Method and device for providing a measurable polarity value and associated methods

Abstract

The method (300) for providing a measurable polarity value for a materializable and / or materialized oil, mixture said oil mixture comprising at least one non apolar oil compound, comprises: - a step of defining (305) an oil mixture digital identifier, comprising a step of selecting (310): - at least one non apolar oil compound digital identifier to form an oil mixture digital identifier, or - an oil mixture digital identifier, - a step of computing (320), by a computing system, a measurable polarity value, calculated by the dividing the difference of a molar polarizability value and a retrieved molar refractivity value of the oil mixture by the molar refractivity of the oil mixture, and - a step of providing (325), upon a computer interface, the computed measurable polarity value.

Description

[0001] DESCRIPTION

[0002] TITLE OF THE INVENTION: method and device for providing a measurable polarity value and associated methods

[0003] TECHNICAL FIELD OF THE INVENTION

[0004] The present invention relates to a method for providing a measurable polarity value and a corresponding computer program product, computer-readable storage medium and devices. This invention also relates to applications of such a measured polarity value.

[0005] The present invention is applicable to the domain of fragrance or flavor design, for example in cosmetics, skincare, hair care or fabric care products.

[0006] BACKGROUND OF THE INVENTION

[0007] Flavors, fragrances, essential oils, vegetable oils, mineral oil, lubricants, crude oils, all are used widely in everyday life and in many products such as foodstuffs, fragrances, cosmetics, paintings, lubrication, fuels, medicine, and pharmaceuticals. In general, “oils” are defined as hydrophobic (insoluble in water) and lipophilic (soluble in other oils) compounds and are classified as polar and nonpolar according to the presence of polar groups in their chemical structure.

[0008] Fragrance and flavor oils are oily compounds with many different chemical functionalities such as esters, terpenes, aldehydes, alcohols, ketons, musks, having different physicochemical properties such as hydrophobicity, solubility in different solvents, surface activity, interaction with other non apolar oil compounds presented in the surrounding medium.

[0009] Fragrances and flavors are complex mixtures, or compositions, of such oils (comprising sometimes hundreds of such oils) having their own polarity (hydrophobicity) and surface activity.

[0010] The accurate knowledge of the influence of a fragrance (or flavor) on the final consumer product is important to anticipate issues of turbidity, changes in viscosity, phase separations, observed often when the fragrance (or flavor) is incorporated into a base, which may be unknown at the moment of fragrance (or flavor) design. When the composition of an oil and the polarity of each oil are known, the mean polarity of the mixture can be calculated using the ideal mixing rule for example. However, for natural mixtures such as essential oils, vegetable oils or crude oils, the exact oil mixture is unknown, and the polarity of such oils thus cannot be deduced (calculated or predicted) from the oil mixture of said oils. Even if analyses with high precision instruments such as the HPLC or GCMS are performed, the total oil mixture is difficult to obtain. Therefore, in current systems and methods, the polarity of those natural extracts is empirically deduced by trial-and-error method.

[0011] Therefore, it is of high importance to develop an easy-to-use method to measure the oil polarity.

[0012] The most popular and widely used method for hydrophobicity estimation is the measurement or calculation of octanol-water partition coefficient (also known as “logP”). It is based on the oil affinity to water and octanol and on the consequent partition of the non apolar oil compounds between the two liquids. However, this method is slow to perform, not easy to apply and it cannot be used for complex oil mixtures or for natural mixtures and extracts.

[0013] Other methods using the Hansen solubility parameters (“HSP”) are developed to compare the hydrophobicity of the oils and to predict their solubility in different solvents. However, for natural oil mixtures this approach is difficult to apply without screening the solubility in many different solvents to determine HSP for the mixture.

[0014] As it is understood, several characterization methods for assessment of oil polarity exist.

[0015] One of them is based on measurement of the relative permittivity of the oil (Carey, A. A., Hayzen, A., 2001 , Practicing Oil Analysis Magazine, Relative permittivity and Oil Analysis). It was used for detecting oil contaminants in lubricating oils.

[0016] Another method is derived for pharmaceutical use and more precisely for determination of solubility of a drug. (Critchfield et al., 1953; Moore, 1958; Paruta et al., 1962; Lordi et al., 1964). It is based on measurement of the relative permittivity of drug dissolved in water-dioxane solutions with increasing water concentration.

[0017] Fakhree and coauthors (AAPS PharmSciTech, Vol. 11 , No. 4, December 2010) showed that the relative permittivity of solvents and their mixtures might be helpful in solubility prediction of electrolytes and zwitterions with acceptable error in water + ethanol mixtures.

[0018] Chromatographic and surface tension methods were also applied for the determination of oil polarity. The relative polarity of eight oils has been evaluated by comparing their dielectric requirement for solubilization, their interfacial tension and chromatographic analysis. HPLC analysis also was applied and compared to the other methods in order to find the best method for classifying oils as a function of their polarity (M. El-Mahrab-Robert et al. I International Journal of Pharmaceutics 348 (2008) 89- 94).

[0019] Polarity of oils was deduced also by comparison to the polarity of alkanes. Solution property as function of Alkane Carbon Number (ACN) scale is used as a calibration curve and an Equivalent ACN number is deduced for the non-alkane compounds to classify them in polarity (Colloids and Surfaces A: Physicochem. Eng. Aspects 338 (2009) 142-147).

[0020] This method was used for fragrances, flavors, essential oils but it requires highly expensive thermosensitive surfactants for sufficient precision. Moreover, the EACN of oils depends strongly on the type and concentration of surfactant. The parameter is not independent and has no absolute value characteristic for the specific oil.

[0021] The measurement or calculation of octanol-water partition coefficient (C. D. Schonsee and Th. D. Bucheli, J. Chem. Eng. Data (2020), 65, 1946, J. Sangster, Octanol-Water Partition Coefficients: Fundamentals and Physical Chemistry. Wiley Series in Solution Chemistry 2. (1997). Chichester: John Wiley & Sons Ltd. p. 178.) is based on the oil affinity to water and octanol and on the consequent partition of the non apolar oil compounds between the two liquids.

[0022] Hansen solubility parameters (Ch. Hansen, Hansen Solubility Parameters, CRC Press (2007), Taylor&Francis Group) are used to compare the hydrophobicity of the oils and to predict their solubility in different solvents.

[0023] Abraham and al. (M. Abraham W. Acree Jr, J Solution Chem (2011 ), 40, 1279) created the so-called ALFER method allowing to calculate with good precision a target physicochemical property using linear equations. They presented each property as a sum of terms, including five molecular descriptors. The method is well working for single non apolar oil compounds with a known molar volume. But it is not convenient for mixtures.

[0024] SUMMARY OF THE INVENTION

[0025] The present invention is intended to remedy all or part of these disadvantages.

[0026] To this effect, according to a first aspect, the present invention aims at a method for providing a measurable polarity value for a materializable and / or materialized oil, said oil comprising at least one non apolar oil compound, which comprises: - a step of defining, upon a computer interface, an oil mixture digital identifier, representing a materializable oil mixture, comprising a step of selecting, upon a computer interface:

[0027] - at least one non apolar oil compound digital identifiers in a database of non apolar oil compound digital identifiers, each non apolar oil compound digital identifier being representative of a materializable non apolar oil compound, to form an oil mixture digital identifier, or

[0028] - an oil mixture digital identifier, in a database of oil mixture digital identifiers, said oil mixture digital identifier being representative of a materializable and / or materialized oil mixture comprising at least one non apolar oil compound,

[0029] - a step of computing, by a computing system, a measurable polarity value defined as a ratio between the polar and nonpolar interactions of the oil mixture digital identifier, calculated by the dividing the difference of a molar polarizability value and a retrieved molar refractivity value of the oil mixture, said difference corresponding to a dipole moment of the oil mixture, by the molar refractivity of the oil mixture, and

[0030] - a step of providing, upon a computer interface, the computed measurable polarity value.

[0031] Such provisions allow for the determination of the polarity value of complex oils or oil mixtures. The main advantage of this computed measurable polarity value is that it does not require knowledge of the molecular weight and the density and can be used for any complex oil or oil mixture.

[0032] Such provisions allow for:

[0033] - using the value of polarity of the oil to predict a complex formulation,

[0034] - performing quality control of oils and oil mixtures, and / or

[0035] - the comparison of oil natural extracts from different geographic regions.

[0036] Such a measurable polarity value may be used in the following tasks:

[0037] - the comparison oils or oil mixtures in polarity in order to select the desired polarity,

[0038] - the creation of database with values for each oily oil and / or mixture of oils,

[0039] - obtaining the polarity of an oil mixture containing unknown oil mixture such as the natural mixtures and extracts (essential oils), - obtaining the polarity of an oil mixture containing very high number of oils such as some fragrances,

[0040] - predict physicochemical properties dependent on the oil polarity such as solubility,

[0041] - designing an oil mixture with desired polarity for specific application,

[0042] - detecting impurities or degradation of oils in oil mixtures, and

[0043] - calculating solubility parameters for oils and oil mixtures with unknown oil mixture.

[0044] In particular embodiments, the method object of the present invention comprises, prior to the step of computing, a step of retrieving, from a database of measured non apolar oil compound or mixture parameter values, a value representative of the relative permittivity of the defined non apolar oil compound or mixture and a value representative of the refractive index of the defined non apolar oil compound or mixture, wherein the measurable polarity value is computed by the following equation: wherein:

[0045] - PNPI designates the measurable polarity value, without need to know the molecular weight nor the density of the non apolar oil compound or mixture,

[0046] - E represents the relative permittivity of the non apolar oil compound or mixture, and

[0047] - n represents the refractive index of the non apolar oil compound or mixture.

[0048] Such provisions require only simple and quick measurements to obtain relative permittivity and refractive index values.

[0049] In particular embodiments, the method object of the present invention comprises:

[0050] - a step of calculating, by a computing system, a measurable molar refractivity value, called “Rm”, for the non apolar oil compound or mixture, computed by the following equation:

[0051] > (n2- 1) MW Rm =(n2+ 2) p wherein: - MW represents the molecular weight of the non apolar oil compound or mixture,

[0052] - p represents the density of the non apolar oil compound or mixture.

[0053] - a step of calculating, by a computing system, a measurable molar polarizability value, called “Pm”, for the non apolar oil compound or mixture, computed by the following equation:

[0054] _ (E - 1) W

[0055] Pm~ (TTzj

[0056] Such provisions allow for a precise calculation of the measurable polarity value for non apolar oil compounds or mixtures which can easily be decomposed into elemental non apolar oil compounds.

[0057] In particular embodiments, the method object of the present invention comprises a step of constituting the database of measured non apolar oil compound or mixture parameter values, comprising:

[0058] - a step of empirically measuring a value representative of a molar polarizability of an oil mixture comprising at least one non apolar oil compound,

[0059] - a step of empirically measuring a value representative of a measured molar refractivity of an oil mixture comprising at least one non apolar oil compound, and

[0060] - a step of storing, in the database, the measured the value representative of a molar polarizability of the oil mixture and the measured molar refractivity of the oil mixture, said values being stored in relation to an oil mixture digital identifier or to a selection of at least one non apolar oil compound digital identifiers.

[0061] In particular embodiments, the method object of the present invention comprises a step of solubilizing a solid non apolar oil compound or mixture prior to a step of empirically measuring.

[0062] Such embodiments allow for the determination of a measurable polarity value for oils which are initially in solid form.

[0063] According to a second aspect, the present invention aims at a method for providing a measurable polarity value for a materializable and / or materialized liquid oil mixture, which comprises:

[0064] - a step of defining, upon a computer interface, an oil mixture digital identifier, representing a materializable oil mixture comprising, comprising a step of selecting, upon a computer interface, at least one non apolar oil compound digital identifiers in a database of non apolar oil compound digital identifiers, each non apolar oil compound digital identifier being representative of a materializable non apolar oil compound,

[0065] - a step of inputting, upon a computer interface, a relative quantity of each non apolar oil compound digital identifiers selected,

[0066] - a step of retrieving, via a computer interface, for each non apolar oil compound digital identifiers selected, a computed measurable polarity value according to the first aspect of the present invention,

[0067] - a step of determining, by a computing system, a measurable oil mixture polarity value corresponding to the weighted sum of the computed measurable polarity value of the selected non apolar oil compound digital identifiers selected, wherein the weights correspond to the input relative quantity of each non apolar oil compound digital identifiers selected, and

[0068] - a step of providing, upon a computer interface, the determined measurable oil mixture polarity value.

[0069] Such provisions allow for the determination of a measurable oil mixture polarity value with the same advantages as the first aspect object of the present invention.

[0070] In particular embodiments, the method object of the present invention comprises a step of sending, upon a computer interface, a digital command representative of an instruction of materialising at least one oil mixture corresponding to at least one oil mixture digital identifier defined.

[0071] Such provisions allow for the assembly of the oil mixture defined as a result of a satisfactory determination of a polarity value for said oil mixture.

[0072] In particular embodiments, the method object of the present invention comprises a step of materialising at least one oil mixture corresponding to at least one oil mixture digital identifier defined.

[0073] Such provisions allow for the assembly of the oil mixture defined as a result of a satisfactory determination of a polarity value for said oil mixture.

[0074] According to a third aspect, the present invention aims at a method for providing a measurable value for a physicochemical parameter of a materializable and / or materialized non apolar oil compound or mixture, said value being dependent on the polarity, which comprises: - a step of empirically measuring a value for a physicochemical parameter of a materialized non apolar oil compound or mixture associated with an non apolar oil compound or mixture digital identifier,

[0075] - a step of retrieving, via a computer interface, for said non apolar oil compound or mixture digital identifiers, a computed measurable polarity value according to the first aspect object of the present invention,

[0076] - a step of determining, by a computing a system, equation parameters for a standardized equation associating the empirically measured value to the retrieved computed measurable polarity value,

[0077] - a step of selecting, upon a computer interface, an non apolar oil compound or mixture digital identifier in a database of oil digital identifiers,

[0078] - a step of retrieving, via a computer interface, for said selected non apolar oil compound or mixture digital identifiers, a computed measurable polarity value according to the first aspect of the present invention,

[0079] - a step of calculating, by a computing a system, based on the determined equation parameters, a value for a physicochemical parameter for said selected non apolar oil compound or mixture digital identifier, and

[0080] - a step of providing, upon a computer interface, the calculated value.

[0081] Such provisions allow for the accurate determination of the value of a physicochemical parameter of a materializable and / or materialized non apolar oil compound or oil mixture based on the determined measurable polarity value.

[0082] According to a fourth aspect, the present invention aims at a method for providing a materializable oil mixture digital identifier, which comprises:

[0083] - a step of inputting, upon a computer interface, a target measurable polarity value,

[0084] - a step of defining, by a computing system, a materializable oil mixture digital identifier, comprising a step of selecting at least one non apolar oil compound digital identifier as a function of a measurable polarity value, for said non apolar oil compound, obtained from executing a method according to any one of claims 1 to 5, and the input measurable polarity value, and

[0085] - a step of providing, upon a computer interface, the defined materializable oil mixture digital identifier. According to fifth aspect, the present invention aims at a computer program product, which comprises instructions which upon execution by a computer cause the computer to execute the method object of the present invention.

[0086] According to sixth aspect, the present invention aims at a computer-readable storage medium storing programming instructions which upon execution by a computer cause the computer to execute the method object of the present invention.

[0087] According to seventh aspect, the present invention aims at a system for providing a measurable polarity value for a materializable and / or materialized oil, said oil comprising at least one non apolar oil compound, which comprises: one or more processors; and memory storing instructions that, when executed by the one or more processors, cause the computing device to perform the steps of:

[0088] - defining, upon a computer interface, an oil digital identifier, representing a materializable oil mixture, comprising a step of selecting, upon a computer interface:

[0089] - at least one non apolar oil compound digital identifiers in a database of non apolar oil compound digital identifiers, each non apolar oil compound digital identifier being representative of a materializable non apolar oil compound, or

[0090] - an oil mixture digital identifier, in a database of oil mixture digital identifiers, said oil mixture digital identifier being representative of a materializable and / or materialized oil mixture comprising at least one non apolar oil compound,

[0091] - retrieving, from a database of measured non apolar oil compound or mixture parameter values, a value representative of a measured molar polarizability of the defined non apolar oil compound or mixture and a value representative of a measured molar refractivity of the defined non apolar oil compound or mixture,

[0092] - computing, by a computing system, a measurable polarity value defined as a ratio between the polar and nonpolar interactions of the defined compound or mixture oil digital identifier, calculated by the dividing the difference of the retrieved molar polarizability and the retrieved molar refractivity of the non apolar oil compound or mixture, said difference corresponding to a dipole moment of the non apolar oil compound or mixture, by the retrieved molar refractivity of the non apolar oil compound or mixture, and - providing, upon a computer interface, the computed measurable polarity value. According to an eighth aspect, the present invention aims at one or more non- transitory computer-readable media storing instructions that, when executed by one or more processors, cause a computing device to perform the steps of:

[0093] - defining, upon a computer interface, an oil mixture digital identifier, representing a materializable oil mixture, comprising a step of selecting, upon a computer interface:

[0094] - at least one non apolar oil compound digital identifiers in a database of non apolar oil compound digital identifiers, each non apolar oil compound digital identifier being representative of a materializable non apolar oil compound, to form an oil mixture digital identifier, or

[0095] - an oil mixture digital identifier, in a database of oil mixture digital identifiers, said oil mixture digital identifier being representative of a materializable and / or materialized oil comprising at least one non apolar oil compound,

[0096] - a step of computing, by a computing system, a measurable polarity value defined as a ratio between the polar and nonpolar interactions of the oil mixture digital identifier, calculated by the dividing the difference of a molar polarizability value and a retrieved molar refractivity value of the oil, said difference corresponding to a dipole moment of the oil mixture, by the molar refractivity of the oil mixture, and providing, upon a computer interface, the computed measurable polarity value. The third to eighth aspects of the present invention provide the same advantages as the related first aspect.

[0097] The following presents a simplified summary of various aspects described herein. This summary is not an extensive overview and is not intended to identify key or critical elements or to delineate the scope of the claims. The following summary merely presents some concepts in a simplified form as an introductory prelude to the more detailed description provided below.

[0098] Aspects described herein revolve around the quick and easy calculation of a measurable polarity value for non apolar oil compounds or oil mixtures. Such calculated measurable polarity value provides significant advantages in a number of tasks, or use cases, of which some examples are disclosed below. Such calculations make use of easy to measure physicochemical parameter values which characterize non apolar oil compounds or oil mixtures to avoid complex and uncertain measurements to determine a polarity value. Such physicochemical parameter values may correspond to the relative permittivity and the refractive index of the non apolar oil compounds or oil mixtures.

[0099] In aspects described herein, such a measurable polarity value may be used in the following tasks:

[0100] - the comparison non apolar oil compounds or oil mixtures in polarity in order to select the desired polarity,

[0101] - the creation of database with values for each non apolar oil compound and / or mixture of oils,

[0102] - obtaining the polarity of an oil mixture containing unknown oil mixture such as the natural mixtures and extracts (essential oils),

[0103] - obtaining the polarity of an oil mixture containing very high number of oils such as some fragrances,

[0104] - predict physicochemical properties dependent on the oil polarity such as solubility,

[0105] - designing an oil mixture with desired polarity for specific application,

[0106] - detecting impurities or degradation of non apolar oil compounds in oil mixtures, and

[0107] - calculating solubility parameters for oils and oil mixtures with unknown oil mixture.

[0108] BRIEF DESCRIPTION OF THE DRAWINGS

[0109] Other advantages, purposes and particular characteristics of the invention shall be apparent from the following non-exhaustive description of at least one particular embodiment of the present invention, in relation to the drawings annexed hereto, in which:

[0110] [Figure 1] represents, schematically, a computer system with which an embodiment of the method subject of the present invention can be implemented,

[0111] [Figure 2] represents, schematically, a diagram of a computer architecture with which an embodiment of the method subject of the present invention can be implemented, [Figure 3] represents, schematically, a first embodiment of the method object of the present invention,

[0112] [Figure 4] represents, schematically, a second embodiment of the method object of the present invention,

[0113] [Figure 5] represents, schematically, a third embodiment of the method object of the present invention,

[0114] [Figure 6] represents, schematically, a graph linking water solubility to polarity value,

[0115] [Figure 7A] represents, schematically, a graph linking surfactant to fragrance ratio to polarity value,

[0116] [Figure 7B] represents, schematically, a graph linking ratios of different SURF MIX / FR relative to polarity value, and

[0117] [Figure 8] represents, schematically, a fourth embodiment of the method object of the present invention.

[0118] DETAILED DESCRIPTION OF THE INVENTION

[0119] This description is not exhaustive, as each feature of one embodiment may be combined with any other feature of any other embodiment in an advantageous manner. Also, various inventive concepts may be embodied as one or more methods, of which an example has been provided. The acts performed as part of the method may be ordered in any suitable way. Accordingly, embodiments may be constructed in which acts are performed in an order different than illustrated, which may include performing some acts simultaneously, even though shown as sequential acts in illustrative embodiments.

[0120] The indefinite articles ‘a’ and ‘an’, as used herein in the specification and in the claims, unless clearly indicated to the contrary, should be understood to mean ‘at least one’.

[0121] The phrase ‘and / or’, as used herein in the specification and in the claims, should be understood to mean ‘either or both’ of the elements so conjoined, i.e. , elements that are conjunctively present in some cases and disjunctively present in other cases. Multiple elements listed with ‘and / or’ should be construed in the same fashion, i.e. ‘one or more’ of the elements so conjoined. Other elements may optionally be present other than the elements specifically identified by the ‘and / or’ clause whether related or unrelated to those elements specifically identified. Thus, as a non-limiting example, a reference to ‘A and / or B’, when used in conjunction with open-ended language such as ‘comprising’ can refer, in one embodiment, to A only (optionally including elements other than B); in another embodiment, to B only (optionally including elements other than A); in yet another embodiment, to both A and B (optionally including other elements); etc.

[0122] As used herein in the specification and in the claims, ‘or’ should be understood to have the same meaning as ‘and / or’ as defined above. For example, when separating items in a list, ‘or’ or ‘and / or’ shall be interpreted as being inclusive, i.e. , the inclusion of at least one, but also including more than one, of a number or list of elements, and, optionally, additional unlisted items. Only terms clearly indicated to the contrary, such as ‘only one of’ or ‘exactly one of’, or, when used in the claims, ‘consisting of’, will refer to the inclusion of exactly one element of a number or list of elements. In general, the term ‘or’ as used herein shall only be interpreted as indicating exclusive alternatives (i.e. ‘one or the other but not both’) when preceded by terms of exclusivity, such as ‘either,’ ‘one of,’ ‘only one of’, or ‘exactly one of’. ‘Consisting essentially of,’ when used in the claims, shall have its ordinary meaning as used in the field of patent law.

[0123] As used herein in the specification and in the claims, the phrase ‘at least one’, in reference to a list of one or more elements, should be understood to mean at least one element selected from any one or more of the elements in the list of elements, but not necessarily including at least one of each and every element specifically listed within the list of elements and not excluding any combinations of elements in the list of elements. This definition also allows that elements may optionally be present other than the elements specifically identified within the list of elements to which the phrase ‘at least one’ refers, whether related or unrelated to those elements specifically identified. Thus, as a non-limiting example, ‘at least one of A and B’ (or, equivalently, ‘at least one of A or B’, or, equivalently ‘at least one of A and / or B’) can refer, in one embodiment, to at least one, optionally including more than one, A, with no B present (and optionally including elements other than B); in another embodiment, to at least one, optionally including more than one, B, with no A present (and optionally including elements other than A); in yet another embodiment, to at least one, optionally including more than one, A, and at least one, optionally including more than one, B (and optionally including other elements); etc.

[0124] In the claims, as well as in the specification above, all transitional phrases such as ‘comprising,’ ‘including,’ ‘carrying,’ ‘having,’ ‘containing,’ ‘involving,’ ‘holding,’ ‘composed of’, and the like are to be understood to be open-ended, i.e., to mean including but not limited to. Only the transitional phrases ‘consisting of’ and ‘consisting essentially of’ shall be closed or semi-closed transitional phrases, respectively.

[0125] In the context of this invention, an “non apolar oil compound” designates any oil, including flavor and fragrance single compounds (oils), as well as emollients.

[0126] In the context of this invention, an “oil mixture” designates a mixture of oils, including fragrance and flavor oils (at least one oils) as well as natural extracts such as essential oil, vegetable oil, plant extracts, and crude oils.

[0127] Such an non apolar oil compound or mixture can be used in a perfuming preparation or to impart a hedonic effect, i.e., used for the primary purpose of conferring or modulating an odor. In other words, such an non apolar oil compound or mixture, to be considered as being a perfuming one, must be recognized by a person skilled in the art as being able to impart or modify in a positive or pleasant way the odor of an non apolar oil compound or mixture, and not just as having an odor. The perfuming non apolar oil compound or mixture may impart an additional benefit beyond that of modifying or imparting an odor, such as long-lasting, blooming, malodor counteraction, antimicrobial effect, antiviral effect, microbial stability, or pest control.

[0128] The nature and type of the perfuming non apolar oil compounds or mixtures present in the base do not warrant a more detailed description here, which in any case would not be exhaustive, the skilled person being able to select them on the basis of his general knowledge and according to the intended use or application and the desired organoleptic effect. Perfuming oils are in any case listed in reference texts such as the book by S. Arctander, Perfume and Flavor Chemicals, 1969, Montclair, New Jersey, USA, or its more recent versions, or in other works of a similar nature, as well as in the abundant patent literature in the field of perfumery.

[0129] In a general manner, the terms “digital identifier” refer to any digital representation of a physical, material or materializable, item, such as an non apolar oil compound or mixture. Such a digital identifier may correspond to, for example, an entry in a database. A digital identifier may refer to a label representative of the name, chemical structure or internal reference of an non apolar oil compound or mixture, for example.

[0130] In the context of the present description, the term “materialized” or “assembled” is intended as existing outside of a digital environment. “Materialized” or “assembled” may mean, for example, readily found in nature or synthesized in a laboratory or chemical plant. In any event, a materialized or assembled non apolar oil compound or mixture digital identifier presents a tangible reality. The term “materializable” is intended as having the capability of existing outside of a digital environment. For example, a materializable non apolar oil compound or mixture digital identifier generated during a step of a method may be synthesized and thus made material and this non apolar oil compound or mixture is therefore materializable.

[0131] As used herein, the terms “means of inputting” refer to, for example, a keyboard, mouse and / or touchscreen adapted to interact with a computing system in such a way to collect user input. In variants, the means of inputting are logical in nature, such as a network port of a computing system configured to receive an input command transmitted electronically. Such input means may be associated to a GUI (Graphic User Interface) shown to a user or an API (Application programming interface). In other variants, the means of inputting may be a sensor configured to measure a specified physical parameter relevant for the intended use case. Examples of means of inputting are disclosed in regard to figure 1 .

[0132] As used herein, the terms “computing system”, “computer”, or “computer system” designate any electronic calculation device, whether unitary or distributed, capable of receiving numerical inputs and providing numerical outputs by and to any sort of interface, digital and / or analog. Typically, a computing system designates either a computer executing a software having access to data storage or a client-server architecture wherein the data and / or calculation is performed at the server side while the client side acts as an interface. Examples of such computing systems are disclosed in regard to figure 1 .

[0133] As used herein, the term “database” refers to any physical and / or virtual storage of data. Such a database can refer to a computer memory accessible in a computer network, upon which a database management system is run. In simpler embodiments, a database can correspond to a table stored in a computer memory. Such a table may be stored in a document, such as a Microsoft Excel document.

[0134] It should be understood that, in the context of the present document, a “computer interface” may correspond to a graphic or software interface. In the context of a graphic user interface (or GUI), a user may perform a number of potential actions, such as selecting an item from a list or inputting alphanumeric characters in an input field. As used herein, the terms “relative permittivity” or “dielectric constant” refer to the permittivity of a material expressed as a ratio with the electric permittivity of a vacuum.

[0135] As used herein, the terms “refractive index” refer to the ratio of the apparent speed of light in a medium to the speed in air or vacuum.

[0136] As used herein, the terms “molar polarizability” refer to a relative tendency of a charge distribution, like the electron cloud of an atom or compound, to be distorted from its normal shape by an external electric field.

[0137] As used herein, the terms “molar refractivity” refer to a measure of the total polarizability of a mole of a substance.

[0138] Figure 1 further represents a block diagram that illustrates an example computer system 100 with which an embodiment of the present invention may be implemented. In the example of figure 1 , a computer system 105 and instructions for implementing the disclosed technologies in hardware, software, or a combination of hardware and software, are represented schematically, for example as boxes and circles, at the same level of detail that is commonly used by persons of ordinary skill in the art to which this disclosure pertains for communicating about computer architecture and computer systems implementations.

[0139] The computer system 105 includes an input / output (IO) subsystem 120 which may include a bus and / or other communication mechanism(s) for communicating information and / or instructions between the components of the computer system 105 over electronic signal paths. The I / O subsystem 120 may include an I / O controller, a memory controller and at least one I / O port. The electronic signal paths are represented schematically in the drawings, for example as lines, unidirectional arrows, or bidirectional arrows.

[0140] At least one hardware processor 110 is coupled to the I / O subsystem 120 for processing information and instructions. Hardware processor 110 may include, for example, a general-purpose microprocessor or microcontroller and / or a specialpurpose microprocessor such as an embedded system or a graphics processing unit (GPU) or a digital signal processor or ARM processor. Processor 110 may comprise an integrated arithmetic logic unit (ALU) or may be coupled to a separate ALU.

[0141] Computer system 105 includes one or more units of memory 125, such as a main memory, which is coupled to I / O subsystem 120 for electronically digitally storing data and instructions to be executed by processor 110. Memory 125 may include volatile memory such as various forms of random-access memory (RAM) or other dynamic storage device. Memory 125 also may be used for storing temporary variables or other intermediate information during execution of instructions to be executed by processor 110. Such instructions, when stored in non-transitory computer-readable storage media accessible to processor 110, can render computer system 105 into a special-purpose machine that is customized to perform the operations specified in the instructions.

[0142] Computer system 105 further includes non-volatile memory such as read only memory (ROM) 130 or other static storage device coupled to the I / O subsystem 120 for storing information and instructions for processor 110. The ROM 130 may include various forms of programmable ROM (PROM) such as erasable PROM (EPROM) or electrically erasable PROM (EEPROM). A unit of persistent storage 115 may include various forms of non-volatile RAM (NVRAM), such as FLASH memory, or solid-state storage, magnetic disk, or optical disk such as CD-ROM or DVD-ROM and may be coupled to I / O subsystem 120 for storing information and instructions. Storage 115 is an example of a non-transitory computer-readable medium that may be used to store instructions and data which when executed by the processor 110 cause performing computer-implemented methods to execute the techniques herein.

[0143] The instructions in memory 125, ROM 130 or storage 115 may comprise one or more sets of instructions that are organized as modules, methods, objects, functions, routines, or calls. The instructions may be organized as one or more computer programs, operating system services, or application programs including mobile apps. The instructions may comprise an operating system and / or system software; one or more libraries to support multimedia, programming or other functions; data protocol instructions or stacks to implement TCP / IP, HTTP or other communication protocols; file format processing instructions to parse or render files coded using HTML, XML, JPEG, MPEG or PNG; user interface instructions to render or interpret commands for a graphical user interface (GUI), command-line interface or text user interface; application software such as an office suite, Internet access applications, design and manufacturing applications, graphics applications, audio applications, software engineering applications, educational applications, games or miscellaneous applications. The instructions may implement a web server, web application server or web client. The instructions may be organized as a presentation layer, application layer and data storage layer such as a relational database system using structured query language (SQL) or no SQL, an object store, a graph database, a flat file system or other data storage.

[0144] Computer system 105 may be coupled via I / O subsystem 120 to at least one output device 135. In one embodiment, output device 135 is a digital computer display or Human Machine Interface. Examples of a display that may be used in various embodiments include a touchscreen display or a light-emitting diode (LED) display or a liquid crystal display (LCD) or an e-paper display. Computer system 105 may include other type(s) of output devices 135, alternatively or in addition to a display device. Examples of other output devices 135 include printers, ticket printers, plotters, projectors, sound cards or video cards, speakers, buzzers or piezoelectric devices or other audible devices, lamps or LED or LCD indicators, haptic devices, actuators, or servos.

[0145] At least one input device 140 is coupled to I / O subsystem 120 for communicating signals, data, command selections or gestures to processor 110. Examples of input devices 140 include touchscreens, microphones, still and video digital cameras, alphanumeric and other keys, keypads, keyboards, graphics tablets, image scanners, joysticks, clocks, switches, buttons, dials, slides.

[0146] Another type of input device is a control device 145, which may perform cursor control or other automated control functions such as navigation in a graphical interface on a display screen, alternatively or in addition to input functions. Control device 145 may be a touchpad, a mouse, a trackball, or cursor direction keys for communicating direction information and command selections to processor 110 and for controlling cursor movement on display 135. The input device may have at least one degrees of freedom in two axes, a first axis (e.g., x) and a second axis (e.g., y), that allows the device to specify positions in a plane. Another type of input device is a wired, wireless, or optical control device such as a joystick, wand, console, steering wheel, pedal, gearshift mechanism or other type of control device. An input device 140 may include a combination of multiple different input devices, such as a video camera and a depth sensor.

[0147] In another embodiment, computer system 105 may comprise an Internet of things (loT) device in which one or more of the output device 135, input device 140, and control device 145 are omitted. Or, in such an embodiment, the input device 140 may comprise one or more cameras, motion detectors, thermometers, microphones, seismic detectors, other sensors or detectors, measurement devices or encoders and the output device 135 may comprise a special-purpose display such as a single-line LED or LCD display, one or more indicators, a display panel, a meter, a valve, a solenoid, an actuator or a servo.

[0148] Computer system 105 may implement the techniques described herein using customized hard-wired logic, at least one ASIC or FPGA, firmware and / or program instructions or logic which when loaded and used or executed in combination with the computer system causes or programs the computer system to operate as a specialpurpose machine. According to one embodiment, the techniques herein are performed by computer system 105 in response to processor 110 executing at least one sequence of at least one instruction contained in main memory 125. Such instructions may be read into main memory 125 from another storage medium, such as storage 115. Execution of the sequences of instructions contained in main memory 125 causes processor 110 to perform the process steps described herein. In alternative embodiments, hard-wired circuitry may be used in place of or in combination with software instructions.

[0149] The term “storage media” as used herein refers to any non-transitory media that store data and / or instructions that cause a machine to operate in a specific fashion. Such storage media may comprise non-volatile media and / or volatile media. Nonvolatile media includes, for example, optical or magnetic disks, such as storage 115. Volatile media includes dynamic memory, such as memory 125. Common forms of storage media include, for example, a hard disk, solid state drive, flash drive, magnetic data storage medium, any optical or physical data storage medium, memory chip, or the like.

[0150] Storage media is distinct from but may be used in conjunction with transmission media. Transmission media participates in transferring information between storage media. For example, transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise a bus of I / O subsystem 120. Transmission media can also take the form of acoustic or light waves, such as those generated during radio-wave and infra-red data communications.

[0151] Various forms of media may be involved in carrying at least one sequence of at least one instruction to processor 110 for execution. For example, the instructions may initially be carried on a magnetic disk or solid-state drive of a remote computer. The remote computer can load the instructions into its dynamic memory and send the instructions over a communication link such as a fiber optic or coaxial cable or telephone line using a modem. A modem or router local to computer system 105 can receive the data on the communication link and convert the data to a format that can be read by computer system 105. For instance, a receiver such as a radio frequency antenna or an infrared detector can receive the data carried in a wireless or optical signal and appropriate circuitry can provide the data to I / O subsystem 120 such as place the data on a bus. I / O subsystem 120 carries the data to memory 125, from which processor 110 retrieves and executes the instructions. The instructions received by memory 125 may optionally be stored on storage 115 either before or after execution by processor 110.

[0152] Computer system 105 also includes a communication interface 160 coupled to bus 120. Communication interface 160 provides a two-way data communication coupling to network link(s) 165 that are directly or indirectly connected to at least one communication network, such as a network 170 or a public or private cloud on the Internet. For example, communication interface 160 may be an Ethernet networking interface, integrated-services digital network (ISDN) card, cable modem, satellite modem, or a modem to provide a data communication connection to a corresponding type of communications line, for example an Ethernet cable or a metal cable of any kind or a fiber-optic line or a telephone line. Network 170 broadly represents a local area network (LAN), wide-area network (WAN), campus network, internetwork, or any combination thereof. Communication interface 160 may comprise a LAN card to provide a data communication connection to a compatible LAN, or a cellular radiotelephone interface that is wired to send or receive cellular data according to cellular radiotelephone wireless networking standards, or a satellite radio interface that is wired to send or receive digital data according to satellite wireless networking standards. In any such implementation, communication interface 160 sends and receives electrical, electromagnetic, or optical signals over signal paths that carry digital data streams representing various types of information.

[0153] Network link 165 typically provides electrical, electromagnetic, or optical data communication directly or through at least one network to other data devices, using, for example, satellite, cellular, Wi-Fi, or BLUETOOTH technology. For example, network link 165 may provide a connection through a network 170 to a host computer 150.

[0154] Furthermore, network link 165 may provide a connection through network 170 or to other computing devices via internetworking devices and / or computers that are operated by an Internet Service Provider (ISP) 175. ISP 175 provides data communication services through a world-wide packet data communication network represented as Internet 180. A server computer 155 may be coupled to Internet 180. Server 155 broadly represents any computer, data center, virtual machine, or virtual computing instance with or without a hypervisor, or computer executing a containerized program system such as DOCKER or KUBERNETES. Server 155 may represent an electronic digital service that is implemented using more than one computer or instance and that is accessed and used by transmitting web services requests, uniform resource locator (URL) strings with parameters in HTTP payloads, API calls, app services calls, or other service calls. Computer system 105 and server 155 may form elements of a distributed computing system that includes other computers, a processing cluster, server farm or other organization of computers that cooperate to perform tasks or execute applications or services. Server 155 may comprise one or more sets of instructions that are organized as modules, methods, objects, functions, routines, or calls. The instructions may be organized as one or more computer programs, operating system services, or application programs including mobile apps. The instructions may comprise an operating system and / or system software; one or more libraries to support multimedia, programming or other functions; data protocol instructions or stacks to implement TCP / IP, HTTP or other communication protocols; file format processing instructions to parse or render files coded using HTML, XML, JPEG, MPEG or PNG; user interface instructions to render or interpret commands for a graphical user interface (GUI), command-line interface or text user interface; application software such as an office suite, Internet access applications, design and manufacturing applications, graphics applications, audio applications, software engineering applications, educational applications, games or miscellaneous applications. Server 155 may comprise a web application server that hosts a presentation layer, application layer and data storage layer such as a relational database system using structured query language (SQL) or no SQL, an object store, a graph database, a flat file system or other data storage.

[0155] Computer system 105 can send messages and receive data and instructions, including program code, through the network(s), network link 165 and communication interface 160. In the Internet example, a server 155 might transmit a requested code for an application program through Internet 180, ISP 175, local network 170 and communication interface 160. The received code may be executed by processor 110 as it is received, and / or stored in storage 115, or other non-volatile storage for later execution.

[0156] The execution of instructions as described in this section may implement a process in the form of an instance of a computer program that is being executed and consisting of program code and its current activity. Depending on the operating system (OS), a process may be made up of multiple threads of execution that execute instructions concurrently. In this context, a computer program is a passive collection of instructions, while a process may be the actual execution of those instructions. Several processes may be associated with the same program; for example, opening up several instances of the same program often means more than one process is being executed. Multitasking may be implemented to allow multiple processes to share processor 110. While each processor 110 or core of the processor executes a single task at a time, computer system 105 may be programmed to implement multitasking to allow each processor to switch between tasks that are being executed without having to wait for each task to finish. In an embodiment, switches may be performed when tasks perform input / output operations, when a task indicates that it can be switched, or on hardware interrupts. Time-sharing may be implemented to allow fast response for interactive user applications by rapidly performing context switches to provide the appearance of concurrent execution of multiple processes simultaneously. In an embodiment, for security and reliability, an operating system may prevent direct communication between independent processes, providing strictly mediated and controlled interprocess communication functionality.

[0157] Figure 2 depicts a system for providing a measurable polarity value for a materializable and / or materialized oil from a user device 201 .

[0158] The user device 201 is shown as connected, via a network 208, to an non apolar oil compound database 202, a oil mixture database 203, an non apolar oil compound parameter database 207, and an oil mixture parameter database 206.

[0159] The non apolar oil compound database 202 and / or the oil mixture database 203 may reside in a same database or separate databases. The non apolar oil compound parameter database 207 and / or the oil mixture parameter database 206 may reside in a same database or separate database. Alternatively, at least one of the databases mentioned in the present description may reside in the same database. It should be noted that, in particular embodiments, the network 208 corresponds to an internal information network within a single computing device, such as a computer for example. Each of the non apolar oil compound database 202, oil mixture database 203, non apolar oil compound parameter database 207, oil mixture parameter database 206, may be one or more computing devices, such as a computing device comprising one or more processors and memory storing instructions that, when executed by the one or more processors, perform one or more steps as described further herein. For example, any of those devices might be the same or similar as the computing device of figure 1 .

[0160] As part of the providing process, the user device 201 might communicate, via the network, to access a provision server (not represented) for a request for providing a measurable polarity value for a materializable and / or materialized non apolar oil compound or mixture. Alternatively, the user device 201 may present the sufficient computing capabilities which, based on non apolar oil compound or mixture data, allow for the determination of the measurable polarity value. In such cases, the user device 201 might communicate solely to the relevant databases to obtain the needed parameter values to calculate the measurable polarity value.

[0161] The user device 201 may be a component in a system that may also include an non apolar oil compound or mixture manufacturing device. The user device 301 shown here might be a smartphone, laptop, or the like. For example, the user device 201 might access a website associated with a provision server, and the user device 201 might provide (e.g., over the Internet and by filling out an online form) candidate authentication credentials to that website. The provision server may then determine whether the authentication credentials are valid. For example, the provision server might compare the candidate authentication credentials received from the user device 201 with authentication credentials stored by a user account database (not shown in figure 2). The user device 201 may be a device that is suitable for manufacturing oils.

[0162] The non apolar oil compound database 202 might comprise non apolar oil compound data, such as a unique non apolar oil compound digital identifier, an non apolar oil compound class or category, an non apolar oil compound name, a description, one or more corresponding identifiers in other databases.

[0163] The non apolar oil compound digital identifiers in the oil database 202 may be used for display purposes by the user device 201 so that a user selects at least one non apolar oil compound digital identifier.

[0164] The oil mixture database 203 might comprise oil mixture data, such as a unique oil mixture digital identifier, an oil mixture name, an oil mixture class or category, a description, one or more corresponding identifiers in other databases, a list of at least one digital identifiers of non apolar oil compounds which constitute said oil mixture and / or a list of associated oil concentrations to form said oil mixture, a list of at least one non apolar oil compound digital identifiers of non apolar oil compounds which constitute said oil mixture and / or a list of associated non apolar oil compound concentrations to form said oil mixture.

[0165] The oil mixture digital identifiers in the oil mixture database 203 may be used for display purposes by the user device 201 so that a user selects at least one oil mixture digital identifier.

[0166] Selecting an oil mixture digital identifier corresponds to selecting at least one non apolar oil compound digital identifier as the oil mixture to compound relationship can be retrieved from the oil mixture database 203.

[0167] Based on the selected oil mixture, oil and / or compound digital identifier, the user device 201 (or provision server) may access an non apolar oil compound parameter database 207 and retrieve at least one parameter value.

[0168] The oil mixture parameter database 206 might comprise an oil mixture digital identifier, an oil digital identifier, an associated parameter name, a parameter digital identifier, a parameter value, and / or a parameter description.

[0169] Such an non apolar oil compound or mixture parameter may correspond, for example, a polar interactions value, a nonpolar interactions value, a molar polarizability value, a retrieved molar refractivity value, a solubility in water value, a solubility in solvents value, a surface tension value, a viscosity value and / or a density value.

[0170] Based on the retrieved at least one parameter value, the user device 201 (or provision server) may compute a polarity value based on the retrieved at least one parameter value. The nature of this computation depends on the type of the parameters retrieved.

[0171] In particular embodiments, the calculation performed corresponds to: polar

[0172] PNPI = — - — nonpolar where:

[0173] - PNPI corresponds to the measurable polarity value,

[0174] - polar corresponds to the polar interactions of the non apolar oil compound or oil mixture, said value being respectively retrieved from the non apolar oil compound parameter database 207 or the oil mixture 206 parameter database, and nonpolar corresponds to non-polar interactions of the non apolar oil compound or oil mixture, said value being respectively retrieved from the non apolar oil compound parameter database 207 or the oil mixture 206 parameter database. In particular embodiments, the calculation performed corresponds to:

[0175] Pm — Rm PNPI = - - -

[0176] Rm where:

[0177] - PNPI corresponds to the measurable polarity value,

[0178] - Pm corresponds to a molar polarizability value of the non apolar oil compound or oil mixture, said value being respectively retrieved from the non apolar oil compound parameter database 207 or the oil mixture 206 parameter database, and

[0179] - Rm corresponds to a molar refractivity value of the compound, oil or oil mixture, said value being respectively retrieved from the non apolar oil compound parameter database 207 or the oil mixture 206 parameter database.

[0180] In particular embodiments, such as for complex mixtures of compounds the calculation performed corresponds to: where:

[0181] - PNPI corresponds to the measurable polarity value,

[0182] - P^ corresponds to an averaged of the molar polarizability value of the compounds in an oil mixture, said values being retrieved from the non apolar oil compound parameter database 207, and

[0183] - R^ corresponds to an averaged of the molar refractivity value of the compounds in an oil mixture, said values being respectively retrieved from the non apolar oil compound parameter database 207.

[0184] In particular embodiments, the calculation performed corresponds to: where: - PNPI corresponds to the measurable polarity value,

[0185] - E corresponds to the dielectric constant of the non apolar oil compound or oil mixture, said value being respectively retrieved from the non apolar oil compound parameter database 207 or the oil mixture 206 parameter database, and

[0186] - n corresponds to the refractive index of the non apolar oil compound or oil mixture, said value being respectively retrieved from the non apolar oil compound parameter database 207 or the oil mixture 206 parameter database. It should be noted that interaction with the computing device may be performed through computer interfaces, which may correspond to graphic user interfaces or software interfaces, such as APIs for example. Such computer interfaces may comprise input and output capabilities.

[0187] Having discussed several examples of computing devices which may be used to implement some aspects as discussed further below, discussion will now turn to the scientific theory behind the present invention.

[0188] All compounds are polarizable.

[0189] Nonpolar compounds have neither a free charge nor a dipole moment. Their polarizability is coming solely from the displacement of the negatively charged electron cloud with respect to the positive nucleus under the action of the electric fields of the surrounding compounds. This is the so-called electronic polarizability ao.

[0190] Thus, the polarizability a of polar compounds is a sum of both electronic and dipolar polarizability and it is given by Debye-Langevin equation: u2a = aQ+ — — (1 ) u 3kTv' where u is the dipole moment, is the Boltzman constant, T is the temperature in K.

[0191] For nonpolar compounds: a=ao, whereas for polar compounds o ao.

[0192] For nonpolar compounds (u = 0), the total polarizability is directly proportional to the square of the refractive index according to Lorentz-Lorenz equation: where n is the refractive index, v is the molecular volume (=MW / pNA), £o is the dielectric constant of vacuum and Rm is called molar refractivity. For polar compounds the total polarizability is directly proportional to the dielectric constant via Clausius-Mossotti equation: where Pm is called molar polarizability, and E is the dielectric constant.

[0193] The difference between the total and the electronic polarizability allows to determine the induced dipole moment of the compound: u2

[0194] — = a - a0(4) K

[0195] The molar refractivity Rm and the molar polarizability Pm are defined with the following equations:

[0196] Therefore, by measuring n and E one could calculate first Rm* Pm* and then Rm and Pm knowing the molecular weight and the density of a single compound. These parameters are characteristics for each compound and distinguish the polar and nonpolar compounds. The difference (Pm-Rm) represents the dipole moment:

[0197] > in [C.m] units (7) where EQis the dielectric constant in vacuum (8.85*10’12C2J’1nr1).

[0198] Pm and Rm can be correlated to other important physicochemical parameters such as log P, water solubility, or surface tension.

[0199] All these equations are valid for pure liquids in a gas medium (n and E = 1 ).

[0200] For complex natural oil mixtures, such as the essential oils and the vegetable oils for example, the determination of Pm and Rm is not possible because the molecular volume is unknown. It could be estimated as an averaged value from the oil mixture of the mixture in the case the oil mixture is known, and the mixture can be considered as ideal one. Moreover, sometimes the mixtures contain hundreds of compounds, and the calculation of an averaged volume is laborious. For the natural mixtures the estimation of the molecular weight and volume is not an easy task.

[0201] For this reason, the ratio between the polar and nonpolar interactions is a good indicator for the degree of polarity of the mixtures:

[0202] This number is characteristic for each oil mixture, it is a dimensionless parameter having an absolute value. The main advantage of PNPI number is that it does not require knowledge of the molecular weight and the density and can be used for any liquid mixture. The only parameters necessary to be measured, are the refractive index and the dielectric constant of the studied liquid.

[0203] The interaction energy (Van der Waals and H-bondings) is proportional to a2or ao2. Thus, PNPI2is a parameter proportional to the ratio between the polar and nonpolar interaction energies.

[0204] In summary, to obtain the polarity of an oil complex mixture, the refractive index and the dielectric constant of the liquid can be measured and PNPI value for each mixture can be calculated using the equation (8). Higher PNPI is, higher is the polarity of the mixture. Measure PNPI values can be used to create a database for solubility prediction, classification and / or design of oil mixtures with desired polarity.

[0205] In particular variants, for each compound or a mixture of compounds one can measure dielectric constant and refractive index and then, calculate the PNPI parameter of the compound or of the entire mixture. This allows for databases for single compounds and for mixtures can be created. In such variants, if dielectric constant and refractive index of individual compounds are measured, these values can be added in a weighted sum, as a function of the fraction of each such compound in a mixture of at least two compounds, to form equivalent mixture dielectric constant and refractive index values, which can be used to determine the PNPI of the mixture.

[0206] In other variants, the PNPI of different compounds can be calculated separately and, by using a mixing rule, PNPI of the mixture can be calculated. The mixing rule can be ideal mixing rule or regular and real mixing rules. Then, measured and calculated values for the mixtures can be compared. Such mixing rules can correspond to a weighted average of the PNPI scores of different compounds as a function of the fraction of the compound in the mixture.

[0207] The advantage of the invention is that one can determine polarity (PNPI parameter values) for mixtures by measuring the dielectric constant and the refractive index. Having discussed several examples of computing devices which may be used to implement some aspects as discussed further below, discussion will now turn to a method for providing a measurable polarity value.

[0208] Figure 3 shows, schematically, a method 300 for providing a measurable polarity value for a materializable and / or materialized oil, said oil comprising at least one compounds, which comprises:

[0209] - a step of defining 305, upon a computer interface, an oil mixture digital identifier, representing a materializable oil mixture, comprising a step of selecting 310, upon a computer interface:

[0210] - at least one non apolar oil compound digital identifiers in a database of non apolar oil compound digital identifiers, each non apolar oil compound digital identifier being representative of a materializable non apolar oil compound, to form an oil mixture digital identifier, or

[0211] - an oil mixture digital identifier, in a database of oil mixture digital identifiers, said oil mixture digital identifier being representative of a materializable and / or materialized oil mixture comprising at least one non apolar oil compound,

[0212] - a step of computing 320, by a computing system, a measurable polarity value defined as a ratio between the polar and nonpolar interactions of the oil mixture digital identifier, calculated by the dividing the difference of a molar polarizability value and a retrieved molar refractivity value of the oil mixture, said difference corresponding to a dipole moment of the oil mixture, by the molar refractivity of the oil mixture, and

[0213] - a step of providing 325, upon a computer interface, the computed measurable polarity value.

[0214] The step of defining 305 may be performed, for example, via a computer interface (either graphical or software) associated with an oil digital identifier definition computer software executed by a computing device, such as the one disclosed in figure 1. Said software may be unitary or distributed with other software elements disclosed herein.

[0215] This step of defining 305 comprises the step of selecting 310, upon a computer interface: - at least one non apolar oil compound digital identifiers in a database of non apolar oil compound digital identifiers, each non apolar oil compound digital identifier being representative of a materializable non apolar oil compound, or

[0216] - an oil mixture digital identifier, in a database of oil mixture digital identifiers, said oil mixture digital identifier being representative of a materializable and / or materialized oil mixture comprising at least one non apolar oil compound.

[0217] The step of selecting 310 may be performed, for example, via a computer interface (either graphical or software) associated with a selection computer software executed by a computing device, such as the one disclosed in figure 1 . Said software may be unitary or distributed with other software elements disclosed herein.

[0218] During this step of selecting 310, at least one non apolar oil compound digital identifiers are selected, or an oil mixture digital identifier is selected, said oil mixture digital identifier being associated, in a database, to at least one non apolar oil compound digital identifiers.

[0219] The step of computing 320 may be performed, for example, via the execution of a computation computer software executed by a computing device, such as the one disclosed in figure 1. Said software may be unitary or distributed with other software elements disclosed herein.

[0220] During the step of computing 320, any one of the equations mentioned in relation to figure 2 may be calculated based on the relative retrieved data.

[0221] The step of providing 325 may be performed, for example, via a computer interface (either graphical or software) associated with a provision computer software executed by a computing device, such as the one disclosed in figure 1 . Said software may be unitary or distributed with other software elements disclosed herein.

[0222] In particular embodiments, the method 300 further comprises, prior to the step of computing 320, a step of retrieving 330, from a database of measured oil parameter values, a value representative of the relative permittivity of the oil and a value representative of the refractive index of the oil, wherein the measurable polarity value is computed by the following equation: wherein:

[0223] - PNPI designates the measurable polarity value, - E represents the relative permittivity of the non apolar oil compound or mixture, and

[0224] - n represents the refractive index of the non apolar oil compound or mixture.

[0225] The step of retrieving 330 may be performed, for example, via a network interface associated with a data retrieval computer software executed by a computing device, such as the one disclosed in figure 1. Said software may be unitary or distributed with other software elements disclosed herein.

[0226] In particular embodiments, the method 300 further comprises:

[0227] - a step of calculating 335, by a computing system, a measurable molar refractivity value, called “Rm”, for the oil computed by the following equation: wherein:

[0228] - MW represents the molecular weight of the non apolar oil compound or mixture,

[0229] - p represents the density of the non apolar oil compound or mixture.

[0230] - a step of calculating 340, by a computing system, a measurable molar polarizability value, called “Pm”, for the oil computed by the following equation:

[0231] The step of calculating 335 may be performed, for example, via a calculation computer software executed by a computing device, such as the one disclosed in figure 1. Said software may be unitary or distributed with other software elements disclosed herein.

[0232] The step of calculating 340 may be performed, for example, via a calculation computer software executed by a computing device, such as the one disclosed in figure 1. Said software may be unitary or distributed with other software elements disclosed herein.

[0233] In particular embodiments, the method 300 further comprises a step of constituting 345 the database of measured oil mixture parameter values, comprising:

[0234] - a step of empirically measuring 350 a value representative of a molar polarizability of an oil mixture comprising at least one compound,

[0235] - a step of empirically measuring 355 a value representative of a measured molar refractivity of an oil mixture comprising at least one compounds and - a step of storing 360, in the database, the measured the value representative of a molar polarizability of the oil mixture and the measured molar refractivity of the oil mixture, said values being stored in relation to an oil mixture digital identifier or to a selection of at least one non apolar oil compound digital identifiers.

[0236] The step of empirically measuring 350 a value representative of a molar polarizability of an oil mixture comprising at least one compounds is performed, for example, by executing a measurement protocol suited for the measurement of said value representative of a molar polarizability of an oil mixture.

[0237] Such a value may correspond to a molar polarizability value, to a molecular weight, to a dielectric constant, or to a density value.

[0238] The step of empirically measuring 355 a value representative of a molar refractivity of an oil mixture comprising at least one compounds is performed, for example, by executing a measurement protocol suited for the measurement of said value representative of a molar refractivity of an oil mixture.

[0239] Such a value may correspond to a molar refractivity value, to a molecular weight, to a refractive index, or to a density value.

[0240] The step of storing 360 may be performed, for example, via a computer interface (either graphical or software) associated with an input computer software executed by a computing device, such as the one disclosed in figure 1 . Said software may be unitary or distributed with other software elements disclosed herein.

[0241] In particular embodiments, the method 100 object of the present invention comprises a step of solubilizing 365 a solid non apolar oil compound or mixture prior to a step of empirically measuring, 350 and / or 355.

[0242] The step of solubilizing 365 is performed by introducing an non apolar oil compound or mixture into a solvent, following the suited scientific protocol to allow for standardized measurements.

[0243] Figure 4 represents, schematically, a particular embodiment of a method 400 object of the present invention. This method 400 for providing a measurable polarity value for a materializable and / or materialized oil mixture, comprises:

[0244] - a step of defining 405, upon a computer interface, an oil mixture digital identifier, representing a materializable oil mixture comprising, comprising a step of selecting 410, upon a computer interface, at least one non apolar oil compound digital identifiers in a database of non apolar oil compound digital identifiers, each non apolar oil compound digital identifier being representative of a materializable non apolar oil compound,

[0245] - a step of inputting 415, upon a computer interface, a relative quantity of each non apolar oil compound digital identifiers selected,

[0246] - a step of retrieving 420, via a computer interface, for each non apolar oil compound digital identifier selected, a computed measurable polarity value such as obtained from executing a method according to figure 3,

[0247] - a step of determining 425, by a computing system, a measurable oil mixture polarity value corresponding to the weighted sum of the computed measurable polarity value of the selected non apolar oil compound digital identifiers selected, wherein the weights correspond to the input relative quantity of each non apolar oil compound digital identifiers selected, and

[0248] - a step of providing 430, upon a computer interface, the determined measurable oil mixture polarity value.

[0249] The steps of defining 405 and selecting 410 may be performed in a similar manner to the steps of defining 305 and selecting 310 such as disclosed in regard to figure 3.

[0250] The step of inputting 415 may be performed, for example, via a computer interface (either graphical or software) associated with an input computer software executed by a computing device, such as the one disclosed in figure 1 . Said software may be unitary or distributed with other software elements disclosed herein.

[0251] During the step of inputting 415 a relative (in %) or absolute quantity (in mol) of an non apolar oil compound in an oil mixture may be input.

[0252] After the step of inputting 415 is performed, the resulting non apolar oil compound and quantity values correspond to the digital representation of an oil mixture, which can be associated with an oil mixture digital identifier.

[0253] The step of retrieving 420 may be performed, for example, via a network interface associated with a data retrieval computer software executed by a computing device, such as the one disclosed in figure 1. Said software may be unitary or distributed with other software elements disclosed herein.

[0254] The step of determining 425 may be performed, for example, calculation computer software executed by a computing device, such as the one disclosed in figure 1. Said software may be unitary or distributed with other software elements disclosed herein. During this step of determining 425, a weighted average may be calculated.

[0255] The step of providing 430 may be performed, for example, via a computer interface (either graphical or software) associated with a provision computer software executed by a computing device, such as the one disclosed in figure 1 . Said software may be unitary or distributed with other software elements disclosed herein.

[0256] In particular embodiments, the method 400 object of the present invention further comprises a step of sending 435, upon a computer interface, a digital command representative of an instruction of materialising at least one oil corresponding to at least one oil digital identifier defined.

[0257] The step of sending 435 may be performed, for example, via a transmission computer software executed by a computing device, such as the one disclosed in figure 1. Said software may be unitary or distributed with other software elements disclosed herein.

[0258] During the step of sending 435 a digital command is sent, said command comprising at least one oil digital identifier as well as at least one quantity for each said oil digital identifier.

[0259] In particular embodiments, the method 400 object of the present invention further comprises a step of materialising 440 at least one oil mixture corresponding to at least one oil mixture digital identifier defined.

[0260] The step of materializing 440 may be performed in a variety of ways suited for the manufacturing of an oil mixture in a laboratory or plant. Such a step is not disclosed herein, considering it is widely known to the field of fragrance and flavor manufacturing, for example.

[0261] Figure 5 represents, schematically, a particular embodiment of a method 500 object of the present invention. This method 500 for providing a measurable value for a physicochemical parameter of a materializable and / or materialized non apolar oil compound or mixture, said value being dependent of the polarity comprises:

[0262] - a step of empirically measuring 505 a value for a physicochemical parameter of a materialized non apolar oil compound or mixture associated with an non apolar oil compound or mixture digital identifier,

[0263] - a step of retrieving 510, via a computer interface, for said non apolar oil compound or mixture digital identifiers, a computed measurable polarity such as obtained by executing the method 300 of figure 3, - a step of determining 515, by a computing a system, equation parameters for a standardized equation associating the empirically measured value to the retrieved computed measurable polarity value,

[0264] - a step of selecting 520, upon a computer interface, an non apolar oil compound or mixture digital identifier in a database of non apolar oil compound or mixture digital identifiers,

[0265] - a step of retrieving 525, via a computer interface, for said selected non apolar oil compound or mixture digital identifiers, a computed measurable polarity value such as obtained from executing a method according to figure 3,

[0266] - a step of calculating 530, by a computing a system, based on the determined equation parameters, a value for a physicochemical parameter for said selected oil digital identifier, and

[0267] - a step of providing 535, upon a computer interface, the calculated value.

[0268] The step of empirically measuring 505 can be performed in a similar fashion to any one of the steps of empirically measuring, 350 and 355, such as disclosed in relation to figure 3.

[0269] During this step of empirically measuring 505 a value of a physicochemical parameter of a materialized non apolar oil compound or mixture is measured. Such a physicochemical parameter may correspond to log P, water solubility or surface tension for example.

[0270] The step of retrieving 510 may be performed, for example, via a data retrieval computer software executed by a computing device, such as the one disclosed in figure 1. Said software may be unitary or distributed with other software elements disclosed herein.

[0271] The step of determining 515 may be performed, for example, via a calculation computer software executed by a computing device, such as the one disclosed in figure 1. Said software may be unitary or distributed with other software elements disclosed herein.

[0272] During the step of determining 515, a fit function calculation may be performed to determine function parameter values which allow the closest extrapolation between a computed measurable polarity value and said physicochemical parameter of a materialized oil associated with a liquid flavor.

[0273] Such a fit function may be linear, polynomial, exponential, logarithmic and so on. The step of selecting 520 may be performed in a similar manner to the step of selecting 305 disclosed in regard to figure 3.

[0274] The step of retrieving 525 may be performed, for example, via a data retrieval computer software executed by a computing device, such as the one disclosed in figure 1. Said software may be unitary or distributed with other software elements disclosed herein.

[0275] The step of calculating 530 may be performed, for example, via a calculation computer software executed by a computing device, such as the one disclosed in figure 1. Said software may be unitary or distributed with other software elements disclosed herein.

[0276] During the step of calculating 530, the calculation of the equation determined during the step of calculating 515 may be performed, with the computed measurable polarity value as a variable.

[0277] The step of providing 535 may be performed, for example, via a computer interface (either graphical or software) associated with a provision computer software executed by a computing device, such as the one disclosed in figure 1 . Said software may be unitary or distributed with other software elements disclosed herein.

[0278] As it should be noted, the present invention also aims at a computer program product, characterized in that it comprises instructions which upon execution by a computer cause the computer to execute a method such as disclosed herein.

[0279] As it should be noted, the present invention also aims at a computer-readable storage medium storing programming instructions which upon execution by a computer cause the computer to execute a method such as disclosed herein.

[0280] As it should be noted, the present invention also aims at a system 100 for providing a measurable polarity value for a materializable and / or materialized oil, said oil comprising at least one non apolar oil compound, which comprises: one or more processors; and memory storing instructions that, when executed by the one or more processors, cause the computing device to perform the steps of:

[0281] - defining, upon a computer interface, an oil mixture digital identifier, representing a materializable oil mixture, comprising a step of selecting, upon a computer interface:

[0282] - at least one non apolar oil compound digital identifiers in a database of non apolar oil compound digital identifiers, each non apolar oil compound digital identifier being representative of a materializable non apolar oil compound, to form an oil mixture digital identifier, or

[0283] - an oil mixture digital identifier, in a database of oil mixture digital identifiers, said oil mixture digital identifier being representative of a materializable and / or materialized oil comprising at least one non apolar oil compound,

[0284] - a step of computing, by a computing system, a measurable polarity value defined as a ratio between the polar and nonpolar interactions of the oil mixture digital identifier, calculated by the dividing the difference of a molar polarizability value and a retrieved molar refractivity value of the oil, said difference corresponding to a dipole moment of the oil mixture, by the molar refractivity of the oil mixture, and

[0285] - providing, upon a computer interface, the computed measurable polarity value. As it should be noted, the present invention also aims at one or more non- transitory computer-readable media storing instructions that, when executed by one or more processors, cause a computing device to perform the steps of:

[0286] - defining, upon a computer interface, an oil digital identifier, representing a materializable oil mixture, comprising a step of selecting, upon a computer interface:

[0287] - at least one non apolar oil compound digital identifiers in a database of non apolar oil compound digital identifiers, each non apolar oil compound digital identifier being representative of a materializable non apolar oil compound, or

[0288] - an oil digital identifier, in a database of oil digital identifiers, said oil digital identifier being representative of a materializable and / or materialized oil comprising at least one non apolar oil compound,

[0289] - computing, by a computing system, a measurable polarity value defined as a ratio between the polar and nonpolar interactions of the oil digital identifier, calculated by the dividing the difference of a molar polarizability value and a retrieved molar refractivity value of the oil, said difference corresponding to a dipole moment of the oil, by the molar refractivity of the oil, and

[0290] - providing, upon a computer interface, the computed measurable polarity value. Below several proofs of the operational benefits of the invention are provided. In a first proof, the capacity to measure and predict the polarity change in a mixture by providing a solvent is tested.

[0291] Different solvents are often used in combination with fragrances and flavors to change the polarity of the mixtures. This test checks whether PNPI is able to predict the change of polarity and how that is correlated to the water solubility. For this purpose, the effect of dipropylene glycol (DIPG) on the polarity of the most hydrophobic model fragrance C was studied.

[0292] The dilution of the fragrance C with DIPG led to a linear increase of the fragrance PNPI (such as shown in figure 6). The water solubility is improved linearly up to 40% of DIPG. Above this solvent concentration the solubility increases exponentially. The same result was obtained with the fragrances A and B when their versions with and without DIPG were studied.

[0293] Based on the reported correlations for solvent- and surfactant-containing formulations, the PNPI parameter can be used for prediction of solubility of oils and oil mixtures in these formulations. For each formulation oil mixture a well-determined correlation between the given specific parameter characterizing the formulation and PNPI can be obtained. This is valid for solvent-based as well as for surfactant-based formulations. Then this correlation can be used to predict the solubility of an unknown oil mixture in a given formulation.

[0294] In a second proof, the capacity to measure and predict the polarity in surfactantbased formulations is tested.

[0295] The PNPI parameter can be used also for surfactant-containing formulations.

[0296] The model fragrances, selected using the criteria to cover a large range of PNPI values (between 0.9 to 1.68, see table below), were used to validate the applicability of the polarity method. a solubilizing function and capacity, the nonionic surfactant and the negatively charged surfactants should be distinguished. Then, in a first step fragrance solubility in single nonionic surfactant solutions was studied as a simplified model. Then, a combination of the nonionic and charged surfactants was investigated.

[0297] The solubilization of the model fragrances by the nonionic surfactant Neodol 91 - 8 in aqueous solutions was performed following the protocol described below.

[0298] Water and fragrance were mixed in the required proportions in each sample. Then, Neodol 91 -8 was added by titration under continuous stirring until complete solubilization of the fragrance, i.e. transparent solution. The concentrations of water, fragrance and Neodol 91 -8 was recalculated for each sample. The surfactant to fragrance ratio was determined and presented on Fig.7A as function of the measured PNPI of the fragrance. Two different fragrance concentrations were studied: 0.9%wt and 3.5%wt. The analytical relation between the surfactant-to-fragrance ratio and PNPI is well fitted with a power law equation: Y = Ax_B, for both surfactant concentrations with a good precision: R2 = 0.93-0.95.

[0299] The methodology used for the experiments with Neodol 91 -8 was applied for the solubilization capacity of the surfactant mixture composed of Bio-Soft® D-40 (Stepan), Texapon® N70 (BASF) and Neodol® 91-8 (Shell Global).

[0300] This surfactant mixture is called SURF MIX, and the oil mixture is reported in the table below.

[0301] Then, water and fragrance were mixed in the required ratio and SURF MIX was added by titration to each sample under continuous stirring until the complete solubilization of the fragrance (transparent solution). The concentration of water, fragrance and SURF MIX were recalculated, and the ratios SURF MIX / Fragrance were obtained.

[0302] The dependence of the surfactant mix to fragrance ratios relative to PNPI of the model fragrances is presented in figure 7B. The data were fitted by a power law equation, as was explained above. The correlation between SURF MIX / FR ratios and PNPI is very good.

[0303] Figure 8 represents a flowchart representative of a particular embodiment of a method object of present invention. This method 800 for providing a materializable oil mixture digital identifier, comprises:

[0304] - a step of inputting 805, upon a computer interface, a target measurable polarity value,

[0305] - a step of defining 810, by a computing system, a materializable oil mixture digital identifier, comprising a step of selecting 815 at least one non apolar oil compound digital identifier as a function of a measurable polarity value, for said non apolar oil compound, obtained from executing a method according to an embodiment of the present invention, and the input measurable polarity value, and

[0306] - a step of providing 820, upon a computer interface, the defined materializable oil mixture digital identifier.

[0307] During the step of inputting 805, a user or automated system inputs a target measurable polarity value. Such a value is a numerical value.

[0308] The step of defining 810 may be performed, for example, via a calculation computer software executed by a computing device, such as the one disclosed in figure 1. Said software may be unitary or distributed with other software elements disclosed herein.

[0309] During the step of defining 810, an algorithm may be used to select at least one oil digital identifier according to at least one selection rule. Such a selection rule may be:

[0310] - the measurable polarity value associated with the non apolar oil compound must be lower or higher than the input measurable polarity value,

[0311] - the average measurable polarity value of all selected non apolar oil compounds must be lower or higher than the measurable polarity value, and / or - the weighted average, as a function of relative quantity of said non apolar oil compounds of the measurable polarity value of all selected non apolar oil compounds must be lower or higher than the measurable polarity value.

[0312] During the step of providing 820, the oil mixture may be displayed on a graphic user interface of sent to another technical system.

[0313] In other embodiments, a user may, after the step of defining 810 or after any oil mixture has been defined in other embodiments of the present invention, lock at least one but not all selected oil digital identifier and request a definition recomputing. During this definition recomputing, other oil digital identifiers are selected, provided these non apolar oil compounds digital identifiers are not included in previously selected digital identifiers or in the locked oil digital identifiers.

[0314] It should be understood that any value or digital identifier produced by a method object of the present invention can be provided to a further technical system, in which said value or digital identifier is used in order to achieve a technical effect.

Claims

CLAIMS1. Method (300) for providing a measurable polarity value for a materializable and / or materialized oil mixture, said oil mixture comprising at least one non apolar oil compound, characterized in that it comprises:- a step of defining (305), upon a computer interface, an oil mixture digital identifier, representing a materializable oil mixture, comprising a step of selecting (310), upon a computer interface:- at least one non apolar oil compound digital identifiers in a database of non apolar oil compound digital identifiers, each non apolar oil compound digital identifier being representative of a materializable non apolar oil compound, to form an oil mixture digital identifier, or- an oil mixture digital identifier, in a database of oil mixture digital identifiers, said oil mixture digital identifier being representative of a materializable and / or materialized oil mixture comprising at least one non apolar oil compound,- a step of computing (320), by a computing system, a measurable polarity value defined as a ratio between the polar and nonpolar interactions of the oil mixture digital identifier, calculated by the dividing the difference of a molar polarizability value and a retrieved molar refractivity value of the oil mixture, said difference corresponding to a dipole moment of the oil mixture, by the molar refractivity of the oil mixture, and- a step of providing (325), upon a computer interface, the computed measurable polarity value.

2. Method (300) according to claim 1 , which comprises, prior to the step of computing (320), a step of retrieving (330), from a database of measured oil parameter values, a value representative of the relative permittivity of the oil and a value representative of the refractive index of the oil, wherein the measurable polarity value is computed by the following equation:42wherein:- PNPI designates the measurable polarity value,- E represents the relative permittivity of the oil, and- n represents the refractive index of the oil.

3. Method (300) according to any one of claims 1 or 2, which further comprises:- a step of calculating (335), by a computing system, a measurable molar refractivity value, called “Rm”, for the oil computed by the following equation:> (n2- 1) MW Rm =(n2+ 2) p wherein:- MW represents the molecular weight of the oil,- p represents the density of the oil.- a step of calculating (340), by a computing system, a measurable molar polarizability value, called “Pm”, for the oil computed by the following equation:_ (E - 1) W Pm~ (TTzj4. Method (300) according to any one of claims 1 to 3, which comprises a step of constituting (345) the database of measured oil parameter values, comprising:- a step of empirically measuring (350) a value representative of a molar polarizability of an oil comprising at least one non apolar oil compound,- a step of empirically measuring (355) a value representative of a measured molar refractivity of an oil comprising at least one non apolar oil compound and- a step of storing (360), in the database, the measured the value representative of a molar polarizability of the oil and the measured molar refractivity of the oil, said values being stored in relation to an oil digital identifier or to a selection of at least one non apolar oil compound digital identifiers.

5. Method (300) according to claim 4, which comprises a step (365) of solubilizing a solid oil prior to a step of empirically measuring.

6. Method (400) for providing a measurable polarity value for a materializable and / or materialized oil mixture, characterized in that it comprises:43- a step of defining (405), upon a computer interface, an oil mixture digital identifier, representing a materializable oil mixture comprising, comprising a step of selecting (410), upon a computer interface, at least one compound oil digital identifiers in a database of oil digital identifiers, each non apolar oil compound digital identifier being representative of a materializable non apolar oil compound,- a step of inputting (415), upon a computer interface, a relative quantity of each non apolar oil compound digital identifiers selected,- a step of retrieving (420), via a computer interface, for each non apolar oil compound digital identifiers selected, a computed measurable polarity value according to any one of claims 1 to 5,- a step of determining (425), by a computing system, an oil mixture polarity value corresponding to the weighted sum of the computed measurable polarity value of the selected non apolar oil compound digital identifiers selected, wherein the weights correspond to the input relative quantity of each non apolar oil compound digital identifiers selected, and- a step of providing (430), upon a computer interface, the determined measurable oil mixture polarity value.

7. Method (400) according to claim 6, which further comprises a step of sending (435), upon a computer interface, a digital command representative of an instruction of materialising at least one oil corresponding to at least one oil digital identifier defined.

8. Method (400) according to claim 7, which further comprises a step of materialising (440) at least one oil corresponding to at least one oil digital identifier defined.

9. Method (500) for providing a measurable value for a physicochemical parameter of a materializable and / or materialized oil, said value being dependent on the polarity, characterized in that it comprises:- a step of empirically measuring (505) a value for a physicochemical parameter of a materialized oil associated with an oil digital identifier,- a step of retrieving (510), via a computer interface, for said oil digital identifiers, a computed measurable polarity value according to any one of claims 1 to 5,44- a step of determining (515), by a computing a system, equation parameters for a standardized equation associating the empirically measured value to the retrieved computed measurable polarity value,- a step of selecting (520), upon a computer interface, an oil digital identifier in a database of oil digital identifiers,- a step of retrieving (525), via a computer interface, for said selected oil digital identifiers, a computed measurable polarity value according to any one of claims 1 to 5,- a step of calculating (530), by a computing a system, based on the determined equation parameters, a value for a physicochemical parameter for said selected oil digital identifier, and- a step of providing (535), upon a computer interface, the calculated value.

10. Method (800) for providing a materializable oil mixture digital identifier, characterized in that it comprises:- a step of inputting (805), upon a computer interface, a target measurable polarity value,- a step of defining (810), by a computing system, a materializable oil mixture digital identifier, comprising a step of selecting (815) at least one oil digital identifier as a function of a measurable polarity value, for said oil, obtained from executing a method according to any one of claims 1 to 5, and the input measurable polarity value, and- a step of providing (820), upon a computer interface, the defined materializable oil mixture digital identifier.

11. Computer program product, characterized in that it comprises instructions which upon execution by a computer cause the computer to execute the method according to any one of claims 1 to 10.

12. Computer-readable storage medium storing programming instructions which upon execution by a computer cause the computer to execute the method according to any one of claims 1 to 10.

13. System (100) for providing a measurable polarity value for a materializable and / or materialized oil, said oil comprising at least one non apolar oil compound, characterized in that it comprises: one or more processors; and memory storing instructions that, when executed by the one or more processors, cause the computing device to perform the steps of:- defining, upon a computer interface, an oil mixture digital identifier, representing a materializable oil mixture, comprising a step of selecting, upon a computer interface:- at least one non apolar oil compound digital identifiers in a database of non apolar oil compound digital identifiers, each non apolar oil compound digital identifier being representative of a materializable non apolar oil compound, to form an oil mixture digital identifier, or- an oil mixture digital identifier, in a database of oil mixture digital identifiers, said oil mixture digital identifier being representative of a materializable and / or materialized oil comprising at least one non apolar oil compound,- a step of computing, by a computing system, a measurable polarity value defined as a ratio between the polar and nonpolar interactions of the oil mixture digital identifier, calculated by the dividing the difference of a molar polarizability value and a retrieved molar refractivity value of the oil, said difference corresponding to a dipole moment of the oil mixture, by the molar refractivity of the oil mixture, and- providing, upon a computer interface, the computed measurable polarity value.

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