Prediction model for suitable storage period of cigarette box skin based on volatile component loss characteristic and application of prediction model

Abstract

The invention relates to a prediction model for the suitable storage period of cigarette box skins based on the volatile component loss characteristic and application thereof.The construction method comprises the steps that a to-be-detected sample is put into a headspace bottle to be subjected to solid-phase microextraction, and the content of volatile components is obtained through a gas chromatography-mass spectrometry detection method; and calculating the relative retention rate of the volatile component, substituting the relative retention rate into the diffusion empirical equation, and selecting the diffusion empirical equation with the maximum R2 as a prediction model. According to the method, a volatile component loss kinetic model is established for a box skin packaging material with peculiar smell, smell evaluation of the peculiar smell of the box skin is combined, and the optimal storage period of the cigarette box skin material in a specific storage environment before the cigarette box skin material is used on a machine is calculated and predicted through a kinetic equation.

Description

Technical Field

[0001] This invention relates to the field of cigarette material quality evaluation technology, and in particular to a predictive model for the suitable storage period of cigarette box wrappers based on the dispersion characteristics of volatile components and its application. Background Technology

[0002] Cigarette box wrappers are an essential material for packaging cigarettes, playing a crucial role in ensuring the moisture stability of the cigarettes and facilitating transportation and consumption. While there are many types of box wrapper materials with increasingly sophisticated designs, the production process involves ink printing on the surface of the base paper. Trace amounts of volatile components remaining from this process often cause off-odors in the packaging materials. If directly used for cigarette packaging, these odor components may diffuse and migrate into the cigarettes, affecting the sensory quality of the cigarette product. Therefore, companies often conduct olfactory evaluations of incoming cigarette box wrappers at different storage times to determine their suitability for packaging. However, this method increases the workload of daily evaluations and makes it difficult to predict the storage period of the packaging materials before packaging.

[0003] The literature reports mainly focus on the analysis or identification methods of volatile components or odor components in cigarette packs. For example, Liu Chunbo et al. used purge-trap-gas chromatography to detect 10 volatile organic compounds, including benzene series compounds, benzaldehyde, and phenol, in cigarette packaging materials (Spectroscopy Laboratory, 2008, 25(5): 801-804). Huang Dequan et al. used headspace-solid phase microextraction-gas chromatography-mass spectrometry / olfactometry to perform qualitative and quantitative analysis of volatile substances in paper samples from different manufacturers. Based on the odor characteristics and olfactory threshold of the volatile components, they located the odor components (Yunnan Chemical Industry, 2023, 50(3): 65-69). Patent CN 113341022A also discloses a method for analyzing and detecting odor components in packaging materials by using headspace solid-phase microextraction-gas chromatography-mass spectrometry-odor detector combined with recombination and deficiency tests; while patent CN118443850B uses the HeraclesNeo rapid gas phase electronic nose system to determine whether cigarette tipping paper has an odor by the signal intensity range of the odor.

[0004] Based on publicly available literature, current research focuses primarily on establishing analytical methods for volatile components or odor substances in packaging materials such as cigarette boxes. However, a scientifically effective method is lacking for predicting or determining the appropriate storage period of these packaging materials before use in testing. Therefore, developing a method for predicting or determining the storage period of cigarette box materials before use in testing is crucial for reducing daily testing workload and ensuring the quality of cigarette products. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention provides a predictive model for the optimal storage period of cigarette box wrappers based on the volatile component loss characteristics and its application. This invention establishes a kinetic model for the volatile component loss of odorous box wrapper packaging materials, combines olfactory evaluation of the box wrapper odor, and calculates the optimal storage period of cigarette box wrapper materials in a specific storage environment before machine use through kinetic equations.

[0006] To achieve this objective, the present invention adopts the following technical solution:

[0007] In a first aspect, the present invention provides a method for constructing a predictive model for the suitable storage period of cigarette box wrappers based on the dispersion characteristics of volatile components. The method includes placing the sample to be tested into a purge bottle for purge collection, obtaining the content of volatile components using gas chromatography-mass spectrometry (GC-MS), calculating the relative retention rate of the volatile components, and then substituting this into an empirical diffusion equation, selecting R0... 2 The largest diffusion empirical equation is the predictive model;

[0008] The formula for calculating the relative retention rate is VR=V t / V0; where V t Vt represents the volatile component content at storage time t, and V0 represents the volatile component content at the initial time.

[0009] The test samples include: cigarette inner lining paper with obvious odor characteristics, sampled at set time points under target storage conditions;

[0010] The time points include 0-240 h (e.g., 0 h, 6 h, 12 h, 24 h, 48 h, 72 h, 96 h, 120 h, 144 h, 168 h, 192 h, 216 h, or 240 h, etc.).

[0011] The empirical equation for diffusion is:

[0012] ;

[0013] ;

[0014] ;

[0015] ;

[0016] Where k is the dissipation rate constant, and a, b, and n are the fitting coefficients to be determined.

[0017] In this invention, odorous box covers are detected, and a prediction model is fitted using R... 2The model with the highest accuracy was selected as the evaluation criterion. This construction method is highly accurate and can accurately predict the storage time of the box shell under different conditions.

[0018] Preferably, the volatile components include any one or a combination of at least two of the following: benzene, toluene, ethylbenzene, xylene, biphenyl, ethanol, isopropanol, n-butanol, acetone, butanone, ethyl acetate, isopropyl acetate, n-propyl acetate, n-butyl acetate, propylene glycol methyl ether, cyclohexanone, 1-phenyl-2-butanone, hexanal, 2,6-di-tert-butyl-p-cresol, or 4-phenyl-1-cyclohexene.

[0019] Preferably, the storage temperature of the sample to be tested is 15℃-40℃. The 15℃-40℃ can be, for example, 15℃, 20℃, 25℃, 30℃, 35℃, or 40℃.

[0020] Preferably, the storage humidity of the sample to be tested is 20%-80%. The 20%-80% can be, for example, 20%, 30%, 40%, 50%, 60%, 70%, or 80%.

[0021] Preferably, the storage wind speed of the sample to be tested is 0-5 m / s. The 0-5 m / s can be, for example, 0 m / s, 1 m / s, 2 m / s, 3 m / s, 4 m / s, or 5 m / s.

[0022] Preferably, the purge flow rate for the purge trap is 30-60 mL / min. For example, it can be 30 mL / min, 40 mL / min, 50 mL / min, or 60 mL / min.

[0023] Preferably, the heating temperature of the purge bottle for purging and trapping is 40℃-70℃. For example, it can be 40℃, 50℃, 60℃, or 70℃.

[0024] Preferably, the purging temperature for the purging and trapping process is 30℃-80℃. For example, it can be 30℃, 40℃, 50℃, 60℃, 70℃, or 80℃.

[0025] Preferably, the purge and trapping resolution temperature is 200℃-250℃. For example, it can be 200℃, 210℃, 220℃, 230℃, 240℃, or 250℃.

[0026] Preferably, the temperature of the gas chromatograph is 270℃-290℃. For example, it can be 270℃, 275℃, 280℃, 285℃, or 290℃.

[0027] Preferably, the split ratio of the gas chromatograph is (4-6):1. The (4-6) can be, for example, 4, 4.5, 5, 5.5, or 6.

[0028] Preferably, the flow rate of the gas chromatograph is 0.5-1.5 mL / min. For example, it can be 0.5 mL / min, 0.6 mL / min, 0.8 mL / min, 1.0 mL / min, 1.2 mL / min, 1.4 mL / min, or 1.5 mL / min, etc.

[0029] Preferably, the temperature program for the gas chromatograph is as follows: increasing the temperature at a rate of 5-7°C / min to 180°C-220°C and holding for 5-15 min, then increasing the temperature at a rate of 6-10°C / min to 270-290°C and holding for 3-8 min. The 5-7°C / min rate can be, for example, 5°C / min, 5.5°C / min, 6°C / min, 6.5°C / min, or 7°C / min. The 180°C-220°C rate can be, for example, 180°C, 190°C, 200°C, 210°C, or 220°C. The 5-15 min rate can be, for example, 5 min, 6 min, 8 min, 10 min, 12 min, 14 min, or 15 min. The 6-10°C / min rate can be, for example, 6°C / min, 7°C / min, 8°C / min, 9°C / min, or 10°C / min. The 270-290℃ can be, for example, 270℃, 275℃, 280℃, 285℃, or 290℃. The 3-8 min can be, for example, 3 min, 4 min, 5 min, 6 min, 7 min, or 8 min.

[0030] Preferably, the electron energy of the mass spectrometer is 65-75 eV. For example, it can be 65 eV, 66 eV, 68 eV, 70 eV, 72 eV, 74 eV, or 75 eV.

[0031] Preferably, the ion source temperature is 220-240℃. For example, it can be 220℃, 225℃, 230℃, 235℃, or 240℃.

[0032] Preferably, the temperature of the transmission line is 270-290°C. For example, it can be 270°C, 275°C, 280°C, 285°C, or 290°C.

[0033] Secondly, the present invention provides a prediction model constructed according to the method for constructing a prediction model of the suitable storage period of cigarette box wrappers based on the volatile component loss characteristics described in the first aspect.

[0034] Thirdly, the present invention provides a method for predicting the suitable storage period of cigarette box wrappers based on the volatile component loss characteristics, wherein the prediction method includes using the prediction model described in the second aspect for prediction.

[0035] Preferably, the prediction method includes placing the sample to be tested into a purge bottle for purge and trapping, using a gas chromatography-mass spectrometry (GC-MS) detection method to obtain the content of volatile components, and then using a prediction model constructed under the same storage conditions to calculate the storage time.

[0036] Preferably, the formula for calculating the relative retention rate in the prediction model is VR=V c / V0; where V c V0 represents the critical value for volatile components, and V0 represents the content of volatile components at the initial time.

[0037] This invention employs the aforementioned predictive model under identical storage conditions, combined with olfactory evaluation of cigarette box odor, and uses kinetic equations to calculate and predict the optimal (shortest) storage period of cigarette box material under specific storage conditions before use in machinery. This invention provides methodological support for the scientific and accurate determination of the optimal storage period for cigarette box materials with odors.

[0038] Preferably, the critical value V c Methods of obtaining this information include direct smelling.

[0039] Preferably, the direct smelling method includes: a smelling group of 7 or more members, where more than half of the members consider the average content of volatile components in the sample to be below the perceived level as the threshold value V for usability on the machine. c .

[0040] Preferably, the volatile components include any one or a combination of at least two of the following: benzene, toluene, ethylbenzene, xylene, biphenyl, ethanol, isopropanol, n-butanol, acetone, butanone, ethyl acetate, isopropyl acetate, n-propyl acetate, n-butyl acetate, propylene glycol methyl ether, cyclohexanone, 1-phenyl-2-butanone, hexanal, 2,6-di-tert-butyl-p-cresol, or 4-phenyl-1-cyclohexene.

[0041] Preferably, the storage temperature of the sample to be tested is 15℃-40℃. The 15℃-40℃ can be, for example, 15℃, 20℃, 25℃, 30℃, 35℃, or 40℃.

[0042] Preferably, the storage humidity of the sample to be tested is 20%-80%. The 20%-80% can be, for example, 20%, 30%, 40%, 50%, 60%, 70%, or 80%.

[0043] Preferably, the storage wind speed of the sample to be tested is 0-5 m / s. The 0-5 m / s can be, for example, 0 m / s, 1 m / s, 2 m / s, 3 m / s, 4 m / s, or 5 m / s.

[0044] Preferably, the purge flow rate for the purge trap is 30-60 mL / min. For example, it can be 30 mL / min, 40 mL / min, 50 mL / min, or 60 mL / min.

[0045] Preferably, the heating temperature of the purge bottle for purging and trapping is 40℃-70℃. For example, it can be 40℃, 50℃, 60℃, or 70℃.

[0046] Preferably, the purging temperature for the purging and trapping process is 30℃-80℃. For example, it can be 30℃, 40℃, 50℃, 60℃, 70℃, or 80℃.

[0047] Preferably, the purge and trapping resolution temperature is 200℃-250℃. For example, it can be 200℃, 210℃, 220℃, 230℃, 240℃, or 250℃.

[0048] Preferably, the temperature of the gas chromatograph is 270℃-290℃. For example, it can be 270℃, 275℃, 280℃, 285℃, or 290℃.

[0049] Preferably, the split ratio of the gas chromatograph is (4-6):1. The (4-6) can be, for example, 4, 4.5, 5, 5.5, or 6.

[0050] Preferably, the flow rate of the gas chromatograph is 0.5-1.5 mL / min. For example, it can be 0.5 mL / min, 0.6 mL / min, 0.8 mL / min, 1.0 mL / min, 1.2 mL / min, 1.4 mL / min, or 1.5 mL / min, etc.

[0051] Preferably, the temperature program for the gas chromatograph is as follows: increasing the temperature at a rate of 5-7°C / min to 180°C-220°C and holding for 5-15 min, then increasing the temperature at a rate of 6-10°C / min to 270-290°C and holding for 3-8 min. The 5-7°C / min rate can be, for example, 5°C / min, 5.5°C / min, 6°C / min, 6.5°C / min, or 7°C / min. The 180°C-220°C rate can be, for example, 180°C, 190°C, 200°C, 210°C, or 220°C. The 5-15 min rate can be, for example, 5 min, 6 min, 8 min, 10 min, 12 min, 14 min, or 15 min. The 6-10°C / min rate can be, for example, 6°C / min, 7°C / min, 8°C / min, 9°C / min, or 10°C / min. The 270-290℃ can be, for example, 270℃, 275℃, 280℃, 285℃, or 290℃. The 3-8 min can be, for example, 3 min, 4 min, 5 min, 6 min, 7 min, or 8 min.

[0052] Preferably, the electron energy of the mass spectrometer is 65-75 eV. For example, it can be 65 eV, 66 eV, 68 eV, 70 eV, 72 eV, 74 eV, or 75 eV.

[0053] Preferably, the ion source temperature is 220-240℃. For example, it can be 220℃, 225℃, 230℃, 235℃, or 240℃.

[0054] Preferably, the temperature of the transmission line is 270-290°C. For example, it can be 270°C, 275°C, 280°C, 285°C, or 290°C.

[0055] Fourthly, the present invention provides the application of the prediction model described in the second aspect or the prediction method for the suitable storage period of cigarette box wrappers based on the volatile component loss characteristics described in the third aspect in predicting the suitable storage period of cigarette box wrappers.

[0056] Compared with the prior art, the present invention has at least the following beneficial effects:

[0057] 1. The prediction model constructed in this invention, when the critical value of volatile components is determined, calculates the suitable storage period of the box wrapping paper with any initial volatile content under specific storage conditions, thereby determining the optimal (shortest) storage period of the cigarette box wrapping material before it is used on the machine.

[0058] 2. The prediction method of this invention provides a framework and approach for predicting the storage period of cigarette box wrapping materials with odors, facilitating the rational warehousing and production scheduling of purchased box wrapping paper. The method is highly accurate and scientifically reliable. It can predict the suitable storage period of box wrapping materials with different initial volatile substance contents under different storage conditions, and the method has strong versatility. Attached Figure Description

[0059] Figure 1 This is a graph showing the change in volatile component content over storage time. Detailed Implementation

[0060] The technical solution of the present invention will be further described below with reference to the accompanying drawings and specific embodiments. However, the following examples are merely simplified examples of the present invention and do not represent or limit the scope of protection of the present invention. The scope of protection of the present invention is determined by the claims.

[0061] Example 1

[0062] This embodiment calculates the relative retention rate of cigarette box wrappers.

[0063] The sample tested in this embodiment was cigarette box wrapping paper A of a certain brand with a noticeable odor. The storage conditions for this cigarette box wrapping paper were a storage temperature of 30°C, an ambient relative humidity of 50%, and an air velocity of 0.2 m / s. The storage times of the samples were 0 h, 6 h, 12 h, 24 h, 48 h, 72 h, 96 h, 120 h, 144 h, 168 h, 192 h, 216 h, and 240 h, and the content of each volatile component in the samples was determined.

[0064] Samples were extracted from the middle of the cigarette box wrapping paper and cut into 10 cm × 6 cm pieces. These pieces were then placed in a purge bottle. The purge-trap-GC-MS analytical method was optimized based on the total peak area of ​​the volatile components. The volatile components of the box wrapping paper used for optimizing the analytical conditions were benzene, toluene, ethylbenzene, xylene, biphenyl, ethanol, isopropanol, n-butanol, acetone, butanone, ethyl acetate, isopropyl acetate, n-propyl acetate, n-butyl acetate, propylene glycol methyl ether, cyclohexanone, 1-phenyl-2-butanone, hexanal, 2,6-di-tert-butyl-p-cresol, and 4-phenyl-1-cyclohexene.

[0065] The analysis was performed using a purge-trap-gas chromatography-mass spectrometry (GC-MS) method, with a purge flow rate of 45 mL / min, a purge bottle heating temperature of 50℃, a purge temperature of 45℃, and a desorption temperature of 220℃.

[0066] The gas chromatography detection conditions were as follows: column: HP-5MS (30 m × 250 μm × 0.25 μm); injection port temperature: 280℃; split ratio: 5:1; carrier gas: He, flow rate 1.0 mL / min; temperature program: ramp to 200℃ at a rate of 6℃ / min and hold for 10 min, then ramp to 280℃ at a rate of 8℃ / min and hold for 5 min. Mass spectrometry conditions: EI source, electron energy: 70 eV; ion source temperature: 230℃; quadrupole temperature: 150℃; transfer line temperature: 280℃.

[0067] Based on the above results of volatile component content determination, the relative retention rates of volatile components at different storage times were calculated, as shown in Table 1.

[0068] Table 1

[0069]

[0070] Based on the above results, such as Figure 1 As shown, the content of volatile components decreases significantly with increasing storage time.

[0071] Example 2

[0072] This embodiment constructs a prediction model.

[0073] The sample tested in this embodiment was the outer packaging paper of a cigarette box of a certain brand with a noticeable odor. The storage conditions for this cigarette box were: storage temperature of 30°C, relative humidity of 50%, and wind speed of 0.2 m / s. The content of volatile components in the samples was measured at the start time and after storage for 6, 12, 24, 48, 72, 96, 120, 144, 168, 192, 216, and 240 hours.

[0074] The 10 cm × 6 cm sample was cut into small pieces and placed in a purge bottle. The purge-trap-GC-MS analytical method was optimized based on the total peak area of ​​the volatile components. The volatile components in the cartridge used to optimize the analytical conditions were benzene, toluene, ethylbenzene, xylene, biphenyl, ethanol, isopropanol, n-butanol, acetone, butanone, ethyl acetate, isopropyl acetate, n-propyl acetate, n-butyl acetate, propylene glycol methyl ether, cyclohexanone, 1-phenyl-2-butanone, hexanal, 2,6-di-tert-butyl-p-cresol, and 4-phenyl-1-cyclohexene.

[0075] The analysis was performed using a purge-trap-gas chromatography-mass spectrometry (GC-MS) method, with a purge flow rate of 45 mL / min, a purge bottle heating temperature of 50℃, a purge temperature of 45℃, and a desorption temperature of 220℃.

[0076] The gas chromatography detection conditions were as follows: column: HP-5MS (30 m × 250 μm × 0.25 μm); injection port temperature: 280℃; split ratio: 5:1; carrier gas: He, flow rate 1.0 mL / min; temperature program: ramp to 200℃ at a rate of 6℃ / min and hold for 10 min, then ramp to 280℃ at a rate of 8℃ / min and hold for 5 min. Mass spectrometry conditions: EI source, electron energy: 70 eV; ion source temperature: 230℃; quadrupole temperature: 150℃; transfer line temperature: 280℃.

[0077] The initial volatile matter content of the sample was determined to be 827.6 μg / m². By detecting the volatile matter content of samples taken at different time points afterward, the relative retention rate was calculated and substituted into four diffusion equations to obtain four prediction models. The model fitting results are shown in Table 2 below, where the R-squared values ​​of the four prediction models are... 2 Select based on the above content This serves as a prediction model for the box skin under environmental conditions of storage temperature 30℃, relative humidity 50%, and wind speed 0.2 m / s.

[0078] Table 2

[0079]

[0080] Example 3

[0081] This embodiment predicts the storage time.

[0082] This embodiment uses the method of Example 2 for testing, specifically testing a brand of cigarette box wrapping paper A stored under environmental conditions of 30°C, 50% relative humidity, and 0.2 m / s wind speed. The test results show that the volatile matter content of the wrapping paper A is 827.6 micrograms per square meter.

[0083] The odor of the sample was evaluated using a direct olfactory method. The average content of volatile components when the olfactory odor characteristics of the sample were below the perceived level under different temperature conditions was taken as the critical value for use on the instrument. The critical value V c =289.2 micrograms per square meter. Substituting this into the prediction model constructed in Example 2, it can be concluded that the optimal (shortest) storage period for the box wrapping paper A before use on the machine is 205.96 hours.

[0084] Example 4

[0085] This embodiment verifies the accuracy of the prediction results.

[0086] To verify the accuracy of the above-mentioned storage time prediction, the cigarette box packaging paper A of a certain brand in Example 3 was stored under environmental conditions of 30°C, 50% relative humidity, and 0.2 m / s wind speed. The storage time of the sample was verified at different time points using the direct olfactory evaluation method. Seven volunteers participated in the experiment. The qualitative and quantitative description results of the odor intensity and type before and after storage are shown in Table 3.

[0087] Table 3

[0088]

[0089] Example 5

[0090] This embodiment performs multi-sample detection.

[0091] This embodiment provides a method for determining the suitable storage period of cigarette box wrappers based on the volatile component loss characteristics. For different batches of cigarette box wrapper paper B with odor characteristics (different batches of box wrappers are named B1 / B2 / B3 / B4), the optimal storage period is determined at a storage temperature of 30°C, an ambient relative humidity of 50%, and a wind speed of 0.2 m / s, and sensory verification is performed.

[0092] The volatile component content at the initial time of detection and samples after storage for 6, 12, 24, 48, 72, 96, 120, 144, 168, 192, 216, and 240 hours were tested. The method of Example 3 was used for detection. The detected volatile components included benzene, toluene, xylene, acetone, butanone, ethyl acetate, isopropyl acetate, n-butyl acetate, propylene glycol methyl ether, cyclohexanone, 1-phenyl-2-butanone, hexanal, 2,6-di-tert-butyl-p-cresol, and 4-phenyl-1-cyclohexene. The initial volatile component content in different batches of box packaging paper is shown in Table 3.

[0093] And a prediction model was constructed, with R values ​​for the four diffusion equations. 2 middle R in 2 The highest value is 0.996, so choose... As a prediction model, the model parameters are: The odor of the sample was evaluated using a direct olfactory method. The average content of volatile components when the olfactory odor characteristics of the sample were below the perceived level under different temperature conditions was taken as the threshold value for use on the instrument. The threshold value V c =257.5 micrograms per square meter. The simulated storage time was calculated and is shown in Table 4.

[0094] Table 4

[0095]

[0096] In summary, this invention establishes a kinetic model for the dispersion of volatile components in cigarette box packaging materials with odors, combines olfactory evaluation of the box odor, and uses kinetic equations to calculate and predict the optimal storage period of cigarette box packaging materials in a specific storage environment before use.

[0097] The applicant declares that the above description is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Those skilled in the art should understand that any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention fall within the protection and disclosure scope of the present invention.

Claims

1. A method for constructing a prediction model for the appropriate storage period of a cigarette case based on the dissipation characteristics of volatile components, characterized by, The construction method comprises the following steps: placing a sample to be tested into a purge bottle for purging and trapping, using a gas chromatography-mass spectrometry detection method to obtain the content of volatile components, calculating the relative retention rate of the volatile components, bringing the relative retention rate into an empirical diffusion equation, selecting R 2 The maximum empirical diffusion equation is a prediction model. The formula for calculating the relative retention rate is VR=V t / V0; wherein V t is the volatile component content value at time t, and V0is the volatile component content value at the start time. The test samples include: tobacco inner lining paper with obvious odor characteristics placed under target storage conditions and sampled at set time points; The empirical equation for diffusion is: ； ； ； ； Where k is the dissipation rate constant, and a, b, and n are the fitting coefficients to be determined.

2. The method for constructing the prediction model of the suitable storage period of the cigarette case cover based on the dissipation characteristics of the volatile components according to claim 1, characterized in that, The volatile components include any one or a combination of at least two of the following: benzene, toluene, ethylbenzene, xylene, biphenyl, ethanol, isopropanol, n-butanol, acetone, butanone, ethyl acetate, isopropyl acetate, n-propyl acetate, n-butyl acetate, propylene glycol methyl ether, cyclohexanone, 1-phenyl-2-butanone, hexanal, 2,6-di-tert-butyl-p-cresol, or 4-phenyl-1-cyclohexene. Preferably, the storage temperature of the sample to be tested is 15℃-40℃; Preferably, the storage humidity of the sample to be tested is 20%-80%; Preferably, the storage wind speed of the sample to be tested is 0-5 m / s.

3. The method for constructing a prediction model for the suitable storage period of a cigarette case cover based on the dissipation characteristics of volatile components according to claim 1 or 2, characterized in that, The purge flow rate for the purge trap is 30-60 mL / min; Preferably, the heating temperature of the purge bottle for purging and trapping is 40℃-70℃; Preferably, the purging temperature for the purging and trapping process is 30℃-80℃; Preferably, the purge and trapping temperature is 200℃-250℃.

4. The method for constructing a prediction model of the suitable storage period of a cigarette case cover based on the dissipation characteristics of volatile components according to any one of claims 1 to 3, characterized in that, The temperature of the gas chromatograph is 270℃-290℃; Preferably, the split ratio of the gas chromatograph is (4-6):1; Preferably, the flow rate of the gas chromatograph is 0.5-1.5 mL / min; Preferably, the temperature program for the gas chromatograph is as follows: increase the temperature to 180℃-220℃ at a rate of 5-7℃ / min and hold for 5-15 min, then increase the temperature to 270-290℃ at a rate of 6-10℃ / min and hold for 3-8 min.

5. The method for constructing a prediction model of the suitable storage period of a cigarette case cover based on the dissipation characteristics of volatile components according to any one of claims 1 to 4, characterized in that, The electron energy of the mass spectrometer is 65-75 eV; Preferably, the ion source temperature is 220-240℃; Preferably, the temperature of the transmission line is 270-290℃.

6. A prediction model constructed using a method according to any one of claims 1-5, based on the volatile component loss characteristics, for predicting the suitable storage period of cigarette box wrappers.

7. A method for predicting the appropriate storage period of a cigarette pack cover based on the dissipation characteristics of volatile components, characterized by, The prediction method includes making predictions using the prediction model described in claim 6.

8. The method according to claim 7, wherein the method is characterized by The prediction method includes placing the sample to be tested into a purge bottle for purge and trapping, using gas chromatography-mass spectrometry to obtain the content of volatile components, and then using a prediction model constructed under the same storage conditions to calculate the storage time. Preferably, the formula for calculating the relative retention rate in the prediction model is VR=V c / V0; wherein V c is the critical value of volatile components, V0is the volatile component content value at the initial time; Preferably, the volatile components include any one or a combination of at least two of the following: benzene, toluene, ethylbenzene, xylene, biphenyl, ethanol, isopropanol, n-butanol, acetone, butanone, ethyl acetate, isopropyl acetate, n-propyl acetate, n-butyl acetate, propylene glycol methyl ether, cyclohexanone, 1-phenyl-2-butanone, hexanal, 2,6-di-tert-butyl-p-cresol, or 4-phenyl-1-cyclohexene. Preferably, the method for obtaining the critical value includes the direct smelling method; Preferably, the direct smelling method includes: a smelling group of 7 or more members, where more than half of the members consider the average content of volatile components when the olfactory odor characteristics of the sample are lower than the perception level as the critical value for use on the machine; Preferably, the storage temperature of the sample to be tested is 15-40℃; Preferably, the storage humidity of the sample to be tested is 20-80%; Preferably, the storage wind speed of the sample to be tested is 0-5 m / s.

9. The method according to claim 8, wherein the method is characterized by, The purge flow of the purge and trap is 30-60 mL / min; Preferably, the purge bottle heating temperature of the purge and trap is 40-70℃; Preferably, the purge temperature of the purge and trap is 30-80℃; Preferably, the desorption temperature of the purge and trap is 200-250℃; Preferably, the temperature of the gas chromatograph is 270-290℃; Preferably, the split ratio of the gas chromatograph is (4-6):1; Preferably, the flow rate of the gas chromatograph is 0.5-1.5 mL / min; Preferably, the temperature program of the gas chromatograph is: heating at a rate of 5-7℃ / min to 180-220℃ and holding for 5-15 min, heating at a rate of 6-10℃ / min to 270-290℃ and holding for 3-8 min; Preferably, the electron energy of the mass spectrometer is 65-75 eV; Preferably, the ion source temperature is 220-240℃; Preferably, the transfer line temperature is 270-290℃.

10. Use of the prediction model of claim 6 or the prediction method of predicting the suitable storage period of cigarette case skin based on the volatile component dispersion characteristics of any one of claims 7-9 in predicting the suitable storage period of cigarette case skin.

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