Method for estimating reconstituted tobacco blending ratio in cut filler based on gab model

Abstract

The application is based on a method for estimating the proportion of reconstituted tobacco in mixed cut tobacco according to the GAB model, the mixed cut tobacco comprising pure tobacco and reconstituted tobacco, the method comprising: establishing a regression equation for the proportion of reconstituted tobacco in the mixed cut tobacco and measuring the proportion of reconstituted tobacco in the mixed cut tobacco to be measured according to the regression equation, the establishment of the regression equation for the proportion of reconstituted tobacco in the mixed cut tobacco comprising: measuring the moisture content of the sample on a dry basis under three different environmental humidities selected; obtaining the characteristic parameters c, k and of the GAB model and the corresponding monolayer moisture content m according to the GAB model; obtaining the regression equation; and through practical verification, the method has high accuracy, overcomes the inconvenience of manually sorting and calculating the proportion of reconstituted tobacco in the prior art, and facilitates the research and improvement of the utilization effect of reconstituted tobacco.

Description

TECHNICAL FIELD

[0001] The application relates to a method for estimating the blending ratio of reconstituted tobacco leaves based on a GAB model and belongs to the tobacco technical field. BACKGROUND

[0002] Reconstituted tobacco leaves are made of tobacco leaf fragments, tobacco dust and tobacco stems as main raw materials and are indispensable components of cigarette formula raw materials after reconstitution.

[0003] In the cigarette processing process, reconstituted tobacco leaves are blended in the form of leaf blending in proportion, and the blending ratio and uniformity have great influence on the precision control of cigarette formula and the stability of sensory quality. However, there is no method and model for quickly and effectively representing and evaluating the actual blending ratio of reconstituted tobacco leaves in finished cigarette tobacco and cigarettes, and the actual blending ratio in the cigarette processing process relies on manual sorting calculation. Because the sorting process is greatly influenced by subjectivity, combined with the fact that the reconstituted tobacco leaves have a fast moisture absorption characteristic, the moisture of the reconstituted tobacco leaves is obviously lost in the sorting process, and the timeliness of detection and the accuracy of the detection result are insufficient, so that the reconstituted tobacco leaves are limited in processing flow and technical optimization, and the utilization value thereof in the cigarette processing process cannot be maximized.

[0004] In view of this, the application is proposed. SUMMARY

[0005] The application aims to provide a method for calculating the blending ratio of reconstituted tobacco leaves, so as to solve the technical problems of insufficient timeliness and accuracy in the prior art.

[0006] In order to achieve the application purpose of the present application, the following scheme is adopted in the present application:

[0007] The application provides a method for estimating the blending ratio of reconstituted tobacco leaves in mixed tobacco leaves based on a GAB model, and the mixed tobacco leaves include pure tobacco leaves and reconstituted tobacco leaves.

[0008] (1) establishing a regression equation of the reconstituted tobacco leaves blended in the mixed tobacco leaves

[0009] (a) measuring the dry basis moisture content of the samples under three selected different environmental humidities

[0010] The above pure tobacco leaves and the above reconstituted tobacco leaves are mixed in at least four proportions to obtain at least four samples, and each sample is divided into three parts. Under three different environmental humidities ;

[0011] (b) Based on the GAB model, obtain the characteristic parameters c, k, and the corresponding monolayer water content m in the GAB model.

[0012] Each sample was subjected to three different ambient humidity levels. and the corresponding dry basis moisture content Substituting these values ​​into the GAB model of formula (1),

[0013] (Formula 1) yields the corresponding c1, k1, and m1; c2, k2, and m2; c3, k3, and m3; c4, k4, and m4; ... for each sample.

[0014] (Formula 2);

[0015] (Formula 3);

[0016] Where c0 and k0 are the average values ​​of the characteristic parameters, and n is the number of samples. For ambient humidity, m e In order to be in Dry basis moisture content of blended tobacco shreds under ambient humidity conditions;

[0017] Substituting the obtained c0 and k0 into formula (1) yields formula (4).

[0018] (Formula 4);

[0019] (c) Obtain the regression equation

[0020] The blending ratios φ of the above-mentioned at least four reconstituted tobacco shreds are fitted with their corresponding selected monolayer water contents m1, m2, m3, m4... and the fitting determination coefficient R is obtained through the regression equation φ=Am+B-- Formula (5). 2 A and B are closest to 1, where: φ is the proportion of reconstituted tobacco in each type of blended tobacco, and m is the water content of the monolayer;

[0021] (ii) Calculate the proportion of reconstituted tobacco blended in the mixed tobacco shreds according to the regression equation.

[0022] The mixed tobacco to be measured was subjected to moisture balance under ambient humidity conditions, and the ambient humidity was recorded. and in Moisture content (m) of blended tobacco under ambient humidity conditions e m is obtained through formula (4), and then the blending ratio φ of the reconstituted tobacco to be tested is obtained according to formula (5).

[0023] The present invention provides a method for estimating the proportion of reconstituted tobacco in blended tobacco based on the GAB model, wherein: the blended tobacco samples need to be equilibrated for more than 15 days in an environment with a temperature of 22°C and a relative humidity of 60%, and then each sample is divided into three equal parts.

[0024] The present invention provides a method for estimating the blending ratio of reconstituted tobacco in mixed tobacco based on the GAB model, wherein the blending ratio of reconstituted tobacco in the mixed tobacco sample is 5%-20% of the weight of the mixed tobacco.

[0025] The present invention provides a method for estimating the proportion of reconstituted tobacco in blended tobacco based on the GAB model, wherein the temperature under different ambient humidity conditions is 25°C.

[0026] The present invention provides a method for estimating the blending ratio of reconstituted tobacco in blended tobacco based on the GAB model, wherein: in step (a), each sample is subjected to three different environmental humidity conditions. The humidity difference between them is at least 18%.

[0027] The method for estimating the proportion of reconstituted tobacco in blended tobacco based on the GAB model of the present invention can be applied to the evaluation of the proportion of reconstituted tobacco in dried tobacco, finished tobacco, and finished cigarettes.

[0028] The method of estimating the proportion of reconstituted tobacco in blended tobacco based on the GAB model of the present invention can quickly determine the content of reconstituted tobacco in blended tobacco, and is simple to operate and accurate in measurement results.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] This invention obtains a regression equation between the blending ratio and the monolayer moisture content of tobacco shreds under different environmental humidity conditions through regression analysis, providing a reference for the study of the utilization effect of reconstituted tobacco shreds in the cigarette processing process.

[0031] This invention predicts the blending ratio of reconstituted tobacco using the GAB model and regression equation, avoiding the lengthy process of traditional manual sorting. The prediction method is simple and quick to operate, and the results of the blending ratio are highly accurate with small absolute error and less affected by human factors. It can facilitate subsequent research and effect verification of reconstituted tobacco processing technology and has very good applicability. Detailed Implementation

[0032] To provide a better understanding of the structural features and effects of the present invention, the technical solution of the present invention will be clearly and completely described below in conjunction with embodiments. The implementation steps are as follows:

[0033] This invention discloses a method for estimating the blending ratio of reconstituted tobacco in a mixed tobacco shredded product based on the GAB model. The mixed tobacco shredded product includes pure tobacco shredded product and reconstituted tobacco shredded product. The method includes the following steps:

[0034] (I) Establishing a regression equation for blending reconstituted tobacco into mixed tobacco shreds

[0035] (a) Measure the dry basis moisture content of the samples under the three selected different ambient humidity conditions.

[0036] 1000g each of brand A pure tobacco leaves and type B reconstituted tobacco leaves, produced on the cigarette processing line of a certain cigarette factory, were selected. The pure tobacco leaves were divided into four equal portions, and the reconstituted tobacco leaves were mixed with the pure tobacco leaves at blending ratios of 5%, 10%, 15%, and 20% respectively, resulting in four samples. The mixed tobacco samples were then equilibrated for more than 15 days in an environment with a temperature of 22℃ and a relative humidity of 60%. Each of these samples was then divided into three equal portions and blended at 30%, 50%, and 70% relative humidity. At a temperature of 25°C, moisture balance was performed on each of the above samples, and the dry basis moisture content of each sample was measured. ;

[0037] (b) Based on the GAB model, obtain the characteristic parameters c, k, and the corresponding monolayer water content m in the GAB model.

[0038] Each sample was subjected to three different ambient humidity levels. and the corresponding dry basis moisture content Substituting these values ​​into the GAB model of formula (1),

[0039] (Formula 1) yields the corresponding values ​​for each sample: c1=0.6944, k1=0.9883, and m1=9.54895; c2=0.7556, k2=0.9914, and m2=9.06196; c3=0.8851, k3=0.9966, and m3=8.45294; c4=1.1182, k4=1.0028, and m4=7.65644.

[0040] (Formula 2);

[0041] (Formula 3);

[0042] Where c0=0.86331 and k0=0.9945675 are the average values ​​of the characteristic parameters, and n=4 is the number of samples. For ambient humidity, m e In order to be in The dry basis moisture content of the mixed tobacco shreds under ambient humidity conditions; substituting the obtained c0 and k0 into formula (1) yields formula (4).

[0043] (Formula 4);

[0044] (c) Obtain the regression equation

[0045] The blending ratios φ of the above-mentioned at least four reconstituted tobacco shreds, 5%, 10%, 15%, and 20%, were fitted with the corresponding selected monolayer water contents of 9.54895, 9.06196, 8.45294, and 7.65644. The fitting coefficient R closest to 1 was obtained by using the regression equation φ=Am+B-- Formula (5). 2 A = -7.5796 and B = 78.21, where: φ is the proportion of reconstituted tobacco in each type of blended tobacco, m is the monolayer water content, thus obtaining φ = -7.5796m0 + 78.21, R 2 =0.9982;

[0046] (ii) Calculate the proportion of reconstituted tobacco blended in the mixed tobacco shreds according to the regression equation.

[0047] The mixed tobacco to be measured was subjected to moisture balance under ambient humidity conditions, and the ambient humidity was recorded. and in Moisture content (m) of blended tobacco under ambient humidity conditions e m is obtained through formula (4), and then the blending ratio φ of the reconstituted tobacco to be tested is obtained according to formula (5).

[0048] Example 1

[0049] Pure tobacco shreds of brand A and reconstituted tobacco shreds of type B were selected, with 10% of reconstituted tobacco shreds added to the pure tobacco shreds. The results of manual sorting and the determination results of the method of the present invention were compared.

[0050] 1. Select 500g of pure tobacco shreds of brand A after drying and balancing the moisture content, and 50g of reconstituted tobacco shreds of type B. Mix the pure tobacco shreds and reconstituted tobacco shreds evenly, divide them into two equal portions, pile them up naturally and seal them for later use.

[0051] 2. The first sample was tested by manual sorting, and the proportion of reconstituted tobacco blending was found to be 8.48%.

[0052] 3. In the same humidity environment as manual sorting methods Under the given conditions, the moisture content of the mixed tobacco shreds in the second sample is to be measured on a dry basis, m0 = 9.06. Substituting c0 = 0.86331 and k0 = 0.9945675 into the following formula,

[0053] use Formula (4) is used to obtain the monolayer water content m of the second sample to be measured, and the regression equation obtained above is used to obtain φ = 9.52%.

[0054] If the theoretical blending ratio of 10% is taken as the true value, the prediction error between the result measured by the method and the true value is 4.8%, and the absolute error is 0.48%; the prediction error between the artificial detection result and the true value is 15.2%, and the absolute error is 1.52%.

[0055] The results of Example 1 show that there is a significant difference between the artificial detection result and the true value, and the blending ratio of the reconstituted tobacco measured by the method is closer to the true value.

[0056] Example 2

[0057] The above A brand pure tobacco and B type reconstituted tobacco are selected, the pure tobacco is blended with 0% reconstituted tobacco, and the method is used to measure the result.

[0058] 1. Select 500g of A brand pure tobacco after moisture equilibrium, divide the above pure tobacco into two parts, and seal for use.

[0059] 2. The first sample to be measured is detected by artificial sorting, and the blending ratio of the reconstituted tobacco is 0%.

[0060] 3. The same environment humidity a w Under the condition, the dry basis moisture content m0 of the mixed tobacco of the second sample to be measured is 6.47, and c0 = 0.86331 and k0 = 0.9945675 are substituted into the following formula,

[0061] Formula (4) is used to obtain the monolayer water content m of the second sample to be measured, and the regression equation obtained above is used to obtain φ = 29.17%.

[0062] If the theoretical blending ratio of 0% is taken as the true value, the absolute error between the result measured by the method and the true value is 29.17%.

[0063] The results of the above two examples show that the results of Example 1 evaluated by the method are significantly better than the results of Example 2 evaluated by the method, and thus it can be seen that the method can indirectly evaluate the blending ratio of the reconstituted tobacco, and the prediction error of Example 2 without blending reconstituted tobacco is significantly increased. The method is more superior to the artificial sorting result when the blending ratio of the reconstituted tobacco is between 5-25%.

[0064] ​The above is only a specific embodiment of the present application, but is not a limitation of the present application, and a person skilled in the art can modify and improve according to the basic idea of the present application, but all other embodiments obtained without creative labor are within the protection scope of the present application.

Claims

1. A method for estimating the proportion of reconstituted tobacco in blended tobacco based on the GAB model, wherein the blended tobacco includes: Pure tobacco and reconstituted tobacco, characterized in that: the method includes the following steps: (I) Establishing a regression equation for blending reconstituted tobacco into mixed tobacco shreds (a) Measure the dry basis moisture content of the samples under the three selected different ambient humidity conditions. The pure tobacco shreds and the reconstituted tobacco shreds were mixed in at least four different ratios to obtain at least four samples. Each sample was then divided into three equal portions and subjected to three different environmental humidity levels. The dry basis moisture content of each sample was measured. ; (b) Based on the GAB model, obtain the characteristic parameters c, k, and the corresponding monolayer water content m in the GAB model. Each sample was subjected to three different ambient humidity levels. and the corresponding dry basis moisture content Substituting these values ​​into the GAB model of formula (1), (Formula 1) yields the corresponding c1, k1, and m1; c2, k2, and m2; c3, k3, and m3; c4, k4, and m4; ... for each sample. (Formula 2); (Formula 3); Where c0 and k0 are the average values ​​of the characteristic parameters, and n is the number of samples. For ambient humidity, m e In order to be in Dry basis moisture content of blended tobacco shreds under ambient humidity conditions; Substituting the obtained c0 and k0 into formula (1) yields formula (4). (Formula 4); (c) Obtain the regression equation The blending ratios φ of the above-mentioned at least four reconstituted tobacco shreds are fitted with their corresponding selected monolayer water contents m1, m2, m3, m4... and the fitting determination coefficient R is obtained through the regression equation φ=Am+B-- Formula (5). 2 A and B are closest to 1, where: φ is the proportion of reconstituted tobacco in each type of blended tobacco, and m is the water content of the monolayer; (ii) Calculate the proportion of reconstituted tobacco blended in the mixed tobacco shreds according to the regression equation. The mixed tobacco to be measured was subjected to moisture balance under ambient humidity conditions, and the ambient humidity was recorded. and in Moisture content (m) of blended tobacco under ambient humidity conditions e m is obtained through formula (4), and then the blending ratio φ of the reconstituted tobacco to be tested is obtained according to formula (5).

2. The method for estimating the proportion of reconstituted tobacco in blended tobacco based on the GAB model according to claim 1, characterized in that: The mixed tobacco samples need to be equilibrated for more than 15 days in an environment with a temperature of 22°C and a relative humidity of 60%, and then each sample is divided into three equal parts.

3. The method for estimating the proportion of reconstituted tobacco in blended tobacco based on the GAB model according to claim 2, characterized in that: The proportion of reconstituted tobacco in the mixed tobacco sample is 5%-20% of the weight of the mixed tobacco.

4. The method for estimating the proportion of reconstituted tobacco in blended tobacco based on the GAB model according to claim 3, characterized in that: The temperature under different ambient humidity conditions is 25℃.

5. The method for estimating the proportion of reconstituted tobacco in blended tobacco based on the GAB model according to claim 4, characterized in that: In step (a), each sample was subjected to three different ambient humidity levels. The humidity difference between them is at least 18%.

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