Integrated response platform for cigarette essence blending and cigarette essence blending method

Abstract

The invention belongs to the field of tobacco industry application, and particularly relates to an integrated response platform for cigarette essence blending and a cigarette essence blending method. According to the characteristics of different stages of perfume volatilization, three independent response medium layers are designed in a targeted manner, and according to different types of substances emitted by the perfume in each stage, the number of partitions of each response medium layer and the sensing material printed on the sensing interface base material of each area are designed in a targeted manner; the three independent response medium layers respond to three stages of perfume volatilization respectively, a multi-channel integrated response platform is constructed, perfume body composition is truly restored, manual work is simulated to complete staged perfume evaluation, and essence imitation is rapidly completed.

Description

Technical Field

[0001] The invention belongs to the application field of tobacco industry, and in particular relates to an integrated response platform for cigarette flavor blending and a cigarette flavor blending method. Background Art

[0002] At present, the flavoring methods used in the cigarette industry are mostly manual methods. Based on the long-term experience accumulated, the flavorist repeatedly adjusts according to the characteristics of the flavor, and gradually corrects and completes the blending of a flavor. Such a flavoring method is undoubtedly a heavy task for the flavorist. However, flavoring work is a very important core work in the cigarette industry. Cigarette flavoring can improve the quality of cigarette products and enrich the connotation of cigarette products. Therefore, flavoring technology is one of the core technologies of the tobacco industry. The current flavoring technology obviously has the disadvantages of large workload, time-consuming, and lack of scientificity. Some current studies have attempted to analyze the flavors, but most of the methods are too cumbersome and costly, and are not easy to promote.

[0003] The volatilization of spices can be divided into three stages, namely the front stage, the middle stage and the back stage. Perfumers usually sniff the spices in stages and infer the types of spices in each stage based on their experience, and then gradually adjust the proportions. After repeated attempts and tests, the imitation of spices is completed. If machine recognition is used to identify the composition and proportion of spices in each stage, it can not only highly simulate the entire manual evaluation process, but also truly restore the composition of the spices themselves, and quickly complete the imitation of fragrances.

[0004] Therefore, it is particularly important to explore a method for rapid imitation of flavors that is convenient, efficient, scientific and easy to promote.

[0005] In order to solve the above problems, the present invention is proposed. Summary of the invention

[0006] The present invention mainly provides a method for quickly imitating flavors. According to the three stages of flavor volatilization, the types of substances volatilized in each stage are different, and substances with small molecular weight volatilize first, while substances with large molecular weight volatilize slowly. Based on this characteristic, three independent response medium layers are designed specifically, and the three independent response medium layers respond to the three stages of flavor volatilization respectively, constructing a multi-channel integrated response platform, simulating the function of manually completing phased flavor evaluation, truly restoring the composition of the flavor body, and quickly completing flavor imitation.

[0007] The first aspect of the present invention provides an integrated response platform for the preparation of cigarette flavors, the integrated response platform comprising a first response medium layer, a second response medium layer, and a third response medium layer, and being sealed in a stainless steel container, the stainless steel container being divided into three independent space regions of upper, middle, and lower, each space region being provided with a detection inlet and a detection outlet, the first response medium layer, the second response medium layer, and the third response medium layer being independently placed in the upper, middle, and lower three space regions, respectively, the first response medium layer, the second response medium layer, and the third response medium layer all comprising a sensing interface and a detection device, the sensing interface being connected to the detection device, the detection device being connected to a data analyzer respectively, the sensing interface comprising a sensing interface substrate and a targeted sensing material printed on the sensing interface substrate;

[0008] in:

[0009] The first response dielectric layer is divided into five independent zones, and CuO, MgO, V2O5, Co2O3, and Fe2O3 are printed on the sensing interface substrate of each zone;

[0010] The second response medium layer is divided into 10 independent regions, and Sb2O3, Ce2O3, LaAlO3, Mn2O3, LaGaO3, SrTiO3, MgTiO3, CaTiO3, BaZrO3, and LaVO3 are printed on the sensing interface substrate of each region;

[0011] The third response medium layer is divided into 10 independent areas, and FeTiO3, BiFeO3, NiTiO3, LaCoO3, LiMn2O4, MgAl2O4, FeAl2O4, MnAl2O4, ZnAl2O4, and LiFeO2 are printed on the sensing interface substrate of each area;

[0012] The detection device comprises a measuring probe for measuring the signal generated by the chemical reaction on the surface of the sensing interface under a certain external field.

[0013] Preferably, the stainless steel container has a size of 25 x 25 cm.

[0014] Preferably, the sensing interface substrate includes but is not limited to ceramics and silicon dioxide.

[0015] Preferably, the inductive interface substrate comprises a heating source, which is usually in the form of an external electric heater.

[0016] The second aspect of the present invention provides a method for blending cigarette flavors, using the integrated response platform described in the first aspect of the present invention, the method comprising the following steps:

[0017] (1) placing the fragrance to be imitated in a sample bottle, and using air to carry the volatile substances of the fragrance out of the sample bottle;

[0018] (2) The outlet pipe of the sample bottle is connected to an inlet of a four-way pipe, and the other three outlets A, B, and C of the four-way pipe are respectively connected to three inlets of the multi-channel integrated response platform, and the opening and closing of the four-way pipe are controlled by a valve;

[0019] (3) In the above step (1), within 0-5 minutes, the valves of the B and C pipelines of the four-way pipe are closed, and the volatile substances blown out enter the first response medium layer along the A pipeline;

[0020] (4) In the above step (1), within 5-10 minutes, the valves of pipelines A and C of the four-way pipe are closed, and the volatile substances blown out enter the second response medium layer along pipeline B;

[0021] (5) In the above step (1), within 10-30 minutes, the valves of the A and B pipelines of the four-way pipe are closed, and the volatile substances blown out enter the third response medium layer along the C pipeline;

[0022] (6) the detection devices of the three response medium layers in the aforementioned steps (3), (4) and (5) transmit the detection signals to the data analyzer;

[0023] (7) After completing steps (1) to (6), the data analyzer obtains three sets of analysis data for the first response medium layer, the second response medium layer, and the third response medium layer, respectively. Each set of data serves as a benchmark for each response medium layer, and corresponds to the material composition and content of the three volatilization stages of the flavor to be imitated;

[0024] (8) According to the analytical data obtained in step (7), the substance corresponding to the first response medium layer is first prepared. The analytical data set obtained by the first response medium layer is first distinguished. The analytical data set contains data of 5 points (this corresponds to the first response medium layer being divided into 5 independent areas). The data of each point corresponds to a type of small molecule substance, namely hydrocarbons, alcohols, aldehydes, ketones, and esters. A number of small molecule fragrances of corresponding categories are taken, and the fragrances are placed in sample bottles in turn. Within 0-5 minutes, the detection signal intensity is recorded, and the signal intensity is compared with the benchmark data. When the deviation is less than 2%, the fragrance is selected and the dosage of the fragrance is determined. According to this method, the comparison of the next type of substance is continued until the comparison of all substances is completed, and the preparation of the substance corresponding to the first response medium layer is completed;

[0025] (9) Based on the analytical data obtained in (7), the substances corresponding to the second response medium layer are then prepared. First, the analytical data set obtained by the second response medium layer is distinguished. The analytical data set contains data from 10 points (this corresponds to the second response medium layer being divided into 10 independent areas). The data from each point corresponds to a type of substance, namely hydrocarbons, alcohols, ethers, aldehydes, ketones, acids, esters, amines, sulfur-containing substances, and nitrogen-containing substances. A number of spices with slightly larger molecular weights of the corresponding categories are selected and placed in sample bottles in turn. Within 5-10 minutes, the detection signal intensity is recorded and the signal intensity is compared with the benchmark data. When the deviation is less than 2%, the spice is selected and the dosage of the spice is determined. According to this method, the comparison of the next type of substance is continued until the comparison of all substances is completed. Then, the preparation of the substances corresponding to the second response medium layer is completed.

[0026] (10) Based on the analytical data obtained in (7), the substances corresponding to the third response medium layer are then prepared. First, the analytical data set obtained by the third response medium layer is distinguished. The analytical data set contains data from 10 points (this corresponds to the third response medium layer being divided into 10 independent areas). The data from each point corresponds to a type of substance, namely hydrocarbons, alcohols, ethers, aldehydes, ketones, acids, esters, amines, sulfur-containing substances, and nitrogen-containing substances. A number of high-molecular-weight fragrances of the corresponding categories are taken, and the fragrances are taken in turn and placed in sample bottles. Within 10-30 minutes, the detection signal intensity is recorded, and the signal intensity is compared with the benchmark data. When the deviation is less than 2%, the fragrance is selected and the dosage of the fragrance is determined. According to this method, the comparison of the next type of substance is continued until the comparison of all substances is completed, and the preparation of the substances corresponding to the third response medium layer is completed;

[0027] (11) The spices selected in steps (8), (9) and (10) are modulated according to the determined amounts to complete the imitation of the essence.

[0028] Preferably, in step (1), 10-20 mL / min of air is used to carry the volatile substances of the fragrance out of the sample bottle.

[0029] Preferably, the method further comprises step (12), manually smelling and distinguishing the prepared flavor and the flavor to be imitated, and making fine adjustments to further improve the consistency of the prepared flavor and the flavor to be imitated, and finally completing the flavor imitation. This step is to further ensure that the prepared flavor is closer to the flavor to be imitated. The fine adjustment process can be the adjustment of the amount of the aforementioned substances, or it can be that after manual smelling, it is felt that which aroma style is slightly weaker, and then the substances corresponding to the aroma style are supplemented according to experience.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 1. The present invention specifically designs three independent response medium layers according to the characteristics of different stages of fragrance volatilization, and specifically designs the number of partitions of each response medium layer and the sensing material printed on the sensing interface substrate of each zone according to the different types of substances emitted by the fragrance volatilization in each stage. The three independent response medium layers respond to the three stages of fragrance volatilization respectively, and construct a multi-channel integrated response platform, which truly restores the composition of the fragrance body, simulates manual completion of phased fragrance evaluation, and quickly completes fragrance imitation.

[0032] 2. The method provided by the present invention is fast and efficient, which can not only simulate manual evaluation, but also overcome the defects of manual perfume making work that is time-consuming and laborious.

[0033] 3. The method provided by the present invention is simple, convenient and easy to promote. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] none. DETAILED DESCRIPTION

[0035] The present invention is further described below by way of examples, which are not limited to the examples. Experimental methods without specific conditions specified in the examples are generally carried out under conventional conditions and conditions described in the manual, or under conditions recommended by the manufacturer. The general equipment, materials, reagents, etc. used are all commercially available unless otherwise specified.

[0036] Example 1

[0037] The integrated response platform used in this embodiment includes a first response medium layer, a second response medium layer, and a third response medium layer, and is sealed in a stainless steel container. The stainless steel container is divided into three independent space areas, namely, upper, middle, and lower. Each space area is provided with a detection inlet and a detection outlet. The first response medium layer, the second response medium layer, and the third response medium layer are independently placed in the upper, middle, and lower three space areas, respectively. The first response medium layer, the second response medium layer, and the third response medium layer all include a sensing interface and a detection device. The sensing interface is connected to the detection device, and the detection device is connected to a data analyzer, respectively. The sensing interface includes a sensing interface substrate and a targeted sensing material printed on the sensing interface substrate.

[0038] in:

[0039] The first response dielectric layer is divided into five independent zones, and CuO, MgO, V2O5, Co2O3, and Fe2O3 are printed on the sensing interface substrate of each zone;

[0040] The second response medium layer is divided into 10 independent regions, and Sb2O3, Ce2O3, LaAlO3, Mn2O3, LaGaO3, SrTiO3, MgTiO3, CaTiO3, BaZrO3, and LaVO3 are printed on the sensing interface substrate of each region;

[0041] The third response medium layer is divided into 10 independent areas, and FeTiO3, BiFeO3, NiTiO3, LaCoO3, LiMn2O4, MgAl2O4, FeAl2O4, MnAl2O4, ZnAl2O4, and LiFeO2 are printed on the sensing interface substrate of each area;

[0042] The detection device comprises a measuring probe for measuring the signal generated by the chemical reaction on the surface of the sensing interface under a certain external field.

[0043] The dimensions of the stainless steel container were 25 x 25 cm.

[0044] The sensing interface substrate includes but is not limited to silicon dioxide.

[0045] The inductive interface substrate includes a heating source.

[0046] The cigarette flavor blending method of this embodiment comprises the following steps:

[0047] 1. Take a target citrus flavor, place it in a sample bottle, and use 10mL / min air to bring the volatile substances of the flavor out of the sample bottle.

[0048] 2. The outlet pipe of the sample bottle is connected to a four-way pipe, and the three outlets of the four-way pipe are respectively connected to the three inlets of the multi-channel integrated response platform. The opening and closing of the four-way pipe are controlled by a valve.

[0049] 3. Within 5 minutes, close the valves of the B and C pipelines of the four-way pipe, and the volatile substances blown out will enter the first response medium layer along the A pipeline.

[0050] 4. Within 5-10 minutes, close the valves of pipelines A and C of the four-way pipe, and the volatile substances blown out will enter the second response medium layer along pipeline B.

[0051] 5. Within 10-30 minutes, close the valves of the A and B pipelines of the four-way pipe, and the volatile substances blown out will enter the third response medium layer along the C pipeline.

[0052] 6. The detection devices of the three response medium layers transmit the detection signals to the data analyzer.

[0053] 7. The data analyzer obtains three sets of analysis data for the first response medium layer, the second response medium layer, and the third response medium layer respectively. Each set of data serves as a benchmark for each response medium layer, corresponding to the material composition and content of the three volatilization stages of the flavor to be imitated.

[0054] 8. According to the analytical data obtained above, the substances corresponding to the first response medium layer are first prepared. The analytical data set obtained by the first response medium layer is first distinguished. The analytical data set contains data of 5 points. The data of each point corresponds to a type of substance, namely hydrocarbons, alcohols, aldehydes, ketones, and esters. Several small molecule fragrances of the corresponding categories are taken, and the fragrances are placed in the sample bottle in turn. Within 5 minutes, the detection signal intensity is recorded, and the signal intensity is compared with the benchmark data. When the deviation is less than 2%, the fragrance is selected and the dosage of the fragrance is determined. According to this method, the comparison of the next type of substance is continued until the comparison of all substances is completed, and the preparation of the substances corresponding to the first response medium layer is completed. The comparison results are shown in Table 1.

[0055] Table 1 Comparison of the first response dielectric layer

[0056]

[0057] The specific types of spices corresponding to each other are well-known in the art, and those skilled in the art can obtain them by consulting materials. It is sufficient to select some spices to carry out the operation of the present invention (8).

[0058] After comparison, the selected substances are TF4, AF3, CF1, DF5 and EF2.

[0059] (9) According to the analytical data obtained in (7), the substances corresponding to the second response medium layer are then prepared. First, the analytical data set obtained by the second response medium layer is distinguished. The analytical data set contains data of 10 points. The data of each point corresponds to a type of substance, namely hydrocarbons, alcohols, ethers, aldehydes, ketones, acids, esters, amines, sulfur-containing substances, and nitrogen-containing substances. A number of spices with slightly larger molecular weights of the corresponding categories are taken, and the spices are placed in sample bottles in turn. Within 5-10 minutes, the detection signal intensity is recorded, and the signal intensity is compared with the benchmark data. When the deviation is less than 2%, the spice is selected and the dosage of the spice is determined. According to this method, the comparison of the next type of substance is continued until the comparison of all substances is completed, and the preparation of the substances corresponding to the second response medium layer is completed. The comparison results are shown in Table 2.

[0060] Table 2 Comparison of the second response medium layer

[0061]

[0062] The specific types of spices corresponding to each other are well-known in the art, and those skilled in the art can obtain them by consulting materials. It is sufficient to select some spices to carry out the operation of the present invention (9).

[0063] After comparison, the selected substances are AH3, BY1, CH2, CY1, XY5, YZ2, YR4, LX2, DE2, and KX1.

[0064] (10) According to the analytical data obtained in (7), the substances corresponding to the third response medium layer are then prepared. First, the analytical data set obtained by the third response medium layer is distinguished. The analytical data set contains data of 10 points. The data of each point corresponds to a type of substance, namely hydrocarbons, alcohols, ethers, aldehydes, ketones, acids, esters, amines, sulfur-containing substances, and nitrogen-containing substances. A number of high-molecular-weight spices of the corresponding categories are taken, and the spices are placed in sample bottles in turn. Within 10-30 minutes, the detection signal intensity is recorded, and the signal intensity is compared with the benchmark data. When the deviation is less than 2%, the spice is selected and the dosage of the spice is determined. According to this method, the comparison of the next type of substance is continued until the comparison of all substances is completed, and the preparation of the substances corresponding to the third response medium layer is completed. The comparison results are shown in Table 3.

[0065] Table 3 Comparison of the third response medium layer

[0066]

[0067] The specific types of spices corresponding to each other are well-known in the art, and those skilled in the art can obtain them by consulting materials. It is sufficient to select some spices to carry out the operation of the present invention (10).

[0068] After comparison, the selected substances are HF4, KL2, CX1, XA5, GY2, XD3, DN2, XB4, RZ2, and YG3.

[0069] (11) Modifying the substances selected in (8), (9) and (10).

[0070] (12) Manually smell the prepared flavor and the flavor to be imitated. It has been verified that the flavor prepared in this embodiment and the flavor to be imitated have very consistent aroma styles in the front, middle and back parts, and can meet the requirements of perfume adjustment. In order to further improve the consistency between the prepared flavor and the flavor to be imitated, it is only necessary to fine-tune the prepared flavor to finally complete the flavor imitation.

[0071] The present invention is described above by way of example. It should be noted that, without departing from the core of the present invention, any simple deformation, modification or other equivalent replacement that can be made by those skilled in the art without inventive effort falls within the protection scope of the present invention.

Claims

1. An integrated response platform for cigarette flavor preparation, characterized in that: The integrated response platform comprises a first response medium layer, a second response medium layer, and a third response medium layer, and is sealed in a stainless steel container, wherein the stainless steel container is divided into three independent space regions of upper, middle, and lower areas, each of which is provided with a detection inlet and a detection outlet, and the first response medium layer, the second response medium layer, and the third response medium layer are independently placed in the upper, middle, and lower three space regions, respectively, and the first response medium layer, the second response medium layer, and the third response medium layer all comprise a sensing interface and a detection device, the sensing interface is connected to the detection device, and the detection device is respectively connected to a data analyzer, and the sensing interface comprises a sensing interface substrate and a targeted sensing material printed on the sensing interface substrate; in: The first response medium layer is divided into five independent zones, and CuO, MgO, V2O5, Co2O3, and Fe2O3 are printed on the sensing interface substrate of each zone; The second response medium layer is divided into 10 independent regions, and Sb2O3, Ce2O3, LaAlO3, Mn2O3, LaGaO3, SrTiO3, MgTiO3, CaTiO3, BaZrO3, and LaVO3 are printed on the sensing interface substrate of each region; The third response medium layer is divided into 10 independent areas, and FeTiO3, BiFeO3, NiTiO3, LaCoO3, LiMn2O4, MgAl2O4, FeAl2O4, MnAl2O4, ZnAl2O4, and LiFeO2 are printed on the sensing interface substrate of each area; The detection device comprises a measuring probe for measuring the signal generated by the chemical reaction on the surface of the sensing interface under a certain external field.

2. The integrated response platform according to claim 1, characterized in that: The dimensions of the stainless steel container were 25 x 25 cm.

3. The integrated response platform according to claim 1, characterized in that: The sensing interface substrate includes but is not limited to ceramics and silicon dioxide.

4. The integrated response platform according to claim 1, characterized in that: The inductive interface substrate includes a heating source.

5. A method for preparing cigarette flavor, characterized in that: Using the integrated response platform according to any one of claims 1 to 4, the method comprises the following steps: (1) placing the fragrance to be imitated in a sample bottle, and using air to carry the volatile substances of the fragrance out of the sample bottle; (2) The outlet pipe of the sample bottle is connected to an inlet of a four-way pipe, and the other three outlets A, B, and C of the four-way pipe are respectively connected to the three inlets of the integrated response platform, and the opening and closing of the four-way pipe are controlled by a valve; (3) In the above step (1), within 0-5 minutes, the valves of the B and C pipelines of the four-way pipe are closed, and the volatile substances blown out enter the first response medium layer along the A pipeline; (4) In the above step (1), within 5-10 minutes, close the valves of pipelines A and C of the four-way pipe, and the volatile substances blown out enter the second response medium layer along pipeline B; (5) In the above step (1), within 10-30 minutes, the valves of the A and B pipelines of the four-way pipe are closed, and the volatile substances blown out enter the third response medium layer along the C pipeline; (6) the detection devices of the three response medium layers in the aforementioned steps (3), (4) and (5) transmit the detection signals to the data analyzer; (7) After completing steps (1) to (6), the data analyzer obtains three sets of analysis data for the first response medium layer, the second response medium layer, and the third response medium layer, respectively. Each set of data serves as a benchmark for each response medium layer, and corresponds to the material composition and content of the three volatilization stages of the flavor to be imitated; (8) According to the analytical data obtained in step (7), the substance corresponding to the first response medium layer is first prepared. The analytical data set obtained by the first response medium layer is first distinguished. The analytical data set contains data of 5 points. The data of each point corresponds to a type of substance, namely hydrocarbons, alcohols, aldehydes, ketones, and esters. A number of spices of corresponding categories are taken, and the spices are placed in sample bottles in turn. Within 0-5 minutes, the detection signal intensity is recorded, and the signal intensity is compared with the benchmark data. When the deviation is less than 2%, the spice is selected and the dosage of the spice is determined. According to this method, the comparison of the next type of substance is continued until the comparison of all substances is completed, and the preparation of the substance corresponding to the first response medium layer is completed; (9) Based on the analytical data obtained in (7), the substances corresponding to the second response medium layer are then prepared. First, the analytical data set obtained by the second response medium layer is distinguished. The analytical data set contains data from 10 points. The data from each point corresponds to a type of substance, namely hydrocarbons, alcohols, ethers, aldehydes, ketones, acids, esters, amines, sulfur-containing substances, and nitrogen-containing substances. A number of spices of corresponding categories are taken, and the spices are placed in sample bottles in turn. Within 5-10 minutes, the detection signal intensity is recorded, and the signal intensity is compared with the benchmark data. When the deviation is less than 2%, the spice is selected and the dosage of the spice is determined. According to this method, the comparison of the next type of substance is continued until the comparison of all substances is completed, and the preparation of the substances corresponding to the second response medium layer is completed; (10) Based on the analytical data obtained in (7), the substances corresponding to the third response medium layer are then prepared. First, the analytical data set obtained by the third response medium layer is distinguished. The analytical data set contains data from 10 points. The data from each point corresponds to a type of substance, namely hydrocarbons, alcohols, ethers, aldehydes, ketones, acids, esters, amines, sulfur-containing substances, and nitrogen-containing substances. A number of spices of corresponding categories are taken, and the spices are placed in sample bottles in turn. Within 10-30 minutes, the detection signal intensity is recorded, and the signal intensity is compared with the benchmark data. When the deviation is less than 2%, the spice is selected and the dosage of the spice is determined. According to this method, the comparison of the next type of substance is continued until the comparison of all substances is completed, and the preparation of the substances corresponding to the third response medium layer is completed; (11) The spices selected in steps (8), (9) and (10) are modulated according to the determined amounts to complete the imitation of the essence.

6. The method for blending cigarette flavor according to claim 5, characterized in that: In step (1), 10-20 mL / min of air is used to carry the volatile substances of the fragrance out of the sample bottle.

7. The method for blending cigarette flavor according to claim 5, characterized in that: The method further comprises step (12), wherein the prepared flavor and the flavor to be imitated are manually smelled and fine-tuned to further improve the consistency of the prepared flavor and the flavor to be imitated, thereby finally completing the flavor imitation.

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