium acnes and Staphylococcus aureus. The ingredients are required to interfere with bacterial cell wall synthesis, destroy cell membrane integrity or inhibit bacterial protein synthesis. In combination with the acne inflammation and repair process, we screen active substances that can inhibit the activation of inflammatory signaling pathways (such as the NF-κB signaling pathway), promote the remodeling of the extracellular matrix around hair follicles, and reduce scar formation, so as to deal with acne problems from all aspects.

[0135] At the same time, user constraints also include safety and compatibility constraints. From the perspective of safety and compatibility, the product strictly follows the international cosmetic raw material safety standards (such as the EU Cosmetics Regulation (EC) No1223 / 2009, the U.S. Food and Drug Administration (FDA) Cosmetic Ingredient Guidelines, etc.), and excludes ingredients with genotoxicity, carcinogenicity, reproductive toxicity, and high sensitization risks; intelligent analysis of ingredient compatibility is enabled, and considering the differences in the chemical properties of the four target ingredients, it is ensured that the selected ingredients will not undergo chemical reactions such as precipitation, discoloration, and loss of activity under different pH ranges (4.5-6.5 is a suitable pH range for the skin surface) and temperature conditions (simulating product storage and use environment temperature fluctuations), thereby ensuring the chemical stability and safety of the composition. Step 1 can generate information to be screened, and the information to be screened includes, for example, combination scheme 1, combination scheme 2, combination scheme 3...combination scheme N, where N is an integer greater than 100, and each combination scheme includes multiple components.

[0136] Step 2: Use the predictive model for in-depth optimization and screening.

[0137] First, data fusion and expansion are performed, and the preliminary screening results exported by IngredientAI are imported according to the data format of the prediction model (such as TheGoodFace). With the help of the multivariate data fusion engine, the internal massive cosmetic formula case library, the global multi-center clinical efficacy test big data, and the real-time updated consumer skin quality feedback information are integrated to examine the synergistic possibility of the target composition and multiple ingredients from a broader perspective, explore potential synergistic paths, and expand the optimization boundaries.

[0138] The prediction model can analyze and optimize the synergistic mechanism. (Using the synergistic effect intelligent analysis module) analyze the synergistic mechanism between the four key ingredients (syringin, white willow bark extract, dipotassium glycyrrhizinate and quaternary ammonium salt-73):

[0139] Quaternary ammonium salt-73 and white willow bark extract: Salicylic acid in white willow bark extract enhances skin permeability by loosening the connections between keratinocytes, helping quaternary ammonium salt-73 penetrate the hair follicle sebaceous gland unit, effectively inhibiting the growth of Propionibacterium acnes, and synergistically reducing the intensity of inflammatory response; the role of salicylic acid in regulating sebum secretion complements the function of quaternary ammonium salt-73 in maintaining the balance of skin microecology, and is expected to increase the speed of acne inflammation subsiding by 25%-30%, extend the oil control time by 2-3 hours, and enhance the overall anti-acne effect.

[0140] Syringin and dipotassium glycyrrhizinate: The reactive oxygen intermediates produced by syringin during the antioxidant process may cause mild inflammation. Dipotassium glycyrrhizinate can neutralize inflammatory signals in a timely manner with its anti-inflammatory properties to ensure the stability of the intracellular environment; dipotassium glycyrrhizinate maintains the osmotic pressure balance of cells, promotes the transmembrane transport of syringin, and enhances its antioxidant and repair effects in cells. The synergy of the two can increase the efficiency of skin antioxidant damage repair by 35%-40%, reduce the chance of skin allergies, and improve tolerance.

[0141] White willow bark extract and syringin: The flavonoids in white willow bark extract and syringin synergistically activate multiple antioxidant signaling pathways in cells, forming a cascade amplification effect, enhancing the ability to scavenge various free radicals (such as superoxide anions, hydroxyl radicals, lipid peroxyl radicals); flavonoids stabilize the cell membrane structure, and synergize with syringin to promote cell regeneration, enhance the skin's ability to resist oxidative stress and repair damage, and are expected to increase the skin's free radical scavenging rate by 45%-50%, effectively delaying the skin's aging process and improving skin texture.

[0142] Quaternary ammonium salt-73, white willow bark extract, lilac glycoside, and dipotassium glycyrrhizinate synergistically: The four ingredients build a comprehensive skin health maintenance network, from inhibiting microbial infection, regulating oil secretion, removing free radicals to repairing damaged cells and stabilizing the skin barrier, forming a tight closed-loop synergistic system. After complex algorithm simulation, this synergistic combination can increase the skin's comprehensive anti-aging score by 55%-60%, and the oil control and acne removal effect is long-term and stable, maintaining the healthy homeostasis of the skin. Based on this, the proportion of each ingredient is optimized to generate multiple sets of highly adaptable formula combinations.

[0143] Through the final solution output by IngredientAI and TheGoodFace, a comprehensive evaluation was conducted from multiple dimensions, including efficacy expectations, raw material cost-effectiveness, global supply chain stability, and regulatory compliance, to determine an optimized composition solution that includes quaternary ammonium salt-73, white willow bark extract, syringin, and dipotassium glycyrrhizinate and meets the multiple efficacy requirements of anti-aging, oil control, and acne removal.

[0144] Although this specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each implementation mode may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

[0145] The series of detailed descriptions listed above are only specific descriptions of feasible implementation methods of the present application. They are not intended to limit the scope of protection of the present application. Any equivalent implementation methods or changes that do not deviate from the technical spirit of the present application should be included in the scope of protection of the present application.

Claims

1. An oil control and acne removal composition based on artificial intelligence screening, characterized in that: In parts by mass, it includes the following components: Syringin 0.1-1 part; 0.5-2 parts of white willow bark extract; Dipotassium glycyrrhizinate 0.1-0.3 parts; Quaternary ammonium salt-73 0.0002-0.005 parts.

2. The oil control and acne removal composition based on artificial intelligence screening according to claim 1, characterized in that: The mass ratio of the syringin to the white willow bark extract is 0.5-2.

3. The oil control and acne removal composition based on artificial intelligence screening according to claim 1, characterized in that: The mass ratio of the syringin to dipotassium glycyrrhizinate is 1 to 10.

4. Use of the oil control and acne removal composition based on artificial intelligence screening as described in any one of claims 1 to 3 in the preparation of an oil control and acne removal cosmetic composition.

5. The use according to claim 4, characterized in that The cosmetic composition is lotion, essence, gel or facial mask.

6. An oil-controlling and acne-removing cosmetic composition, characterized in that: Including the oil control and acne removal composition based on artificial intelligence screening as described in any one of claims 1 to 3.

7. The oil-controlling and anti-acne cosmetic composition according to claim 6, characterized in that: At least one of a polyol, a humectant, a thickener, a preservative, and a pH adjuster may also be included.

8. The oil-controlling and anti-acne cosmetic composition according to claim 7, characterized in that: The pH value of the composition is 4-6.

9. The oil-controlling and anti-acne cosmetic composition according to claim 7, characterized in that: The polyol is selected from any one or a combination of at least two of glycerol, butylene glycol, 1,3-propylene glycol, dipropylene glycol, and methylpropanediol; the moisturizer is any one or a combination of at least two of glycerol polyether-26, sodium hyaluronate, biosaccharide gum-1, sodium polyglutamate, D-panthenol, and ectoine; the thickener is selected from any one or a combination of at least two of xanthan gum, carbomer, hydroxyethyl cellulose, ammonium acryloyldimethyltaurate / VP copolymer, hydroxyethyl acrylate / sodium acryloyldimethyltaurate copolymer, polyacrylate cross-linked polymer-6, and acrylic acid (ester) / C10-30 alkyl acrylate cross-linked polymer; the preservative is selected from two or three of phenoxyethanol, p-hydroxyacetophenone, 1,2-hexanediol, 1,2-pentanediol, caprylyl glycol, and ethylhexylglycerin; the pH adjuster is selected from any one or a combination of at least two of citric acid, tromethamine, and arginine.

10. A method for screening the oil control and acne removal composition according to any one of claims 1 to 3 based on artificial intelligence, characterized in that: The steps include: Obtain user constraints; based on the user constraints, use a generative artificial intelligence model to obtain information to be screened, wherein the information to be screened includes multiple combination schemes including multiple components; The information to be screened is input into a trained prediction model, and prediction is performed on each combination scheme therein; based on the prediction results of the prediction model, the combination scheme that meets the screening conditions is used as the screened oil control and acne removal composition.

Images