Method and apparatus for determination of tobacco extract stability

Abstract

This invention belongs to the technical field of tobacco extract stability determination, specifically relating to a method and apparatus for determining the stability of tobacco extracts. The disclosed method includes: acquiring the optical spectrum and chemical parameters of the tobacco extract to be tested; performing similarity analysis based on the optical spectrum to obtain a first similarity; performing similarity analysis based on the chemical parameters to obtain a second similarity; fitting the first and second similarities to obtain a total similarity; and manually evaluating the tobacco extract to be tested for which the total similarity reaches a preset value to obtain the stability of the tobacco extract. This method effectively improves the accuracy of tobacco extract stability determination, increases the efficiency of stability determination, and saves time and costs.

Description

Technical Field

[0001] This invention belongs to the field of tobacco extract stability technology, specifically relating to a method and apparatus for determining the stability of tobacco extracts. Background Technology

[0002] The quality of tobacco extracts can be determined by measuring physical parameters such as refractive index, viscosity, density, conductivity, and pH value, or by artificial smoking evaluation. After transportation and long-term storage, the quality of tobacco extracts can be assessed using these methods to determine if it has changed.

[0003] Although advancements in storage technology have significantly improved the storage methods for tobacco extracts, extending shelf life and better preserving their active ingredients and properties, physical parameter characterization methods are often limited in accuracy. Furthermore, even if a single physical parameter remains unchanged, the flavor of the tobacco extract may have altered. Manual tasting tests are inefficient, time-consuming, costly, and lack accuracy.

[0004] Therefore, it is of great significance to find a method that can effectively determine the stability of tobacco extracts and make the results highly accurate. Summary of the Invention

[0005] This invention provides a method and apparatus for determining the stability of tobacco extracts, which solves the problems in the prior art where the evaluation and determination methods for the stability of tobacco extracts are singular, the accuracy of the determination results is low, and it is easy to obtain the determination result as stable, but in reality the flavor and other properties of the tobacco extract have changed.

[0006] According to one aspect of the present invention, an embodiment of the present invention provides a method for determining the stability of a tobacco extract, comprising:

[0007] Optical spectra and chemical parameters of the tobacco extract to be tested were obtained respectively;

[0008] Based on the optical spectrum, a similarity analysis is performed to obtain a first similarity; based on the chemical parameters, a similarity analysis is performed to obtain a second similarity.

[0009] The first similarity and the second similarity are fitted to obtain the total similarity; the tobacco extract to be tested that reaches the preset value of the total similarity is manually evaluated to obtain the stability of the tobacco extract.

[0010] In some embodiments, obtaining the optical spectrum of the tobacco extract to be tested includes:

[0011] The tobacco extract to be tested was divided into multiple equal batches of tobacco extract;

[0012] The optical spectrum of each batch of tobacco extract was obtained using a Fourier transform infrared spectrometer.

[0013] In some embodiments, the step of performing similarity analysis based on the optical spectrum to obtain a first similarity includes:

[0014] The optical spectra of each batch of tobacco extract were selected in sequence and recorded as the reference spectra;

[0015] The optical spectrum of any batch of tobacco extract is compared with the reference spectrum to obtain the first similarity between any two batches.

[0016] In some embodiments, obtaining the chemical parameters of the tobacco extract to be tested includes:

[0017] The tobacco extract to be tested was divided into multiple equal batches of tobacco extract;

[0018] The chemical parameters of each batch of tobacco extract were obtained using photoionization mass spectrometry.

[0019] In some embodiments, the step of performing similarity analysis based on the chemical parameters to obtain a second similarity includes:

[0020] The chemical parameters of each batch of tobacco extract were selected sequentially and recorded as the baseline parameters;

[0021] The chemical parameters of any batch of tobacco extract are compared with the benchmark parameters to obtain the second similarity between any two batches.

[0022] In some implementations, the step of fitting data between the first similarity and the second similarity to obtain a total similarity includes:

[0023] The first similarity and the second similarity of any batch of tobacco extracts are combined through data fitting to obtain the total similarity for each batch of tobacco extracts.

[0024] In some implementations, after performing data fitting on the first similarity and the second similarity to obtain the total similarity, the method further includes:

[0025] Compare the multiple total similarities obtained and select the minimum total similarity.

[0026] If the minimum total similarity reaches the preset value, then a manual evaluation is performed to obtain a stable tobacco extract.

[0027] In some embodiments, the step of performing similarity analysis based on the optical spectrum to obtain a first similarity and performing similarity analysis based on the chemical parameters to obtain a second similarity further includes:

[0028] A first total similarity is obtained based on the first similarity and the second similarity; a second total similarity is obtained after storing the tobacco extract to be tested for N days; wherein, N is greater than 0;

[0029] The stability of the tobacco extract to be tested is obtained based on the first total similarity and the second total similarity.

[0030] In some embodiments, obtaining the stability of the tobacco extract to be tested based on the first total similarity and the second total similarity includes:

[0031] The first similarity and the second similarity of the tobacco extract to be tested are obtained to obtain the first total similarity.

[0032] The tobacco extract to be tested was stored for N days, and a third similarity was obtained based on the optical spectrum; a fourth similarity was obtained based on the chemical parameters.

[0033] A second total similarity is obtained by fitting and analyzing the third and fourth similarity data;

[0034] If the difference between the first total similarity and the second total similarity does not reach the critical value, the stability of the tobacco extract is obtained through manual evaluation.

[0035] According to another aspect of the present invention, an embodiment of the present invention provides an apparatus for determining the stability of tobacco extracts, comprising:

[0036] The acquisition module is used to acquire the optical spectrum and chemical parameters of the tobacco extract to be tested, respectively.

[0037] The first analysis module is used to perform similarity analysis based on the optical spectrum to obtain a first similarity; and to perform similarity analysis based on the chemical parameters to obtain a second similarity.

[0038] The second analysis module is used to perform data fitting on the first similarity and the second similarity to obtain the total similarity; and to perform manual evaluation on the tobacco extract to be tested whose total similarity reaches a preset value to obtain the stability of the tobacco extract.

[0039] This invention provides a method and apparatus for determining the stability of tobacco extracts. The method involves acquiring the optical spectrum and chemical parameters of the tobacco extract to be tested; performing similarity analysis based on the optical spectrum to obtain a first similarity; performing similarity analysis based on the chemical parameters to obtain a second similarity; fitting the first and second similarities to obtain a total similarity; and manually evaluating the tobacco extracts whose total similarity reaches a preset value to determine their stability. This method effectively improves the accuracy and efficiency of stability determination of tobacco extracts, while saving time and reducing costs.

[0040] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0041] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0042] Figure 1 The diagram shows the flow chart of the method for determining the stability of tobacco extracts provided in this embodiment of the invention. Figure 1 ;

[0043] Figure 2 The diagram shows the flow chart of the method for determining the stability of tobacco extracts provided in this embodiment of the invention. Figure 2 ;

[0044] Figure 3 The diagram shows the flow chart of the method for determining the stability of tobacco extracts provided in this embodiment of the invention. Figure 3 ;

[0045] Figure 4 The diagram shown is a structural schematic of the tobacco extract stability testing device provided in an embodiment of the present invention.

[0046] Figure 5 The image shown is the FT-IR spectrum of the tobacco extract provided in Example 1 of this invention;

[0047] Figure 6 The image shown is a UV-TOF mass spectrum of the tobacco extract provided in Example 1 of this invention;

[0048] Figure 7 The image shown is the FT-IR spectrum of the tobacco extract provided in Example 2 of this invention;

[0049] Figure 8 The image shown is a UV-TOF mass spectrum of the tobacco extract provided in Example 2 of this invention;

[0050] Figure 9 The image shown is the FT-IR spectrum of the tobacco extract provided in Example 3 of this invention;

[0051] Figure 10 The image shown is a UV-TOF mass spectrum of the tobacco extract provided in Example 3 of this invention.

[0052] The accompanying drawings have illustrated specific embodiments of the invention, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the invention in any way, but rather to illustrate the concept of the invention to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0053] The present invention will be further illustrated below with reference to specific embodiments. It should be understood that these embodiments are for illustrative purposes only and are not intended to limit the scope of the invention.

[0054] The endpoints and any values ​​of the ranges disclosed herein are not limited to the precise ranges or values, and these ranges or values ​​should be understood to include values ​​close to these ranges or values. For numerical ranges, the endpoint values ​​of the various ranges, the endpoint values ​​of the various ranges or individual point values, and individual point values ​​can be combined with each other to obtain one or more new numerical ranges, which should be considered as specifically disclosed herein.

[0055] Unless otherwise specified, all embodiments and optional embodiments of the present invention can be combined with each other to form new technical solutions.

[0056] Unless otherwise specified, all technical features and optional technical features of this invention can be combined to form new technical solutions.

[0057] Unless otherwise specified, all steps of the present invention may be performed sequentially or randomly, preferably sequentially. For example, the method includes steps (a) and (b), indicating that the method may include steps (a) and (b) performed sequentially, or it may include steps (b) and (a) performed sequentially. For example, the mention that the method may also include step (c) indicates that step (c) may be added to the method in any order. For example, the method may include steps (a), (b), and (c), or it may include steps (a), (c), and (b), or it may include steps (c), (a), and (b), etc.

[0058] Unless otherwise specified, the terms "comprising" and "including" as used in this invention can be open-ended or closed-ended. For example, "comprising" and "including" can mean that other components not listed may also be included, or that only the listed components may be included.

[0059] First, the terms used in this invention will be explained:

[0060] The correlation coefficient method is a statistical method used to measure the strength of the linear relationship between two variables. The correlation coefficient (usually represented by r) ranges from -1 to 1. Specifically, when r = 1, it indicates a perfect positive correlation between the two variables, meaning that an increase in one variable leads to a proportional increase in the other; when r = -1, it indicates a perfect negative correlation between the two variables, meaning that an increase in one variable leads to a proportional decrease in the other; and when r = 0, it indicates that there is no linear relationship between the two variables.

[0061] The Pearson correlation coefficient is the most commonly used correlation coefficient, suitable for measuring linear and monotonic relationships between continuous variables. Its value ranges from -1 to +1, where 1 indicates perfect positive correlation, -1 indicates perfect negative correlation, and 0 indicates no correlation.

[0062] Spearman Rank Correlation Coefficient: Based on rank rather than the original data value, it is suitable for non-linear relationships or when the data does not conform to a normal distribution.

[0063] Kendall's Tau-b Correlation Coefficient: Another rank-based method, suitable for smaller datasets, and more robust for handling node problems.

[0064] Analyzing the physical parameters of tobacco extracts can effectively determine their stability, including its stability before and after storage and transportation. Existing methods for determining the stability of tobacco extracts using physical parameters are simplistic and have low accuracy. Often, while physical parameters indicate good stability, flavor changes are observed during human tasting.

[0065] In view of this, some embodiments of the present invention provide a method for determining the stability of tobacco extracts. By analyzing the physical parameters of tobacco extracts from multiple perspectives, the accuracy of stability determination can be effectively improved. Finally, manual evaluation can further improve the accuracy of determining the stability of tobacco extracts. The specific details of the solution are as follows:

[0066] Figure 1 The flowchart of the method for determining the stability of tobacco extracts provided in the embodiments of the present invention Figure 1 .like Figure 1 As shown, the method includes:

[0067] S101. Obtain the optical spectrum and chemical parameters of the tobacco extract to be tested.

[0068] Optical spectra, including near-infrared (NIR) or Fourier transform infrared (FT-IR) spectroscopy, can analyze and detect various components in tobacco extracts, such as total volatile alkaloids, pH value, solanesol, and organic acids; or terahertz time-domain spectroscopy, which can analyze absorption coefficient spectra or refractive index spectra in the range of 0.35–1.50 THz; or ultraviolet-visible spectroscopy (UV-VIS), which can analyze the differences in chemical composition of tobacco extracts. Furthermore, optical spectra can also provide information on the chemical components and chemical bonds in tobacco extracts. For example, FT-IR can analyze the types of chemical bonds and functional groups present in tobacco extracts; for instance, the stretching vibration peak of the carbonyl group is at 1700 cm⁻¹. -1 The stretching vibration peak of aromatic α-COC is 1250 cm⁻¹. -1 .

[0069] Chemical parameters can be obtained through photoionization mass spectrometry (UV-TOF), mass spectrometry, or nuclear magnetic resonance, including but not limited to the contents of components such as propylene glycol, nicotine, and 4,7,9-macrostigmatrien-3-one II, as well as the contents of components such as nicotine or tar; mass spectrometry can obtain isomass parameters of compounds in tobacco extracts. Of course, the methods and types for obtaining the above chemical parameters and optical spectra are not limited to the examples mentioned above. Any technical solution of the present invention that can be implemented by those skilled in the art through the embodiments of the present invention is within the scope of protection of the present invention.

[0070] S102. Based on the optical spectrum, perform similarity analysis to obtain the first similarity; based on the chemical parameters, perform similarity analysis to obtain the second similarity.

[0071] Similarity can be obtained through correlation coefficient methods, such as Pearson, Spearman, and Kendall correlation coefficients. The first similarity is obtained by analyzing the data in the optical spectrum using the correlation coefficient method; the second similarity is obtained by analyzing the data in the chemical parameters using the correlation coefficient method.

[0072] Similarity analysis of the tested tobacco extracts was performed using spectral spectra. The first similarity score was obtained by using correlation coefficient analysis with SPSS software. A second similarity score was obtained by using chemical parameters, again analyzed using correlation coefficient analysis with SPSS software.

[0073] For example, the tobacco extracts to be tested were divided into two groups. Fourier transform infrared spectroscopy (FT-IR) was used to measure the infrared spectra A and B of the two groups. The correlation coefficients of infrared spectra A and B were analyzed using SPSS software to obtain the first similarity. Then, photoionization mass spectra (UV-TOF) were used to measure the mass spectra A and B of the two groups of tobacco extracts. The correlation coefficients of mass spectra A and B were analyzed using SPSS software to obtain the second similarity. It will be understood by those skilled in the art that the specific selection of optical spectra and chemical parameters can be made independently based on this embodiment, and this embodiment does not impose specific limitations.

[0074] S103. Perform data fitting on the first similarity and the second similarity to obtain the total similarity; perform manual evaluation on the tobacco extract to be tested that has reached the preset value of total similarity to obtain the stability of the tobacco extract.

[0075] The first and second similarity scores of the tobacco extract to be tested are fitted to obtain the total similarity score. If the total similarity score reaches a preset value, it indicates that the tobacco extract to be tested has high stability and high consistency. For tobacco extracts that reach the preset value, manual smelling evaluation can be performed again to further improve the accuracy of the stability of the tobacco extract.

[0076] In some embodiments, the preset value can be set by those skilled in the art based on experience, or the tobacco extract can be measured through steps S101 to S103 of the above embodiments, and after multiple groups of people have conducted smoking tests, the optimal similarity can be selected as the preset value. The selection of the preset value includes, but is not limited to, the examples above.

[0077] For example, in step S102 above, the first and second similarities of the two sets of tobacco extracts to be tested are obtained, and the consistency of the tobacco extracts to be tested is analyzed from a comprehensive physical parameter perspective. However, the analysis of the first and second similarities alone has a certain degree of one-sidedness. If the first similarity is high and the second similarity is low, the accuracy of stability analysis will be poor if only one type of similarity is used. By combining the data of the first and second similarities to obtain the total similarity, the stability assessment has a high degree of accuracy. Furthermore, the evaluation can be carried out again by manual tasting, thereby reducing labor costs, improving testing efficiency, and ensuring high accuracy of stability testing.

[0078] This invention provides a method and apparatus for determining the stability of tobacco extracts. The method involves acquiring the optical spectrum and chemical parameters of the tobacco extract to be tested; performing similarity analysis based on the optical spectrum to obtain a first similarity; performing similarity analysis based on the chemical parameters to obtain a second similarity; fitting the first and second similarities to obtain a total similarity; and manually evaluating the tobacco extracts whose total similarity reaches a preset value to determine their stability. This method effectively improves the accuracy and efficiency of stability determination of tobacco extracts, while saving time and reducing costs.

[0079] Figure 2 The flowchart of the method for determining the stability of tobacco extracts provided in the embodiments of the present invention Figure 2 .like Figure 2 As shown, it includes:

[0080] S201. Divide the tobacco extract to be tested into multiple batches of equal portions of tobacco extract.

[0081] To make the stability determination of tobacco extracts more accurate, the number of samples to be tested can be increased by dividing the tobacco extracts to be tested into multiple batches.

[0082] S202. Obtain the optical spectrum of each batch of tobacco extract using a Fourier transform infrared spectrometer.

[0083] Multiple batches of tobacco extract were divided and their optical spectra were obtained using a Fourier transform infrared spectrometer. Of course, the parameters set for the Fourier transform infrared spectrometer were consistent throughout the testing process for each batch of tobacco extract.

[0084] S203. Obtain the chemical parameters of each batch of tobacco extract using photoionization mass spectrometry.

[0085] Similarly, the chemical parameters of each batch of tobacco extract from the S202 step were obtained by using a photoionization mass spectrometer.

[0086] S204. Select the optical spectrum of each batch of tobacco extract in sequence and record it as the reference spectrum.

[0087] By obtaining optical spectra of multiple batches of tobacco extracts, and selecting the optical spectrum of any batch of tobacco extract as the reference spectrum, multiple reference spectra can be selected from multiple batches of tobacco extracts.

[0088] S205. Select the chemical parameters of each batch of tobacco extract in sequence and record them as the baseline parameters.

[0089] S206. Compare the optical spectrum of any batch of tobacco extract with the reference spectrum to obtain the first similarity between any two batches.

[0090] In step S204, an optical spectrum is selected as a reference spectrum. This reference spectrum is then compared and analyzed with each other optical spectrum. For example, using the correlation coefficient method described above, the first similarity between any two batches of tobacco extracts is obtained. For instance, the tobacco extracts to be tested are divided into batch 1, batch 2, and batch 3, where the optical spectrum A of the tobacco extract from batch 1, the optical spectrum B of the tobacco extract from batch 2, and the optical spectrum C of the tobacco extract from batch 3 are given. Optical spectrum A is designated as the reference spectrum. A comparison with optical spectrum B yields the first similarity A, and a comparison with optical spectrum C yields the first similarity B.

[0091] S207. Compare the chemical parameters of any batch of tobacco extract with the benchmark parameters to obtain the second similarity between any two batches.

[0092] Similarly, through step S205, a chemical parameter is selected as the baseline parameter, and the baseline parameter is compared and analyzed with each chemical parameter. The second similarity between any two batches is obtained by using the correlation coefficient method described above.

[0093] S208. By fitting the first similarity and the second similarity of any batch of tobacco extracts, the total similarity of each batch of tobacco extracts is obtained.

[0094] After fitting the first and second similarities obtained in steps S207 and S208 to the data, the total similarity corresponding to each batch is obtained.

[0095] In some embodiments, after performing data fitting on the first similarity and the second similarity to obtain the total similarity, multiple first total similarities can be compared to select the minimum total similarity.

[0096] If the minimum total similarity reaches a preset value, a manual evaluation is performed to obtain a stable tobacco extract. For example, as shown in Tables 1 and 2 above, the minimum value of the first similarity is 0.998, and the minimum value of the second similarity is 0.993. Therefore, the minimum total similarity is 0.998 × 0.993 = 0.991, indicating that the tobacco extract to be tested in Example 1 has excellent stability. This was also confirmed by manual snoring evaluation, showing no difference between the tobacco extracts to be tested in Example 1.

[0097] Exemplarily, this will be further illustrated by the following Example 1:

[0098] Example 1

[0099] The tobacco extracts to be tested were divided into 7 batches, and the optical spectra of each batch were obtained by FT-IR spectroscopy, as shown in the attached figure. Figure 5 As shown in the attached figure; the mass spectra of each batch were obtained using UV-TOF mass spectrometry. Figure 6 As shown, the chemical parameters of the corresponding mass spectra were obtained.

[0100] Optical spectra of any batch of tobacco extract were selected as the baseline spectra. For example, the optical spectra of batch X1 tobacco extract were selected as the baseline spectra. The optical spectra of batches X1 to X7 were compared with the baseline spectra to obtain the corresponding first similarity, as shown in Table 1. Similarly, the obtained second similarity is shown in Table 2.

[0101] Table 1. First Similarity of FT-IR Spectral Data of Tobacco Extracts

[0102] serial number X1 X2 X3 X4 X5 X6 X7 X1 1.000 / / / / / / X2 0.998 1.000 / / / / / X3 0.998 0.999 1.000 / / / / X4 0.999 0.998 0.998 1.000 / / / X5 0.999 0.999 0.998 0.998 1.000 / / X6 0.998 0.999 0.998 0.998 0.999 1.000 / X7 0.998 0.999 0.998 0.998 0.998 0.998 1.000

[0103] Note: " / " in the table indicates none, or that the data in this table is duplicated with data in other tables and will not be recorded again in this table.

[0104] Table 2. Second similarity of UV-TOF mass spectrometry data of tobacco extracts

[0105] serial number X1 X2 X3 X4 X5 X6 X7 X1 1.000 / / / / / / X2 0.999 1.000 / / / / / X3 0.997 0.998 1.000 / / / / X4 0.998 0.998 0.998 1.000 / / / X5 0.995 0.996 0.997 0.998 1.000 / / X6 0.995 0.996 0.997 0.998 0.998 1.000 / X7 0.993 0.993 0.995 0.996 0.997 0.998 1.000

[0106] The data in Tables 1 and 2 show that the first similarity between batch X1 and batch X2 is 0.998, and the second similarity is 0.999. By fitting the data to the first and second similarities, and calculating the total similarity as the product of the first and second similarities, the total similarity between batch X1 and batch X2 is 0.998 × 0.999 = 0.997.

[0107] As shown in Tables 1 and 2, the overall similarity in this embodiment is above 0.991, indicating that the tobacco extracts tested in this embodiment have good stability. Further manual evaluation, conducted according to YC / T 145.8-1998 "General Evaluation Method for Flavor Quality of Tobacco Flavorings", revealed no difference in the tobacco extracts in this embodiment.

[0108] Figure 3 The flowchart of the method for determining the stability of tobacco extracts provided in the embodiments of the present invention Figure 2 .like Figure 3 As shown, a similarity analysis is performed based on the optical spectrum to obtain the first similarity; a similarity analysis is performed based on the chemical parameters to obtain the second similarity, which also includes:

[0109] S301. Obtain the first similarity and second similarity of the tobacco extract to be tested, and obtain the first total similarity.

[0110] The first and second similarities can be obtained through Example 1 above. To further determine whether the stability of the tobacco extract changes after storage for a certain period, the tobacco extract to be tested in Example 1 was stored.

[0111] S302. Store the tobacco extract to be tested for N days, and obtain the third similarity based on the optical spectrum; obtain the fourth similarity based on the chemical parameters; where N is greater than 0.

[0112] The tobacco extracts to be tested, after being stored for N days, were divided into multiple batches, such as batches Y1, Y2, Y3, etc. The optical spectrum and chemical parameters of each batch of tobacco extracts were obtained. The third similarity was obtained through the optical spectrum, and the fourth similarity was obtained through the chemical parameters.

[0113] S303. By fitting and analyzing the third and fourth similarity data, the second total similarity is obtained.

[0114] By fitting and analyzing the third and fourth similarity data, the second total similarity is obtained, which is the total similarity of the tobacco extract to be tested after N days of storage.

[0115] S304. If the difference between the first total similarity and the second total similarity does not reach the critical value, the stability of the tobacco extract is obtained through manual evaluation.

[0116] The first total similarity and the second total similarity are compared. If the difference between the two does not reach the critical value, the tobacco extract to be tested has good stability. After artificial tasting, the stability of the tobacco extract is further confirmed to be good.

[0117] Exemplary examples 2 and 3 will be used to illustrate this in more detail:

[0118] Example 2

[0119] After storing the tobacco extract to be tested in Example 1 for 60 days, the tobacco extract was divided into batches Y1, Y2, Y3, Y4, Y5, Y6, and Y7. The optical spectra of each batch were tested by FT-IR, as shown below. Figure 7 As shown; the mass spectra of each batch were obtained by UV-TOF testing. Figure 8 As shown, chemical parameters are then obtained through mass spectrometry.

[0120] Furthermore, analysis will be performed using SPSS software. The third similarity will be obtained through optical spectra, as shown in Table 3; and the fourth similarity will be obtained through chemical parameters, as shown in Table 4.

[0121] Table 3. Third Similarity of FT-IR Spectral Data of Tobacco Extracts

[0122] serial number Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y1 1.000 / / / / / / Y2 0.998 1.000 / / / / / Y3 0.999 0.999 1.000 / / / / Y4 0.999 0.998 0.998 1.000 / / / Y5 0.998 0.999 0.998 0.998 1.000 / / Y6 0.998 0.998 0.999 0.998 0.999 1.000 / Y7 0.998 0.999 0.999 0.998 0.999 0.999 1.000

[0123] Note: " / " in the table indicates none, or that the data in this table is duplicated with data in other tables and will not be recorded again in this table.

[0124] Table 4. Fourth similarity of UV-TOF mass spectrometry data of tobacco extracts

[0125] serial number Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y1 1.000 / / / / / / Y2 0.993 1.000 / / / / / Y3 0.994 0.994 1.000 / / / / Y4 0.993 0.993 0.995 1.000 / / / Y5 0.991 0.993 0.994 0.995 1.000 / / Y6 0.991 0.991 0.994 0.996 0.996 1.000 / Y7 0.993 1.000 0.994 0.993 0.993 0.991 1.000

[0126] The first total similarity of the tested tobacco extract before storage and the second total similarity after storage can be obtained. If the difference between the first and second total similarities does not reach the critical value, the tested tobacco extract shows good stability. Alternatively, the minimum value of the first and second total similarities can be selected, and the stability can be determined by comparing the difference between these minimum values ​​and the critical value. As shown in Tables 1 and 2, the minimum value of the first total similarity is 0.991; as shown in Tables 3 and 4, the minimum value of the second total similarity is 0.991. Therefore, the tested tobacco extract exhibits excellent stability, and no difference was found through manual tasting.

[0127] Example 3

[0128] The tobacco extract to be tested in Example 1 is designated as batch X, the tobacco extract to be tested in Example 2 is designated as batch Y, and the tobacco extract to be tested in Example 1 after being stored for 90 days is designated as batch Z; the obtained optical spectra are as follows. Figure 9 As shown, the mass spectrum is as follows: Figure 10 As shown, the first and second similarities for each batch using the above method are shown in Tables 5 and 6.

[0129] Table 5. First Similarity of FT-IR Spectral Data of Tobacco Extracts at Different Storage Periods

[0130] serial number X Y Z X 1.000 / / Y 0.998 1.000 / Z 0.981 0.986 1.000

[0131] Table 6. Second similarity of UV-TOF mass spectrometry data of tobacco extracts at different storage periods

[0132] serial number X Y Z X 1 / / Y 0.900 1.000 / Z 0.824 0.908 1.000

[0133] As shown in Tables 5 and 6, if the first similarity is 0.981 and the second similarity is 0.824, then the total similarity is 0.981 × 0.824 = 0.808; indicating that the total similarity of the tested tobacco extracts changes from 0.991 to 0.808 after 90 days of storage. Eleven qualified evaluators used the three-point test to evaluate the smoke samples of X and Y against Z. The results showed that 11 evaluators correctly identified X and 8 correctly identified Z. According to the evaluation results requirements of YC / T 145.8-1998, the tobacco extracts of Examples 1 and 3 showed significant differences at this point.

[0134] The above methods can quickly and effectively determine the stability of tobacco extracts, and then assess the stability through manual smoking evaluation, which can effectively improve the accuracy of stability determination, and the determination is efficient and time-saving.

[0135] The parts of this invention not described in detail are techniques known to those skilled in the art.

[0136] The basic principles of the present invention have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in the present invention are merely examples and not limitations, and should not be considered as essential features of each embodiment of the present invention. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the present invention to the necessity of employing the aforementioned specific details.

[0137] It should be noted that the terms "and / or" or " / " used herein are merely descriptions of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. The singular forms "a," "described," and "the" used in the embodiments of the invention and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise.

[0138] In the detailed description and claims, a list of items connected by the terms "at least one of," "at least one of," "at least one of," or other similar terms may mean any combination of the listed items. For example, if items A and B are listed, then the phrase "at least one of A and B" means only A; only B; or A and B. In another example, if items A, B, and C are listed, then the phrase "at least one of A, B, and C" means only A; or only B; only C; A and B (excluding C); A and C (excluding B); B and C (excluding A); or all of A, B, and C. Item A may contain a single element or multiple elements. Item B may contain a single element or multiple elements. Item C may contain a single element or multiple elements.

[0139] When integrated units / modules are implemented in hardware, the hardware can be digital circuits, analog circuits, etc. The physical implementation of the hardware structure includes, but is not limited to, transistors, memristors, etc. Unless otherwise specified, the processor can be any suitable hardware processor, such as a CPU, GPU, FPGA, DSP, and ASIC, etc. Unless otherwise specified, the storage unit can be any suitable magnetic or magneto-optical storage medium, such as Resistive Random Access Memory (RRAM), Dynamic Random Access Memory (DRAM), Static Random Access Memory (SRAM), Enhanced Dynamic Random Access Memory (EDRAM), High-Bandwidth Memory (HBM), Hybrid Memory Cube (HMC), etc.

[0140] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for determining the stability of a tobacco extract, characterized in that, include: Optical spectra and chemical parameters of the tobacco extract to be tested were obtained respectively; Based on the optical spectrum, a similarity analysis is performed to obtain the first similarity score; Based on the chemical parameters, a similarity analysis was performed to obtain a second similarity. The first similarity and the second similarity are fitted to obtain the total similarity; the tobacco extract to be tested that reaches the preset value of the total similarity is manually evaluated to obtain the stability of the tobacco extract.

2. The method according to claim 1, characterized in that, The process of obtaining the optical spectrum of the tobacco extract to be tested includes: The tobacco extract to be tested was divided into multiple equal batches of tobacco extract; The optical spectrum of each batch of tobacco extract was obtained using a Fourier transform infrared spectrometer.

3. The method according to claim 2, characterized in that, The step of performing similarity analysis based on the optical spectrum to obtain a first similarity includes: The optical spectra of each batch of tobacco extract were selected in sequence and recorded as the reference spectra; The optical spectrum of any batch of tobacco extract is compared with the reference spectrum to obtain the first similarity between any two batches.

4. The method according to claim 1, characterized in that, The process of obtaining the chemical parameters of the tobacco extract to be tested includes: The tobacco extract to be tested was divided into multiple equal batches of tobacco extract; The chemical parameters of each batch of tobacco extract were obtained using photoionization mass spectrometry.

5. The method according to claim 4, characterized in that, The step of performing similarity analysis based on the chemical parameters to obtain a second similarity includes: The chemical parameters of each batch of tobacco extract were selected sequentially and recorded as the baseline parameters; The chemical parameters of any batch of tobacco extract are compared with the benchmark parameters to obtain the second similarity between any two batches.

6. The method according to claim 2, characterized in that, The step of fitting the first similarity and the second similarity to obtain the total similarity includes: The first similarity and the second similarity of any batch of tobacco extracts are combined through data fitting to obtain the total similarity for each batch of tobacco extracts.

7. The method according to claim 6, characterized in that, After performing data fitting on the first similarity and the second similarity to obtain the total similarity, the method further includes: Compare the multiple total similarities obtained and select the minimum total similarity. If the minimum total similarity reaches the preset value, then a manual evaluation is performed to obtain a stable tobacco extract.

8. The method according to claim 1, characterized in that, The step of performing similarity analysis based on the optical spectrum to obtain a first similarity, and performing similarity analysis based on the chemical parameters to obtain a second similarity, further includes: A first total similarity is obtained based on the first similarity and the second similarity; a second total similarity is obtained after storing the tobacco extract to be tested for N days; wherein, N is greater than 0; The stability of the tobacco extract to be tested is obtained based on the first total similarity and the second total similarity.

9. The method according to claim 8, characterized in that, The step of obtaining the stability of the tobacco extract to be tested based on the first total similarity and the second total similarity includes: The first similarity and the second similarity of the tobacco extract to be tested are obtained to obtain the first total similarity. The tobacco extract to be tested was stored for N days, and a third similarity was obtained based on the optical spectrum; a fourth similarity was obtained based on the chemical parameters. A second total similarity is obtained by fitting and analyzing the third and fourth similarity data; If the difference between the first total similarity and the second total similarity does not reach the critical value, the stability of the tobacco extract is obtained through manual evaluation.

10. An apparatus for determining the stability of tobacco extracts, characterized in that, include: The acquisition module is used to acquire the optical spectrum and chemical parameters of the tobacco extract to be tested, respectively. The first analysis module is used to perform similarity analysis based on the optical spectrum to obtain a first similarity; and to perform similarity analysis based on the chemical parameters to obtain a second similarity. The second analysis module is used to perform data fitting on the first similarity and the second similarity to obtain the total similarity; and to perform manual evaluation on the tobacco extract to be tested whose total similarity reaches a preset value to obtain the stability of the tobacco extract.

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