Design method, system and device for heating cigarette leaf group formula

Abstract

The embodiment of the invention provides a design method, system and device for a heating cigarette leaf group formula, and relates to the technical field of novel tobacco products. Comprising the following steps: constructing a nicotine release amount curved surface prediction equation of heated cigarette tobacco; carrying out dimension reduction treatment on the curved surface prediction equation according to the total plant alkaloid content of the heated cigarette tobacco to obtain a curve prediction equation about the nicotine release amount and the glycerin content; acquiring a nicotine release amount average value and a variation coefficient of the heated cigarette tobacco; and designing a leaf group formula according to a preset nicotine release amount target value of the heated cigarette product, the nicotine release amount average value and the coefficient of variation, and obtaining the optimal use proportion of the tobacco in the leaf group formula. According to the method, accurate prediction and efficient calculation of release characteristics of different tobacco raw materials are realized by establishing a non-linear curved surface prediction model of the nicotine release amount and performing dimension reduction treatment, and the optimal use proportion of tobacco in a tobacco formula is obtained by taking the average value and the variable coefficient of the nicotine release amount as optimization indexes.

Description

Technical Field

[0001] This invention relates to the field of novel tobacco product technology, and more specifically to a design method, system, and apparatus for a heated cigarette leaf formulation. Background Technology

[0002] As a novel tobacco product, heated cigarettes directly impact consumers' smoking experience and product acceptance due to their nicotine release characteristics. Existing technologies often employ linear regression methods, which struggle to accurately characterize the non-linear relationship between nicotine release and glycerol and total alkaloid content. This leads to significant ambiguity in formulation design, focusing solely on controlling total nicotine release while neglecting the stability of the release process. In actual production, batch-to-batch coefficients of variation generally exceed 10%, making it difficult to simultaneously address the synergistic optimization needs of varying glycerol contents (0-15%) and multiple tobacco raw materials (≥2 types), resulting in lengthy development cycles for individual formulations. Summary of the Invention

[0003] The purpose of this invention is to provide a design method, system, and apparatus for heated tobacco leaf blend formulations. This invention achieves scientific and quantitative design of heated tobacco leaf blend formulations, significantly reducing R&D costs while improving product quality consistency. It has significant industrial application value, enabling precise modeling and efficient calculation of the release characteristics of different tobacco raw materials, minimizing fluctuations while meeting target release levels, and significantly improving the smoking stability and quality consistency of heated tobacco products.

[0004] To achieve the above objectives, one embodiment of the present invention provides a method for designing a heated tobacco leaf formulation, the method comprising: Construct a surface-based prediction equation for nicotine release from heated cigarette tobacco; The surface prediction equation is reduced in dimension based on the total alkaloid content of heated cigarette tobacco to obtain a curve prediction equation for nicotine release with respect to glycerol content. To obtain the average nicotine release and coefficient of variation of heated cigarette tobacco; Based on the preset target value of nicotine release from heated cigarette products and the average value and coefficient of variation of nicotine release, the leaf blend formula is designed to obtain the optimal proportion of tobacco used in the leaf blend formula.

[0005] Optionally, a surface prediction equation for nicotine release from heated cigarette tobacco is constructed, including: The surface prediction equation is constructed according to formula (1). (1) in, This is a predicted value for nicotine emissions from flue gas. This refers to the glycerol content. This refers to the total alkaloid content of plants. These are the fitting parameters.

[0006] Optionally, the surface prediction equation is reduced in dimensionality based on the total alkaloid content of heated cigarette tobacco to obtain a curve prediction equation for nicotine release as a function of glycerol content, including: The curve prediction equation is constructed according to formula (2). (2) in, This is a predicted value for nicotine emissions from flue gas. The target is the total alkaloid content of tobacco.

[0007] Optionally, the average nicotine release and coefficient of variation of heated cigarette tobacco are obtained, including: The average nicotine release rate is obtained according to formula (3). (3) in, This represents the average nicotine release. The design value for the glycerol content of heated cigarette products.

[0008] Optionally, the average nicotine release and coefficient of variation of heated cigarette tobacco are obtained, including: The coefficient of variation is obtained according to formula (4). (4) in, This represents the coefficient of variation for nicotine release from tobacco. For the first Predicted values ​​for nicotine release from tobacco plants. The number of equally spaced data points to generate.

[0009] Optionally, the leaf blend formulation is designed based on the preset target value of nicotine release from heated cigarette products and the average value and coefficient of variation of the nicotine release, to obtain the optimal proportion of tobacco used in the leaf blend formulation, including: According to formula (5), the minimum nicotine release variation coefficient that satisfies the target value of nicotine release in heated cigarette products is obtained. (5) in, This is the preset target value for nicotine release from heated cigarette products.

[0010] On the other hand, the present invention also provides a design system for heated tobacco leaf formulations, the design system including a processor for executing the design methods as described above.

[0011] In another aspect, the present invention also provides a design apparatus for heating cigarette leaf formulations, comprising an apparatus body and an execution module, the execution module being used to execute the design method as described in any of the above.

[0012] Through the above technical solution, this invention provides a method, system, and apparatus for designing heated cigarette leaf blend formulations. By constructing a surface prediction equation for nicotine release from heated cigarette tobacco, and then reducing the dimensionality of this equation based on the total alkaloid content of the heated cigarette tobacco, a curve prediction equation for nicotine release with respect to glycerol content is obtained. The average value and coefficient of variation of nicotine release from heated cigarette tobacco are then obtained. Based on the preset target value of nicotine release for heated cigarette products and the average value and coefficient of variation of nicotine release, a leaf blend formulation is designed to obtain the optimal proportion of tobacco used in the leaf blend formulation. This method, system, and apparatus achieve scientific and quantitative design of heated cigarette leaf blend formulations, significantly reducing R&D costs while improving product quality consistency, and has significant industrial application value. By establishing a nonlinear surface prediction equation for nicotine release and employing dimensionality reduction, accurate modeling and efficient calculation of the release characteristics of different tobacco raw materials are achieved. The average value of nicotine release is calculated based on the integral method, and the coefficient of variation is used as an optimization index to minimize fluctuations while meeting the target release amount, significantly improving the smoking stability and quality consistency of heated cigarette products. It can be adapted to the combination and optimization of two or more tobacco raw materials, flexibly meeting the needs of different products. The optimized formula maintains high stability within the glycerol range, enabling products to accurately meet the requirements of specific markets or regulations regarding nicotine release, significantly improving R&D efficiency and production adaptability.

[0013] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0014] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of a design method for a heated tobacco leaf pack formulation according to one embodiment of the present invention; Figure 2 This is a flowchart illustrating the process of obtaining the average value and coefficient of variation of nicotine release according to one embodiment of the present invention. Figure 3 This is a nicotine release curve of the optimal leaf group formulation of tobacco A and B when the designed value of glycerol content of heated cigarette products is 12% and the designed value of nicotine release is 0.63% in Example 1 of an embodiment of the present invention. Figure 4This is a nicotine release curve of the optimal leaf group formulation of tobacco C, D, and E when the designed value of glycerol content in the heated cigarette product is 15% and the designed value of nicotine release is 0.65%, according to Example 2 of an embodiment of the present invention. Figure 5 This is a nicotine release curve of the optimal tobacco leaf blend formula (F, G, H, I) when the designed glycerol content of the heated cigarette product is 15% and the designed nicotine release is 0.61%, according to Example 3 of one embodiment of the present invention. Detailed Implementation

[0015] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the scope of the present invention.

[0016] In the embodiments of this application, certain software, components, models and other existing solutions in the industry may be mentioned. These should be regarded as exemplary and are only intended to illustrate the feasibility of implementing the technical solution of this application. However, they do not mean that the applicant has used or necessarily used the solution.

[0017] like Figure 1 The diagram shown is a flowchart of a method for designing a heated tobacco leaf formulation according to one embodiment of the present invention. Figure 1 In this context, the design method may include: In step S1, a surface prediction equation for nicotine release from heated cigarette tobacco is constructed; In step S2, the surface prediction equation is reduced in dimension based on the total alkaloid content of heated cigarette tobacco to obtain the curve prediction equation of nicotine release with respect to glycerol content. In step S3, the average value and coefficient of variation of nicotine release from heated cigarette tobacco are obtained; In step S4, the leaf blend formula is designed based on the preset target value of nicotine release from heated cigarette products, the average value of nicotine release, and the coefficient of variation, so as to obtain the optimal proportion of tobacco used in the leaf blend formula.

[0018] In Figure 1 In the method shown, step S1 can be used to construct a surface prediction equation for nicotine release from heated cigarette tobacco. The specific method for constructing this surface prediction equation can be various methods known to those skilled in the art. In one example of the present invention, the surface prediction equation for nicotine release from heated cigarette tobacco can be constructed according to formula (1). (1) in, This is a predicted value for nicotine emissions from flue gas. This refers to the glycerol content. This refers to the total alkaloid content of plants. These are the fitting parameters.

[0019] Step S2 can be used to reduce the dimensionality of the surface prediction equation based on the total alkaloid content of heated cigarette tobacco, and obtain the curve prediction equation of nicotine release with respect to glycerol content. The specific method for obtaining the curve prediction equation of nicotine release with respect to glycerol content can be various methods known to those skilled in the art. In one example of the present invention, the curve prediction equation of nicotine release with respect to glycerol content can be obtained by constructing the curve prediction equation according to formula (2). (2) in, This is a predicted value for nicotine emissions from flue gas. The target is the total alkaloid content of tobacco.

[0020] Step S3 can be used to obtain the average nicotine release and coefficient of variation of heated cigarette tobacco. Step S3 may include, for example: Figure 2 The method shown. In this Figure 2 In this context, step S3 may further include the following steps: In step S11, the average nicotine release rate is obtained according to formula (3). (3) in, This represents the average nicotine release. The design value for the glycerol content of heated cigarette products.

[0021] In step S12, the coefficient of variation is obtained according to formula (4). (4) in, This represents the coefficient of variation for nicotine release from tobacco. For the first Predicted values ​​for nicotine release from tobacco plants. The number of equally spaced data points to generate.

[0022] Step S4 can be used to design the leaf blend formula based on the preset target value of nicotine release for heated cigarette products, the average value of nicotine release, and the coefficient of variation, to obtain the optimal proportion of tobacco used in the leaf blend formula. The specific method for designing the leaf blend formula can be one of several known to those skilled in the art. In one example of the present invention, the minimum coefficient of variation of nicotine release that satisfies the target value of nicotine release for heated cigarette products can be obtained according to formula (5). (5) in, This is the preset target value for nicotine release from heated cigarette products.

[0023] Under the condition that the average nicotine release of the leaf group formula is greater than the target value of nicotine release of heated cigarette products, the optimal value of the proportion of each tobacco in the formula with the lowest coefficient of variation of nicotine release of the leaf group formula is obtained according to formula (4) so ​​as to obtain the optimal proportion of tobacco in the leaf group formula.

[0024] In one embodiment 1 of this invention, two types of tobacco leaves, A and B, were selected to design a heated cigarette leaf formulation. The total alkaloid content of the tobacco leaves was determined using the "Determination of Total Alkaloids in Tobacco and Tobacco Products - Continuous Flow Method" (GB / T 23356-2022). Subsequently, glycerol in a 0-15% gradient was added to the tobacco leaves, and the nicotine release from the smoke was analyzed using gas chromatography-mass spectrometry. Surface prediction equations for the nicotine release from the smoke of the two types of tobacco leaves were established respectively. , , in, This represents the predicted nicotine release from tobacco leaf raw material A. The predicted value for nicotine release from tobacco leaf raw material B.

[0025] The total alkaloid content of tobacco raw materials A and B is 3.1935% and 1.838%, respectively. Based on the total alkaloid content, the dimensionality of the surface prediction equation for nicotine release from tobacco raw materials A and B is reduced to obtain the curve prediction equations for nicotine release from tobacco raw materials A and B: , , in, This represents the predicted nicotine release from tobacco leaf raw material A. The predicted value for nicotine release from tobacco leaf raw material B.

[0026] Let the proportion of tobacco raw material A used in the formula be... The proportion of tobacco raw material B used in the formula is as follows: Calculate the average nicotine release of leaf blends composed of tobacco leaves A and B, within a glycerol content range of 0-12%. , Calculate the coefficient of variation of nicotine release in leaf blends composed of tobacco raw materials A and B within the glycerol content range of 0-12%. , The target value for nicotine release from heated cigarette products is set at 0.63%. This requires that the average nicotine release from the leaf blend formulation be greater than the target value while minimizing the coefficient of variation in nicotine release. , Through optimized calculations, when the proportions of tobacco raw materials A and B in the leaf blend formulation are 0.41 and 0.59 respectively, the average nicotine release of the leaf blend formulation is 0.631%, and the coefficient of variation is 4.5804%. At this point, the nicotine release and stability of the leaf blend formulation are optimal. Figure 3 As shown, designing and producing the leaf blend formula using the above optimized proportions can significantly improve the stability of smoke release in heated cigarette products and meet the requirements for product quality consistency.

[0027] like Figure 4 As shown, in one embodiment 2 of the present invention, three tobacco raw materials, C, D, and E, were selected to design the heated cigarette leaf blend formula. Through optimization calculations, when the proportions of tobacco raw materials C, D, and E in the leaf blend formula were 0.56, 0.05, and 0.39, respectively, the average nicotine release of the leaf blend formula was 0.6501%, and the coefficient of variation was 6.3074%. At this point, the nicotine release and stability of the leaf blend formula reached their optimal levels. Designing and producing the leaf blend formula using the above optimized proportions can significantly improve the stability of smoke release from heated cigarette products and meet the requirements for product quality consistency.

[0028] like Figure 5 As shown, in one embodiment 3 of the present invention, four tobacco raw materials, F, G, H, and I, were selected to design the heated cigarette leaf blend formula. Through optimization calculations, when the proportions of tobacco raw materials F, G, H, and I in the leaf blend formula were 0.24, 0.02, 0.73, and 0.01, respectively, the average nicotine release of the leaf blend formula was 0.61001%, and the coefficient of variation was 6.2121%. At this point, the nicotine release and stability of the leaf blend formula reached their optimal levels. Designing and producing the leaf blend formula using the above optimized proportions can significantly improve the stability of smoke release from heated cigarette products and meet the requirements for product quality consistency.

[0029] On the other hand, the present invention also provides a design system for heated tobacco leaf formulations, the design system including a processor for executing the design methods as described above.

[0030] In another aspect, the present invention also provides a design apparatus for heating cigarette leaf formulations, comprising an apparatus body and an execution module, the execution module being used to execute the design method as described in any of the above.

[0031] Through the above technical solution, this invention provides a method, system, and apparatus for designing heated cigarette leaf blend formulations. By constructing a surface prediction equation for nicotine release from heated cigarette tobacco, and then reducing the dimensionality of this equation based on the total alkaloid content of the heated cigarette tobacco, a curve prediction equation for nicotine release with respect to glycerol content is obtained. The average value and coefficient of variation of nicotine release from heated cigarette tobacco are then obtained. Based on the preset target value of nicotine release for heated cigarette products and the average value and coefficient of variation of nicotine release, a leaf blend formulation is designed to obtain the optimal proportion of tobacco used in the leaf blend formulation. This method, system, and apparatus achieve scientific and quantitative design of heated cigarette leaf blend formulations, significantly reducing R&D costs while improving product quality consistency, and has significant industrial application value. By establishing a nonlinear surface prediction equation for nicotine release and employing dimensionality reduction, accurate modeling and efficient calculation of the release characteristics of different tobacco raw materials are achieved. The average value of nicotine release is calculated based on the integral method, and the coefficient of variation is used as an optimization index to minimize fluctuations while meeting the target release amount, significantly improving the smoking stability and quality consistency of heated cigarette products. It can be adapted to the combination and optimization of two or more tobacco raw materials, flexibly meeting the needs of different products. The optimized formula maintains high stability within the glycerol range, enabling products to accurately meet the requirements of specific markets or regulations regarding nicotine release, significantly improving R&D efficiency and production adaptability.

[0032] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0033] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0034] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0035] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0036] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0037] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0038] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0039] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0040] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for designing a heated tobacco leaf formulation, characterized in that, The design method includes: Construct a surface-based prediction equation for nicotine release from heated cigarette tobacco; The surface prediction equation is reduced in dimension based on the total alkaloid content of heated cigarette tobacco to obtain a curve prediction equation for nicotine release with respect to glycerol content. To obtain the average nicotine release and coefficient of variation of heated cigarette tobacco; Based on the preset target value of nicotine release from heated cigarette products and the average value and coefficient of variation of nicotine release, the leaf blend formula is designed to obtain the optimal proportion of tobacco used in the leaf blend formula.

2. The design method according to claim 1, characterized in that, A surface-based prediction equation for nicotine release from heated cigarette tobacco was constructed, including: The surface prediction equation is constructed according to formula (1). ，（1） in, This is a predicted value for nicotine emissions from flue gas. This refers to the glycerol content. This refers to the total alkaloid content of plants. These are the fitting parameters.

3. The design method according to claim 2, characterized in that, The surface prediction equation is reduced in dimensionality based on the total alkaloid content of heated cigarette tobacco to obtain a curve prediction equation for nicotine release as a function of glycerol content, including: The curve prediction equation is constructed according to formula (2). ，（2） in, This is a predicted value for nicotine emissions from flue gas. The target is the total alkaloid content of tobacco.

4. The design method according to claim 3, characterized in that, To obtain the average nicotine release and coefficient of variation of heated cigarette tobacco, including: The average nicotine release rate is obtained according to formula (3). ，（3） in, This represents the average nicotine release. The design value for the glycerol content of heated cigarette products.

5. The design method according to claim 4, characterized in that, To obtain the average nicotine release and coefficient of variation of heated cigarette tobacco, including: The coefficient of variation is obtained according to formula (4). ，（4） in, This represents the coefficient of variation for nicotine release from tobacco. For the first Predicted values ​​for nicotine release from tobacco plants. The number of equally spaced data points to generate.

6. The design method according to claim 5, characterized in that, Based on the preset target value of nicotine release from heated cigarette products and the average value and coefficient of variation of nicotine release, the leaf blend formulation is designed to obtain the optimal proportion of tobacco used in the leaf blend formulation, including: According to formula (5), the minimum nicotine release variation coefficient that satisfies the target value of nicotine release in heated cigarette products is obtained. ，（5） in, This is the preset target value for nicotine release from heated cigarette products.

7. A design system for a heated tobacco leaf blend formulation, characterized in that, The design system includes a processor for executing the design method as described in any one of claims 1 to 6.

8. A design device for heating cigarette leaf batch formulation, characterized in that, It includes a device body and an execution module, the execution module being used to execute the design method as described in any one of claims 1-6.

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