Determining performance in formulations for oil-containing products for cosmetics

Abstract

To provide a computer implemented method for determining performance properties of an oil-containing product for cosmetics, where the oil-containing product for cosmetics comprises different oils forming a mixture.SOLUTION: The method includes the steps of: providing, to a processing device via an input channel, performance properties for each of different oils, a measure for a ratio of the different oils in the mixture, a data driven model and / or a rigorous model; determining, with a processing device, determined performance properties of the oil-containing product for cosmetics including the mixture, based on the data driven model, the performance properties for each of the different oils and the measure for the ratio of the different oils in the mixture; and providing, via an output channel, the determined performance properties of the oil-containing product for personal care and / or the measure for the ratio of the different oils in the mixture and / or a formulation of the mixture, and / or a formulation of the oil-containing product for personal care.SELECTED DRAWING: Figure 7

Description

Technical Field

[0001] The present disclosure relates to a system, method, and computer program product for determining the performance characteristics of oil-containing and / or surfactant-containing products, particularly for personal care and more particularly for cosmetics, wherein the oil-containing product comprises different oils that form a mixture and / or the surfactant-containing product for cosmetics comprises at least one surfactant and further components that form a mixture.

Background Art

[0002] A clear perspective on consumer demands and an identifier of future trends are essential for the development of successful personal care products. Customized products and solutions for cosmetics should be used to fully exploit all the opportunities and possibilities presented by these new trends.

[0003] These new trends also include the development of new formulations for oil-containing products for cosmetics. Changes in the formulation have a significant impact on the comfort of wearing and applying cosmetic products and impress consumers with respect to the sensory properties of the product.

[0004] New formulations for oil-containing products for cosmetics are tested by time-consuming and expensive tests.

[0005] For example, sensory tests require trained human testers who apply the new formulation to the skin and then evaluate the sensory values for the formulation step by step.

[0006] Extensive tests on the physicochemical properties of new formulations for oily products are also required when developing new formulations.

Prior Art Documents

Patent Documents

[0007]

Patent Document 1

[0008] The object of the present invention relates to a system and method for determining the characteristics of personal care products containing at least two kinds of oils.

[0009] Products in the cosmetics industry widely contain mixtures of a plurality of components including oils. In the personal care industry, a frequently used term for oil is emollient. Oils play an essential role in the moisturizing effect and also affect the absorption of cosmetics.

[0010] Therefore, there is a need for a system and method for predicting the characteristics of cosmetic formulations containing oils.

[0011] U.S. Patent Application Publication No. 2002 / 082745 describes a method and system for selecting and manufacturing customized cosmetic or pharmaceutical formulations. The system can be executed in an Internet-based system or in a stand-alone type, for example, a kiosk. A method for customizing formulations that utilizes the user's preferences and profile, as well as external factors, is presented. The customized formulation can be instructed to a manufacturing facility for on-demand production. Alternatively, a printed copy of the formulation can be provided for subsequent use in a sales floor, for example, a cosmetics store or a pharmacy. The custom formulation software can also be provided in combination with a cosmetics manufacturing kit for home use or workplace applications. MEANS FOR SOLVING THE PROBLEMS

[0012] According to one aspect of the first invention, there is provided a computer-implemented method for determining the performance characteristics of oil-containing and / or surfactant-containing products, particularly for personal care, and more particularly for cosmetics, wherein the oil-containing product for personal care comprises different oils forming a mixture, and / or the surfactant-containing product for cosmetics comprises at least one surfactant and further components forming a mixture. - providing, via a communication interface, input composition parameters for each of the different oils to a processing device; - providing, via a communication interface, a data-driven model and / or a rigorous model to the processing device; - using the processing device to determine the determined performance characteristics of the oil-containing and / or surfactant-containing product comprising a mixture, particularly for personal care, and more particularly for cosmetics, · based on the data-driven model, and · the composition parameters for determination; - via a communication interface, · the determined performance characteristics of the oil-containing and / or surfactant-containing product, particularly for personal care, and more particularly for cosmetics, and / or · a measure of the ratio of the different oils and / or surfactants and further components in the mixture, and / or · the formulation of the mixture, and / or · the formulation of the oil-containing and / or surfactant-containing product, particularly for personal care, and more particularly for cosmetics is provided. A method is proposed that includes the above.

[0013] Generally, a data-driven model describes the relationship between each performance characteristic of the oils in a mixture, a measure of the ratios of the different oils in the mixture, and the performance characteristics of the mixture. The data-driven model can be based on measurements of the performance characteristics of the different oils in the mixture and a measure of the ratios of the different oils in these mixtures. The data-driven model describes the relationship between each performance characteristic of the surfactants and / or further components in the mixture, a measure of the ratios of the different surfactants and / or further components in the mixture, and the performance characteristics of the mixture. The data-driven model can be based on measurements of the performance characteristics of the surfactants and further components in the mixture and a measure of the ratios of the surfactants and further components in these mixtures. The data-driven model can be based on measurements of the performance characteristics of the different oils and / or surfactants in the mixture and a measure of the ratios of the different oils and / or surfactants in these mixtures.

[0014] A data-driven model refers to a model that is at least partially derived from data, as opposed to an exact model that is purely derived using physico-chemical laws. The use of a data-driven model can enable the description of relationships that cannot be modeled by physico-chemical laws. The use of a data-driven model can enable the description of relationships without solving equations from physico-chemical laws, which can reduce computational power and improve speed. A data-driven model can be derived from statistics (Statistics, 4th Edition, David Freedman et al., W. W. Norton & Company Inc., 2004). A data-driven model can be derived from machine learning (Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey, Artificial Intelligence Review, Volume 52, Pages 77 - 124 (2019), Springer).

[0015] A data-driven model can be a regression model. A data-driven model can be a mathematical model. A mathematical model can describe the relationship between the provided performance characteristics and the determined performance characteristics as a function. A data-driven model can be any other machine learning model.

[0016] A data-driven model can be a machine learning model. A data-driven model can be trained based on one or more of the "past" compositional parameters, "past performance characteristics" or quantum mechanical descriptors, such as those described in C.C. Pye, T. Ziegler, E. van Lenthe, J.N. Louwen, Can. J. Chem. 87, 790 (2009).

[0017] Cosmetics are personal care products. These include, but are not limited to, products that can be applied to the face, body, hands / nails, feet, hair and mouth (e.g., skin care cream, sunscreen, lipstick, deodorant, lotion, powder, perfume, baby products, bath oil, bubble bath, fingernail and toe nail polish, and hand sanitizer, hair dye, hairspray, gel, shampoo, conditioner, bath salt, and body butter).

[0018] Cosmetics often contain oil or a mixture of different oils. Cosmetics can contain surfactants and additional ingredients. For cosmetics, the user experience is very important. The user experience depends, inter alia, on the different oils in oil-containing products and / or the performance characteristics of the surfactants and additional ingredients in surfactant-containing products.

[0019] Oil in the context of this application also includes cosmetic oil components.

[0020] The cosmetic oil component consists of fatty acid esters, esters of C6 - C28 fatty acids and C6 - C28 fatty alcohols, glyceryl esters, fatty acid ester ethoxylates, alkyl ethoxylates, C12 - C28 fatty alcohols, C12 - C28 fatty acids, Guerbet esters, Guerbet alcohols and Guerbet acids, saturated alkanes, C12 - C28 fatty alcohol ethers, vegetable oils, natural essential oils, mineral oils, paraffin liquidum, petrolatum, isoparaffins, preferably dibutyl adipate (Cetiol® B), phenethyl benzoate, coco - caprylate (Cetiol® C5), coco - caprylate / caprate (Cetiol® LC, Cetiol® C5, Cetiol® C 5C), propylheptyl caprylate (Cetiol® Sensoft), (caprylic / capric) caprylyl (Cetiol® RLF), myristyl myristate (Cetiol® MM), glyceryl caprylate, coco - glyceryl (Myritol® 331), tri(caprylic / capric) glyceryl (Myritol® 312), tri(caprylic / capric) glyceryl (Myritol® 318), C12 - 15 alkyl benzoate (Cetiol® AB), PPG - 3 benzyl ether myristate, C12 - 13 alkyl lactate, isodecyl salicylate, alkyl malate, isoamyl laurate, propylheptyl caprylate, butyloctyl salicylate, polycrylene, dicaprylyl carbonate (Cetiol® CC), dicaprylyl ether (Cetiol® OE), octyldodecyl myristate, isohexadecane, dimethyl capramide, squalene, isopropyl isostearate, isostearyl isostearate, decyl oleate (Cetiol® V), oleyl erucate (Cetiol® JIt can be an oil component selected from the group consisting of cetearyl ethylhexanoate (Luvitol® EHO), octyldodecanol (Eutanol® G), hexyl decanol (Eutanol® G16), volatile linear C8-C16 alkanes, C10-C15 alkanes, C11-C13 alkanes (Cetiol® Ultimate), C13-15 alkanes, C15-19 alkanes, C17-23 alkanes, isododecane, undecane, tridecane (Cetiol® Ultimate), dodecane, propylene glycol dipelargonate, diisopropyl sebacate, cetearyl isononanoate (Cetiol® SN), isononyl isononanoate, isocetyl stearoyloxystearate, dipentaerithrityl hexacaprylate / hexacaprate, isodecyl neopentanoate, PEG-6 caprylate / caprate glyceride (Cetiol® 767), glyceryl tri(caprylate / caprate) (Myritol® 312, Myritol® 318), ethylhexyl stearate, ethylhexyl cocoate, ethylhexyl stearate (Cetiol® 868), dipropylheptyl carbonate (Cetiol® 4 All), hexyl laurate (Cetiol® A), dicaprylyl carbonate, PEG-7 glyceryl cocoate (Cetiol® HE), polyglyceryl-3 diisostearate (Lameform® TGI), lauryl alcohol, methyl canolate (Cetiol® MC), hexyldecyl laurate and hexyl decanol (Cetiol® PGL), hexyldecyl stearate (Eutanol® G 16S), PPG-15 stearyl ether (CETIOL® E), ethylhexyl palmitate (CEGESOFT® C24).

[0021] Further fatty acid esters are myristyl palmitate, myristyl stearate, myristyl isostearate, myristyl oleate, myristyl behenate, myristyl erucate, myristyl myristate (Cetiol® MM), cetyl myristate, cetyl palmitate, cetyl stearate, cetyl isostearate, cetyl oleate, cetyl behenate, cetyl erucate, stearyl myristate, stearyl palmitate, stearyl stearate, stearyl isostearate, stearyl oleate, stearyl behenate, stearyl erucate, isostearyl myristate, isostearyl palmitate, isostearyl stearate, isostearyl oleate, isostearyl behenate, isostearyl oleate, oleyl myristate, oleyl palmitate, oleyl stearate, oleyl isostearate, oleyl oleate, oleyl behenate, behenyl myristate, behenyl palmitate, behenyl stearate, behenyl isostearate, behenyl oleate, behenyl behenate, behenyl erucate, erucyl myristate, erucyl palmitate, erucyl stearate, erucyl isostearate, erucyl oleate, erucyl behenate and erucyl erucate.

[0022] Gerb alcohol, gerbic acid, gerb esters, preferably gerb esters with branched alcohols of straight-chain C6-22 fatty acids, in particular gerb esters of straight-chain C6-22 fatty acids with C6-C18, preferably C8-C10 fatty alcohols, more particularly with branched alcohols having 2-ethylhexanol, esters of straight-chain or branched C6-22 fatty alcohols with C18-38 alkylhydroxycarboxylic acids, more particularly dioctyl malate, polyhydric alcohols (such as propylene glycol, dimer diol or trimer triol) and / or gerb alcohol of straight-chain and / or branched fatty acids, triglycerides based on C6-10 fatty acids, esters with liquid mono-, di- and triglyceride mixtures based on C6-18 fatty acids, esters of aromatic carboxylic acids with C6-22 fatty alcohols and / or gerb alcohol, more particularly esters with benzoic acid, esters of straight-chain or branched C2-12 dicarboxylic acids with straight-chain or branched alcohols containing 1-22 carbon atoms or with polyols containing 2-10 carbon atoms and 2-6 hydroxyl groups, vegetable oils, branched primary alcohols, substituted cyclohexanes, esters with gerb carbonates based on fatty alcohols containing 6-18, preferably 8-10 carbon atoms, esters of benzoic acid with straight-chain and / or branched C6-22 alcohols (such as Finsolv® TN), straight-chain or branched symmetrical or asymmetrical dialkyl ethers containing 6-22 carbon atoms per alkyl group, such as dicaprylyl ether (Cetiol® OE), ring-opening products of epoxidized fatty acid esters with polyols are also suitable.

[0023] More suitable oil components are natural substances selected from the group consisting of oil of Elaeis guineensis (Cegesoft® GPO), oil of Passiflora incarnata seeds (Cegesoft® PFO), olive oil, olus oil (Cegesoft® PS6), shea butter (Butyrospermum parkii) (Cetiol® SB 45), ethylhexyl palmitate and coconut oil (Cocos Nucifera Oil) (CETIOL® COCO), Shorea stenoptera seed butter (Cegesoft® SH), almond oil, avocado oil, borage oil, canola oil, castor oil, camomile, coconut oil, corn oil, cottonseed oil, jojoba oil, evening primrose oil, papaya oil, palm oil, hazelnut oil, peanut oil, walnut oil, safflower oil, sesame oil, soybean oil, sunflower oil, sweet almond, rice bran / wheat germ oil, rosehip oil, sesame oil, lanolin, hydrogenated vegetable oil, candelilla wax, Euphorbia vegetable oil (Cegesoft® VP), and sterols and derivatives.

[0024] In addition, silicones and silicone derivatives such as polydimethylsiloxane, methicone, dimethicone, cyclomethicone, caprylyl methicone, dimethicone copolyol, undecylenyl dimethicone, dimethiconol, trimethicone, and organosiloxane are used as oil components in the cosmetic composition.

[0025] In the context of this application, a surfactant can refer to surfactant molecules that are compatible with both water and oil. The surfactant can be at least one surfactant selected from the group consisting of amphoteric surfactants, cationic surfactants, anionic surfactants, or nonionic surfactants. For example, the surfactant can be at least one surfactant selected from the group consisting of EO-based nonionic surfactants, sulfates, 1,4-dioxane, isethionates, taurates, sulfates, fatty alcohol ethersulfates, fatty alcohol sulfates, linear dodecyl benzene sulfonates, linear alkylbenzene sulfonates, oleic acid sulfonates, polyalkylene glycols, alcohol ethoxylates, alkyl polyglucosides, amine ethoxylates, aminopolyols, and unsaturated alcohol ethoxylates.

[0026] The surfactant can preferably be selected from the group consisting of C8-C16 fatty alcohol glucosides (Plantacare® 818), C8-10 fatty alcohol glucosides (Plantacare® 810), lauryl glucoside (Plantacare® 1200), C8-C16 fatty alcohol glucosides (Plantacare® 2000), cocoamidopropyl betaine (Dehyton® PK 45), sodium lauryl sulfate (Texapon® N 70), sodium cocoyl glutamate (Plantapon® ACG 50), sodium lauryl sulfate (Texapon® K 12), ammonium lauryl sulfate (Texapon® ALS 70), sodium lauryl sulfate (Texapon® N 701), disodium 2-sulfolaurate (Texapon® SFA), sodium dodecyl sulfate (Texapon® K 14 SP), laureth-7 citrate (Plantapon® LC 7), disodium 2-sulfolaurate (Texapon® SB 3 KC), sodium cocoamphoacetate (and) glycerin (and) lauryl glucoside (and) sodium cocoyl glutamate (and) sodium lauryl glucose carboxylate (Plantapon® SF-N), coco-glucoside (and) disodium lauryl sulfosuccinate (and) glycerin (Plantapon® PSC), sodium lauryl glucose carboxylate (and) lauryl glucoside (Plantapon® LCG Sorb), disodium lauryl sulfosuccinate (Plantapon® SUS), Plantapon Soy, fatty alcohol sulfate (Sulfopon® 1216 G), disodium cocoamphodiacetate (Dehyton® DC), sodium cocoamphoacetate (Dehyton® MC), sodium cocoyl isethionate (Jordapon® SCI), sodium cocoyl isethionate (Jordapon® CI LA) isethionate, taurate and amino acid surfactants.

[0027] Further components can be solutions, such as aqueous and / or oily solutions. For example, a 2% surfactant solution in water can be used.

[0028] A measure of the ratio of different oils in a mixture indicates the relationship of quantity, amount, or size between two or more different oils. The measure of the ratio of different oils can be relative or absolute. The measure of the ratio of different oils can be, for example, weight percent, volume percent, mixing ratio, molar ratio.

[0029] A measure of the ratio of different surfactants and / or further components in a mixture indicates the relationship of quantity, amount, or size between two or more different surfactants and / or further components. The measure of the ratio of different surfactants and / or further components can be relative or absolute. The measure of the ratio of different surfactants and / or further components can be, for example, weight percent, volume percent, mixing ratio, molar ratio.

[0030] The formulation of the mixture can include an identifier for each of the different oils. In particular, this can include an identifier for each of the different oils that make up the mixture. The formulation of the mixture can include an identifier for each of the different surfactants and / or further components. In particular, this can include an identifier for each of the different surfactants and / or further components that make up the mixture.

[0031] The communication interface provides information from, and to, the processing device. The communication interface can enable the transfer of information using an input device and / or an output device. The communication interface can enable the transfer of information within the processing device. The communication interface can enable the transfer of information using the memory of the processing device.

[0032] The input device can be a physical and / or logical input device. The physical input device can be, for example, a keyboard, a mouse, a touch screen, a touch pad, a microphone, gesture-based control, a database.

[0033] The output device can be a physical and / or logical output device. The physical output device can be, for example, a display, a monitor.

[0034] The logical output device can be, for example, an API, a remote control function, a software function call, an interface to a database. The output device can be connected to the communication interface either wired or wirelessly.

[0035] The processing device can be, for example, a general-purpose computer, a CPU, a microprocessor, an FPGA, a network of computers, a network of CPUs.

[0036] The performance characteristics of an oil or a mixture of different oils can be related to the physicochemical properties of the oil or different oils, such as density, refractive index, surface tension, interfacial tension, spreadability, viscosity, relative permittivity, molecular weight, Equivalent Alkane Carbon Number (EACN).

[0037] The performance characteristics of a surfactant and / or further components can be related to the physicochemical properties of the surfactant and / or further components, such as dynamic surface tension, dynamic interfacial tension, foam height, especially from t = 0 s to 300 s, foaming and foam collapse, foam size and number, and their collapse, the elastic constant of the foam (G'), the increase in viscosity when adding salt, the sensory feel on the hair.

[0038] The composition parameter can be the composition parameter of the mixture.

[0039] In one aspect, the compositional parameter can include a measure of the ratio of the different oils in the mixture and / or a measure of the ratio of the different surfactants and / or additional components in the mixture.

[0040] In one aspect, the compositional parameter can include the performance characteristics for each of the different oils and / or for each of the different surfactants and / or additional components.

[0041] In one aspect, the compositional parameter can include identifiers for each of the different oils and / or for each of the surfactants and / or additional components.

[0042] In one aspect, the performance characteristics for each of the different oils are derived from the identifier for each of the different oils and / or the performance characteristics for each of the different surfactants and / or additional components are derived from the identifier for each of the different surfactants and / or additional components.

[0043] In one aspect, the performance characteristics of the oil and / or surfactant or additional component can be physicochemical characteristics.

[0044] The physicochemical characteristics can be specified by measurement in an experiment. The error in the measured values is almost non-existent (and can generally be ignored).

[0045] Using the physicochemical characteristics of the oil or oil mixture and / or the surfactant or additional component or mixture of surfactant and additional component has the advantage that they are readily accessible. They can be either measured in a laboratory or provided from a data sheet or database. A further advantage is that they generally have little error. Generally, the data in the data sheet or database is derived from the measured values.

[0046] In one aspect, the physicochemical properties can be related to, for example, density, refractive index, surface tension, interfacial tension, physical extensibility, viscosity, relative permittivity, molecular weight, equivalent alkane carbon number (EACN).

[0047] Refractive index (optical property): This is a measure of how fast light travels through an oil or a mixture of at least two oils. It is the ratio of the speed of light in a vacuum to the speed of light in the product. It is measured using a standard apparatus for measuring refractive index.

[0048] Surface tension: The force that holds the unit length of the interface between an oil and air. This is typically measured using the "Wilhelmy plate method (plate tensiometer)".

[0049] Liquid-liquid interfacial tension: The force that holds the unit length of the interface between an oil and water. This is typically measured using the "pendant drop" method.

[0050] Spreading value: The area over which a certain amount of oil spreads on a collagen surface (a substitute for human skin) in 10 minutes. This is measured by a method developed in-house by Henkel, now BASF, Dusseldorf.

[0051] Viscosity: The flow behavior or rheology of an oil. This can be measured using a standard rheometer.

[0052] The relative permittivity can be measured using a Qumat 02600 Dekameter device, and the EACN method has been developed by BASF Dusseldorf [T.H. Forster et al., International Journal of Cosmetic Science, Vol. 16, pp. 84 - 92 (1994)].

[0053] The molecular weight can be determined from the chemical composition.

[0054] Liquid-liquid interfacial tension (IFT): The interfacial tension is measured in [mN / m] against water and can be measured using the pendant drop method at a temperature of 23 ± 2 °C. A Dataphysics OCAH 200 high-speed contact angle measurement system with a cannula of 0.52 mm diameter (DataPhysics Instruments GmbH, Filderstadt, Germany) is used for the measurement. The cannula is used to form water droplets in a cuvette filled with each oil, and the droplet diameter is adjusted in 5 μl steps to the maximum stable volume in order to ensure the highest sensitivity for the method. The LaPlace-Young method is used to evaluate the droplet diameter, and the required density is determined using an oscillating U-tube density measuring device. The measurement is repeated 10 times, and the IFT is obtained as the average of these 10 measurements, together with their standard deviation.

[0055] In one aspect, the physicochemical properties can be related to, for example, dynamic surface tension, dynamic interfacial tension, foam height, especially at t = 0 s to 300 s, foaming and foam collapse, foam size and number, and their collapse, the elastic constant of the foam (G'), the increase in viscosity upon addition of salt, and the sensory feel on the hair. All physicochemical properties are standard physicochemical properties for characterizing surfactants and are known to those skilled in the art.

[0056] Hereinafter, reference is made to an oil-containing product that represents both the oil-containing product and the surfactant-containing product.

[0057] In one aspect, the performance characteristics of the oil can be the functional characteristics of the oil.

[0058] Sensory properties mainly determine how oil-containing products for personal care, especially cosmetic oils, are perceived on human skin. To make these measurable properties, several sensory properties have been defined (e.g., thickness, gloss, Powdery Feel, Silicone Feel, etc.). These can be defined differently in different laboratories. Sensory properties usually have to be measured by trained panelists and are not available from datasheets / databases. The number of panelists can be about 10 - 100, more particularly about 20. It has been found that reliable information can already be derived using about 10 trained panelists.

[0059] For each sensory property, the panelists grade the oil-containing product. This grading is done on a single-item scale (0 - 100). The final value of the sensory property for grading the oil-containing product is considered as the average or median value from all the panelists.

[0060] Since sensory properties are evaluated by humans, even though trained, their values can have large scatter (statistical deviation). At the same time, sensory properties are the information sought as they provide valuable information about customers' perception of oil-containing products for personal care, especially cosmetics.

[0061] Using sensory properties has the advantage that these properties are most relevant in representing the user experience of cosmetic products. Sensory properties usually have to be measured by trained panelists and are not available from datasheets / databases.

[0062] In one aspect, the sensory properties are related to, for example, thickness, gloss, powdery feel, silicone feel, wetness, distribution, thickness, rubs to absorbency for absorbency, oil, amount of oil in residue, dryness, gloss, slipperiness, smoothness, thickness of residue, % of greasy feel, % of oily feel, % of powdery feel, silicone feel, slipperiness and adhesiveness. The individual sensory properties are self-explanatory according to their respective names. These properties can be classified into those measured immediately after application (TI, immediate), those in the rub-out phase (RO) and those measured N minutes after application. Here, N is, but not limited to, 5 minutes, 20 minutes, etc.

[0063] The above examples are beneficial because they are very suitable for describing the user experience of cosmetic products.

[0064] Currently, the performance characteristics of new oil-containing products containing different oils for personal care, especially cosmetics, have to be determined by testing.

[0065] For each scale regarding the ratio of different oils in the mixture, new tests have to be performed. As described above, this is time-consuming and expensive.

[0066] The advantage of the proposed method is that the number of tests required for new oil-containing products containing different oils for personal care, especially cosmetics, is significantly reduced or even eliminated.

[0067] The performance characteristic for each of the different oils can be one performance characteristic for each of the different oils. One performance characteristic for each of the different oils can be one sensory property. One performance characteristic for each of the different oils can be one physicochemical property.

[0068] The performance characteristics for each of the different oils can be a plurality of performance characteristics for each of the different oils. The performance characteristics can be any combination of physicochemical characteristics. The performance characteristics can be any combination of sensory characteristics. The performance characteristics can be any combination of physicochemical and sensory characteristics.

[0069] In one aspect, an oil-containing product for personal care comprises at least two different oils.

[0070] In one aspect, an oil-containing product for personal care comprises at least three different oils.

[0071] By combining three oils to create a new oil-containing product, a greater variation in the performance characteristics of the new oil-containing product is achieved.

[0072] In one aspect, an oil-containing product for personal care comprises a mixture of at least four different oils.

[0073] By combining four oils to create a new oil-containing product, an even greater variation in the performance characteristics of the new oil-containing product is achieved.

[0074] In one aspect, a surfactant-containing product for personal care comprises at least two different surfactants and / or additional components. In addition, it can comprise a plurality of different oils, such as two, three or four different oils.

[0075] In one aspect, a surfactant-containing product for personal care comprises at least three different surfactants and / or additional components. In addition, it can comprise a plurality of different oils, such as two, three or four different oils.

[0076] By combining a plurality of oils and / or surfactants and / or further components to create new oil-containing and / or surfactant-containing products, a greater variation in the performance characteristics of the new oil-containing and / or surfactant-containing products is achieved.

[0077] In one aspect, a surfactant-containing product for personal care comprises at least four different oils and / or a mixture of surfactants and / or further components.

[0078] In one aspect, the step of providing the performance characteristics of each of the oils may precede the step of providing an identifier for each of the oils.

[0079] In one aspect, the step of providing an identifier for each of the oils may be followed by deriving the performance characteristics of each of the oils from the identifier for each of the oils.

[0080] The identifier for each of the different oils can be an internal label, a chemical structural formula, brand names, or a CAS number.

[0081] Using identifiers for the oils rather than the performance characteristics greatly increases the usefulness of the method.

[0082] Deriving the performance characteristics of each of the different oils from the identifier can be done by retrieving the performance characteristics from a database.

[0083] In one aspect, the step of providing the performance characteristics of each of the surfactants and / or further components may precede the step of providing an identifier for each of the surfactants and / or further components. In one aspect, the step of providing an identifier for each of the surfactants and / or further components may be followed by deriving the performance characteristics of each of the surfactants and / or further components from the identifier for each of the surfactants and / or further components.

[0084] The identifiers for each of the different oils can be an internal label, a chemical structural formula, a brand name, and a CAS number. Using identifiers for the oils rather than performance characteristics greatly increases the usefulness of the method.

[0085] Deriving the performance characteristics for each of the different surfactants and / or further components from the identifiers can be done by retrieving the performance characteristics from a database.

[0086] In another aspect, it can also include providing, via a communication interface, to a processing device, the target performance characteristics of a specific oil or oil mixture, and / or a specific surfactant or a specific further component, and / or a mixture of surfactants and / or further components.

[0087] In one aspect, the target performance characteristics can be the performance characteristics of a known / actual oil or oil mixture. This can occur, for example, when trying to replace an undesired oil. An oil may not be desired if it is not environmentally friendly. An oil may not be desired if it does not have approval for use in cosmetics.

[0088] The target performance characteristics for a specific oil or for an oil mixture can be the requirements for a new formulation or a new oil mixture. This can occur when a new formulation needs to be designed such that certain performance characteristic requirements are met. In such a case, the target performance requirements can be provided by a customer, for example, based on market research.

[0089] In one aspect, the target characteristics of a specific oil or a specific oil mixture are related to a mineral oil or a mixture containing at least one mineral oil / paraffin oil. Throughout this application, paraffin oil is a mineral oil. Paraffin oils are very common in personal care products due to these valuable functional characteristics. Despite these advantages in the user's experience, they are not considered sustainable.

[0090] This enables replacement of mineral oil(s) with more environmentally friendly oil(s). In one aspect, the environmentally friendly oil consists of natural raw materials.

[0091] In one aspect, the target performance characteristics of a particular oil or a mixture of particular oils are related to silicone-based oils. Silicone-based oils are very common in personal care products due to these valuable functional properties. Despite these advantages in the user's experience, they are not considered sustainable.

[0092] This enables replacement of silicone-based oil(s) with more environmentally friendly oil(s). In one aspect, the environmentally friendly oil consists of natural raw materials.

[0093] In one aspect, the target performance characteristics can be those of a known / actual surfactant, or a further component, or a mixture of a surfactant and a further component. This can occur, for example, when attempting to replace an undesired surfactant. A surfactant may not be desired if it is not environmentally friendly. A surfactant may not be desired if it does not have approval for use in cosmetics.

[0094] The target performance characteristics for a particular surfactant or further component, or for a mixture of a surfactant and a further component, can be requirements for a new formulation or a new mixture. This can occur when a new formulation needs to be designed such that certain performance characteristic requirements are met. In such cases, the target performance requirements can be provided, for example, by customers based on market research or by measurement.

[0095] In one aspect, the method steps for providing the target performance characteristics of a particular oil or a mixture of particular oils are - providing an identifier of the particular oil or the mixture of particular oils, - deriving the target performance characteristics from the identifier of the particular oil or the mixture of particular oils and can further include.

[0096] The identifier of a specific oil or oil mixture can be an internal label, a chemical structural formula, a brand name, or a CAS number.

[0097] Using an oil identifier rather than a performance characteristic greatly increases the usefulness of the method.

[0098] In one aspect, the method steps for providing the target performance characteristics of a specific surfactant and / or further component or a specific mixture of a surfactant and further components can - include providing an identifier of a specific surfactant and / or further component or a specific mixture of a surfactant and further components, - and deriving the target performance characteristics from the identifier of a specific surfactant and / or further component or a specific mixture of a surfactant and further components. can further include.

[0099] In one aspect, steps can be included of comparing, by a processing device, the target performance characteristics of a specific oil or oil mixture, particularly for personal care, more particularly for oil-containing products for cosmetics, with the determined performance characteristics of an oil-containing product for personal care, more particularly for cosmetics, and deriving the result of the comparing step.

[0100] The steps of comparing, by a processing device, the target performance characteristics of a specific oil or oil mixture for cosmetics with the determined performance characteristics of an oil-containing product for cosmetics and deriving the result of the comparing step can enable an easier decision when a specific oil or a specific oil mixture can be substituted.

[0101] The comparing step can further include comparing when the target performance requirements are met.

[0102] Meeting the target performance characteristics can be understood as the target performance characteristics being exactly matched, or within a predefined tolerance, with the performance characteristics of an oil-containing product containing different oils (mixtures), especially for personal care, and more particularly for cosmetics. In another aspect, the method includes generating an objective function based on the target performance characteristics and the performance characteristics of an oil-containing product containing a mixture of different oils for personal care. In another aspect, the method further includes minimizing or maximizing the objective function. Meeting the target performance characteristics can be achieved by the minimum or maximum value of the objective function. The objective function can be an error function.

[0103] In one aspect, a processing device compares the target performance characteristics of a specific surfactant and / or further components or a specific mixture of a surfactant and further components for a surfactant-containing product, especially for personal care, and more particularly for cosmetics, with the determined performance characteristics of a surfactant-containing product, especially for personal care, and more particularly for cosmetics, and can include deriving the result of the comparing step.

[0104] The steps of comparing the target performance characteristics with the determined performance characteristics of a surfactant-containing product for cosmetics by a processing device and deriving the result of the comparing step can enable an easier decision when a specific surfactant or further components or a specific mixture of a surfactant and further components can be substituted.

[0105] The comparing step can further include comparing when the target performance requirements are met.

[0106] In another aspect, the method includes generating an objective function based on the performance characteristics of the target and the performance characteristics of a surfactant-containing product for personal care comprising a mixture of different surfactants and / or additional components. In another aspect, the method further includes minimizing or maximizing the objective function. Meeting the performance characteristics of the target can be achieved by the minimum or maximum value of the objective function. The objective function can be an error function.

[0107] In another aspect, the step of providing via the communication interface can further include providing the result of the comparison step via the communication interface.

[0108] Providing the result of the comparison step can enable more easily determining, also when a particular oil or a mixture of particular oils and / or a surfactant or additional components and / or mixtures thereof can be substituted.

[0109] In one aspect, the step of varying the compositional parameters can be performed.

[0110] Varying the compositional parameters enables quickly determining the performance characteristics of a broader range of oil-containing products, particularly for personal care, and more particularly for cosmetic oil-containing products.

[0111] In one aspect, the varying step can include varying a measure for the ratio of different oils.

[0112] This enables quickly determining performance characteristics based on different mixing ratios. Varying a measure for the ratio of different oils can enable determining a measure for the ratio of different oils that best meets the target requirements.

[0113] In one aspect, the varying step can include varying by changing at least one identifier of different oils.

[0114] By changing at least one identifier of a different oil, at least one oil in the mixture is replaced.

[0115] By changing at least one identifier of a different oil, it is guaranteed to find the best combination of oils that meet the target performance.

[0116] In one aspect, the varying step can include adding additional identifiers of different oils.

[0117] This enables quickly determining the performance characteristics of a new oil mixture based on more than two oils. If the initial mixture cannot meet the target performance and requirements, this step allows adding additional oils to the mixture so that it can meet the target performance criteria.

[0118] The step of varying the scale of the ratio of different oils and the step of changing at least one identifier of different oils can be performed independently of each other or together. When the step of varying the scale of the ratio of different oils and the step of changing at least one identifier of different oils are performed together, for each combination of identifiers of different oils, the scale of the ratio of different oils can be varied before at least one identifier of different oils is changed.

[0119] This provides an effective means of determining performance characteristics that match the target performance characteristics.

[0120] In one aspect, in the step of varying the composition parameter, one can continue to provide the varied composition parameter as a composition parameter. The varied composition parameter is a composition parameter derived from the step of varying.

[0121] In another aspect, the step of varying the composition parameters can be repeated until the performance requirements are met. Additionally, providing the varied composition parameters as the composition parameters can also be repeated until the performance requirements are met.

[0122] In one aspect, the target performance characteristics can be weighted. The weighting can be determined by the relevance of a particular performance characteristic. For example, in a particular product, viscosity may be more important than refractive index. By enabling the weighting of performance characteristics, the requirements from customers can be best met.

[0123] In a second aspect, a system for determining the performance characteristics of oil-containing and / or surfactant-containing products, particularly for personal care, and more particularly for cosmetics, wherein the oil-containing product for personal care comprises different oils forming a mixture, and / or the surfactant-containing product for cosmetics comprises at least one surfactant and further components forming a mixture, A system is proposed that includes a processing device configured to perform the method steps of the first aspect.

[0124] More particularly, the system may - include a communication interface, and - a processing configured to perform the method steps disclosed above and can further include.

[0125] In one aspect, the system can further include a mixing module configured to control the mixing of oil-containing and / or surfactant-containing products for personal care, particularly for cosmetics.

[0126] In a third aspect, there is provided a computer program product for determining performance characteristics of oil-containing and / or surfactant-containing products, particularly for personal care, and more particularly for cosmetics, wherein an oil-containing product for personal care comprises different oils forming a mixture and / or a surfactant-containing product for personal care comprises different surfactants and further components forming a mixture. There is proposed a computer program product which, when executed on a processing device, performs any of the method steps outlined above with respect to the first aspect.

[0127] The computer program is stored and / or arranged on a suitable medium, such as an optical storage medium or a solid-state medium supplied together with or as part of other hardware, but may also be arranged in other forms, for example via the Internet or other wired or wireless telecommunications systems.

[0128] However, the computer program can also be present on a network such as the World Wide Web and can be downloaded from such a network into the working memory of a data processing device.

[0129] According to a further exemplary embodiment of the invention, there is provided a data carrier or data storage medium for making available for download a computer program arranged to perform a method according to one of the embodiments of the invention described above.

[0130] As will be appreciated by those skilled in the art, the embodiments described herein are not mutually exclusive and it should be understood that one or more of the described embodiments can be combined in various ways.

[0131] A computer program for performing any of the methods of the present invention can be stored on a computer-readable storage medium (e.g., a non-transitory computer-readable storage medium). The computer-readable storage medium can be a floppy disk, a hard disk, a CD (compact disc), a DVD (digital versatile disc), a USB (universal serial bus) drive, a RAM (random access memory), a ROM (read-only memory), and an EPROM (erasable programmable read-only memory). The computer-readable medium can also be a data communication network, such as the Internet, that enables the downloading of program code. The methods, systems, and apparatuses described herein can be executed as software in a digital signal processor, a DSP, a microcontroller, or any other side processor, or as a hardware circuit in an application-specific integrated circuit, an ASIC, a CPLD, an FPGA, or other suitable device. As described in more detail below, the present invention can be executed in a digital electronic circuit, or in computer hardware, firmware, software, or a combination thereof, such as in the available hardware of a conventional mobile device or in new hardware specialized for the processing of the methods described herein.

[0132] This disclosure is equally applicable to the systems, methods, computer programs, computer-readable non-volatile storage media, and computer program products disclosed herein. Therefore, no distinction is made between systems, methods, computer programs, computer-readable non-volatile storage media, or computer program products. All features are disclosed in relation to the systems, methods, computer programs, computer-readable non-volatile storage media, catalysts, chemical methods, and computer program products disclosed herein.

[0133] Certain aspects of the present invention are disclosed below in the form of numbered embodiments.

[0134] 1. A computer-implemented method for determining the performance characteristics of an oil-containing product for cosmetics, wherein the oil-containing product for cosmetics comprises different oils forming a mixture, the method comprising: - providing composition parameters to a processing device via a communication interface; - providing a data-driven model and / or a rigorous model to the processing device via a communication interface; - using the processing device to determine the determined performance characteristics of the oil-containing product for cosmetics, comprising the mixture, · based on a data-driven model and / or a rigorous model · and composition parameters; - determining based on: - via an output communication interface, · the determined performance characteristics of the oil-containing product for cosmetics, and / or · the composition parameters, and / or · the formulation of the mixture, and / or · providing the formulation of the oil-containing product for cosmetics. A method comprising the above.

[0135] 2. The method of clause 1, wherein the composition parameters include a measure of the ratio of the different oils in the mixture.

[0136] 3. The method of clause 1 or 2, wherein the composition parameters include the performance characteristics for each of the different oils.

[0137] 4. The method according to any one of clauses 1 to 3, wherein the composition parameters include identifiers for each of the oils, and the method further comprises deriving the performance characteristics for each of the oils from the identifiers.

[0138] 5. The method according to any one of clauses 1 to 4, wherein the performance characteristics of each of the different oils are related to the physicochemical characteristics of each of the different oils.

[0139] 6. The method according to any one of clauses 1 to 5, wherein the performance characteristics of each of the different oils are related to the sensory characteristics of each of the different oils.

[0140] 7. A method according to any one of clauses 1 to 6, wherein the oil-containing product for cosmetics comprises at least two different oils, at least three different oils or at least four different oils.

[0141] 8. A method according to any one of clauses 1 to 7, further comprising providing, via a communication interface, target performance characteristics of a specific oil or mixture of oils for cosmetics to a processing device.

[0142] 9. The method step of providing the target performance characteristics comprises - providing an identifier of a specific oil or a specific mixture of oils, - deriving from the identifier of the specific oil or the specific mixture of oils the target performance of the specific oil or the specific mixture of oils properties preceded by the method of clause 8.

[0143] 10. A method according to clause 8 or 9, further comprising comparing, by a processing device, the target performance characteristics of a specific oil or mixture of oils for cosmetics with the determined performance characteristics of the oil-containing product for cosmetics, and deriving the result of the comparing step.

[0144] 11. The method of clause 10, wherein the comparing step comprises comparing whether the target performance requirements are met.

[0145] 12. A method according to clause 10 or 11, wherein providing via an output channel further comprises providing the result of the comparing step.

[0146] 13. A method according to any one of clauses 10 to 12, further comprising varying a composition parameter.

[0147] 14. The method of clause 13, wherein the step of varying the compositional parameter includes varying a measure for the ratio of different oils.

[0148] 15. The method according to any one of clauses 13 or 14, wherein the step of varying the compositional parameter includes changing at least one identifier of different oils.

[0149] 16. The method according to any one of clauses 13 to 15, wherein the step of varying the compositional parameter includes adding an additional identifier of the oil.

[0150] 17. The method according to any one of clauses 13 to 16, further including the step of providing the varied compositional parameter as a compositional parameter.

[0151] 18. The method of clause 17, further including the step of repeating the method of clause 17 until the target performance characteristics are met.

[0152] 19. The method according to any one of clauses 8 to 18, wherein the target performance characteristics of a specific oil or oil mixture for cosmetics are related to silicone-based oils.

[0153] 20. The method according to any one of clauses 8 to 18, wherein the target performance characteristics of a specific oil or oil mixture for cosmetics are related to mineral oil / paraffin oil.

[0154] 21. The method according to any one of clauses 8 to 18, wherein the target performance characteristics of a specific oil or oil mixture for cosmetics are related to any other actual or imaginary oil.

[0155] 22. A system for determining the performance characteristics of an oil-containing product for cosmetics, wherein the oil-containing product for cosmetics includes different oils forming a mixture, and the system includes - a communication interface, and - a processing device configured to perform the method according to any one of clauses 1 to 21 including the system.

[0156] 23. A computer program product which, when executed on a processing device, performs the method according to any one of clauses 1 to 21.

[0157] 24. A computer-implemented method for determining the performance characteristics of an oil-containing and / or surfactant-containing product for cosmetics, wherein the oil-containing product for cosmetics comprises different oils forming a mixture and / or the surfactant-containing product for cosmetics comprises at least one surfactant and further components forming a mixture, the method comprising: - providing composition parameters to a processing device via a communication interface; - providing a data-driven model and / or a rigorous model to the processing device via a communication interface; - using the processing device to determine the determined performance characteristics of an oil-containing and / or surfactant-containing product for cosmetics comprising a mixture, · based on a data-driven model and / or a rigorous model · and composition parameters; - via an output communication interface, · providing the determined performance characteristics of the oil-containing and / or surfactant-containing product for cosmetics, and / or · composition parameters, and / or · the formulation of the mixture, and / or · the formulation of the oil-containing and / or surfactant-containing product for cosmetics. - including the steps of A method as claimed in claim 24.

[0158] 25. The method of clause 24, wherein the composition parameters include measures for the different oils in the mixture and / or the ratios of the surfactant and further components.

[0159] 26. The method of clause 24 or 25, wherein the composition parameters include the performance characteristics for each of the different oils.

[0160] 27. The method according to any one of clauses 24 to 26, wherein the composition parameters include identifiers for each of the oil and / or the surfactant and further components, and the method further includes the step of deriving the performance characteristics for each of the oil and / or the surfactant and further components from the identifiers.

[0161] 28. The method according to any one of clauses 24 to 27, wherein the performance characteristics of each of the different oils and / or surfactants and further components are related to the physicochemical characteristics of each of the different oils and / or surfactants and further components.

[0162] 29. The method according to any one of clauses 24 to 28, wherein the performance characteristics of each of the different oils and / or surfactants and further components are related to the functional characteristics of each of the different oils and / or surfactants and further components.

[0163] 30. The method according to any one of clauses 24 to 29, wherein the oil-containing product for cosmetics comprises at least two different oils, at least three different oils or at least four different oils.

[0164] 31. The method according to any one of clauses 24 to 30, further including the step of providing, via a communication interface, to a processing device the target performance characteristics of a specific oil or mixture of oils and / or a surfactant and further components or a mixture of a surfactant and further components for cosmetics.

[0165] 32. The method step of providing the target performance characteristics is - the step of providing an identifier for a specific oil or a mixture of specific oils and / or a specific surfactant or a specific further component or a mixture of a specific surfactant and a further component, -Deriving the target performance properties of a specific oil or a specific mixture of oils and / or of a specific surfactant or a specific further component or a specific mixture of surfactant and the further component from an identifier of the specific oil or the specific mixture of oils and / or of the specific surfactant or the specific further component or the specific mixture of surfactant and the further component The method of clause 31, preceded by

[0166] 33. A method according to clause 31 or 32, further comprising the step of comparing, by means of a processing device, the target performance properties of a specific oil or a mixture of oils and / or of a specific surfactant or a specific further component or a specific mixture of surfactant and the further component for cosmetics with the determined performance properties of an oil-containing and / or surfactant-containing product for cosmetics, and the step of deriving the result of the comparing step, the comparing step including comparing whether the target performance requirements are met, and providing via an output channel including providing the result of the comparing step

[0167] 34. The method of clause 33, further comprising the step of varying composition parameters and further comprising the step of providing the varied composition parameters as composition parameters

[0168] 35. The method of clause 34, further comprising the step of repeating the method of clause 34 until the target performance properties are met

[0169] 36. The step of varying the compositional parameters includes varying a measure for the ratio of different oils and / or surfactants and / or further components, and / or the step of varying the compositional parameters includes changing at least one identifier of different oils and / or surfactants and / or further components, and / or includes adding additional identifiers of oils and / or surfactants and / or further components, the method of clause 34 or 35.

[0170] 37. A method according to any one of clauses 31 to 36, wherein the target performance characteristics of a specific oil or oil mixture for cosmetics are related to silicone-based oils or mineral oils / paraffin oils.

[0171] 38. A method according to any one of clauses 31 to 36, wherein the target performance characteristics of a specific surfactant or a specific further component or a mixture of a surfactant and a further component are related to surfactants containing alkoxylates and sulfates.

[0172] 40. A system for determining the performance characteristics of an oil-containing and / or surfactant-containing product for cosmetics, wherein the oil-containing product for cosmetics includes different oils forming a mixture, and / or the surfactant-containing product for cosmetics includes at least one surfactant and further components forming a mixture, the system comprising - a communication interface, and - a processing device configured to perform a method according to any one of clauses 24 to 38 A system comprising.

[0173] 41. A computer program product that, when executed on a processing device, performs a method according to any one of clauses 24 to 38.

[0174] 42. Use of a system for determining the performance characteristics of an oil-containing and / or surfactant-containing product for cosmetics according to clause 40 for the manufacture of an oil-containing and / or surfactant-containing product for cosmetics.

[0175] As an example, embodiments of the present invention are shown in the accompanying drawings. However, it should be noted that the accompanying drawings show only specific aspects of the present invention and are therefore not considered to limit its scope. The present invention can include other equally effective embodiments.

Brief Description of the Drawings

[0176]

Fig. 1

Fig. 2

Fig. 3

Fig. 4a

Fig. 4b

Fig. 4c

Fig. 4d

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Embodiments for Carrying Out the Invention

[0177] The present disclosure provides a method for determining the performance characteristics of an oil-containing product for cosmetics, wherein the oil-containing product for cosmetics comprises different oils that form a mixture.

[0178] Figure 1 shows an example of the disclosed method in the form of a simplified flowchart. In this example, it describes determining the performance characteristics of a mixture of two different oils. The first different oil is dicaprylyl ether (Cetiol® OE). The second different oil is coco-caprylate / caprate (Cetiol® LC).

[0179] In step 100, the composition parameters are provided to the processing device via a communication interface. In this example, the composition parameters include identifiers for each of the different oils, and steps are taken to derive the performance characteristics for each of the oils from the identifiers. If performance parameters are derived from the identifiers, the derived performance parameters are also provided as composition parameters. The identifiers in this example are the brand names of each of the oils. In this example, the brand names are input via a keyboard.

[0180] Other means for providing an identifier for each of the oils, such as providing the identifier for each of the oils from a database, are also possible.

[0181] In this embodiment, the performance characteristics for each of the oils are derived from a database.

[0182] Additionally, or alternatively, the method can include a step of selecting one or more of the performance characteristics of each of the different oils. This makes it possible to reduce the number of performance characteristics of each of the oils to those relevant to the task. This reduces the computational power.

[0183] In this example, the performance characteristic for each oil is a single physicochemical performance characteristic. More specifically, the performance characteristic for each oil is the surface tension (SFT); see the following table.

[0184] [Table 1]

[0185] The composition parameter in this example further includes a measure for the ratio of the different oils. In this example, the measure for the mixing ratio of the first different oil is input via a keyboard.

[0186] In other examples, the measure for the mixing ratio of the oils can be derived from the identifier of the oil mixture containing these oils.

[0187] In this example, the measure for the mixing ratio of the second oil is derived from the measure for the mixing ratio of the first different oil. In other cases, the measure for the mixing ratio for each of the different oils can be provided separately for each oil.

[0188] In this example, in step 200, the data-driven model is provided to the processing device via a communication interface. In this example, the data-driven model is a linear mixing model. In other examples, the data-driven model can be a log-log model. In other examples, other data-driven models, such as those described above, can be provided.

[0189] In step 300, the determined performance characteristics of the oil-containing product containing the mixture for cosmetics are determined based on a data-driven model and / or a rigorous model, and compositional parameters, using a processing device.

[0190] The linear model in this example is

[0191]

Number

[0192]

Number

[0193] If the performance characteristics include more than one performance characteristic for each of the different oils, the performance of each oil is represented by a vector

[0194]

Number

[0195]

Table 2

[0196] The performance characteristic vector for the example in Table 2 is thus

[0197]

Number

[0198] For a mixture of two oils, the step of determining the determined properties of the mixture generally

[0199] [Number] can be described as

[0200] [Number] is the mixing ratio of two different oils,

[0201] [Number] is the vector of the performance characteristics of oil i,

[0202] [Number] is the vector of the performance characteristics of the oil mixture. The function f is the mathematical description of the data-driven model.

[0203] An example of a linear data-driven model for multiple n oils is described by the following equation.

[0204] [Number]

[0205] In step 400, via the communication interface, the determined performance characteristics of the oil-containing product for cosmetics are provided. In this example, the performance characteristics of the oil-containing product for cosmetics are provided to the display.

[0206] Providing to the display has the advantage that the information is easily accessible to the user.

[0207] In other examples, the communication interface can provide the determined performance characteristics of the oil-containing product for cosmetics to a database. Providing to the database has the advantage that the information can be retrieved later and can be made available for later use.

[0208] In a further example, the communication interface can simultaneously provide the determined performance characteristics of the oil-containing product for cosmetics to a database and a display.

[0209] Simultaneously providing to the database and the display has the advantage that the information can be retrieved later, can be made available for later use, and is also readily available to the user.

[0210] The method can be extended within the scope of the present invention to three, four, or more than four different oils.

[0211] Alternatively, the performance characteristics can be either any of the physicochemical characteristics or any of the sensory characteristics. As a further alternative, the performance characteristics can include more than one performance characteristic for each of the different oils.

[0212] FIG. 2 shows an example of a system 1000 for determining the performance characteristics of an oil-containing product for personal care, and more particularly for cosmetics.

[0213] The system is configured to perform method steps 100 to 400 as described above in the context of FIG. 1. FIG. 2 focuses on showing the conceptual apparatus in the present invention.

[0214] In this embodiment, the system includes a communication interface 1100 for providing composition parameters to a processing device 1200 and for providing a data-driven model and / or a rigorous model to the processing device.

[0215] The system further includes a physical input device 1300 connected to the communication channel. In this example, the physical input device is a keyboard.

[0216] In other embodiments, the performance characteristics for each of the different oils can be provided by the physical input device. This enables the use of the system for determining the performance characteristics of oil-containing products for cosmetics even when the performance characteristics for each of the different oils are not available for all of the different oils. This can increase the adaptability of the system.

[0217] The system further includes a logical input device 1400. The logical input device in this case is a database in which the performance characteristics for different oils and / or mixtures of oils are stored.

[0218] In this example, a measure of the ratio of the different oils in the mixture is provided as a compositional parameter to the communication interface 1100 via the database 1400.

[0219] In other examples, a measure of the ratio of the different oils in the mixture can be provided as a compositional parameter to the communication interface by entering it into the keyboard 1300.

[0220] In this example, the data-driven model and / or the rigorous model are provided to the communication interface 1100 via the database 1400.

[0221] The system further includes an output device 1500. The communication interface provides to the output device the determined performance characteristics of the oil-containing product for personal care and / or a measure of the ratio of the different oils in the mixture and / or the formulation of the mixture, and / or the formulation of the oil-containing product for cosmetics. In this example, the output device is a display. The formulation of the oil-containing product can contain additives such as water, preservatives, emulsifiers.

[0222] In yet another example, the output device can be a database. In yet a further example, the output device can be a combination of a display and a database.

[0223] The processing device 1200 is configured to perform steps outlined in the context of the method described in FIG. 1.

[0224] FIG. 3 is a plot of determined performance characteristics of an oil-containing product, particularly for personal care, and more particularly for cosmetics, wherein the oil-containing product for personal care contains different oils that form a mixture, and shows a plot for various measures regarding the ratios of the different oils in the mixture. The X-axis refers to the ratio of Oil 1 in the mixture. The oil in this example is Cetiol OE, and the second oil in this example is Cetiol LC. The determined performance characteristic is SFT. It can be seen that there is a linear relationship between the measures regarding the ratios of the different oils in the mixture and the determined performance characteristic. Some measured performance characteristics are also provided and shown at the selected mixing ratios. Examples of the determined and measured values for different mixing ratios are shown in Table 3.

[0225]

Table 3

[0226] FIGS. 4a - d show examples of physicochemical properties for which determined performance characteristics can be determined based on a data-driven model. In these cases, the data-driven model is a simple linear model. Each data point is related to the ratio of a mixture of different oils having various chemistries. The data-driven model accurately captures the performance for some of the mixtures.

[0227] Figures 5a) - b) show that non - linear data - driven models can also occur. In this example, the viscosities of dicaprylyl ether (Cetiol® OE) and glyceryl tri(caprylate / caprate) (Myritol® 318) were provided as performance characteristics. Figure 5a) shows a plot of the measured viscosities of mixtures of dicaprylyl ether (Cetiol® OE) and glyceryl tri(caprylate / caprate) (Myritol® 318) at various ratios. It is clearly seen that the viscosity of the mixture does not change linearly with the ratio between the two oils, but follows a sub - linear log - log behavior. Also shown is the fit to the derived data - driven model, which is a log - log model. Figure 5b) shows the behavior of the log - log model compared to the experimentally measured viscosities of several oil mixtures with different chemical properties. The model that fits the viscosity of the oil mixture is in the following form:

[0228]

Number

[0229] Figure 6 shows a flowchart of a further aspect. In this example, an alternative use of a method for determining the performance characteristics of an oil - containing product for cosmetics is disclosed, where the oil - containing product for cosmetics contains different oils that form a mixture.

[0230] In step 750, the target performance characteristics of the oil or oil mixture for the cosmetic are provided to the processing device via a communication channel. In this example, the step of providing the target performance characteristics of the oil or oil mixture for the cosmetic to the processing device via a communication channel is preceded by step 770 of providing an identifier of a specific oil or a specific oil mixture, and step 800 of deriving the target performance characteristics from the identifier of the specific oil or the specific oil mixture. In this example, the method is applied to only one specific oil. The identifier of the specific oil in this example is cyclopentasiloxane / cyclomethicone. The task described by this flowchart is to identify a new oil mixture and its ratio that match the characteristics of the specific / target oil, cyclomethicone.

[0231] The target performance characteristics used in this example include, as physical characteristics, viscosity, spreadability, density, RI, IFT, SFT, and as sensory characteristics, thickness, gloss, powdery feel, silicone feel, wettability, distribution, thickness, rubbing for absorbency, oil, amount of oil and grease in the residue, dryness, gloss, slipperiness, smoothness, thickness of the residue, % of oily shine, % of oiliness, % of powdery feel, silicone feel, slipperiness and adhesiveness. In other examples, the target performance characteristics can be only one physical characteristic or one sensory characteristic, or any combination of physical and / or sensory characteristics. The target performance characteristics are derived from a database.

[0232] In this example, in step 2200, a data-driven model is provided to the processing device via a communication interface. In this example, providing the data-driven model includes providing a data-driven model for each performance characteristic.

[0233] In step 2100, the composition parameters are provided to the processing device via a communication interface. In this example, the composition parameters include an identifier for each of the different oils, and a step is performed to derive the performance characteristics for each of the oils from the identifier.

[0234] When performance parameters are derived from identifiers, the derived performance parameters are also provided as compositional parameters. The identifier in this example is the respective brand name of the oil. In this example, the brand name was selected from a list of oils in a database. Other means of providing an identifier are also possible, for example, providing the respective identifier of the oil via a keyboard.

[0235] Providing an identifier via a database is particularly useful when the method is automated.

[0236] The identifier in this example was based on a two-component oil. In other examples, tertiary and quarterly systems are also possible. In principle, there is no upper limit on the number of different oils. The two-component oil in this example includes Cetiol C5 and Cetiol Ultimate, both of which are trademarks of BASF.

[0237] In this example, the performance parameters for each of the different oils are derived from the identifier. In this embodiment, the performance characteristics for each of the oils are derived from a database. The derived performance parameters are also provided as compositional parameters. As a result, the performance characteristics of Cetiol C5 and Cetiol Ultimate are also provided as compositional parameters. In this example, the performance characteristics provided include, as physical characteristics, viscosity, spreadability, density, RI, IFT, SFT, and as sensory characteristics, thickness, gloss, powdery feel, silicone feel, wettability, distribution, thickness, rubbing for absorbency, oil, oil amount of residue, dryness, gloss, slipperiness, smoothness, thickness of residue, % oiliness, % silicone feel, % powdery feel, silicone feel, slipperiness and adhesiveness. In this case, the performance characteristics provided are the same as the target performance characteristics. This makes it possible to best meet the target performance characteristics. In other examples, only a subset of the target performance characteristics can be provided as the performance characteristics for each of the oils.

[0238] Additionally, or alternatively, the method can include the step of selecting one or more of each of the performance characteristics of the oil. This enables reducing the number of each of the performance characteristics of the oil to the performance characteristics relevant to the task. This reduces the computational power.

[0239] In this example, the compositional parameter also includes a measure for the ratio of the different oils in the mixture. In this example, the mixing ratio is fixed and reflects the initial value.

[0240] In other examples, a measure for the mixing ratio of the first different oil can be input via the keyboard, and the measure for the mixing ratio of the second oil is derived from the measure for the mixing ratio of the first different oil.

[0241] In other cases, the measure for the mixing ratio for each of the different oils can be provided separately for each of the oils.

[0242] In this example, the measure for the mixing ratio of the first different oil is x1 = 1.

[0243] In step 2300, the performance characteristics of the oil-containing product for the cosmetic containing the mixture are determined using a processing device, and using the processing device, the determined performance characteristics of the oil-containing product for the cosmetic based on the data-driven model, the performance characteristics for each of the different oils, and the measure for the ratio of the different oils in the mixture are determined.

[0244] In step 2400, the target performance characteristics of a specific oil or oil mixture for the cosmetic are compared with the determined performance characteristics of the oil-containing product for the cosmetic. The result of the comparing step is generated.

[0245] In this example, comparing the target performance characteristics of a specific oil or oil mixture for the cosmetic with the determined performance characteristics of the oil-containing product for the cosmetic is

[0246]

Number

[0247] [Number] is related to the target property of the selected oil or oil mixture,

[0248] [Number] is related to the determined performance property of the oil mixture), including calculating the value of the error function according to this. The result of the comparison step in this example is the value of the error function. In other cases, the result can be a binary value that reflects whether the target performance property matches.

[0249] In step 2500, the composition parameters of the oil mixture vary. This composition parameter can be a measure of the ratio of different oils in the mixture. In this example, the step of varying the composition parameter includes varying the measure of the ratio of different oils. In this example, the step of varying is repeated until the performance requirement is met. In this example, meeting the performance requirement is related to minimizing the above error function.

[0250] The result of the comparison step can be provided via a communication interface. As a result, the following table can be provided.

[0251] [Table 4]

[0252] In this example, the step of varying the composition parameter further includes changing at least one identifier of different oils.

[0253] In this example, at least one identifier of the different oils that are changed is the brand name of Cetiol Ultimate. In this example, the identifier is changed to Cetiol RLF.

[0254] The varied composition parameters are then provided as composition parameters.

[0255] This enables an iterative optimization process.

[0256] Finally, in the following table, for the target silicone oil, cyclomethicone, the corresponding mixing ratios for 2-component mixtures as four examples, and the values of the optimized error function calculated through the routine outlined in Figure 6 are shown. This table is derived by j iteratively changing the identifier of the oil and providing the results of the comparison step together with the minimum value of the error function.

[0257]

Table 5

[0258] Figure 7 shows an example of the fit between the performance profile

[0259]

No.

[0260]

No.

[0261] In step 500, the finally determined performance characteristics of the oil-containing product for personal care can be provided via the communication interface.

[0262] In this example, the performance characteristics of the oil-containing product for personal care are provided on the display, together with the oil (name) as a component and the mixing ratio.

[0263] FIG. 8 shows an embodiment of a system 12, particularly an Internet-based system 12, for determining the performance characteristics of an oil-containing and / or surfactant-containing product for cosmetics. The Internet-based system 12 can include a server 14 that includes a processing device 16 accessible by one or more client devices 10 via, for example, a communication interface 18, for example a network 20, for example the Internet. The client device 10 can be a computer terminal accessible by a user and can be a customized device, such as a data entry kiosk, or a general-purpose device, such as a personal computer. Preferably, the server 14 is an HTTP server and is accessed via conventional Internet web-based technology. The server 14 can be connected to additional client devices 10 and can be connected to a manufacturing facility 22 either directly or indirectly through a network. The server 14 can be configured to initiate a request to start a method for determining the performance characteristics of an oil-containing and / or surfactant-containing product for cosmetics. The manufacturing facility 22 can be located in proximity to the server 14 and can be part of an overall customized ordering and manufacturing system. Alternatively, the manufacturing facility 22 can be located remotely from both the server 14 and the client device 10. For example, the performance characteristics of an oil-containing and / or surfactant-containing product for cosmetics can be sent directly to the manufacturing facility 22, for example via email. In yet another embodiment, the manufacturing facility 22 can be located in proximity to the client device 10. This arrangement is particularly suitable for a kiosk-based on-demand manufacturing system and can be located, for example, within the premises of a point-of-sale. These three potential connections to the manufacturing facility 22 are shown in FIG. 8. A plurality of manufacturing facilities 22 located in different locations may be provided, or only one connection may be made.

Explanation of Reference Numerals

[0264] 10 Client device 12 Internet-based system 14 Server 16 Processing device 18 Communication interface 20 Network 22 Manufacturing facility 1000 System 1100 Communication interface 1200 Processing device 1300 Physical input device / Keyboard 1400 Logical input device / Database 1500 Output device

Claims

1. A computer-implemented method for determining the performance characteristics of an oil-containing and / or surfactant-containing product for cosmetics, wherein the oil-containing product for cosmetics comprises different oils forming a mixture, and / or the surfactant-containing product for cosmetics comprises at least one surfactant and further components forming a mixture, the method comprising: - providing composition parameters to a processing device via a communication interface; - providing a data-driven model and / or a rigorous model to the processing device via a communication interface; - using the processing device to determine the determined performance characteristics of an oil-containing and / or surfactant-containing product for cosmetics comprising a mixture, · based on a data-driven model and / or a rigorous model · and composition parameters; - determining based thereon; - via an output communication interface, · the determined performance characteristics of an oil-containing and / or surfactant-containing product for cosmetics, and / or · composition parameters, and / or · the formulation of the mixture, and / or · the formulation of an oil-containing and / or surfactant-containing product for cosmetics - providing. A method comprising.

2. The method according to claim 1, wherein the composition parameters include measures for different oils in the mixture and / or the ratio of the surfactant and further components.

3. The method according to claim 1 or 2, wherein the composition parameters include the performance characteristics for each of the different oils.

4. The method according to any one of claims 1 to 3, wherein the composition parameters include identifiers for each of the oil and / or the surfactant and further components, and the method further comprises deriving the performance characteristics for each of the oil and / or the surfactant and further components from the identifiers.

5. The method according to any one of claims 1 to 4, wherein the performance characteristics of each of the different oils and / or the surfactant and further components are related to the physicochemical characteristics of each of the different oils and / or the surfactant and further components.

6. The method according to any one of claims 1 to 5, wherein the performance characteristics of each of the different oils and / or the surfactant and further components are related to the sensory properties of each of the different oils and / or the surfactant and further components.

7. The method according to any one of claims 1 to 6, wherein the oil-containing product for cosmetics comprises at least two different oils, at least three different oils or at least four different oils.

8. The method according to any one of claims 1 to 7, further comprising the step of providing, via a communication interface, to a processing device target performance characteristics of a specific oil or mixture of oils for cosmetics and / or a surfactant and a further component or a mixture of a surfactant and a further component.

9. The method step of providing target performance characteristics - comprises the steps of providing an identifier of a specific oil or mixture of specific oils and / or a specific surfactant or specific further component or a mixture of a specific surfactant and a further component, - deriving target performance characteristics of a specific oil or mixture of specific oils and / or a specific surfactant or specific further component or a mixture of a specific surfactant and a further component from the identifier of a specific oil or mixture of specific oils and / or a specific surfactant or specific further component or a mixture of a specific surfactant and a further component preceded by the method according to claim 8.

10. The method according to claim 8 or 9, further comprising the step of comparing, by a processing device, target performance characteristics of a specific oil or mixture of oils for cosmetics and / or a specific surfactant or specific further component or a mixture of a specific surfactant and a further component with determined performance characteristics of an oil-containing and / or surfactant-containing product for cosmetics, and deriving the result of the comparing step, the comparing step including comparing whether the target performance requirements are met, and providing via an output channel further including providing the result of the comparing step.

11. The method according to claim 10, further comprising the step of varying compositional parameters and further comprising the step of providing the varied compositional parameters as compositional parameters.

12. The method according to claim 11, further comprising the step of repeating the method according to claim 11 until the target performance characteristics are met.

13. The step of varying the compositional parameters includes varying a measure for the ratio of different oils and / or surfactants and / or further components, and / or the step of varying the compositional parameters includes changing at least one identifier of different oils and / or surfactants and / or further components, and / or includes adding additional identifiers of oils and / or surfactants and / or further components, the method according to claim 11 or 12.

14. The method according to any one of claims 8 to 13, wherein the target performance characteristics of a particular oil or mixture of oils for cosmetics are related to silicone-based oils or mineral oils / paraffin oils.

15. The method according to any one of claims 8 to 13, wherein the target performance characteristics of a particular surfactant or a particular further component or a mixture of a surfactant and a further component are related to alkoxylate and sulfate-based surfactants.

16. A system (12) for determining the performance characteristics of an oil-containing and / or surfactant-containing product for cosmetics, wherein the oil-containing product for cosmetics comprises different oils forming a mixture, and / or the surfactant-containing product for cosmetics comprises at least one surfactant and further components forming a mixture, the system (12) comprising - a communication interface (18), and - a processing device (16) configured to perform the method according to any one of claims 1 to 15 A system comprising.

17. A computer program product for performing the method according to any one of claims 1 to 15 when executed on a processing device.

18. Use of a system for determining the performance characteristics of an oil-containing and / or surfactant-containing product for cosmetics according to claim 16 for the manufacture of an oil-containing and / or surfactant-containing product for cosmetics.

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