A method for designing leaf formulations with adjustable tar release for aroma preservation and tar reduction

Abstract

The present application relates to a tar release amount controllable tobacco leaf group formula design method with aroma preservation and tar reduction, which comprises the following steps: establishing a tobacco grade sample library, calculating the low-tar evaluation index LT of all tobacco grades in the sample library, screening in combination with the low-tar evaluation index LT of tobacco grades in an existing tobacco leaf group formula and the product style characteristics of a target formula to obtain a sample library of tobacco grades to be selected; calculating the tar comprehensive evaluation index Y of the existing tobacco leaf group formula, and determining the reference value of the tar comprehensive evaluation index of the target formula; adjusting the tobacco grade dosage in the sample library of tobacco grades to be selected according to the reference value of the tar comprehensive evaluation index, and outputting a series of tobacco leaf group formulas, which, after sensory evaluation, gives a target tobacco leaf group formula. The design method provided by the present application improves the key core technology of aroma preservation and tar reduction in the design of tobacco leaf group formulas of ultra-low-tar cigarette products, and strengthens the core competitiveness of formula maintenance, aroma preservation and tar stabilization of cigarette products with different tar design values.

Description

TECHNICAL FIELD

[0001] The present application relates to the tobacco technical field, and particularly relates to a tobacco tar release amount controllable tobacco leaf group formula design method with aroma preservation and tar reduction. BACKGROUND

[0002] With the deepening of the research on smoking and health, the development of low-tar tobacco products has become an inevitable direction of the world tobacco development. Tar reduction and aroma loss make the design and development and maintenance of low-tar product leaf group formula difficult, so it is of great significance to develop a tobacco tar release amount controllable leaf group formula design method with aroma preservation and tar reduction to meet the tar design value and satisfy the sense of satisfaction and guarantee high sensory quality, for the sustainable development of low-tar cigarette products.

[0003] In the previous study of the present application, the inventors analyzed the correlation between the sensory quality and style characteristics of flue-cured tobacco leaves, and the study showed that the transmittance and offensive odor were the main influencing factors of the style highlighting degree, the transmittance was the main influencing factor of the concentration, and the transmittance, aroma amount and aftertaste were the main influencing factors of the strength, and it was verified that the style characteristics of tobacco leaves could be predicted by the sensory quality index, which had certain reference significance for the construction of the tobacco quality evaluation system.

[0004] CN102628855A discloses a method for predicting the smoke components of flue-cured tobacco leaves, which performs correlation analysis on the physical indexes of each flue-cured tobacco leaf by SPSS, performs stepwise regression analysis on the physical indexes and the smoke indexes, obtains the regression equation of the physical indexes and the smoke indexes of the flue-cured tobacco leaves, and predicts the smoke indexes by using each regression equation.

[0005] At present, there is no information about a leaf group formula design method combining mathematical model to realize the reduction of tobacco tar release amount on the basis of aroma preservation, so it is necessary to develop a model considering the tobacco tar release amount and the sensory quality of tobacco leaf samples and the use method thereof in formula design, so as to meet the application in the development of low-tar cigarette products and the updating and maintenance of cigarette product leaf group formula. SUMMARY

[0006] To solve the above technical problems, the present application provides a tobacco tar release amount controllable leaf group formula design method with aroma preservation and tar reduction. The leaf group formula design method provided by the present application can quickly and effectively screen out highly matched raw material grade groups for products with different tar design values, and output a series of leaf group formulas meeting the tar design value according to the formula tar comprehensive evaluation index Y, greatly reducing the workload of formula personnel, further improving the key core technology of aroma preservation and tar reduction in the design of leaf group formula of ultra-low-tar cigarette products, and strengthening the core competitiveness of formula maintenance, aroma preservation and tar stabilization of cigarette products with different tar design values.

[0007] To achieve the purpose, the present application adopts the following technical solutions:

[0008] In a first aspect, the present application provides a method for designing a tobacco leaf group formula with controllable tar release and aroma preservation, characterized in that the method comprises the following steps:

[0009] (1) Establishing a sample library of tobacco leaf grades, calculating the low-tar evaluation index LT of all tobacco leaf grades in the sample library, and screening the low-tar evaluation index LT of the tobacco leaf grades in the existing tobacco leaf group formula and the product style characteristics of the target formula to obtain a sample library of tobacco leaf grades to be selected;

[0010] The calculation formula of the low-tar evaluation index LT is as follows:

[0011]

[0012] Wherein, A represents the weight of cut tobacco, B represents the smoke nicotine, C represents the aroma quality, D represents the aroma quantity, and J represents the tar release; represents the average value of the tobacco leaf grade , represents the average value of the tobacco leaf grade , represents the average value of the tobacco leaf grade , represents the average value of the tobacco leaf grade ;

[0013] (2) Calculating the tar comprehensive evaluation index Y of the existing tobacco leaf group formula, and determining the reference value of the tar comprehensive evaluation index of the target formula;

[0014] The calculation formula of the tar comprehensive evaluation index Y is as follows:

[0015]

[0016] Wherein, i represents the tobacco leaf grade, LT i represents the low-tar evaluation index of the i-th tobacco leaf grade, m i represents the mass of the i-th tobacco leaf grade in the tobacco leaf group formula, m 总 represents the total mass of the tobacco leaf grades in the tobacco leaf group formula;

[0017] (3) Adjusting the amount of the tobacco leaf grades in the sample library of tobacco leaf grades to be selected according to the reference value of the tar comprehensive evaluation index, outputting a series of tobacco leaf group formulas, and obtaining a tobacco leaf group formula with controllable tar release and aroma preservation after sensory evaluation.

[0018] In the prior art, tobacco leaf group formula is usually designed according to operation experience, tar detection is then performed, and repeated adjustment is made according to the detection result, which needs to consume a large amount of time and energy of formula personnel. Based on this, the present application provides a tobacco tar adjustable tobacco leaf group formula design method for aroma preservation and tar reduction.

[0019] The low-tar evaluation index LT comprehensively considers the sensory quality, satisfaction and tar release amount of tobacco leaves, can screen tobacco leaf samples that simultaneously satisfy low-tar release amount and also consider tobacco aroma and satisfaction, simultaneously introduces a tobacco leaf group formula tar comprehensive evaluation index Y, and designs a new formula based on an existing formula, so that the obtained formula can satisfy the tar design value at the beginning, and also consider the sensory quality of the formula, thereby guaranteeing the quality stability of the new formula. The tobacco leaf group formula design method provided by the present application can quickly and effectively screen highly matched raw material grade groups for products with different tar design values, and output a series of tobacco leaf group formulas that meet the tar design value, thereby greatly reducing the workload of formula personnel, further improving the key core technology of aroma preservation and tar reduction for tobacco leaf group formula design of ultra-low-tar cigarette products, and strengthening the core competitiveness of formula maintenance, aroma preservation and tar stability for cigarette products with different tar design values.

[0020] Preferably, when the tobacco leaf group formula design method is used for low-tar product formula development, the screening in step (1) comprises: selecting tobacco leaf grades that are not less than the minimum value of the low-tar evaluation index LT of the tobacco leaf grades in the existing tobacco leaf group formula and are consistent with the product style characteristics of the target formula.

[0021] Preferably, the number of tobacco leaf grades in the sample library of candidate tobacco leaf grades is 10-30 (for example, can be 10, 15, 20, 25, 30, etc.).

[0022] Preferably, the reference value of the tar comprehensive evaluation index in step (2) is higher than the tar comprehensive evaluation index Y of the existing tobacco leaf group formula.

[0023] Preferably, the number of the existing tobacco leaf group formulas in step (1) and step (2) is 1-8 (for example, can be 1, 2, 3, 4, 5, 6, 7, 8).

[0024] In the present application, the tobacco leaf group formula design method can be used for development of a low-tar product formula, and the obtained formula product is a high-aroma low-tar tobacco leaf group formula.

[0025] Preferably, when the tobacco leaf group formula design method is used for maintenance of an existing product formula, the screening in step (1) comprises: selecting tobacco leaf grades that have an absolute value <0.3 (for example, can be 0.01, 0.05, 0.1, 0.2, 0.25, etc.) of the difference of the low-tar evaluation index LT from the tobacco leaf grades in the existing tobacco leaf group formula and are consistent with the product style characteristics of the existing formula, to obtain a sample library of candidate tobacco leaf grades.

[0026] Preferably, the number of tobacco grades in the sample library of candidate tobacco grades is 10-30 (for example, it can be 10, 15, 20, 25, 30, etc.).

[0027] Preferably, the reference value of the tar comprehensive evaluation index in step (2) is the interval value of the tar comprehensive evaluation index Y of the existing leaf group formula.

[0028] Preferably, the number of existing leaf group formulas in steps (1) and (2) is 2-8 (for example, it can be 2, 3, 4, 5, 6, 7, 8).

[0029] In the present application, the leaf group formula design method can be used for maintenance of existing product formulas, and the obtained formula product is a maintenance leaf group formula that meets the tar design value, takes into account tobacco aroma, and satisfies the sense of satisfaction.

[0030] Preferably, the evaluation indexes of the sensory evaluation in step (3) include style highlighting degree, strength, concentration, aroma quality, aroma amount, penetration, harmony, sweet and smooth feeling, miscellaneous gas, irritability, and aftertaste.

[0031] Preferably, after the sensory evaluation, unqualified formulas are removed to obtain a leaf group formula with controllable tar release amount for aroma preservation and tar reduction.

[0032] Preferably, the sensory evaluation score of the unqualified formula is <85.

[0033] Compared with the prior art, the present application has at least the following beneficial effects:

[0034] The leaf group formula design method provided by the present application introduces a low-tar evaluation index LT and a formula tar comprehensive evaluation index Y, comprehensively considers the sensory quality and tar release amount of tobacco, and the obtained formula can meet the tar design value at the beginning of formation, and can also take into account the sensory quality and satisfaction of the formula, thereby guaranteeing the quality stability of the new formula, greatly reducing the workload of the formula personnel, further improving the key core technology of aroma preservation and tar reduction of the leaf group formula design of the ultra-low-tar cigarette product, and strengthening the core competitiveness of the leaf group formula maintenance, aroma preservation, and tar stability of the cigarette product with different tar design values. DETAILED DESCRIPTION

[0035] In order to facilitate the understanding of the present application, the present application is illustrated as follows. It should be understood by those skilled in the art that the examples are only used to help understand the present application and should not be regarded as a specific limitation on the present application.

[0036] Example 1

[0037] The embodiment provides a tar-adjustable leaf group formula design method for aroma preservation and tar reduction.

[0038] (1) Establish a tobacco grade sample library, calculate the low-tar evaluation index LT of all tobacco grades in the sample library, determine existing leaf group formulas 1-2 as reference formulas (5mg / cig product formula, 3mg / cig product formula), select 30 tobacco grades not less than the minimum value (3.56) of the low-tar evaluation index LT in the existing leaf group formula in the tobacco grade sample library, and obtain a to-be-selected tobacco grade sample library 1 (Table 2);

[0039] The calculation formula of the low-tar evaluation index LT is as follows:

[0040]

[0041] Wherein, A represents the weight of cut tobacco, B represents smoke nicotine, C represents aroma quality, D represents aroma amount, and J represents tar release amount; The average value of the tobacco grades participating in the evaluation The average value of the tobacco grades participating in the evaluation The average value of the tobacco grades participating in the evaluation The average value of the tobacco grades participating in the evaluation The average value of the tobacco grades participating in the evaluation The average value of the tobacco grades participating in the evaluation The average value of the tobacco grades participating in the evaluation The average value of the tobacco grades participating in the evaluation

[0042] The tar comprehensive evaluation index Y of the existing leaf group formula is calculated, and the reference value of the comprehensive evaluation index of the target formula is determined as Y>4.39;

[0043] The calculation formula of the formula tar comprehensive evaluation index Y is as follows:

[0044]

[0045] Wherein, i represents a tobacco grade, LT i LT represents the low-tar evaluation index of the i tobacco grade, m i m represents the mass of the i tobacco grade in the leaf group formula, m 总 m represents the total mass of the tobacco grades in the leaf group formula;

[0046] The information statistics of the existing leaf group formulas 1-2 are shown in Table 1.

[0047] Table 1

[0048]

[0049]

[0050] The sample information statistics in the candidate tobacco grade sample library 1 are shown in Table 2.

[0051] Table 2

[0052]

[0053]

[0054]

[0055] (2) According to the product design style and the use guarantee period of each grade of tobacco, the tobacco grade of each module of the leaf group formula (the style highlighting module, the quality guarantee and aroma enhancing module, and the smoke adjusting module) is determined, to obtain a candidate tobacco grade sample library 2, i.e., the formula leaf group grade (Table 3). According to the target formula comprehensive index reference value, the amount of each tobacco grade in the formula leaf group is determined, so that the obtained formula has a tar comprehensive index Y>4.39. The formula 1-9 with different tobacco components and amounts is output, and the sensory evaluation and tar content test are performed, respectively. The formula with a sensory evaluation score <85 is eliminated, and the low-tar leaf group formula meeting the standard is obtained.

[0056] Table 3

[0057]

[0058]

[0059] The sensory evaluation method is shown in Table 4, and the full score is 99. The total score of the product design style sensory evaluation of the unqualified sample is <85.

[0060] Table 4

[0061]

[0062] The tobacco grade composition of the formula 1-9 is shown in Table 5.

[0063] Table 5

[0064]

[0065]

[0066] The test effect summary of the formula 1-9 is shown in Table 6.

[0067] Table 6

[0068] Formulation Tar (mg / cig) Sensory evaluation total score 1 1.87 82 2 2 89 3 2.03 92 4 1.89 83 5 1.91 85 6 2.88 92 7 2.92 92 8 2.01 86 9 1.86 83

[0069] It can be seen from the results in Table 6 that the tobacco leaf group formula design method provided by the application can design a new formula based on the tar comprehensive index of an existing formula, the obtained formula can meet the tar design value at the beginning of formation, and meanwhile, the sensory quality of the formula can be considered, highly matched raw material grade groups can be quickly and effectively screened out for products with different tar design values, and a series of tobacco leaf group formulas conforming to the tar design value can be output, which greatly reduces the workload of formula personnel, further improves the key core technology of tobacco leaf group formula design for super-low tar cigarette products, and strengthens the core competitiveness of formula maintenance, tar stabilization and aroma preservation for cigarette products with different tar design values.

[0070] The applicant declares that the above description is only a specific embodiment of the application, but the protection scope of the application is not limited thereto. It should be understood by those skilled in the art that any changes or replacements within the technical scope disclosed by the application can be easily thought of by any person skilled in the art, and all fall within the protection scope and disclosure scope of the application.

Claims

1. A method for designing a leaf blend formulation with adjustable tar release for aroma preservation and tar reduction, characterized in that, The leaf group formulation design method includes the following steps: (1) Establish a sample library of tobacco leaf grades, calculate the low tar evaluation index LT of all tobacco leaf grades in the sample library, and screen the low tar evaluation index LT of tobacco leaf grades in the existing leaf group formula and the product style characteristics of the target formula to obtain a sample library of tobacco leaf grades to be selected. The formula for calculating the Low Tar Evaluation Index (LT) is as follows: Where A represents the weight of tobacco, B represents the nicotine in the smoke, C represents the aroma quality, D represents the aroma content, and J represents the tar release. Indicates the grade of the tobacco leaves being evaluated The average value, Indicates the grade of the tobacco leaves being evaluated The average value, Indicates the grade of the tobacco leaves being evaluated The average value, Indicates the grade of the tobacco leaves being evaluated The average value; (2) Calculate the tar comprehensive evaluation index Y of the existing leaf group formula and determine the reference value of the tar comprehensive evaluation index of the target formula; The formula for calculating the comprehensive tar evaluation index Y is as follows: in, Indicates the grade of tobacco leaves. Indicates the first The low tar rating index for tobacco leaf grades, Indicates the first leaf group formula The quality of tobacco leaf grade This indicates the total mass of tobacco leaf grades in the leaf blend formulation; (3) Adjust the amount of tobacco grade in the sample library of selected tobacco grades according to the reference value of the comprehensive evaluation index of tar, output a series of leaf group formulas, and obtain a leaf group formula with adjustable tar release after sensory evaluation. When the leaf blend formulation design method is used for the development of low tar product formulations, the screening in step (1) includes: selecting a tobacco grade that is not lower than the minimum value of the tobacco grade LT in the existing leaf blend formulation and is consistent with the product style characteristics of the target formulation; the reference value of the comprehensive tar evaluation index in step (2) is higher than the comprehensive tar evaluation index Y of the existing leaf blend formulation.

2. The leaflet formulation design method according to claim 1, characterized in that, The number of tobacco grades in the candidate tobacco grade sample library is 10-30.

3. The leaflet formulation design method according to claim 1, characterized in that, The number of existing leaf group formulations described in steps (1) and (2) is 1-8.

4. The leaflet formulation design method according to claim 1, characterized in that, When the leaf group formulation design method is used for the maintenance of existing product formulations, the screening in step (1) includes: selecting tobacco grades whose absolute value of the difference between the low tar evaluation index LT and the tobacco grade in the existing leaf group formulation is <0.3 and whose product style characteristics are consistent with the existing formulation, to obtain a sample library of candidate tobacco grades; the reference value of the comprehensive tar evaluation index in step (2) is the range value of the comprehensive tar evaluation index Y of the existing leaf group formulation.

5. The leaflet formulation design method according to claim 4, characterized in that, The number of tobacco grades in the candidate tobacco grade sample library is 10-30.

6. The leaflet formulation design method according to claim 4, characterized in that, The number of existing leaf group formulations described in steps (1) and (2) is 2-8.

7. The leaf group formulation design method according to claim 1 or 4, characterized in that, The sensory evaluation indicators in step (3) include the degree of style prominence, strength, concentration, aroma quality, aroma quantity, penetration, harmony, sweetness, off-flavors, irritation, and aftertaste.

8. The leaf group formulation design method according to claim 1 or 4, characterized in that, The sensory evaluation process also includes eliminating substandard formulations to obtain leaf formulations with adjustable tar release that preserve aroma and reduce tar content.

9. The leaflet formulation design method according to claim 8, characterized in that, The sensory evaluation score of the non-compliant formulation is <85.

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