Heated cigarette leaf group formula maintenance method based on release amount of neutral aroma components and application of heated cigarette leaf group formula maintenance method

Abstract

The invention provides a heated cigarette leaf group formula maintenance method based on the release amount of neutral aroma components and application thereof, and the method comprises the following steps: selecting similar substitute tobacco leaves, adding glycerol with gradient concentration, detecting the content of sugar nitrogen substances and the release amount of the neutral aroma components, and establishing a curved surface prediction equation; performing dimension reduction processing on the curved surface prediction equation to obtain a curve prediction equation; establishing a neutral aroma component release curve prediction equation; the DTW distance is calculated, the optimal proportion of the tobacco leaf modules for replacement is solved, and maintenance is achieved. According to the method, the nonlinear prediction model of the glycerol content and the geometric mean value of the sugar nitrogen to the release amount of the neutral aroma components is established, the aroma release curve difference is accurately quantified, and the optimal ratio is solved by utilizing an optimization algorithm, so that the problems that a traditional formula maintenance method depends on experience and is insufficient in precision are solved; the sensory quality of a heated cigarette product is stably controlled under the condition of fluctuation of raw materials, and meanwhile, the scientificity and efficiency of formula maintenance are improved.

Description

Technical Field

[0001] This invention belongs to the field of heated cigarette technology, specifically relating to a method for maintaining heated cigarette leaf blend formulations based on the release of neutral aroma components and its application. Background Technology

[0002] The sensory quality of heated cigarettes is highly dependent on the tobacco blend formulation. However, fluctuations in the supply of raw tobacco leaves (such as differences in origin and year) often lead to changes in the content of key components (glycerol, sugar, nitrogen, etc.), which in turn affects the release behavior of neutral aroma components. Traditional formulation maintenance methods rely heavily on manual experience or simple physicochemical index matching, making it difficult to quantify the non-linear impact of substitute tobacco leaves on the aroma release curve, which can easily lead to unstable sensory quality of the product.

[0003] Neutral aroma components (such as aldehydes, ketones, and alcohols) are the core substances determining the sensory characteristics of heated cigarettes, directly affecting the richness, harmony, and smoking satisfaction of the product. Unlike traditional cigarettes, heated cigarettes experience a significant reduction in the release of aroma components due to their low-temperature heating characteristics, making the precise control of neutral aroma components particularly crucial. These components not only contribute to basic aromas such as floral, fruity, and sweet notes but also synergize with nicotine to influence the consumer's sensory experience, serving as an important indicator for maintaining product style stability. Current methods (such as sensory evaluation or linear regression models) cannot accurately predict the release trends of neutral aroma components at different glycerol contents, especially lacking the ability to optimize dynamic release curves. This also prevents existing methods from conducting analysis from a more scientific and precise perspective, resulting in the absence of a scientifically sound method for maintaining cigarette blend formulations. Therefore, providing a method to maintain heated cigarette blend formulations has become an urgent problem to be solved. Summary of the Invention

[0004] To address the shortcomings of existing technologies, the present invention aims to provide a method for maintaining the formulation of heated tobacco leaves based on the release of neutral aroma components, and its application. This invention establishes a nonlinear prediction model of the release of neutral aroma components based on the geometric mean of glycerol content and sugar nitrogen, combines this with a dynamic time warping (DTW) algorithm to accurately quantify the difference in aroma release curves between substitute and target tobacco leaves, and utilizes an optimization algorithm to solve for the optimal ratio. This solves the problems of traditional formulation maintenance methods relying on experience and lacking precision, achieving stable control of the sensory quality of heated tobacco products under raw material fluctuations, while simultaneously improving the scientific nature and efficiency of formulation maintenance.

[0005] To achieve this objective, the present invention adopts the following technical solution:

[0006] On one hand, the present invention provides a method for maintaining the formulation of heated tobacco leaf packs based on the release of neutral aroma components, the method comprising the following steps:

[0007] S1. Based on the basic information of the tobacco leaves to be maintained in the formula of the heated tobacco leaf group to be maintained, select a substitute tobacco leaf that is similar to it, and detect the sugar and nitrogen content of the tobacco leaves to be maintained and the substitute tobacco leaf; add glycerol of gradient concentration to the tobacco leaves to be maintained and the substitute tobacco leaf, detect the release of neutral aroma components, and then establish a surface prediction equation for the release of neutral aroma components of the tobacco leaves to be maintained and the substitute tobacco leaf with glycerol content and the geometric mean of sugar and nitrogen as independent variables and the release of neutral aroma components as dependent variable;

[0008] S2. Based on the geometric mean of sugar and nitrogen in the tobacco leaves to be maintained and the substitute tobacco leaves, the surface prediction equation in step S1 is reduced in dimension to obtain the curve prediction equation for the release of neutral aroma components in the tobacco leaves to be maintained and the substitute tobacco leaves.

[0009] S3. Combine the tobacco leaves to be maintained into tobacco leaf modules and establish a prediction equation for the release curve of neutral aroma components of the tobacco leaf modules; combine the substitute tobacco leaves into substitute tobacco leaf modules and establish a prediction equation for the release curve of neutral aroma components of the substitute tobacco leaf modules.

[0010] S4. Based on the prediction equation of the neutral aroma component release curves of the tobacco leaf module to be maintained and the substitute tobacco leaf module, calculate the DTW distance between the two, find the optimal ratio of the substitute tobacco leaf module, and realize the maintenance of the leaf group formula of the heated cigarette product.

[0011] The above method establishes a nonlinear prediction model of the release of neutral aroma components by the geometric mean of glycerol content and sugar nitrogen, combines the dynamic time warping algorithm (DTW) to accurately quantify the difference in aroma release curves between substitute tobacco leaves and target tobacco leaves, and uses an optimization algorithm to solve the optimal ratio. This solves the problem of traditional formula maintenance methods relying on experience and lacking precision, and achieves stable control of the sensory quality of heated cigarette products under raw material fluctuations, while improving the scientific nature and efficiency of formula maintenance.

[0012] Preferably, the basic information in step S1 includes any one or a combination of at least two of the following: tobacco leaf type, variety, origin, part, grade structure, nicotine content, reducing sugar content, or sensory evaluation quality.

[0013] Preferably, the substitute tobacco leaves and the tobacco leaves to be maintained have the same type, variety, and origin.

[0014] Preferably, the sugar-nitrogen content in step S1 includes total sugar content and total nitrogen content.

[0015] Preferably, the neutral fragrance component in step S1 includes furfural, furfuryl alcohol, methylcyclopentenolone, 2-acetylfuran, 2,5-hexanedione, 2-cyclohexen-1-one, and 5-methyl- 2(5H)-furanone, 5-methylfurfural, methyl 2-furoate, 3-methyl-2(5H)-furanone, 1,2-dimethylcyclohexene, 2,5-dihydro-3,5-dimethyl-2-furanone, benzyl alcohol, 2,3-dimethyl-2-cyclopentenone, 4-methyl-2(H)-furanone, allyl methacrylate, 3-methyl-2-cyclohexen-1-one, 3-vinyl-cyclohexanone, 1-(2-methyl-1-cyclopentenyl)ethyl ketone, acetophenone, 2-methylbenzaldehyde, 2-methylbenzofuran, phenethyl alcohol, carvone oxide, solanone, 1-pentadene, mesostachitenone A, mesostachitenone B, 9-hydroxy-4,7-mesostachitenone Dien-3-one, 4-(3-hydroxybutyl)-3,5,5-trimethyl-2-cyclohexen-1-one, (+)-hesperene, spirovesperidone, neophytediene, methyl palmitate, farnesol, ethyl palmitate, methyl stearate, ethyl linoleate, ethyl linolenic acid, (1S,2E,4R,7E,11E)-2,7,11-cebertrien-4-ol, geranylgeraniol, 3-methyl-2-cyclopenten-1-one, 5-hydroxymethylfurfural, p-methylacetophenone, 3-ethyl-2-cyclopenten-1-one, benzyl alcohol, d-limonene, cyclohexen-1,4-dione, or di-n-butyl phthalate, or any one or a combination of at least two of these.

[0016] Preferably, the formula for calculating the geometric mean of sugar nitrogen in step S1 is as follows:

[0017] ;

[0018] In the formula, y is the geometric mean of sugar and nitrogen, TS is the total sugar content, and TN is the total nitrogen content.

[0019] The method of this invention can effectively improve the accuracy of prediction by using a specific formula to calculate the geometric mean of sugar nitrogen and using it to construct equations.

[0020] Preferably, the surface prediction equation in step S1 is as follows:

[0021] ;

[0022] In the formula, k1-k 14 The fitting parameters are: x is the glycerol content, y is the geometric mean of sugar and nitrogen, and z(x,y) is the amount of neutral aroma components released.

[0023] Preferably, the curve prediction equation in step S2 is as follows:

[0024] ;

[0025] In the formula, k1-k 14 The fitting parameters are: x is the glycerol content, and w is the geometric mean of sugar and nitrogen in a specific tobacco leaf.

[0026] Preferably, the prediction equation for the neutral aroma component release curve of the tobacco leaf module to be maintained in step S3 is as follows:

[0027] ;

[0028] In the formula, p i u represents the proportion of the i-th type of tobacco leaf requiring maintenance. i (x) is the curve prediction equation for the release of neutral aroma components of the i-th type of tobacco leaf to be maintained.

[0029] Preferably, the prediction equation for the neutral aroma component release curve of the substitute tobacco module in step S3 is as follows:

[0030] ;

[0031] In the formula, q i v represents the proportion of the i-th type of substitute tobacco used. i (x) is the curve prediction equation for the release of neutral aroma components of the i-th substitute tobacco leaf.

[0032] Preferably, the formula for calculating the minimum value of the DTW distance in step S4 is as follows:

[0033] ;

[0034] In the formula, U and V represent the prediction equations for the release curves of neutral aroma components of the tobacco leaf module to be maintained and the substitute tobacco leaf module, respectively; π represents the optimal alignment path between the two curves, which consists of two mapping functions π1(t) and π2(t); π1(t) represents the index of the corresponding point of curve U at step t under path π; π2(t) represents the index of the corresponding point of curve V at step t under path π; U[π1(t)] represents the release value of curve U at position π1(t); V[π2(t)] represents the release value of curve V at position π2(t).

[0035] Preferably, the optimal ratio of the substitute tobacco leaf module in step S4 is the ratio of each substitute tobacco leaf in the substitute tobacco leaf module when the DTW distance is minimized.

[0036] Preferably, the minimum value of the DTW distance is solved by a traversal method.

[0037] On the other hand, the present invention also provides the application of the heated tobacco leaf formulation maintenance method described above in tobacco leaf formulation substitution and / or tobacco product quality control.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] This invention relates to a method for maintaining the formulation of heated cigarette leaf groups based on the release of neutral aroma components. It establishes a bivariate predictive model for the release of neutral aroma components using glycerol content and the geometric mean of sugar nitrogen. After dimensionality reduction, it constructs a predictive equation for the release curve of the tobacco leaf module. A dynamic time warping algorithm is used to optimize the proportion of substitute tobacco leaves, achieving stable maintenance of the sensory quality of heated cigarette products. This method overcomes the limitations of traditional formulation maintenance that relies on sensory evaluation, providing a quantitative decision-making basis for heated cigarette product development. Specifically, it includes:

[0040] 1) By establishing a nonlinear prediction model of the release of neutral aroma components based on the geometric mean of glycerol content and sugar nitrogen, the scientificity and accuracy of formula maintenance are significantly improved, overcoming the limitations of traditional empirical methods.

[0041] 2) By combining the Dynamic Time Warping (DTW) algorithm and the optimization algorithm, the aroma release curves of the substitute tobacco leaves and the target tobacco leaves are accurately matched to ensure the stability of the product's sensory quality.

[0042] 3) Transforming complex sensory evaluations into quantifiable mathematical models significantly improves formula maintenance efficiency while reducing the impact of raw material fluctuations on the quality of heated cigarette products. Attached Figure Description

[0043] Figure 1 This is the optimal ratio of DTW (Digital Tobacco Welding) modules for the two types of tobacco leaves to be maintained in Example 1;

[0044] Figure 2 This is the optimal ratio of DTW (Digital Tobacco Welding) modules for the three types of tobacco leaves to be maintained in Example 2;

[0045] Figure 3 This is the optimal ratio result of the DTW (Digital Tobacco Welding) module for the four types of tobacco leaves to be maintained in Example 3. Detailed Implementation

[0046] The technical solution of the present invention will be further illustrated below through specific embodiments. Those skilled in the art should understand that the embodiments described are merely illustrative of the present invention and should not be construed as limiting the invention in any way.

[0047] Example 1

[0048] This embodiment provides a method for maintaining heated tobacco leaf formulations based on the release of neutral aroma components. The method includes the following steps:

[0049] Step 1) The tobacco leaf module to be maintained consists of two tobacco leaves from 2023, A and B. The proportions of tobacco leaves A and B in the formula of the module to be maintained are 50% and 50%, respectively. Based on the two tobacco leaves to be maintained, according to the principle of the same type, variety, origin, part and grade structure, two tobacco leaves from 2024, C and D, are selected accordingly.

[0050] The total sugar content was determined according to the tobacco industry standard "Determination of Water-Soluble Sugars in Tobacco and Tobacco Products - Continuous Flow Method" (YC / T 159-2019):

[0051] Table 1 Results of total sugar determination in tobacco leaves

[0052] unit:%

[0053]

[0054] The total nitrogen content was determined according to the standard "Determination of Total Nitrogen in Tobacco and Tobacco Products - Continuous Flow Method" (YC / T 161-2002).

[0055] Table 2 Results of total nitrogen determination in tobacco leaves

[0056] unit:%

[0057]

[0058] Calculate the geometric mean of sugar and nitrogen in the four types of tobacco leaves:

[0059]

[0060] After adding 0-15% gradient glycerol to tobacco leaves, the release of neutral aroma components was analyzed using gas chromatography-mass spectrometry. Surface prediction equations for the release of neutral aroma components were established for two groups of tobacco leaves, "A, C" and "B, D".

[0061]

[0062]

[0063] The equation z(x,y) AC The model's coefficient of determination R 2 The value is 0.999879, and the equation is z(x,y). BD The model's coefficient of determination R 2 It is 0.999686.

[0064] The analysis method for the release of neutral aroma components from tobacco leaves is as follows (the same applies to the examples below):

[0065] 1. Heating release test of tobacco leaves

[0066] The tobacco sample was pulverized using a pulverizer and passed through a 60-mesh sieve. 0.4 g (accurate to 0.001 g) of the tobacco powder sample was weighed and placed in the quartz tube of a programmable temperature-controlled heating coupled flue gas collection device. A mixed gas mixture of 20% oxygen and 80% nitrogen (by volume) was introduced into the quartz tube at a flow rate of 0.2 L / min using a mixed gas control system. After 3 min of gas introduction, the temperature control system raised the quartz tube from room temperature to 350°C within 20 s and maintained this temperature for 5 min. Cambridge filters were used to collect particulate matter from the flue gas. After heating, the furnace lid was opened to continue gas introduction, and the Cambridge filters were removed after 5 min of cooling. After each experiment, the furnace was cooled to 50°C before replacing the sample for the next round of experiments.

[0067] 2. Capture of neutral aroma components

[0068] The collected Cambridge filters were folded and placed in an Erlenmeyer flask. 60 mL of dichloromethane was added, and the mixture was sonicated at room temperature for 30 min to obtain an extract of the smoke aroma components. The extract was transferred to a separatory funnel and washed three times with 15 mL of 5% hydrochloric acid. The lower layers were combined, and the mixture was washed once more with saturated saline to obtain a neutral component extract. An appropriate amount of anhydrous sodium sulfate was added, and the extract was dried overnight. The solution was transferred to a concentration flask, and 1 mL of a 0.200 mg / mL phenethyl acetate-dichloromethane internal standard solution was added. The solution was concentrated to a final volume of 1 mL, filtered through a 0.45 μm organic membrane, and then transferred to a chromatographic sample vial.

[0069] 3. Gas Chromatography-Mass Spectrometry Analysis

[0070] Gas chromatography conditions: Carrier gas: He, 1.0 mL / min; Column: HP-5MS (60 m × 0.25 mm × 0.25 µm); Temperature program: 50 °C for 2 min, ramp to 250 °C at 4 °C / min, then ramp to 280 °C at 10 °C / min and hold for 10 min; Injection volume: 1 µL; Injector temperature: 280 °C; Split ratio: 5:1.

[0071] Mass spectrometry conditions: Ion source: electron impact (EI) source; ionization voltage: 70 eV; transfer line temperature: 280℃; electron multiplier voltage: 1635 V; ion source temperature: 230℃; quadrupole temperature: 150℃; mass scan range: m / z 30-550.

[0072] Step 2) The geometric mean values ​​of sugar and nitrogen in tobacco leaves A, B, C, and D are 7.08967%, 8.06099%, 8.01187%, and 7.4206%, respectively. The curve prediction equations z(x) (denoted as u(x)) for the release of neutral aroma components in the tobacco leaves to be maintained (A and B) and the substitute tobacco leaves (C and D) are obtained. A u(x)B v(x) C v(x) D ):

[0073]

[0074] Step 3) Calculate the prediction equation U(x) for the neutral aroma component release curve of the tobacco leaf module to be maintained. AB :

[0075]

[0076] The predictive equation V(x) for the release curve of neutral aroma components in the substitute tobacco module. CD for:

[0077]

[0078] Wherein, α is the formulation ratio of substitute tobacco leaf C, and β is the formulation ratio of substitute tobacco leaf D (α+β=1).

[0079] Step 4) Calculate U using the dynamic time warping algorithm. AB (i.e. U(x) AB ) and V CD (i.e., V(x)) CD DTW distance:

[0080]

[0081] Where π represents the optimal alignment path between the two curves, which is composed of the mapping functions π1(t) and π2(t), where π1(t) represents the index of the corresponding point of curve U at step t, and π2(t) represents the index of the corresponding point of curve V at step t.

[0082] Calculations show that the minimum DTW (Digital Tobacco Weighing) value between the tobacco leaf module to be maintained and the substitute tobacco leaf module is 0.0419, which is 12.7 times smaller than the DTW value (0.5333) of the substitute tobacco leaf module using the original formula ratio. This minimum DTW value corresponds to a substitute tobacco leaf formula ratio of 68% for C and 32% for D (e.g., ...). Figure 1 As shown in the figure, the tobacco leaf module CD is used to replace the tobacco leaf module AB to be maintained for leaf group formulation design and production, which effectively improves the stability of the release of neutral aroma components in heated cigarette products.

[0083] Sensory evaluation was conducted according to the "Sensory Analysis Methods: Two-to-Three-Point Test" (GB / T 17321-2012). Nine sensory evaluators were organized, using the "formula to be maintained" as a fixed reference sample, to compare the differences between the "formula after maintenance." The results showed that only 4 out of the 9 evaluators correctly identified the sample as the same as the reference sample. According to the statistical principle of the two-to-three-point test (null hypothesis probability p=1 / 2), the p-value corresponding to the number of correct responses was >0.05 (calculated, p≈0.746), which was not statistically significant at the 0.05 significance level. Therefore, it was determined that there was no significant sensory difference between the maintained formula and the original formula sample.

[0084] Example 2

[0085] This embodiment provides a method for maintaining heated tobacco leaf formulations based on the release of neutral aroma components. The method includes the following steps:

[0086] Step 1) The tobacco leaf module to be maintained consists of three types of tobacco leaves from 2023: A, B, and E. The proportions of A, B, and E in the module's formula are 1 / 3, 1 / 3, and 1 / 3, respectively. Based on these three types of tobacco leaves (A, B, and E), and following the principles of similar type, variety, origin, part of plant, and grade, three types of tobacco leaves from 2024 (C, D, and F) are selected for replacement. The total sugar content is determined according to the tobacco industry standard "Determination of Water-Soluble Sugars in Tobacco and Tobacco Products - Continuous Flow Method" (YC / T 159-2019).

[0087] Table 3 Results of total sugar determination in tobacco leaves

[0088] unit:%

[0089]

[0090] The total nitrogen content was determined according to the standard "Determination of Total Nitrogen in Tobacco and Tobacco Products - Continuous Flow Method" (YC / T 161-2002).

[0091] Table 4 Results of total nitrogen determination in tobacco leaves

[0092] unit:%

[0093]

[0094] Calculate the geometric mean of sugar and nitrogen in six types of tobacco leaves:

[0095]

[0096] After adding 0-15% glycerol in gradients to tobacco leaves, the release of neutral aroma components was analyzed using gas chromatography-mass spectrometry. Surface prediction equations for the release of neutral aroma components were established for three groups of tobacco leaves: "A, C", "B, D", and "E, F".

[0097]

[0098]

[0099]

[0100] Step 2) The geometric mean values ​​of sugar and nitrogen for tobacco leaves A, B, E, C, D, and F are 7.08967%, 8.06099%, 8.47686%, 8.01187%, 7.4206%, and 7.7508%, respectively. Based on the geometric mean values ​​of sugar and nitrogen, the surface prediction equation for the release of neutral aroma components is reduced in dimension to obtain the curve prediction equations z(x) (denoted as u(x)) for the release of neutral aroma components for the tobacco leaves to be maintained (A, B, and E) and the substitute tobacco leaves (C, D, and F). A u(x) B u(x) E v(x) C v(x) D v(x) F ):

[0101]

[0102]

[0103]

[0104]

[0105]

[0106]

[0107] Step 3) Calculate the prediction equation U(x) for the neutral aroma component release curve of the tobacco leaf module to be maintained. ABE :

[0108]

[0109] The predictive equation V(x) for the release curve of neutral aroma components in the substitute tobacco module. CDF for:

[0110]

[0111] Wherein, α is the formulation ratio of substitute tobacco leaf C, β is the formulation ratio of substitute tobacco leaf D, and γ is the formulation ratio of substitute tobacco leaf F (α+β+γ=1).

[0112] Step 4) Calculate U using the dynamic time warping algorithm. ABE (i.e. U(x) ABE) and V CDF (i.e., V(x)) CDF DTW distance:

[0113]

[0114] Where π represents the optimal alignment path between the two curves, which is composed of the mapping functions π1(t) and π2(t), where π1(t) represents the index of the corresponding point of curve U at step t, and π2(t) represents the index of the corresponding point of curve V at step t.

[0115] Calculations show that the minimum DTW (Digital Tobacco Weighing) value between the tobacco leaf module to be maintained and the substitute tobacco leaf module is 0.0159, which is 10.97 times smaller than the DTW value (0.1745) of the substitute tobacco leaf module using the original formula ratio. This minimum DTW value corresponds to a substitute tobacco leaf formula ratio of 25% for C, 42% for D, and 33% for F (e.g., ...). Figure 2 As shown in the figure, the CDF (Chemical Diffusion Module) is used to replace the ABE (Anti-Burning Module) for leaf blend design and production, which effectively improves the stability of the release of neutral aroma components in heated cigarette products.

[0116] Example 3

[0117] This embodiment provides a method for maintaining heated tobacco leaf formulations based on the release of neutral aroma components. The method includes the following steps:

[0118] Step 1) The tobacco leaf module to be maintained consists of four tobacco leaves from 2023: A, B, E, and G. The proportions of tobacco leaves A, B, E, and G in the formula of the module to be maintained are 25%, 25%, 25%, and 25%, respectively. Based on the four tobacco leaves to be maintained (A, B, E, and G), four tobacco leaves from 2024 (C, D, F, and H) are selected according to the principle of the same type, variety, origin, part, and grade structure.

[0119] The total sugar content was determined according to the tobacco industry standard "Determination of Water-Soluble Sugars in Tobacco and Tobacco Products - Continuous Flow Method" (YC / T 159-2019):

[0120] Table 5 Results of total sugar determination in tobacco leaves

[0121] unit:%

[0122]

[0123] The total nitrogen content was determined according to the standard "Determination of Total Nitrogen in Tobacco and Tobacco Products - Continuous Flow Method" (YC / T 161-2002).

[0124] Table 6 Results of Total Nitrogen Determination in Tobacco Leaves

[0125] unit:%

[0126]

[0127] Calculate the geometric mean of sugar and nitrogen in 8 types of tobacco leaves:

[0128]

[0129] After adding 0-15% gradient glycerol to tobacco leaves, the release of neutral aroma components was analyzed using gas chromatography-mass spectrometry. Surface prediction equations for the release of neutral aroma components from four groups of tobacco leaves, "A, C", "B, D", "E, F", and "G, H", were established respectively.

[0130]

[0131]

[0132]

[0133]

[0134] Step 2) The geometric mean values ​​of sugar and nitrogen for tobacco leaves A, B, E, G, C, D, F, and H are 7.08967%, 8.06099%, 8.47686%, 7.28789%, 8.01187%, 7.4206%, 7.7508%, and 7.38402%, respectively. Based on the geometric mean values ​​of sugar and nitrogen, the surface prediction equation for the release of neutral aroma components is reduced in dimension, resulting in the curve prediction equations z(x) (denoted as u(x)) for the release of neutral aroma components for the tobacco leaves to be maintained (A, B, E, and G) and the substitute tobacco leaves (C, D, F, and H). A u(x) B u(x) E u(x) G v(x) C v(x) D v(x) F u(x) H ):

[0135]

[0136]

[0137]

[0138]

[0139]

[0140]

[0141]

[0142]

[0143] Step 3) Calculate the prediction equation U(x) for the neutral aroma component release curve of the tobacco leaf module to be maintained. ABEG :

[0144]

[0145] The predictive equation V(x) for the release curve of neutral aroma components in the substitute tobacco module. CDFH for:

[0146]

[0147] Wherein, α is the formulation ratio of substitute tobacco leaf C, β is the formulation ratio of substitute tobacco leaf D, γ is the formulation ratio of substitute tobacco leaf F, and θ is the formulation ratio of substitute tobacco leaf H (α+β+γ+θ=1).

[0148] Step 4) Calculate U using the dynamic time warping algorithm. ABEG (i.e. U(x) ABEG ) and V CDFH (i.e., V(x)) CDFH DTW distance:

[0149]

[0150] Where π represents the optimal alignment path between the two curves, which is composed of the mapping functions π1(t) and π2(t), where π1(t) represents the index of the corresponding point of curve U at step t, and π2(t) represents the index of the corresponding point of curve V at step t.

[0151] Calculations show that the minimum DTW (Deep Dry Wave) between the tobacco leaf module to be maintained and the substitute tobacco leaf module is 0.0175, which is 44.7 times smaller than the DTW value (0.7822) of the substitute tobacco leaf module using the original formula ratio. This minimum DTW corresponds to a substitute tobacco leaf formula ratio of 15% for C, 50% for D, 20% for F, and 15% for H (e.g., ...). Figure 3 As shown in the figure, the CDFH tobacco leaf module is used to replace the ABEG tobacco leaf module to be maintained for leaf group formulation design and production, which effectively improves the stability of the release of neutral aroma components in heated cigarette products.

[0152] Example 4

[0153] This embodiment provides a method for maintaining the formulation of heated tobacco leaf packs based on the release of neutral aroma components. Except for the calculation formula for the geometric mean of sugar and nitrogen, the rest of the method is the same as in Embodiment 1:

[0154] ;

[0155] In the formula, TS is the total sugar content and TN is the total nitrogen content.

[0156]

[0157] Two surface prediction equations for the release of neutral aroma components in tobacco leaves, "A, C" and "B, D", were established respectively, where the equation z(x,y) is... AC The model's coefficient of determination R 2 The value is 0.999339, and the non-monotonicity exponent (NMI) is 0.2657; the equation z(x,y) BD The model's coefficient of determination R 2 The NMI is 0.999873, and the non-monotonicity index (NMI) is 0.2161. Both models have NMI values ​​greater than 0.2, indicating poor generalization ability and the risk of overfitting.

[0158]

[0159] Based on the above model evaluation results, although both models have high fitting accuracy, both tobacco leaf prediction models have abnormal fluctuation characteristics and do not meet the modeling requirements.

[0160] Example 5

[0161] This embodiment provides a method for maintaining the formulation of heated tobacco leaf packs based on the release of neutral aroma components. Except for the calculation formula for the geometric mean of sugar and nitrogen, the rest of the method is the same as in Embodiment 1:

[0162] ;

[0163] In the formula, TS represents the total sugar content.

[0164]

[0165] Two surface prediction equations for the release of neutral aroma components in tobacco leaves, "A, C" and "B, D", were established respectively, where the equation z(x,y) is... AC The model's coefficient of determination R 2 The NMI is 0.2812, which is greater than 0.2, and the model has poor generalization ability and the risk of overfitting; the equation z(x,y) is... BD The model's coefficient of determination R 2 The value is 0.999877, and the non-monotonicity index (NMI) is 0.1820.

[0166]

[0167] Based on the above model evaluation results, although the fitting accuracy of both models is high, the tobacco leaf prediction models of groups "A" and "C" have abnormal fluctuation characteristics and do not meet the modeling requirements.

[0168] Example 6

[0169] This embodiment provides a method for maintaining the formulation of heated tobacco leaf packs based on the release of neutral aroma components. Except for the calculation formula for the geometric mean of sugar and nitrogen, the rest of the method is the same as in Embodiment 1:

[0170] ;

[0171] In the formula, TN represents the total nitrogen content.

[0172]

[0173] Two surface prediction equations for the release of neutral aroma components in tobacco leaves, "A, C" and "B, D", were established respectively, where the equation z(x,y) is... AC The model's coefficient of determination R 2 The NMI is 0.2369, which is greater than 0.2, indicating that the model has poor generalization ability and is at risk of overfitting; the equation z(x,y) is... BD The model's coefficient of determination R 2 The value is 0.999882, and the non-monotonicity index (NMI) is 0.0826.

[0174]

[0175] Based on the above model evaluation results, although the fitting accuracy of both models is high, the tobacco leaf prediction models of groups "A" and "C" have abnormal fluctuation characteristics and do not meet the modeling requirements.

[0176] As can be seen from the above, the method provided by this invention achieves stable maintenance of the sensory quality of heated cigarette products, providing a quantitative decision-making basis for the development of heated cigarette products; at the same time, by using a specific formula to calculate the geometric mean of sugar and nitrogen and using it to construct equations, this invention can effectively improve the accuracy of prediction.

[0177] The applicant declares that this invention illustrates the method for maintaining the formula of heated tobacco leaves based on the release of neutral aroma components and its application through the above embodiments. However, this invention is not limited to the above embodiments, meaning that this invention does not necessarily rely on the above embodiments to be implemented. Those skilled in the art should understand that any improvements to this invention, equivalent substitutions of the raw materials in the product of this invention, addition of auxiliary components, and selection of specific methods, etc., all fall within the protection and disclosure scope of this invention.

[0178] The preferred embodiments of the present invention have been described in detail above. However, the present invention is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solution of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0179] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not describe the various possible combinations separately.

Claims

1. A method for maintaining the formulation of heated tobacco leaf blends based on the release of neutral aroma components, characterized in that, The method for maintaining the heated tobacco leaf formula includes the following steps: S1. Based on the basic information of the tobacco leaves to be maintained in the formula of the heated tobacco leaf group to be maintained, select a substitute tobacco leaf that is similar to it, and detect the sugar and nitrogen content of the tobacco leaves to be maintained and the substitute tobacco leaf; add glycerol of gradient concentration to the tobacco leaves to be maintained and the substitute tobacco leaf, detect the release of neutral aroma components, and then establish a surface prediction equation for the release of neutral aroma components of the tobacco leaves to be maintained and the substitute tobacco leaf with glycerol content and the geometric mean of sugar and nitrogen as independent variables and the release of neutral aroma components as dependent variable; S2. Based on the geometric mean of sugar and nitrogen in the tobacco leaves to be maintained and the substitute tobacco leaves, the surface prediction equation in step S1 is reduced in dimension to obtain the curve prediction equation for the release of neutral aroma components in the tobacco leaves to be maintained and the substitute tobacco leaves. S3. Combine the tobacco leaves to be maintained into tobacco leaf modules and establish a prediction equation for the release curve of neutral aroma components of the tobacco leaf modules; combine the substitute tobacco leaves into substitute tobacco leaf modules and establish a prediction equation for the release curve of neutral aroma components of the substitute tobacco leaf modules. S4. Based on the prediction equation of the neutral aroma component release curves of the tobacco leaf module to be maintained and the substitute tobacco leaf module, calculate the DTW distance between the two, find the optimal ratio of the substitute tobacco leaf module, and realize the maintenance of the leaf group formula of the heated cigarette product.

2. The method for maintaining the formulation of heated tobacco leaf packs based on the release of neutral aroma components according to claim 1, characterized in that, The basic information mentioned in step S1 includes any one or at least a combination of two of the following: tobacco leaf type, variety, origin, part, grade structure, nicotine content, reducing sugar content, or sensory evaluation quality.

3. The method for maintaining the formulation of heated tobacco leaf packs based on the release of neutral aroma components according to claim 1 or 2, characterized in that, The sugar and nitrogen content mentioned in step S1 includes total sugar content and total nitrogen content; Preferably, the neutral fragrance component in step S1 includes furfural, furfuryl alcohol, methylcyclopentenolone, 2-acetylfuran, 2,5-hexanedione, 2-cyclohexen-1-one, and 5-methyl- 2(5H)-furanone, 5-methylfurfural, methyl 2-furoate, 3-methyl-2(5H)-furanone, 1,2-dimethylcyclohexene, 2,5-dihydro-3,5-dimethyl-2-furanone, benzyl alcohol, 2,3-dimethyl-2-cyclopentenone, 4-methyl-2(H)-furanone, allyl methacrylate, 3-methyl-2-cyclohexen-1-one, 3-vinyl-cyclohexanone, 1-(2-methyl-1-cyclopentenyl)ethyl ketone, acetophenone, 2-methylbenzaldehyde, 2-methylbenzofuran, phenethyl alcohol, carvone oxide, solanone, 1-pentadene, mesostachitenone A, mesostachitenone B, 9-hydroxy-4,7-mesostachitenone Dien-3-one, 4-(3-hydroxybutyl)-3,5,5-trimethyl-2-cyclohexen-1-one, (+)-hesperene, spirovesperidone, neophytediene, methyl palmitate, farnesol, ethyl palmitate, methyl stearate, ethyl linoleate, ethyl linolenic acid, (1S,2E,4R,7E,11E)-2,7,11-cebertrien-4-ol, geranylgeraniol, 3-methyl-2-cyclopenten-1-one, 5-hydroxymethylfurfural, p-methylacetophenone, 3-ethyl-2-cyclopenten-1-one, benzyl alcohol, d-limonene, cyclohexen-1,4-dione, or di-n-butyl phthalate, or any one or a combination of at least two of these.

4. The method for maintaining the formulation of heated tobacco leaf blends based on the release of neutral aroma components according to claim 3, characterized in that, The formula for calculating the geometric mean of sugar nitrogen in step S1 is as follows: ； In the formula, y is the geometric mean of sugar and nitrogen, TS is the total sugar content, and TN is the total nitrogen content.

5. The method for maintaining the formulation of heated tobacco leaf packs based on the release of neutral aroma components according to claim 4, characterized in that, The surface prediction equation in step S1 is as follows: ； In the formula, k1-k 14 The fitting parameters are: x is the glycerol content, y is the geometric mean of sugar and nitrogen, and z(x,y) is the amount of neutral aroma components released.

6. The method for maintaining the heated tobacco leaf blend formulation based on the release amount of neutral aroma components according to any one of claims 1-5, characterized in that, The curve prediction equation described in step S2 is as follows: ； In the formula, k1-k 14 The fitting parameters are: x is the glycerol content, and w is the geometric mean of sugar and nitrogen in a specific tobacco leaf.

7. The method for maintaining the heated tobacco leaf blend formulation based on the release amount of neutral aroma components according to any one of claims 1-6, characterized in that, The prediction equation for the neutral aroma component release curve of the tobacco leaf module to be maintained in step S3 is as follows: ； In the formula, p i u represents the proportion of the i-th type of tobacco leaf requiring maintenance. i (x) is the curve prediction equation for the release of neutral aroma components of the i-th type of tobacco leaf to be maintained; Preferably, the prediction equation for the neutral aroma component release curve of the substitute tobacco module in step S3 is as follows: ； In the formula, q i v represents the proportion of the i-th type of substitute tobacco used. i (x) is the curve prediction equation for the release of neutral aroma components of the i-th substitute tobacco leaf.

8. The method for maintaining the formulation of heated tobacco leaf packs based on the release of neutral aroma components according to claim 6 or 7, characterized in that, The formula for calculating the minimum DTW distance in step S4 is as follows: ； In the formula, U and V represent the prediction equations for the release curves of neutral aroma components of the tobacco leaf module to be maintained and the substitute tobacco leaf module, respectively; π represents the optimal alignment path between the two curves, which consists of two mapping functions π1(t) and π2(t); π1(t) represents the index of the corresponding point of curve U at step t under path π; π2(t) represents the index of the corresponding point of curve V at step t under path π; U[π1(t)] represents the release value of curve U at position π1(t); V[π2(t)] represents the release value of curve V at position π2(t).

9. The method for maintaining the formulation of heated tobacco leaf packs based on the release of neutral aroma components according to claim 8, characterized in that, The optimal ratio of the substitute tobacco leaf module in step S4 is the ratio of each substitute tobacco leaf in the substitute tobacco leaf module when the DTW distance is minimized. Preferably, the minimum value of the DTW distance is solved by a traversal method.

10. The application of a heated tobacco leaf formulation maintenance method according to any one of claims 1-9 in tobacco leaf formulation substitution and / or tobacco product quality control.

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