Determining performance in formulations for oil-containing cosmetic products
A data-driven model predicts the performance of oil-containing cosmetic products, reducing testing time and cost while enabling the use of sustainable ingredients.
Patent Information
- Application Number
- JP2022554760
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2020-03-13
- Filing Date
- 2021-03-12
- Publication Date
- 2025-08-13
- Estimated Expiration
- 2041-03-12
AI Technical Summary
Existing methods for determining the properties of oil-containing cosmetic products are time-consuming and expensive, relying heavily on sensory and physicochemical testing.
A data-driven model is employed to predict the performance characteristics of oil-containing and surfactant-containing products by analyzing the relationship between the ratios of different oils and surfactants in mixtures, using a processing device and communication interface to input and derive performance properties based on historical data and compositional parameters.
This approach significantly reduces the time and cost associated with testing by accurately predicting performance characteristics, allowing for rapid formulation development and substitution of non-environmentally friendly ingredients with sustainable alternatives.
Smart Images

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Abstract
Description
[Technical Field]
[0001] The present disclosure relates to systems, methods and computer program products for determining the performance characteristics of oil-containing and / or surfactant-containing products, particularly for personal care, more particularly for cosmetics, where the oil-containing product comprises different oils forming a mixture, and / or the surfactant-containing product for cosmetics comprises at least one surfactant and further ingredients forming a mixture. [Background technology]
[0002] A clear view of consumer demands and identification 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 the opportunities and possibilities that lie in these emerging trends.
[0003] These new trends also include the development of new formulations for oil-containing cosmetic products. Changes in formulation have a significant impact on the comfort of wearing and applying a cosmetic product, and on the consumer's impression of the product's organoleptic properties.
[0004] New formulations for oil-containing cosmetic products are tested through time-consuming and expensive testing.
[0005] For example, sensory testing involves trained human testers applying new formulations to the skin and then rating the sensory value of the formulation.
[0006] Extensive testing of the physicochemical properties of new formulations for oily products is also required when developing new formulations. [Prior art documents] [Patent documents]
[0007] [Patent Document 1] US Patent Application Publication No. 2002 / 082745 Summary of the Invention [Problem to be solved by the invention]
[0008] The object of the present invention is to provide a system and method for determining the properties of a personal care product containing at least two oils.
[0009] Products in the cosmetic industry contain a wide range of mixtures of ingredients, including oils. In the personal care industry, the term often used for oils is emollient. Oils play an essential role in moisturizing and also affect the absorption of cosmetic products.
[0010] Thus, there is a need for a system and method for predicting the properties of cosmetic formulations containing oils.
[0011] U.S. Patent Application Publication No. 2002 / 082745 describes a method and system for selecting and producing customized cosmetic or pharmaceutical formulations. The system can be implemented in an internet-based system or stand-alone, such as a kiosk. A method for custom formulation is presented that utilizes user preferences and profiles as well as external factors. The customized formulation can be directed to a manufacturing facility for on-demand production. Alternatively, a printout of the formulation can be provided for subsequent use at the point of sale, such as a cosmetics store or pharmacy. The custom formulation software can also be provided in conjunction with a cosmetic manufacturing kit for home use or at-work application. [Means for solving the problem]
[0012] According to one aspect of the first invention, there is provided a computer-implemented method for determining the performance characteristics of an oil-containing and / or surfactant-containing product, in particular for personal care, more in particular 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 ingredients forming a mixture, - providing input composition parameters for each of the different oils to the processing device via a communication interface; - providing the data-driven model and / or the rigorous model to a processing device via a communication interface; - determining performance properties of oil-containing and / or surfactant-containing products, including mixtures, in particular for personal care, more particularly for cosmetics, using a processing device, Data-driven models, and Composition parameters determining based on -through the communication interface, Determined performance properties of oil-containing and / or surfactant-containing products, in particular for personal care, more in particular for cosmetics, and / or a measure for the ratio of different oils and / or surfactants and further ingredients in the mixture, and / or Formulating mixtures, and / or Formulation of oil-containing and / or surfactant-containing products, especially for personal care, more especially for cosmetics Steps to provide A method is proposed which includes:
[0013] Generally, the data-driven model describes the relationship between the performance characteristics of each of the oils in the mixture, measures 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 measures for the ratios of the different oils in these mixtures. The data-driven model describes the relationship between the performance characteristics of each of the surfactants and / or additional components in the mixture, measures of the ratios of the different surfactants and / or additional 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 additional components in the mixture and measures for the ratios of the surfactants and additional 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 measures for the ratios of the different oils and / or surfactants in these mixtures.
[0014] A data-driven model refers to a model that is derived at least in part from data. This contrasts with a rigorous model, which is derived purely using physico-chemical laws. The use of a data-driven model can describe relationships that cannot be modeled using physico-chemical laws. The use of a data-driven model can describe relationships without solving equations from physico-chemical laws, which can reduce computational power and improve speed. Data-driven models can be derived from statistics (Statistics, 4th ed., David Freedman et al., W.W. Norton & Company Inc., 2004). Data-driven models can be derived from machine learning (Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey, Artificial Intelligence Review, Vol. 52, pp. 77-124 (2019), Springer).
[0015] The data-driven model can be a regression model. The data-driven model can be a mathematical model. The mathematical model can describe the relationship between the provided performance characteristic and the determined performance characteristic as a function. The data-driven model can be any other machine learning model.
[0016] The data-driven model can be a machine learning model. The data-driven model can be trained based on "historical" compositional parameters, "historical performance characteristics," or quantum mechanical descriptors, such as those described in CC Pye, T. Ziegler, E. van Lenthe, JN Louwen, Can. J. Chem. 87, 790 (2009).
[0017] Cosmetics are personal care products, including, but not limited to, products that can be applied to the face, body, hands / nails, feet, hair, and mouth (e.g., skin care creams, sunscreens, lipsticks, deodorants, lotions, powders, perfumes, baby products, bath oils, bubble baths, fingernail and toe nail polishes, and hand sanitizers, hair dyes, hairsprays, gels, shampoos, conditioners, bath salts, and body butters).
[0018] Cosmetics often contain oil or a mixture of different oils. Cosmetics may contain surfactants and other ingredients. For cosmetics, user experience is very important. User experience depends, inter alia, on the performance properties of different oils in oil-containing products and / or surfactants and other ingredients in surfactant-containing products.
[0019] Oils in the sense of the present application also include cosmetic oil ingredients.
[0020] The cosmetic oil component may be selected from the group consisting 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, mineral oil (parafinum 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), Caprylyl Caprylate / Caprate (Cetiol® RLF), Myristyl Myristate (Cetiol® MM), Capric Acid Glyceride, Coco-Glyceryl (Myritol® 331), Caprylic / Capric Triglyceride (Myritol® 312), Caprylic / Capric Triglyceride (Myritol® 318), C12-15 Alkyl Benzoate (Cetiol® AB), PPG-3 Benzyl Ether Myristate, C12-13 Alkyl Lactate, Isodecyl Salicylate, Alkyl Malate malate), isoamyl laurate, propylheptyl caprylate, butyloctyl salicylate, polycrylene, dicaprylyl carbonate (Cetiol® CC), dicaprylyl ether (Cetiol® OE), octyldodecyl 2-myristate, isohexadecane, dimethylcapramide, squalene, isopropyl isostearate, isostearyl isostearate, decyl oleate (Cetiol® V), oleyl erucate (Cetiol® J)600), cetearyl ethylhexanoate (Luvitol® EHO), octyldodecanol (Eutanol® G), hexyldecanol (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 dinonanoate (propylene glycol dipelargonate, diisopropyl sebacate, cetearyl isononanoate (Cetiol® SN), isononyl isononanoate, isocetyl stearoyloxystearate, dipentaerithrityl hexacaprylate / hexacaprate, isodecyl neopentanoate, PEG-6 caprylic / capric glyceride (Cetiol® 767), caprylic / capric triglyceride (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 hexyldecanol (Cetiol® PGL), hexyldecyl stearate (Eutanol® G 16S), PPG-15 stearyl ether (CETIOL® E), ethylhexyl palmitate (CEGESOFT® C24).
[0021] Further fatty acid esters include 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, palmitic acid Isostearyl, 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] Guerbet alcohols, Guerbet acids, Guerbet esters, preferably Guerbet esters of linear C6-22 fatty acids with branched alcohols, in particular Guerbet esters of linear C6-22 fatty acids with branched alcohols, with C6-C18, preferably C8-C10, fatty alcohols, more in particular 2-ethylhexanol; esters of C18-38 alkylhydroxycarboxylic acids with linear or branched C6-22 fatty alcohols, more in particular dioctyl malate; esters of linear and / or branched fatty acids with polyhydric alcohols (for example propylene glycol, dimerdiol or trimertriol) and / or Guerbet alcohols, triglycerides based on C6-10 fatty acids, liquid mono-, di- and triglyceride mixtures based on C6-18 fatty acids; C6-22 fatty alcohols and / or Guerbet alcohols. Also suitable are esters of C2-12 dicarboxylic acids with aromatic carboxylic acids, more particularly benzoic acid, esters of C2-12 dicarboxylic acids with linear or branched alcohols containing 1 to 22 carbon atoms or polyols containing 2 to 10 carbon atoms and 2 to 6 hydroxyl groups, vegetable oils, branched primary alcohols, substituted cyclohexanes, Guerbet carbonates based on fatty alcohols containing 6 to 18, preferably 8 to 10, carbon atoms, esters of benzoic acid with linear and / or branched C6-22 alcohols (e.g. Finsolv® TN), linear or branched, symmetrical or asymmetrical dialkyl ethers containing 6 to 22 carbon atoms per alkyl group, such as dicaprylyl ether (Cetiol® OE), and ring-opening products of epoxidized fatty acid esters with polyols.
[0023] Further suitable oil components are Elaeis guiineensis oil (Cegesoft® GPO), Passiflora incarnata seed oil (Cegesoft® PFO), olive oil, olus oil (Cegesoft® PS6), Butyrospermum parkii butter (Cetiol® SB 45), ethylhexyl cocoate (and) Cocos Nucifera Oil (CETIOL® COCO), Shorea stenoptera seed oil (Cetiol® SB 45), ethylhexyl palmitate (and) ... butter) (Cegesoft® SH), almond oil, avocado oil, borage oil, canola oil, castor oil, chamomile, 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, castor oil, lanolin, hydrogenated vegetable oils, candelilla wax, Euphorbia vegetable oil (Cegesoft® VP), sterols and derivatives.
[0024] Additionally, silicones and silicone derivatives, such as polydimethylsiloxane, methicone, dimethicone, cyclomethicone, caprylyl methicone, dimethicone copolyol, undecyl chloride dimethicone, dimethiconol, trimethicone, organosiloxanes, are used as oil components in cosmetic compositions.
[0025] Surfactants in the sense of the present application 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 benzol sulfonates, linear alkyl benzene sulfonates, oleic acid sulfonates, polyalkylene glycols, alcohol ethoxylates, alkyl polyglucosides, amine ethoxylates, amino polyols, and unsaturated alcohol ethoxylates.
[0026] The surfactants are preferably C8-C16 fatty alcohol glycoside (Plantacare® 818), C8-10 fatty alcohol glucoside (Plantacare® 810), lauryl glucoside (Plantacare® 1200), C8-C16 fatty alcohol glycoside (Plantacare® 2000), cocamidopropyl betaine (Dehyton® PK 45), sodium laureth sulfate (Texapon® N 70), sodium cocoyl glutamate (Plantapon® ACG 50), sodium lauryl sulfate (Texapon® K 12), ammonium lauryl sulfate (Texapon® ALS 70), sodium laureth 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) isethionates, taurates and amino acid surfactants.
[0027] The further component may be a solution, for example an aqueous and / or oily solution, for example a 2% surfactant solution in water may be used.
[0028] The measure of the ratio of different oils in a mixture indicates the quantity, amount, or size relationship 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, mixture ratio, or molar ratio.
[0029] The measure of the ratio of different surfactants and / or additional components in a mixture indicates the quantity, amount, or size relationship between two or more different surfactants and / or additional components. The measure of the ratio of different surfactants and / or additional components can be relative or absolute. The measure of the ratio of different surfactants and / or additional components can be, for example, weight percent, volume percent, mixture ratio, or molar ratio.
[0030] The recipe 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 recipe of the mixture can include an identifier for each of the different surfactants and / or further ingredients. In particular, this can include an identifier for each of the different surfactants and / or further ingredients that make up the mixture.
[0031] The communication interface provides information to and from the processing device. The communication interface can enable the transfer of information with input devices and / or output devices. The communication interface can enable the transfer of information within the processing device. The communication interface can enable the transfer of information with the memory of the processing device.
[0032] The input device can be a physical and / or logical input device, for example a keyboard, a mouse, a touch screen, a touch pad, a microphone, a 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, etc. The output device can be connected to the communication interface in a wired or wireless manner.
[0035] The processing device can be, for example, a general purpose computer, a CPU, a microprocessor, an FPGA, a network of computers, or a network of CPUs.
[0036] The performance properties of an oil or a mixture of different oils may be related to the physicochemical properties of the oil or different oils, such as density, refractive index, surface tension, interfacial tension, spreadability, viscosity, dielectric constant, molecular weight, equivalent alkane carbon number (EACN).
[0037] The performance properties of the surfactant and / or further ingredients may relate to the physicochemical properties of the surfactant and / or further ingredients, such as the dynamic surface tension, the dynamic interfacial tension, the foam height, in particular t=0 s to 300 s, the foaming and collapse of the bubbles, the size and number of the bubbles and their collapse, the foam elastic constant (G'), the viscosity increase upon addition of salt, the sensory feel on the hair.
[0038] The compositional parameters may be compositional parameters of a mixture.
[0039] In one aspect, the compositional parameters may include a measure of the ratio of different oils in the mixture and / or a measure of the ratio of different surfactants and / or additional ingredients in the mixture.
[0040] In one aspect, the compositional parameters can include performance characteristics for each of the different oils and / or each of the different surfactants and / or additional ingredients.
[0041] In one aspect, the compositional parameters may include an identifier for each of the different oils and / or each of the surfactants and / or further ingredients.
[0042] In one aspect, the performance characteristics of each of the different oils are derived from the identifiers for each of the different oils and / or the performance characteristics of each of the different surfactants and / or further ingredients are derived from the identifiers for each of the different surfactants and / or further ingredients.
[0043] In one aspect, the performance properties of the oil and / or surfactant or further ingredient may be physicochemical properties.
[0044] Physicochemical properties can be determined by experimental measurements, with little (and often negligible) error.
[0045] The use of physicochemical properties of oils or oil mixtures and / or surfactants or further components or surfactant and further component mixtures has the advantage that they are easily accessible. They can either be measured in a laboratory or provided from a data sheet or database. A further advantage is that they are generally almost error-free. Generally, the data in a data sheet or database is derived from measurements.
[0046] In one aspect, the physicochemical properties may relate to, for example, density, refractive index, surface tension, interfacial tension, physical spreadability, viscosity, dielectric constant, 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 divided by the speed of light in the product. It is measured using standard equipment for measuring refractive index.
[0048] Surface tension: The force that holds a unit length of interface between oil and air. It is typically measured using the "Wilhelmy plate method (plate tensiometer)."
[0049] Liquid-liquid interfacial tension: the force holding a unit length of the interface between oil and water. It is typically measured using the "pendant drop" method.
[0050] Spreadability / spreading value: The area over which a certain amount of oil is spread 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. It can be measured using a standard rheometer.
[0052] The dielectric constant can be measured using a Qumat 02600 Dekameter instrument, the EACN method developed by BASF Dusseldorf [TH 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): 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 0.52 mm diameter cannula (DataPhysics Instruments GmbH, Filderstadt, Germany) is used for the measurements. The cannula is used to form water droplets in the respective oil-filled cuvettes, and the droplet size is adjusted to the maximum stable volume in 5 μl steps to ensure the highest sensitivity of the method. The LaPlace-Young method is used to evaluate the droplet size, 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, along with their standard deviation.
[0055] In one aspect, the physicochemical properties may relate to, for example, dynamic surface tension, dynamic interfacial tension, foam height, especially from t=0 s to 300 s, foaming and bubble collapse, size and number of bubbles and their collapse, foam elastic constant (G'), viscosity increase upon addition of salt, sensory feel on hair, etc. All physicochemical properties are standard physicochemical properties for characterizing surfactants and are known to those skilled in the art.
[0056] Reference will be made below to oil-containing products, which are representative of both oil-containing and surfactant-containing products.
[0057] In one aspect, the performance characteristics of the oil may be the organoleptic characteristics of the oil.
[0058] Sensory attributes primarily determine how oil-containing products for personal care, especially cosmetic oils, are perceived on human skin. To make this a measurable property, several sensory attributes have been defined (e.g., thickness, gloss, powdery feel, silicone feel, etc.). These may be defined differently in different laboratories. Sensory attributes usually have to be measured by trained panelists and are not available from data sheets / databases. The number of panelists can be about 10 to 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 attribute, panelists rate the oil-containing products. This rating is done on a monadic scale (0-100). The final value of the sensory attribute for rating the oil-containing products is taken as the mean or median value from all panelists.
[0060] Since sensory attributes are evaluated by humans, even though they are trained, the values may have a large scatter (statistical deviation). At the same time, sensory attributes are sought after because they give customers valuable information about their perception of oil-containing products for personal care, especially cosmetics.
[0061] The use of sensory attributes has the advantage that these attributes are the most relevant to describe the user experience of a cosmetic product. Sensory attributes usually have to be measured by trained sensory testers and are not available from data sheets / databases.
[0062] In one aspect, the sensory attributes relate to, for example, thickness, gloss, powdery feel, silicone feel, wetness, distribution, thickness, rubs to absorbency, oil, oiliness of residue, dryness, gloss, slipperiness, smoothness, residue thickness, % greasy feel, % oily feel, % powdery feel, silicone feel, slipperiness, and stickiness. The individual sensory attributes are self-explanatory according to their names. These attributes can be categorized as those measured immediately after application (TI, immediate), the rub-out phase (RO), and those measured N minutes after application, where N is, but is not limited to, 5 minutes, 20 minutes, etc.
[0063] The above example is instructive as it is well suited to describing the user experience of a cosmetic product.
[0064] Currently, the performance characteristics of new oil-containing products containing different oils for personal care, especially cosmetics, must be determined by testing.
[0065] A new test must be performed for each scale for a different ratio of oils in the mixture, which, as noted above, is time consuming and expensive.
[0066] An 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, will be greatly 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. The performance characteristic for each of the different oils can be one sensory characteristic. The performance characteristic for each of the different oils can be one physicochemical characteristic.
[0068] The performance characteristic for each of the different oils can be a plurality of performance characteristics for each of the different oils. The performance characteristic can be any combination of physicochemical characteristics. The performance characteristic can be any combination of organoleptic characteristics. The performance characteristic can be any combination of physicochemical and organoleptic characteristics.
[0069] In one embodiment, the oil-containing product for personal care comprises at least two different oils.
[0070] In one embodiment, the oil-containing product for personal care comprises at least three different oils.
[0071] By combining three oils to create new oil-containing products, greater variation in performance characteristics for the new oil-containing products is achieved.
[0072] In one embodiment, an oil-containing product for personal care comprises a mixture of at least four different oils.
[0073] By combining the four oils to create new oil-containing products, even greater variation in performance characteristics for the new oil-containing products is achieved.
[0074] In one embodiment, the surfactant-containing product for personal care comprises at least two different surfactants and / or additional ingredients, and may also comprise multiple different oils, for example, two, three, or four different oils.
[0075] In one embodiment, the surfactant-containing product for personal care comprises at least three different surfactants and / or additional ingredients, and may additionally comprise multiple different oils, for example, two, three, or four different oils.
[0076] By combining multiple oils and / or surfactants and / or additional ingredients to create new oil-containing and / or surfactant-containing products, greater variation in performance characteristics for the new oil-containing and / or surfactant-containing products is achieved.
[0077] In one embodiment, a surfactant-containing product for personal care comprises a mixture of at least four different oils and / or surfactants and / or additional ingredients.
[0078] In one aspect, the step of providing the performance characteristics of each of the oils may be preceded by 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 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 structure, brand names, a CAS number.
[0081] The use of oil identifiers rather than performance characteristics greatly increases the usefulness of the method.
[0082] Deriving the performance characteristics for each of the different oils from the identifiers 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 be preceded by 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 for each of the surfactants and / or further components from the identifier for each of the surfactants and / or further components.
[0084] The identifier for each different oil can be an internal label, a chemical structure, a brand name, a CAS number. Using the oil identifier rather than a performance characteristic greatly increases the usefulness of the method.
[0085] Deriving the performance characteristics for each of the different surfactants and / or further ingredients from the identifiers can be done by retrieving the performance characteristics from a database.
[0086] In another aspect, it may also include providing the processing device via the communication interface with target performance characteristics of a particular oil or mixture of oils, and / or a particular surfactant or particular further component, and / or a mixture of surfactants and / or further components.
[0087] In one aspect, the target performance characteristic can be the performance characteristic of a known / actual oil or oil mixture. This can occur, for example, when trying to replace an undesired oil. An oil may be undesired if it is not environmentally friendly. An oil may be undesired if it does not have approval for use in cosmetics.
[0088] The target performance characteristics for a particular oil or oil blend can be requirements for a new formulation or a new oil blend. This can occur when a new formulation needs to be designed to meet certain performance characteristic requirements. In such cases, the target performance requirements can be provided by the customer, for example, based on market research.
[0089] In one aspect, the target properties of specific oil or specific oil mixture are related to mineral oil or mixture containing at least one mineral oil / paraffin oil.Throughout this application, paraffin oil is mineral oil.Paraffin oil is very common in personal care products due to its valuable sensory properties.Despite these advantages in user experience, they are not considered sustainable.
[0090] This allows for the replacement of mineral oil(s) with more environmentally friendly oil(s), which in one aspect constitute natural raw materials.
[0091] In one aspect, the target performance properties of specific oil or specific oil mixtures are related to silicone-based oils.Silicone-based oils are very common in personal care products due to their valuable sensory properties.Despite their advantages in user experience, they are not considered sustainable.
[0092] This allows for the replacement of silicone-based oil(s) with more environmentally friendly oil(s), which in one aspect comprise natural raw materials.
[0093] In one embodiment, the target performance property can be the performance property of a known / actual surfactant, or an additional ingredient, or a mixture of a surfactant and an additional ingredient. This can occur, for example, when trying to replace an undesired surfactant. A surfactant may be undesired if it is not environmentally friendly. A surfactant may be undesired if it does not have approval for use in cosmetics.
[0094] The target performance characteristics for a particular surfactant or additional component, or for a mixture of surfactant and additional component, can be requirements for a new formulation or a new mixture. This can occur when a new formulation needs to be designed so that certain performance characteristic requirements are met. In such cases, the target performance requirements can be provided by the customer, for example, based on market research, or by measurements.
[0095] In one aspect, the method steps for providing target performance characteristics of a particular oil or a particular mixture of oils include: - providing an identifier for a particular oil or a particular mixture of oils, - deriving target performance characteristics from the identifiers of specific oils or specific oil mixtures; It may further include:
[0096] The identifier for a particular oil or oil mixture can be an internal label, a chemical structure, a brand name, or a CAS number.
[0097] The use of oil identifiers rather than performance characteristics greatly increases the usefulness of the method.
[0098] In one aspect, the method steps to provide the target performance characteristics of a particular surfactant and / or additional component or a particular mixture of surfactant and additional component include: - providing an identifier for a particular surfactant and / or further component or a particular mixture of surfactant and further component, - deriving target performance characteristics from the identifiers of the particular surfactant and / or further component or particular mixture of surfactant and further component. It may further include:
[0099] In one aspect, the method can include a step of comparing, by the processing device, target performance characteristics of a particular oil or mixture of oils for an oil-containing product, particularly for personal care, more particularly for cosmetics, with the determined performance characteristics of the oil-containing product, particularly for personal care, more particularly for cosmetics, and deriving a result of the comparing step.
[0100] The step of comparing the target performance characteristics of a particular oil or mixture of oils for a cosmetic product with the determined performance characteristics of an oil-containing product for the cosmetic product by the processing device, and deriving the results of the comparing step, can allow for easier determination when a particular oil or a particular mixture of oils can be substituted.
[0101] The comparing step may further include comparing if target performance requirements are met.
[0102] Meeting the target performance characteristic can be understood as an exact match or a match within a predefined tolerance between the target performance characteristic and the performance characteristic of an oil-containing product comprising a (mixture of) different oils, particularly for personal care, more particularly for cosmetics. In another aspect, the method comprises generating an objective function based on the target performance characteristic and the performance characteristic of the oil-containing product comprising a mixture of different oils for personal care. In another aspect, the method further comprises minimizing or maximizing the objective function. Meeting the target performance characteristic can be achieved by a minimum or maximum value of the objective function. The objective function can be an error function.
[0103] In one aspect, the method can include a step of comparing, by the processing device, target performance properties of a particular surfactant and / or additional ingredient or a particular mixture of surfactant and additional ingredient for a surfactant-containing product, particularly for personal care, more particularly for cosmetics, with the determined performance properties of the surfactant-containing product, particularly for personal care, more particularly for cosmetics, and deriving a result of the comparing step.
[0104] The step of comparing the target performance characteristics with the determined performance characteristics of surfactant-containing products for cosmetics by the processing device, and the step of deriving the results of the comparing step, can allow for easier determination when particular surfactants or additional ingredients or particular mixtures of surfactants and additional ingredients can be substituted.
[0105] The comparing step may further include comparing if the target performance requirements are met.
[0106] In another aspect, the method includes generating an objective function based on the target performance characteristic and the performance characteristic of a surfactant-containing product for personal care that includes a mixture of different surfactants and / or additional ingredients. In another aspect, the method further includes minimizing or maximizing the objective function. Meeting the target performance characteristic can be achieved by a 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 communications interface can further include providing the results of the comparing step via the communications interface.
[0108] Providing the results of the comparison step may also make it possible to more easily determine if particular oils or particular mixtures of oils, and / or surfactants or further ingredients and / or mixtures thereof, are substitutable.
[0109] In one aspect, a step of varying compositional parameters can be performed.
[0110] Varying the compositional parameters allows for the rapid determination of performance characteristics of a wider range of oil-containing products, particularly for personal care, and more particularly for cosmetics.
[0111] In one aspect, the varying step can include varying the scale for different oil ratios.
[0112] This allows for the rapid determination of performance characteristics based on different mix ratios. Varying the scale for different oil ratios can allow for the determination of the scale for different oil ratios that best meets target requirements.
[0113] In one aspect, the varying step can include varying to change at least one identifier of the different oils.
[0114] At least one oil in the mixture is substituted by changing the identifier of at least one of the different oils.
[0115] By varying at least one identifier of the different oils, one is guaranteed to find the best combination of oils that meets the target performance.
[0116] In one aspect, the varying step can include adding additional identifiers for different oils.
[0117] This allows for the rapid determination of the performance characteristics of new oil blends based on more than two oils. If the initial blend is unable to meet the target performance requirements, this step allows for the addition of additional oils to the blend so that the target performance criteria can be met.
[0118] The steps of varying the measure for the ratio of the different oils and changing the at least one identifier of the different oils can be performed independently of each other or together. When the steps of varying the measure for the ratio of the different oils and changing the at least one identifier of the different oils are performed together, for each combination of identifiers of the different oils, the measure for the ratio of the different oils can be varied before the at least one identifier of the different oils is changed.
[0119] This provides an effective means of determining performance characteristics that match target performance characteristics.
[0120] In one aspect, the step of varying the compositional parameter can be followed by providing the varied compositional parameter as the compositional parameter. The varied compositional parameter is a compositional parameter derived from the varying step.
[0121] In another aspect, the step of varying the compositional parameter can be repeated until the performance requirement is met. Additionally, providing the varied compositional parameter as the compositional parameter can also be repeated until the performance requirement is met.
[0122] In one aspect, target performance characteristics can be weighted. Weighting can be determined by the relevance of a particular performance characteristic. For example, viscosity may be more important than refractive index in a particular product. By being able to weight performance characteristics, customer requirements can be best met.
[0123] In a second aspect, there is provided a system for determining the performance properties of an oil-containing and / or surfactant-containing product, in particular for personal care, more in particular for cosmetics, wherein an oil-containing product for personal care comprises different oils forming a mixture, and / or a surfactant-containing product for cosmetics comprises at least one surfactant and further ingredients 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 comprises: -communication interface, and - processing configured to perform the method steps disclosed above; It may further include:
[0125] In one aspect, the system may further include a blending module configured to control the blending of oil-containing and / or surfactant-containing products for personal care, particularly cosmetics.
[0126] In a third aspect, there is provided a computer program product for determining the performance properties of an oil-containing and / or surfactant-containing product, in particular for personal care, more in particular for cosmetics, wherein the oil-containing product for personal care comprises different oils forming a mixture, and / or the surfactant-containing product for personal care comprises different surfactants and further ingredients forming a mixture, A computer program product is proposed 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 may be stored and / or located on a suitable medium, for example an optical storage medium or a solid-state medium supplied together with or as part of other hardware, but may also be located in other forms, for example via the Internet or other wired or wireless telecommunications systems.
[0128] However, the computer program may also be present on a network such as the World Wide Web and may be downloaded into the working memory of a data processing device from such a network.
[0129] According to a further exemplary embodiment of the present invention, there is provided a data carrier or data storage medium for making available for downloading a computer program arranged to perform a method according to one of the previously described embodiments of the present invention.
[0130] As will be appreciated by those skilled in the art, it should be understood that the embodiments described herein are not mutually exclusive and 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 disk), a DVD (digital versatile disk), 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 allows program code to be downloaded. The methods, systems, and devices described herein can be implemented as software in a digital signal processor, a DSP, a microcontroller, or any other side processor, or as hardware circuitry 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 implemented in digital electronic circuitry, or in computer hardware, firmware, software, or combinations thereof, such as hardware available in conventional mobile devices or new hardware specialized for processing the methods described herein.
[0132] The present disclosure applies equally to the systems, methods, computer programs, computer-readable non-volatile storage media, and computer program products disclosed herein. Accordingly, no distinction is made between the systems, methods, computer programs, computer-readable non-volatile storage media, or computer program products. All features are disclosed in connection with 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 performance characteristics of an oil-containing product for cosmetics, the oil-containing product for cosmetics comprising different oils forming a mixture, the method comprising: - providing composition parameters to the processing device via a communications interface; - providing the data-driven model and / or the rigorous model to a processing device via a communication interface; - determining performance characteristics of oil-containing products, including mixtures, for cosmetics using a processing device; Data-driven and / or rigorous models and composition parameters determining based on -Through the output communication interface, Determined performance characteristics of oil-containing products for cosmetic purposes, and / or compositional parameters, and / or Formulating mixtures, and / or Providing a formulation of an oil-containing product for a cosmetic product A method comprising:
[0135] 2. The method of clause 1, wherein the compositional parameter includes a measure for the ratio of different oils in the mixture.
[0136] 3. The method of clause 1 or 2, including performance characteristics for each of the oils with different compositional parameters.
[0137] 4. The method of any of clauses 1 to 3, wherein the compositional parameters include an identifier for each of the oils, and the method further includes the step of deriving performance characteristics for each of the oils from the identifier.
[0138] 5. The method of any of clauses 1 to 4, wherein the performance characteristics of each of the different oils are related to the physicochemical properties of each of the different oils.
[0139] 6. The method of any of clauses 1 to 5, wherein the performance characteristics of each of the different oils are related to the organoleptic characteristics of each of the different oils.
[0140] 7. The method according to any 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. The method of any of clauses 1 to 7, further comprising providing, via the communications interface, to the processing device, target performance characteristics of a particular oil or mixture of oils for the cosmetic product.
[0142] 9. The method steps for providing a target performance characteristic include: - providing an identifier for a particular oil or a particular mixture of oils, - deriving the target performance of the specific oil or the specific mixture of oils properties from the identifier of the specific oil or the specific mixture of oils. The method of clause 8, preceded by
[0143] 10. The method according to clause 8 or 9, further comprising the step of comparing, by the processing device, the target performance characteristics of the particular oil or mixture of oils for the cosmetic product with the determined performance characteristics of the oil-containing product for the cosmetic product, and deriving a result of the comparing step.
[0144] 11. The method of clause 10, wherein the comparing step includes comparing whether a target performance requirement is met.
[0145] 12. The method according to clause 10 or 11, wherein providing via an output channel further comprises providing a result of the comparing step.
[0146] 13. The method according to any of clauses 10 to 12, further comprising the step of varying a composition parameter.
[0147] 14. The method of clause 13, wherein the step of varying the compositional parameter includes varying a scale for a ratio of different oils.
[0148] 15. The method of any of clauses 13 or 14, wherein the step of varying the compositional parameter comprises changing at least one identifier of the different oils.
[0149] 16. The method of any of clauses 13 to 15, wherein the step of varying the compositional parameters includes adding an additional identifier of the oil.
[0150] 17. The method according to any of clauses 13 to 16, further comprising the step of providing the varied composition parameter as the composition parameter.
[0151] 18. The method of clause 17, further comprising repeating the method of clause 17 until the target performance characteristic is met.
[0152] 19. The method of any of clauses 8 to 18, wherein the target performance characteristics of the particular oil or oil mixture for the cosmetic product relate to a silicone-based oil.
[0153] 20. The method of any of clauses 8 to 18, wherein the target performance characteristics of the particular oil or oil mixture for the cosmetic product are related to mineral oil / paraffin oil.
[0154] 21. The method of any of clauses 8 to 18, wherein the target performance characteristics of a particular oil or oil mixture for a cosmetic product are related to any other real or fictitious oil.
[0155] 22. A system for determining the performance characteristics of an oil-containing product for cosmetics, the oil-containing product for cosmetics comprising different oils forming a mixture, the system comprising: -communication interface, and - processing equipment configured to carry out a method according to any of clauses 1 to 21 Including, the system.
[0156] 23. A computer program product which, when run on a processing device, performs a method according to any of clauses 1 to 21.
[0157] 24. A computer-implemented method for determining performance characteristics of an oil-containing and / or surfactant-containing product for a cosmetic product, wherein the oil-containing product for a cosmetic product comprises different oils forming a mixture, and / or the surfactant-containing product for a cosmetic product comprises at least one surfactant and a further ingredient forming a mixture, and the method comprises: - providing composition parameters to the processing device via a communications interface; - providing the data-driven model and / or the rigorous model to a processing device via a communication interface; - determining performance characteristics of oil-containing and / or surfactant-containing products, including mixtures, for cosmetics using a processing device; Data-driven and / or rigorous models and composition parameters determining based on -Through the output communication interface, Determined performance characteristics of oil-containing and / or surfactant-containing products for cosmetics, and / or compositional parameters, and / or Formulating mixtures, and / or Providing a formulation of an oil-containing and / or surfactant-containing product for a cosmetic product A method comprising:
[0158] 25. The method of clause 24, wherein the compositional parameters include measures for the ratios of different oils and / or surfactants and further ingredients in the mixture.
[0159] 26. The method of clause 24 or 25, including performance characteristics for each of the oils with different compositional parameters.
[0160] 27. The method of any of clauses 24 to 26, wherein the compositional parameters include an identifier for each of the oil, and / or surfactant and further ingredients, and the method further comprises the step of deriving performance characteristics for each of the oil, and / or surfactant and further ingredients from the identifier.
[0161] 28. The method of any of clauses 24 to 27, wherein the performance properties of each of the different oils and / or surfactants and further ingredients are related to the physicochemical properties of each of the different oils and / or surfactants and further ingredients.
[0162] 29. The method of any of clauses 24 to 28, wherein the performance properties of each of the different oils, and / or surfactants and further ingredients are related to the organoleptic properties of each of the different oils, and / or surfactants and further ingredients.
[0163] 30. The method according to any 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 of any of clauses 24 to 30, further comprising the step of providing, via the communications interface, to the processing device, target performance characteristics of a particular oil or mixture of oils, and / or surfactant and further ingredient or mixture of surfactant and further ingredient, for the cosmetic product.
[0165] 32. The method steps for providing a target performance characteristic include: - providing an identifier for a specific oil or a specific oil mixture 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 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 from the identifiers 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. The method according to clause 31 or 32, further comprising the step of comparing, by the processing device, target performance characteristics of the specific oil or mixture of oils and / or the specific surfactant or specific further ingredient or mixture of the specific surfactant and further ingredient for the cosmetic product with the determined performance characteristics of the oil-containing and / or surfactant-containing product for the cosmetic product, and deriving a result of the comparing step, wherein the comparing step comprises comparing whether the target performance requirements are met, and wherein providing via the output channel comprises providing the result of the comparing step.
[0167] 34. The method of clause 33, further comprising the step of varying a composition parameter, and further comprising the step of providing the varied composition parameter as the composition parameter.
[0168] 35. The method of clause 34, further comprising repeating the method of clause 34 until the target performance characteristic is met.
[0169] 36. The method of clause 34 or 35, wherein the step of varying the compositional parameter comprises varying a measure for the ratio of different oils and / or surfactants or further ingredients, and / or the step of varying the compositional parameter comprises changing at least one identifier of the different oils and / or surfactants or further ingredients, and / or comprises adding additional identifiers of the oils and / or surfactants or further ingredients.
[0170] 37. The method of any of clauses 31 to 36, wherein the target performance characteristics of a particular oil or oil mixture for a cosmetic product relate to a silicone-based oil or a mineral oil / paraffin oil.
[0171] 38. The method of any of clauses 31 to 36, wherein the target performance properties of the particular surfactant or particular further component or mixture of surfactant and further component relate to surfactants containing alkoxylates and sulfates.
[0172] 40. A system for determining the performance characteristics of an oil-containing and / or surfactant-containing cosmetic product, wherein the oil-containing cosmetic product comprises different oils forming a mixture, and / or the surfactant-containing cosmetic product comprises at least one surfactant and a further ingredient forming a mixture, and the system comprises: -communication interface, and - processing equipment configured to carry out a method according to any of clauses 24 to 38 Including, the system.
[0173] 41. A computer program product which, when run on a processing device, performs a method according to any of clauses 24 to 38.
[0174] 42. Use of a system for determining the performance characteristics of oil-containing and / or surfactant-containing cosmetic products in accordance with Article 40 for the manufacture of oil-containing and / or surfactant-containing cosmetic products.
[0175] By way of example, embodiments of the present invention are illustrated in the accompanying drawings. It should be noted, however, that the accompanying drawings illustrate only certain aspects of the invention and therefore should not be considered as limiting its scope. The present invention may encompass other equally effective embodiments. [Brief explanation of the drawings]
[0176] [Figure 1] FIG. 1 shows an example method / flow chart for determining performance characteristics of an oil-containing product. [Figure 2] FIG. 1 illustrates an example of a conceptual apparatus for determining performance characteristics of an oil-containing product. [Figure 3] 1 shows how an example performance characteristic, surface tension (SFT), varies with blend ratio for a two-component oil blend. SFT for the blend is predicted using a data-driven model. [Figure 4a] FIG. 1 shows that for several oil blends and four different performance characteristics, the estimates obtained by the corresponding data-driven (linear) models are in good agreement with their corresponding experimental values. [Figure 4b] FIG. 1 shows that for several oil blends and four different performance characteristics, the estimates obtained by the corresponding data-driven (linear) models are in good agreement with their corresponding experimental values. [Figure 4c] FIG. 1 shows that for several oil blends and four different performance characteristics, the estimates obtained by the corresponding data-driven (linear) models are in good agreement with their corresponding experimental values. [Figure 4d] FIG. 1 shows that for several oil blends and four different performance characteristics, the estimates obtained by the corresponding data-driven (linear) models are in good agreement with their corresponding experimental values. [Figure 5] a) Sublinear behavior of binary oil mixtures with respect to viscosity. b) Data-driven model (log-log) is able to accurately predict the viscosity of several oil mixtures. [Figure 6]FIG. 1 illustrates a detailed workflow of the present invention showing the performance of optimized oil blends, the names of the blend components, and the blend ratios that best fit the target oil or oil blend or any performance profile. [Figure 7] FIG. 1 shows a comparison between the performance profiles of cyclomethicone and optimized oil blends derived from the method outlined in this invention. [Figure 8] FIG. 1 illustrates one embodiment of a system for determining performance characteristics of oil-containing and / or surfactant-containing products for cosmetic products. DETAILED DESCRIPTION OF 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 simplified flow chart form. This example 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, compositional parameters are provided to the processing unit via a communications interface. In this example, the compositional parameters include identifiers for each of the different oils, and a step is performed of deriving performance characteristics for each of the oils from the identifiers. In cases where the performance parameters are derived from the identifiers, the derived performance parameters are also provided as compositional parameters. The identifiers in this example are the brand names of each of the oils. In this example, the brand names are entered via a keyboard.
[0180] Other means for providing the identifier for each of the oils are also possible, for example providing the identifier for each of the oils from a database.
[0181] In this embodiment, the performance characteristics for each of the oils are derived from a database.
[0182] Additionally or alternatively, the method may include selecting one or more of the performance characteristics of each of the different oils, which allows reducing the number of performance characteristics of each of the oils to those that are relevant to the task, which reduces computational power.
[0183] In this example, the performance property for each oil is a single physicochemical performance property. More specifically, the performance property for each oil is surface tension (SFT), see the table below.
[0184] [Table 1]
[0185] The composition parameters in this example further include a measure for the ratio of the different oils. In this example, the measure for the mixing ratio of the first different oil is entered by keyboard.
[0186] In another example, a measure for the oil blend ratio may be derived from the identifiers of the oil blends containing those oils.
[0187] In this example, the measure for the mix ratio of the second oil is derived from the measure for the mix ratio of the first, different oil. In other cases, the measure for the mix ratio for each of the different oils may be provided separately for each oil.
[0188] In this example, in step 200, a data-driven model is provided to the processing unit via a communications interface. In this example, the data-driven model is a linear mixed model. In another example, the data-driven model can be a log-log model. In another example, other data-driven models can be provided, such as those described above.
[0189] In step 300, determined performance characteristics of the oil-containing product, including the mixture, for the cosmetic product are determined based on the data-driven model and / or the 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 expressed as a vector for oil i
[0194]
number
[0195] [Table 2]
[0196] The performance characteristic vector for the example in Table 2 is therefore:
[0197]
number
[0198] For a mixture of two oils, the step of determining the determined properties of the mixture generally involves:
[0199]
number
[0200]
number
[0201]
number
[0202]
number
[0203] An example of a linear data-driven model for multiple n oils is described by the following equation:
[0204]
number
[0205] Step 400 involves providing the determined performance characteristics of the oil-containing product for the cosmetic product via the communication interface. In this example, the performance characteristics of the oil-containing product for the cosmetic product are provided to a display.
[0206] Providing on a display has the advantage that the information is readily available to the user.
[0207] In another example, the communication interface can provide the determined performance characteristics of the cosmetic oil-containing product to a database, which has the advantage that the information can be later retrieved and 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 the cosmetic product to a database and a display.
[0209] Providing the information simultaneously in a database and on a display has the advantage that the information can be retrieved at a later time, may be available for later use, and is readily available to the user.
[0210] The method can be extended to three, four, or more than four different oils within the scope of the present invention.
[0211] Alternatively, the performance characteristic can be any of the physicochemical characteristics or any of the organoleptic characteristics. Further alternatively, the performance characteristic 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 performance characteristics of oil-containing products, particularly for personal care, and more particularly for cosmetics.
[0213] The system is configured to perform the method steps 100-400 described above in the context of Figure 1. Figure 2 focuses on illustrating the conceptual arrangement of the present invention.
[0214] In this embodiment, the system includes a communication interface 1100 for providing compositional parameters to a processing unit 1200 and for providing data-driven and / or rigorous models to the processing unit.
[0215] The system further includes a physical input device 1300 connected to the communication channel, which in this example is a keyboard.
[0216] In other embodiments, the performance characteristics for each of the different oils can be provided by a physical input device, which allows the system to be used 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, thereby increasing 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 performance characteristics for different oils and / or oil mixtures are stored.
[0218] In this example, a measure of the ratio of the different oils in the mixture is provided as a composition parameter to the communications interface 1100 via the database 1400 .
[0219] In another example, a measure of the ratio of different oils in the mixture can be provided as a composition parameter to the communications interface by entry 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 a database 1400 .
[0221] The system further includes an output device 1500. The communication interface provides the output device with the determined performance characteristics of the oil-containing product for personal care and / or the ratio of different oils in the mixture and / or the formula of the mixture, and / or the formula of the oil-containing product for cosmetics. In this example, the output device is a display. The formula of the oil-containing product can contain additives, such as water, preservatives, and emulsifiers.
[0222] In a further 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] Processing device 1200 is configured to perform the steps outlined in the context of using the method described in FIG.
[0224] FIG. 3 is a plot of the determined performance characteristics of an oil-containing product, particularly for personal care, more particularly for cosmetics, where the oil-containing product for personal care comprises different oils forming a mixture, and the plot shows various scales for the ratios of different oils in the mixture. The X-axis indicates 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 scale for the ratios of different oils in the mixture and the determined performance characteristic. Some measured performance characteristics are also shown, provided at selected blend ratios. Examples of determined and measured values for different blend ratios are shown in Table 3.
[0225] [Table 3]
[0226] Figures 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 relates to the ratio of a mixture of different oils with various chemistries. The data-driven model accurately captures the performance for some mixtures.
[0227] Figures 5a-b show that nonlinear data-driven models can also be developed. In this example, the viscosity of dicaprylyl ether (Cetiol® OE) and caprylic / capric triglyceride (Myritol® 318) was provided as a performance characteristic. Figure 5a) shows a plot of the measured viscosity of a mixture of dicaprylyl ether (Cetiol® OE) and caprylic / capric triglyceride (Myritol® 318) at various ratios. It is clearly visible that the viscosity of the mixture does not vary linearly with the ratio between the two oils, but follows sublinear 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 viscosity of several oil mixtures with different chemical properties. The model fitted to the viscosity of the oil mixture is of the following form:
[0228]
number
[0229] Figure 6 shows a flow chart of a further embodiment. In this example, an alternative use of the method for determining the performance characteristics of an oil-containing product for cosmetics is disclosed, where the oil-containing product for cosmetics comprises different oils forming a mixture.
[0230] In step 750, target performance characteristics of an oil or oil mixture for a cosmetic product are provided to a processing device via a communication channel. In this example, providing the processing device with the target performance characteristics of an oil or oil mixture for a cosmetic product via a communication channel is preceded by step 770 of providing an identifier for a specific oil or specific oil mixture, and step 800 of deriving the target performance characteristics from the identifier for the specific oil or specific oil mixture. In this example, the method is applied to only one specific oil. The specific oil identifier in this example is cyclopentasiloxane / cyclomethicone. The task described by this flowchart is to identify new oil mixtures and their ratios that match the characteristics of the specific / target oil and cyclomethicone.
[0231] The target performance characteristics used in this example include viscosity, spreadability, density, RI, IFT, SFT as physical characteristics, and thickness, gloss, powdery feel, silicone feel, wettability, distribution, thickness, rub-in for absorbency, oil, oiliness of residue, dryness, gloss, slipperiness, smoothness, residue thickness, % oily feel, % oily feel, % powdery feel, silicone feel, slipperiness, and tackiness as sensory characteristics. In other examples, the target performance characteristic can be only one physical characteristic or one sensory characteristic, or any combination of physical and / or sensory characteristics. The target performance characteristic is derived from a database.
[0232] In this example, the data-driven model is provided to the processing unit via the communications interface in step 2200. In this example, providing the data-driven model includes providing a data-driven model for each performance characteristic.
[0233] In step 2100, the compositional parameters are provided to a processing unit via a communications interface. In this example, the compositional parameters include identifiers for each of the different oils, and a step is performed of deriving performance characteristics for each of the oils from the identifiers.
[0234] In the case where the 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 were selected from a list of oils in the database. Other means of providing the identifiers are also possible, for example, providing the identifiers of each of the oils via a keyboard.
[0235] Providing the identifier via a database is particularly useful when the method is automated.
[0236] The identifiers in this example were based on two-component oil systems. In other examples, tertiary and quarterly systems are also possible. In principle, there is no upper limit to the number of different oils. The two-component oils in this example include Cetiol C5 and Cetiol Ultimate, both of which are trademarks of BASF.
[0237] In this example, 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 composition parameters. As a result, the performance characteristics of Cetiol C5 and Cetiol Ultimate are also provided as composition parameters. In this example, the provided performance characteristics include viscosity, spreadability, density, RI, IFT, and SFT as physical characteristics, and thickness, gloss, powdery feel, silicone feel, wettability, distribution, thickness, rub-in for absorbency, oil, oiliness of residue, dryness, gloss, slipperiness, smoothness, residue thickness, % oily feel, % oily feel, % powdery feel, silicone feel, slipperiness, and tackiness as sensory characteristics. In this case, the provided performance characteristics are identical to the target performance characteristics. This allows the target performance characteristics to be best met. In another example, only a subset of the target performance characteristics can be provided as performance characteristics for each of the oils.
[0238] Additionally or alternatively, the method may include selecting one or more of the performance characteristics of each of the oils, which allows reducing the number of performance characteristics of each of the oils to those that are relevant to the task, which reduces computational power.
[0239] In this example, the composition parameters also include a measure for the ratio of the different oils in the mixture. In this example, the mixture ratio is fixed and reflects an initial value.
[0240] In another example, a measure for a first different oil mix ratio can be entered at a keyboard and a measure for a second oil mix ratio is derived from the measure for the first different oil mix ratio.
[0241] In other cases, measures for the mix ratio for each of the different oils may be provided separately for each of the oils.
[0242] In this example, the scale for the first different oil mixture ratio is x1=1.
[0243] In step 2300, performance characteristics of the oil-containing product for the cosmetic product including the mixture are determined using a processing device, and the processing device is used to determine the determined performance characteristics of the oil-containing product for the cosmetic product based on a data-driven model, the performance characteristics for each of the different oils, and measures for the ratios of the different oils in the mixture.
[0244] In step 2400, the target performance characteristics of a particular oil or mixture of oils for the cosmetic product are compared to the determined performance characteristics of the oil-containing product for the cosmetic product. A result of the comparing step is generated.
[0245] In this example, comparing the target performance characteristics of a particular oil or mixture of oils for a cosmetic product with the determined performance characteristics of an oil-containing product for a cosmetic product can be achieved by:
[0246]
number
[0247]
number
[0248]
number
[0249] In step 2500, a compositional parameter of the oil mixture is varied. The compositional parameter can be a measure for the ratio of different oils in the mixture. In this example, varying the compositional parameter includes varying the measure for the ratio of different oils. In this example, the varying step is repeated until a performance requirement is met. In this example, meeting the performance requirement relates to minimizing the error function above.
[0250] The results of the comparison step may be provided via a communications interface, which may result in the table shown below.
[0251] [Table 4]
[0252] In this example, the step of varying the compositional parameters further comprises changing at least one identifier of the different oils.
[0253] In this example, the identifier for at least one of the different oils being changed is the brand name Cetiol Ultimate. In this example, the identifier is changed to Cetiol RLF.
[0254] The varied compositional parameters are then provided as compositional parameters.
[0255] This allows for an iterative optimization process.
[0256] Finally, the following table shows the corresponding blend ratios for four example binary blends for the target silicone oil, cyclomethicone, and the optimized error function values calculated through the routine outlined in Figure 6. j was derived by iteratively changing the identifier of and providing the result of the comparison step together with the minimum value of the error function.
[0257] [Table 5]
[0258] Figure 7 shows the performance profile of the mixture using the method outlined in Figure 6.
[0259]
number
[0260]
number
[0261] In step 500, the final determined performance characteristics of the oil-containing product for personal care can be provided via a communication interface.
[0262] In this example, the component oils (names) and mixing ratios are provided on the display along with performance characteristics of oil-containing products for personal care.
[0263] FIG. 8 illustrates one embodiment of a system 12, particularly an Internet-based system 12, for determining performance characteristics of oil-containing and / or surfactant-containing products for cosmetics. The Internet-based system 12 can include a server 14 and a processing device 16, which can be accessed by one or more client devices 10 via a communications interface 18, e.g., a network 20, e.g., the Internet. The client devices 10 can be computer terminals accessible by users, customized devices such as data entry kiosks, or general-purpose devices such as personal computers. 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 that initiates the method for determining performance characteristics of oil-containing and / or surfactant-containing products for cosmetics. The manufacturing facility 22 can be located proximate to the server 14 or 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 devices 10. For example, performance characteristics of oil-containing and / or surfactant-containing products for cosmetics can be sent directly to the manufacturing facility 22, e.g., via email. In yet a further embodiment, the manufacturing facility 22 can be located in close proximity to the client device 10. This arrangement is particularly suitable for kiosk-based, on-demand manufacturing systems, which can be located, for example, at a point-of-sale premises. These three potential connections to the manufacturing facility 22 are shown in Figure 8. Multiple manufacturing facilities 22 located at different locations may be provided, or only one connection may be implemented. [Explanation of symbols]
[0264] 10 Client Device 12 Internet-based systems 14 Servers 16 Processing equipment 18 Communication Interface 20 Network 22 Manufacturing equipment 1000 systems 1100 Communication Interface 1200 Processing Unit 1300 Physical Input Device / Keyboard 1400 Logical Input Device / Database 1500 output device
Claims
1. 1. A computer-implemented method for determining performance characteristics of an oil-containing and / or surfactant-containing cosmetic product, wherein the oil-containing cosmetic product comprises different oils forming a mixture, and / or the surfactant-containing cosmetic product comprises at least one surfactant and a further ingredient forming a mixture, the method comprising: - providing, via a communication interface to a processing device, target performance characteristics of a specific oil or a specific oil mixture, and / or a specific surfactant or a mixture of a specific surfactant and a further ingredient, wherein the specific oil or the specific oil mixture is not contained in an oil-containing product for the cosmetic product, or the specific surfactant or the mixture of the specific surfactant and a further ingredient is not contained in a surfactant-containing product for the cosmetic product, - providing composition parameters to the processing device via a communications interface; - providing the data-driven model and / or the rigorous model to a processing device via a communication interface; - determining performance characteristics of oil-containing and / or surfactant-containing products, including mixtures, for cosmetics using a processing device; Data-driven and / or rigorous models - and composition parameters determining based on - comparing, by a processing device, the target performance characteristics with the determined performance characteristics of the cosmetic oil-containing product and / or surfactant-containing product; repeating the steps of varying compositional parameters to determine performance characteristics of an oil-containing product and / or a surfactant-containing product comprising the mixture for a cosmetic product until the target performance characteristics are met; -Through the output communication interface, - determined performance characteristics of oil-containing and / or surfactant-containing products for cosmetics, and / or compositional parameters, and / or - Formulating the mixture, and / or ・Formulation of oil-containing and / or surfactant-containing products for cosmetics Steps to provide Further comprising: the performance properties of each of the different oils and / or surfactants and further ingredients are related to the physicochemical properties of each of the different oils and / or surfactants and further ingredients; and / or A method wherein the performance properties of each of the different oils and / or surfactants and further ingredients are related to the sensory properties of each of the different oils and / or surfactants and further ingredients.
2. 2. The method of claim 1, wherein the compositional parameters comprise measures for the ratio of different oils and / or surfactants and further ingredients in the mixture.
3. 3. The method of claim 1 or 2, wherein the compositional parameters include performance characteristics for each of the different oils.
4. 4. The method according to claim 1, wherein the compositional parameters comprise an identifier for each of the oil, and / or surfactant and further ingredients, and the method further comprises deriving performance characteristics for each of the oil, and / or surfactant and further ingredients from the identifier.
5. 5. The method according to any one of claims 1 to 4, wherein the oil-containing cosmetic product comprises at least two different oils, at least three different oils, or at least four different oils.
6. The method steps for providing a target performance characteristic include: - providing an identifier for a specific oil or a specific oil mixture and / or a specific surfactant or a specific further component or a mixture of a specific surfactant and a further component, - deriving target performance properties of the specific oil or specific oil mixture and / or the specific surfactant or specific further component or mixture of the specific surfactant and further component from the identifier of the specific oil or specific oil mixture and / or the specific surfactant or specific further component or mixture of the specific surfactant and further component.
6. The method of any one of claims 1 to 5, preceded by:
7. 7. The method of claim 6, further comprising the step of deriving, by the processing device, a result of the comparing step, wherein the comparing step comprises comparing whether a target performance requirement is met, and wherein providing via the output channel further comprises providing the result of the comparing step.
8. The method of claim 7, further comprising providing the varied composition parameter as the composition parameter.
9. 9. The method of claim 8, wherein the step of varying the compositional parameter comprises varying a measure for the ratio of different oils and / or surfactants or further components, and / or the step of varying the compositional parameter comprises changing at least one identifier of the different oils and / or surfactants or further components, and / or comprises adding additional identifiers of oils and / or surfactants or further components.
10. 10. The method of any one of claims 7 to 9, wherein the target performance properties of a particular oil or mixture of oils for a cosmetic product relate to silicone-based oils or mineral / paraffin oils.
11. 10. The method according to any one of claims 7 to 9, wherein the target performance properties of a particular surfactant or a particular further component or a mixture of surfactant and further component relate to alkoxylate and sulfate based surfactants.
12. A system (12) for determining the performance characteristics of an oil-containing and / or surfactant-containing cosmetic product, wherein the oil-containing cosmetic product comprises different oils forming a mixture, and / or the surfactant-containing cosmetic product comprises at least one surfactant and a further ingredient forming a mixture, the system (12) comprising: a communication interface (18), and - a processing device (16) configured to carry out the method according to any one of claims 1 to 11 Including, the system.
13. A computer program which, when run on a processing device, performs the method of any one of claims 1 to 11.
14. A method of using the system for determining the performance characteristics of oil-containing and / or surfactant-containing products for cosmetics according to claim 12 for the manufacture of oil-containing and / or surfactant-containing products for cosmetics.
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