CN114689746B - Method, device, electronic equipment and medium for screening tobacco extract characteristics - Google Patents
Method, device, electronic equipment and medium for screening tobacco extract characteristics Download PDFInfo
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- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
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- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N30/04—Preparation or injection of sample to be analysed
- G01N30/06—Preparation
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- G01N33/0001—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00 by organoleptic means
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Abstract
The invention discloses a method, a device, electronic equipment and a medium for screening tobacco extract characteristics. The method comprises the following steps: obtaining a trapped fluid sample and a penetrating fluid sample of the tobacco extract; dividing the trapped fluid sample and the penetrating fluid sample according to the mass data of the trapped fluid sample and the penetrating fluid sample to obtain a first tobacco extract sample and a second tobacco extract sample; extracting the aroma components of the first tobacco extract sample and the second tobacco extract sample to obtain aroma characteristic data of the first tobacco extract sample and aroma characteristic data of the second tobacco extract sample; screening the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample to obtain distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample; screening the distinguishing characteristic data to obtain the tobacco extract characteristics. The technical scheme provides a scientific method for the flavor characteristics of the tobacco extract and provides references for natural spice development and cigarette flavoring application.
Description
Technical Field
The invention relates to the technical research field of tobacco essence and spice, in particular to a method, a device, electronic equipment and a medium for screening tobacco extract characteristics.
Background
In the cigarette production process, the main chemical components and key chemical components of tobacco leaves are one of factors determining the internal quality of cigarette products, and are also the guide for developing tobacco flavors and fragrances.
In the flavoring of cigarettes, various flavors and fragrances are attempted, but the monomer with larger usage amount in the conventional tobacco flavors and fragrances is still tobacco extract. On one hand, the tobacco extract takes tobacco leaves as raw materials, and has the effect of supplementing characteristic aroma of tobacco and penetrating fuming herbal aroma. The tobacco leaf components with specific properties can be directionally enriched through some means, so that the tobacco leaves with certain grade, quality or style can be supplemented and replaced, and the method plays an important role in relieving contradiction of high-quality raw material requirements and improving product quality. On the other hand, the tobacco extract is derived from tobacco leaves, is not limited by a list of additives for the tobacco, and ensures the safety. However, the extracted tobacco extract inevitably contains substances such as protein, starch, wax and the like, and the macromolecular substances can have adverse effects on the sensory of cigarettes.
At present, the use of tobacco extract in cigarette flavoring is still in an empirical state, and screening research on the characteristics of the tobacco extract is in a blank state.
Disclosure of Invention
The invention provides a method, a device, electronic equipment and a medium for screening tobacco extract characteristics, provides a scientific reference method for quantifying tobacco extract fragrance characteristics, and provides references for natural spice development and cigarette perfuming application.
According to an aspect of the present invention, there is provided a method of screening characteristics of tobacco extract, the method comprising:
obtaining a trapped fluid sample and a penetrating fluid sample of the tobacco extract;
dividing the trapped fluid sample and the penetrating fluid sample according to the mass data of the trapped fluid sample and the penetrating fluid sample to obtain a first tobacco extract sample and a second tobacco extract sample; wherein the quality data includes sensory quality and flavor style;
extracting the aroma components of the first tobacco extract sample and the second tobacco extract sample to obtain aroma characteristic data of the first tobacco extract sample and aroma characteristic data of the second tobacco extract sample;
screening the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample to obtain distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample;
And screening the distinguishing characteristic data to obtain tobacco extract characteristics.
According to another aspect of the present invention, there is provided an apparatus for screening characteristics of tobacco extract, the apparatus comprising:
the sample acquisition module is used for acquiring a trapped fluid sample and a penetrating fluid sample of the tobacco extract;
the sample dividing module is used for dividing the trapped fluid sample and the penetrating fluid sample according to the mass data of the trapped fluid sample and the penetrating fluid sample to obtain a first tobacco extract sample and a second tobacco extract sample; wherein the quality data includes sensory quality and flavor style;
the flavor characteristic data obtaining module is used for extracting flavor components of the first tobacco extract sample and the second tobacco extract sample to obtain flavor characteristic data of the first tobacco extract sample and flavor characteristic data of the second tobacco extract sample;
the distinguishing characteristic data obtaining module is used for screening the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample to obtain distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample;
and the tobacco extract characteristic obtaining module is used for screening the distinguishing characteristic data to obtain tobacco extract characteristics.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a method of screening tobacco extract features according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable medium storing computer instructions for causing a processor to perform a method of screening tobacco extract features according to any one of the embodiments of the present invention.
According to the technical scheme, a trapped fluid sample and a penetrating fluid sample of the tobacco extract are obtained; dividing the trapped fluid sample and the penetrating fluid sample according to the mass data of the trapped fluid sample and the penetrating fluid sample to obtain a first tobacco extract sample and a second tobacco extract sample; extracting the aroma components of the first tobacco extract sample and the second tobacco extract sample to obtain aroma characteristic data of the first tobacco extract sample and aroma characteristic data of the second tobacco extract sample; screening the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample to obtain distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample; screening the distinguishing characteristic data to obtain the tobacco extract characteristics. The technical scheme provides a scientific method for the flavor characteristics of the tobacco extract and provides references for natural spice development and cigarette flavoring application.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the application or to delineate the scope of the application. Other features of the present application will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for screening tobacco extract features according to a first embodiment of the present application;
FIG. 2 is a diagram showing the sensory quality of different tobacco extracts according to an embodiment of the present application;
fig. 3 is a radar chart of different tobacco extract flavor styles provided in an embodiment of the present application;
fig. 4 is a main component analysis chart of volatile components of a tobacco extract according to an embodiment of the present application;
FIG. 5 is an OPLS-DA score of a different set of tobacco extracts provided in accordance with an embodiment of the application;
FIG. 6 is a diagram of an OPLS-DA model displacement verification provided in accordance with an embodiment of the application;
Fig. 7 is a schematic structural diagram of a device for screening tobacco extract features according to a second embodiment of the present invention;
fig. 8 is a schematic structural diagram of an electronic device for implementing a method for screening tobacco extract features according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a method for screening tobacco extract features according to a first embodiment of the present invention, where the method may be performed by an apparatus for screening tobacco extract features, the apparatus for screening tobacco extract features may be implemented in hardware and/or software, and the apparatus for screening tobacco extract features may be configured in an electronic device. As shown in fig. 1, the method includes:
s110, obtaining a trapped fluid sample and a penetrating fluid sample of the tobacco extract.
Wherein, the tobacco extract has rich tobacco fragrance in the cigarettes, and shows the effect of tobacco herbal fragrance.
In this embodiment, the trapped fluid may be a liquid-based solution containing the coating Kong Jiezhu.
In the scheme, the tobacco extract can be treated by utilizing a membrane separation technology to obtain a trapped fluid sample and a penetrating fluid sample of the tobacco extract. Wherein, the membrane separation technology is a selective separation technology, which can realize the separation of molecular mixtures with different particle diameters on the molecular level. Can effectively remove macromolecular substances with negative organoleptic quality while retaining original characteristic fragrance of the extract.
In this technical scheme, optionally, obtain the retentate sample and the permeate sample of tobacco extract, include:
performing membrane separation treatment on the ethanol diluted tobacco extract by using a pervaporation membrane to obtain a trapped fluid sample and a permeate fluid sample; wherein the permeate samples comprise permeate samples of different permeation times.
In this example, the ethanol volume fraction may be selected from 5%, 10%, 20% and 30%. The permeation time can be selected from 1min, 3min and 5min.
Specifically, the tobacco extract with the volume fractions of 5%, 10%, 20% and 30% of ethanol is subjected to membrane separation treatment, the permeate is sampled in 1min, 3min and 5min respectively, 4 tobacco extract trapped fluid samples are respectively marked as samples 1, 5, 9 and 13, the samples sampled in 1min are samples 2, 6, 10 and 14, the samples sampled in 3min are samples 3, 7, 11 and 15, the samples sampled in 5min are samples 4, 8, 12 and 16, and the particle size of the selected substance is the smallest in the 5min.
The trapped fluid sample and the penetrating fluid sample of the tobacco extract are obtained through a membrane separation technology, so that the precision of the sample can be improved, and macromolecular substances with negative sensory quality can be effectively removed.
In the technical scheme, the pervaporation membrane is made of polyimide organic membrane material, the whole pore diameter is distributed at 130 nanometers, and the membrane area is 25 square centimeters.
Wherein, the polyimide organic film material is a novel high-temperature-resistant organic polymer film.
The method comprises the steps of carrying out membrane separation treatment on the tobacco extract diluted by ethanol by utilizing a pervaporation membrane to obtain a trapped fluid sample and a permeate fluid sample of the tobacco extract, so that the precision of the sample can be improved.
S120, dividing the trapped fluid sample and the penetrating fluid sample according to the mass data of the trapped fluid sample and the penetrating fluid sample to obtain a first tobacco extract sample and a second tobacco extract sample; wherein the quality data includes sensory quality and flavor style.
The first tobacco extract sample can be a group of samples with poor improvement effect; the second tobacco extract sample may be a group of samples having a better improving effect.
In the scheme, the internal quality of 16 samples can be evaluated to obtain quality data, and the 16 samples are divided according to the quality data to obtain a first tobacco extract sample and a second tobacco extract sample.
In this technical scheme, optionally, dividing the trapped fluid sample and the permeate sample according to the mass data of the trapped fluid sample and the permeate sample to obtain a first tobacco extract sample and a second tobacco extract sample, including:
Performing quality evaluation on the trapped fluid sample and the penetrating fluid sample by using a preset suction evaluation method to obtain quality data of the trapped fluid sample and the penetrating fluid sample;
and analyzing the quality data of the trapped fluid sample and the penetrating fluid sample based on a radar chart analysis technology, and dividing the trapped fluid sample and the penetrating fluid sample to obtain a first tobacco extract sample and a second tobacco extract sample.
In this embodiment, quality data of the samples in 16 may be obtained by performing quality evaluation on the retentate sample and the permeate sample based on the professional-grade suction personnel by referring to the industry-related suction method. Table 1 shows the basic conditions of the organoleptic qualities of different tobacco extracts. Sensory quality includes aroma quality, aroma quantity, smoke concentration, miscellaneous gas, strength, hair permeability, fineness and softness, residue, irritation and smoothness. Table 2 shows the basic conditions of the flavor and style of different tobacco extracts. The flavor style includes cured tobacco flavor, sun cured tobacco flavor, fragrance, sweet flavor, paste flavor, burnt flavor, banksia rose, herb flavor, bean flavor, green flavor, spicy flavor and others. The method adopts ten systems, positive numbers represent improvement, negative numbers represent deterioration, and the final result is the average value of the quality evaluation of each suction personnel, and one decimal is reserved.
TABLE 1
| Sensory quality | 1# | 2# | 3# | 4# | 5# | 6# | 7# | 8# | 9# | 10# | 11# | 12# | 13# | 14# | 15# | 16# |
| Fragrant quality | 1.6 | 4.3 | 1.8 | 4.4 | 2 | 3.3 | 1.6 | 4 | 3 | 4.1 | -2 | 3.1 | 3.5 | 3.2 | 2.3 | 3 |
| Fragrance amount | 3.9 | 3.8 | 2 | 5 | 2.4 | 4.6 | 2.3 | 5.6 | 2.2 | 3.8 | -0.4 | 4 | 2.5 | 4 | 2.2 | 3.4 |
| Flue gas concentration | 4.1 | 2.9 | 1 | 3.4 | 2 | 3 | 1.7 | 4.2 | 1.1 | 2.7 | 0.5 | 4.3 | 2.1 | 3.8 | 1.2 | 2.5 |
| Miscellaneous gas | 2.2 | 2.8 | 1 | 4 | 1.9 | 2.3 | 0.8 | 4 | 2 | 2.6 | -2.1 | 2 | 2.1 | 2.2 | 1.7 | 2.8 |
| Stiff head | 2 | 1.1 | 0 | 2 | 1.1 | 0.3 | 0.4 | 2.4 | 0 | 1.2 | 0 | 2.2 | 1.4 | 1.9 | 0 | 1.7 |
| Hair penetration | -1.4 | 5 | 1.5 | 4.8 | 0.3 | 2.1 | 0.9 | 4.2 | -1 | 3.9 | 3 | 3.2 | 2.2 | 4.1 | 1.5 | 2.8 |
| Fine, smooth and soft | 2.8 | 2.8 | 1.3 | 3.2 | 3.4 | 3.3 | 1.4 | 3.2 | 3.2 | 3.7 | -2 | 2.2 | 3.1 | 1.4 | 2.7 | 2.5 |
| Residue of | -0.6 | 0 | -2.4 | 0 | -2 | -0.2 | -2.6 | 1.5 | 0.2 | 1 | -3 | -1 | -1.3 | -0.8 | -0.2 | 0 |
| Stimulation(s) | 1.8 | 0.4 | -1.7 | 0.6 | -1.9 | 0.6 | -0.7 | 1.3 | 2 | 1.8 | -2 | 0 | 0.2 | 0.8 | -0.2 | -0.6 |
| Round and moist | 2.4 | 1.5 | 0 | -2.2 | -1.8 | 1.2 | 0 | 1 | 2 | 2.7 | -2 | -2 | -0.8 | 0.4 | 0.2 | 0.2 |
TABLE 2
| Flavor style | 1# | 2# | 3# | 4# | 5# | 6# | 7# | 8# | 9# | 10# | 11# | 12# | 13# | 14# | 15# | 16# |
| Flue-cured tobacco fragrance | 2.5 | 4 | 1.5 | 5.6 | 2.9 | 3.8 | 2 | 4.9 | 3 | 3.9 | 2 | 4.2 | 3.5 | 4 | 2.4 | 4.2 |
| Sun-cured tobacco incense | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4 | 0 |
| Faint scent | 0 | 4.2 | 1.5 | 1.7 | 0.2 | 2.5 | 1 | 1.7 | 1.1 | 3.5 | 1.1 | 1 | 2.1 | 2.2 | 1 | 1 |
| Sweet fragrance | 2.1 | 3.1 | 1.8 | 2.8 | 1.5 | 2.9 | 1 | 3 | 2 | 2.9 | 1.2 | 5.9 | 2 | 2.5 | 1.4 | 2 |
| Paste incense | 5 | 0 | 0.7 | 0.5 | 1.4 | 1 | 2 | 1.1 | 1 | 0.4 | 0.4 | 1.4 | 2.8 | 1.7 | 1.4 | 1.3 |
| Burnt incense | 0.5 | 0 | 0.6 | 2.4 | 0.5 | 0.3 | 0.6 | 1.9 | 0.6 | 1.2 | 0.8 | 1.2 | 1 | 0.8 | 0.1 | 1.2 |
| Radix aucklandiae | 0 | 0.3 | 1.1 | 0.2 | 1 | 0.4 | 1.3 | 0.1 | 0 | 0 | 0.6 | 0.8 | 0.7 | 0.3 | 1.3 | 0.5 |
| Herb incense | 0 | 0 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bean flavor | 0.9 | 0.6 | 1 | 0.2 | 0.2 | 0.2 | 0.5 | 0.2 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Qingzi incense | 0 | 0.3 | 0.2 | 0 | 0.2 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0.4 | 0.4 | 0.2 | 0.7 | 0.4 |
| Spicy flavor | 0 | 0 | 0.2 | 0 | 0.1 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Others | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
In the scheme, after quality evaluation is performed on the trapped fluid sample and the permeate fluid sample to obtain quality data, each quality data can be displayed based on a radar chart analysis technology, each quality data is analyzed, the sample with more outstanding quality is used as a second tobacco extract sample, and other samples are used as first tobacco extract samples.
Fig. 2 is a radar chart of sensory quality of different tobacco extracts according to the first embodiment of the present application, and fig. 3 is a radar chart of flavor style of different tobacco extracts according to the first embodiment of the present application. The different quality data are represented by different shapes of graphics, respectively. As shown in fig. 2, the two extract samples of # 4 and # 8 are superior to other samples in terms of organoleptic quality characteristics, such as the 4 indexes of aroma quality, aroma quantity, smoke concentration and permeability, and the impurity gases are more prominent than the other samples, and have more obvious differences from the other samples. As shown in fig. 3, the samples No. 4 and No. 8 are more prominent in three indexes of flue-cured tobacco aroma, sweet aroma and burnt aroma. The 12# sample is prominent on sweet fragrance, the 2# sample is prominent on faint scent, the 1# sample is prominent on paste fragrance index, and the other indexes are not obvious. Therefore, the samples # 4 and # 8 can be selected as a group having a better improvement effect, and the other samples as a group having a poor improvement effect.
By evaluating the quality of the tobacco extract samples, the samples can be effectively distinguished.
S130, extracting the aroma components of the first tobacco extract sample and the second tobacco extract sample to obtain aroma characteristic data of the first tobacco extract sample and aroma characteristic data of the second tobacco extract sample.
Wherein the flavor profile data may refer to different compounds in the tobacco extract.
In the scheme, the flavor components of the first tobacco extract sample and the second tobacco extract sample can be extracted by adopting different technical means respectively, so that the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample are obtained.
In this technical scheme, optionally, extracting the aroma components of the first tobacco extract sample and the second tobacco extract sample to obtain aroma characteristic data of the first tobacco extract sample and aroma characteristic data of the second tobacco extract sample, including:
eluting the first tobacco extract sample and the second tobacco extract sample by adopting a solid phase extraction column containing diatomite to obtain the eluted first tobacco extract sample and second tobacco extract sample;
Extracting the aroma components of the eluted first tobacco extract sample and second tobacco extract sample through a DB-5MS nonpolar capillary column to obtain the aroma characteristics of the first tobacco extract sample and the aroma characteristics of the second tobacco extract sample;
and searching the relative contents of the flavor characteristics of the first tobacco extract sample and the flavor characteristics of the second tobacco extract sample by using a non-target GC/MS internal standard relative quantitative method to obtain flavor characteristic data of the first tobacco extract sample and flavor characteristic data of the second tobacco extract sample.
Specifically, eluting the 16 samples by adopting an SPE (Solid Phase Extraction ) small column containing diatomite to obtain eluted first tobacco extract samples and eluted second tobacco extract samples. The eluting solvent adopts dichloromethane, the eluting solvent is eluted for a plurality of times, and the eluent is concentrated for standby; then based on GC/MS (Gas chromatograph-mass spectrometer, a gas chromatograph-mass spectrometer is a mass spectrometer), adopting an analysis method of aroma components of the tobacco extract, selecting a DB-5MS nonpolar capillary column to complete the aroma component data acquisition work of all samples, and obtaining the aroma characteristics of the first tobacco extract sample and the aroma characteristics of the second tobacco extract sample; and adopting MPP (Masshunter mass Profiler Professional) software deconvolution and standard spectral library retrieval analysis means to establish a method for efficiently and quantitatively analyzing volatile and semi-volatile flavor components in the tobacco extract by using a GC/MS internal standard method, adopting a non-target GC/MS internal standard (n-heptadecane is selected by an internal standard) relative quantification method to retrieve the relative contents of flavor characteristics of the first tobacco extract sample and flavor characteristics of the second tobacco extract sample after filtering by MPP software, and obtaining flavor characteristic data of the first tobacco extract sample and flavor characteristic data of the second tobacco extract sample.
Table 3 shows the relative amounts of volatile and semi-volatile components for 16 different tobacco extract samples. Each sample was analyzed twice. The first tobacco extract sample obtained by extraction has 29 flavor characteristics in total with the flavor characteristics of the second tobacco extract sample. Of these, 43.0@41.48158 and 126.0@41.482418 are two compounds, 43.0 and 126.0 are compound characteristic ions, and 41.481228 and 41.482418 are retention times.
TABLE 3 Table 3
The flavor characteristic data of the sample are extracted, so that a basis is provided for natural spice development and cigarette flavoring application.
And S140, screening the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample to obtain the distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample.
The distinguishing characteristic data may refer to flavor characteristic data with a large difference between the first tobacco extract sample and the second tobacco extract sample.
In this example, 29 kinds of volatile and semi-volatile flavor characteristic data are used as targets, and an unsupervised principal component analysis is performed first, then a supervised OPLS-DA analysis is performed, and then a variance test is performed to screen distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample.
In this technical scheme, optionally, screening the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample to obtain distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample includes:
screening the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample by adopting partial least square discriminant analysis to obtain the distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample.
Fig. 4 is an analysis chart of the main components of volatile components of tobacco extract according to the first embodiment of the present application, and the total number of samples of the tobacco extract is 16, wherein the number of samples 4# and 8# are taken as 2 groups, and the other samples are taken as 1 group. As shown in fig. 4, most of the samples of the extract group 1 and the extract group 2 are within 95% confidence ellipses, only the sample 8 is outside the 95% confidence interval, and there are no effective separation between the samples, and there are individual overlapping samples, which means that the closer the composition and concentration of the molecules contained in the sample species are, the closer the molecular composition and concentration are, which may be the aggregation between the same extracts, or the different extracts, but the closer the component contents are. The PCA method of unsupervised analysis cannot ignore the errors in the groups and eliminate random errors irrelevant to the research purpose, so that the method is unfavorable for finding the differences among the groups, and then a supervised method is adopted for further screening research.
In this example, an ortholog least squares discriminant analysis (ortholog normal PLS-DA, OPLS-DA) was performed using SIMCA 14.1 software to find characteristic volatile fragrance components between groups 1 and 2. R is R 2 X、R 2 Y、Q 2 For assessing the effectiveness of the OPLS-DA model, R 2 X、R 2 Y、Q 2 The closer the value is to 1, the better the model constructed.
Fig. 5 is an OPLS-DA score chart of different sets of tobacco extracts provided in the first embodiment of the application, and fig. 6 is an OPLS-DA model displacement verification chart provided in the first embodiment of the application. As shown in FIG. 5, R 2 X、R 2 Y、Q 2 The values of 0.795,0.85,0.395,1 and 2 groups of samples are respectively positioned at the two sides of the positive and negative axes of the 1 st principal component within the 95% confidence ellipse, which indicates that the volatile and semi-volatile components of the 1 group and the 2 group of samples are effectively distinguished, and the differences exist in types and relative contents. The variable order defining class Y when building the OPLA-DA model was further randomly arranged 200 times to verify the reliability of the OPLS-DA model. As shown in FIG. 6, R 2 ＝0.552，Q 2 ＝-0.906，Q 2 The intercept on the Y axis is a negative value, which indicates that the model has no overfitting phenomenon, and the OPLS-DA model has good prediction capability and can be used for searching subsequent characteristic mark components.
By acquiring the distinguishing characteristic data, the distinguishing characteristics of the first tobacco extract sample and the second tobacco extract sample can be screened out.
And S150, screening the distinguishing characteristic data to obtain tobacco extract characteristics.
The tobacco extract characteristic can be the characteristic capable of improving the internal quality of cigarettes.
In this embodiment, the distinguishing feature data may be screened by calculating VIP values and significance values of the distinguishing feature data, to obtain tobacco extract features.
In the technical scheme, optionally, calculating the variable projection importance of the distinguishing characteristic data to obtain a variable projection importance value; wherein the variable projection importance is used to characterize scoring indicators of the fragrance profile data;
screening the distinguishing characteristic data according to the variable projection importance value to obtain target distinguishing characteristic data;
calculating the significance of the target distinguishing characteristic data to obtain a significance value; wherein the significance is used for characterizing the significance variability of the target distinguishing characteristic data;
and screening the target distinguishing characteristic data by utilizing the significance value and the predetermined characteristic importance degree to obtain the tobacco extract characteristic.
In the scheme, in order to identify variable indexes which significantly contribute to sample classification and variability, the VIP values of the distinguishing characteristic data are calculated, the VIP values are ordered, and the difference indexes are screened according to the principle that the VIP values are more than 1, so that the target distinguishing characteristic data are obtained. VIP represents a variable projection importance value. As shown in table 4, 11 potential difference indexes are initially screened out according to VIP value >1 principle.
TABLE 4 Table 4
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In the scheme, the tobacco extract characteristics can be determined by calculating the significance value of the target distinguishing characteristic data and comparing the significance value.
Specifically, SPSS software was used to screen for characteristic volatile materials by one-way analysis of variance, with P < 0.05 representing materials with significant differences and P < 0.01 representing materials with very significant differences. As is clear from Table 5, bis (2-propylpentyl) phthalate (2-propylhexyl) ester, 1-Diphenyl (t-butyl) siloxy-4-methoxybenzene (1-dipheny-l-cyclohexane), decane (Nonadecane), n-hexadecanoic acid (n-Hexadecanoic acid, hexadecane) with P value < 0.01,1,4-Phthalic acid bis (2-ethylhexyl) ester (1, 4-Benzenedicarboxylic acid, bis (2-ethylhexyl) ester, 7-Methyl-oxa-cyclododecane-6, 10-dien-2-one (7-Methyl-cycloductodeca-6, 10-dien-2-one), nicotine (Pycarlyne), 3- (1-Methyl-2-hexadecanoic acid) with P value < 0.01,1,4-Phthalic acid bis (2-ethylhexyl) ester (1, 4-Benzenedicarboxylic acid, bis (2-Methyl-phenyl) ester), 7-Methyl-oxa-cyclododecane-6, 10-dien-2-one, nicotine (Pycarlyne), 3- (1-Methyl-2-hexadecanoic acid) with P value < 62, 5-hydroxy-4-6, 10-dien-2-one, 3- (1-Methyl-2-Methyl) and 3-Methyl-4-cyclohexyl) with P value < 62.5-Methyl-4-2-one. And the average value content of all important mark components is that 2 groups of samples are more than 1 group of samples, so that the method has stronger significance. From the above data, these 11 compounds can be used as signature markers to distinguish between group 1 and group 2. Wherein P represents significance.
TABLE 5
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In the scheme, the distinguishing characteristic data meeting the significance comparison threshold can be screened according to the predetermined characteristic importance degree, so that the tobacco extract characteristics can be determined.
Specifically, six substances, namely, phtalic acid, di (2-propyl) ester, 1-Diphenyl (tert-butyl) siloxy-4-methoxybenzene, nonadecane, hexadecane, 1,4-Benzenedicarboxylic acid, bis (2-ethyl) ester and Dibutyl phthalate, are not substances which have influence on the fragrance of the product in a strict sense, and do not include markers. 43.0@41.48158, which is prepared qualitatively by standard profile comparison, does not incorporate a marker.
n-Hexadecanoic acid, 7-Methyl-oxa-cyclocodeca-6, 10-dien-2-one, pyridine,3- (1-Methyl-2-pyrrosinyl) -, (S) -and 2-Cyclohexen-1-one,4- (3-hydroxy-1-butenyl) -3, 5-trimethyl- (Chinese names hexadecanoic acid, 7-Methyl-oxa-cyclododecane-6, 10-dien-2-one, nicotine and 3, 5-trimethyl-4- (3-hydroxy-1-butenyl) -2-Cyclohexen-1-one, respectively), all belong to the flavour substances in tobacco, and the binding functional group structure is included in the range of the markers. The series of indexes are forward indexes, namely the series of compounds are obviously and positively correlated with the sensory quality of the sample, and the higher the content is, the better the effect of improving the internal quality of the cigarettes is.
By screening the characteristics of the tobacco extract, a scientific reference method is provided for quantifying the flavor characteristics of the tobacco extract, and references are provided for natural spice development and cigarette flavoring application.
According to the technical scheme, a trapped fluid sample and a penetrating fluid sample of the tobacco extract are obtained; dividing the trapped fluid sample and the penetrating fluid sample according to the mass data of the trapped fluid sample and the penetrating fluid sample to obtain a first tobacco extract sample and a second tobacco extract sample; extracting the aroma components of the first tobacco extract sample and the second tobacco extract sample to obtain aroma characteristic data of the first tobacco extract sample and aroma characteristic data of the second tobacco extract sample; screening the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample to obtain distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample; screening the distinguishing characteristic data to obtain the tobacco extract characteristics. By executing the technical scheme, a scientific method is provided for the flavor characteristics of the tobacco extract, and references are provided for natural spice development and cigarette flavoring application.
Example two
Fig. 7 is a schematic structural diagram of a device for screening tobacco extract features according to a second embodiment of the present invention. As shown in fig. 7, the apparatus includes:
A sample acquisition module 710 for acquiring a retentate sample and a permeate sample of the tobacco extract;
the sample dividing module 720 is configured to divide the trapped fluid sample and the permeate sample according to the mass data of the trapped fluid sample and the permeate sample, so as to obtain a first tobacco extract sample and a second tobacco extract sample; wherein the quality data includes sensory quality and flavor style;
the flavor characteristic data obtaining module 730 is configured to extract flavor components of the first tobacco extract sample and the second tobacco extract sample, so as to obtain flavor characteristic data of the first tobacco extract sample and flavor characteristic data of the second tobacco extract sample;
the distinguishing characteristic data obtaining module 740 is configured to screen the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample to obtain distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample;
and the tobacco extract characteristic obtaining module 750 is used for screening the distinguishing characteristic data to obtain tobacco extract characteristics.
In this embodiment, the sample acquiring module 710 is optionally specifically configured to:
performing membrane separation treatment on the ethanol diluted tobacco extract by using a pervaporation membrane to obtain a trapped fluid sample and a permeate fluid sample; wherein the permeate samples comprise permeate samples of different permeation times.
In the technical scheme, the pervaporation membrane is made of polyimide organic membrane material, the whole pore diameter is distributed at 130 nanometers, and the membrane area is 25 square centimeters.
In this embodiment, the sample dividing module 720 is optionally specifically configured to:
performing quality evaluation on the trapped fluid sample and the penetrating fluid sample by using a preset suction evaluation method to obtain quality data of the trapped fluid sample and the penetrating fluid sample;
and analyzing the quality data of the trapped fluid sample and the penetrating fluid sample based on a radar chart analysis technology, and dividing the trapped fluid sample and the penetrating fluid sample to obtain a first tobacco extract sample and a second tobacco extract sample.
In this embodiment, optionally, the scent feature data obtaining module 730 is specifically configured to:
eluting the first tobacco extract sample and the second tobacco extract sample by adopting a solid phase extraction column containing diatomite to obtain the eluted first tobacco extract sample and second tobacco extract sample;
extracting the aroma components of the eluted first tobacco extract sample and second tobacco extract sample through a DB-5MS nonpolar capillary column to obtain the aroma characteristics of the first tobacco extract sample and the aroma characteristics of the second tobacco extract sample;
And searching the relative contents of the flavor characteristics of the first tobacco extract sample and the flavor characteristics of the second tobacco extract sample by using a non-target GC/MS internal standard relative quantitative method to obtain flavor characteristic data of the first tobacco extract sample and flavor characteristic data of the second tobacco extract sample.
In this embodiment, optionally, the distinguishing feature data obtaining module 740 is specifically configured to:
screening the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample by adopting partial least square discriminant analysis to obtain the distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample.
In this technical solution, optionally, the tobacco extract feature obtaining module 750 is specifically configured to:
calculating the variable projection importance of the distinguishing characteristic data to obtain a variable projection importance value; wherein the variable projection importance is used to characterize scoring indicators of the fragrance profile data;
screening the distinguishing characteristic data according to the variable projection importance value to obtain target distinguishing characteristic data;
calculating the significance of the target distinguishing characteristic data to obtain a significance value; wherein the significance is used for characterizing the significance variability of the target distinguishing characteristic data;
And screening the target distinguishing characteristic data by utilizing the significance value and the predetermined characteristic importance degree to obtain the tobacco extract characteristic.
The device for screening the tobacco extract features provided by the embodiment of the invention can be used for executing the method for screening the tobacco extract features provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
Example III
Fig. 8 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 8, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as a method of screening tobacco extract features.
In some embodiments, a method of screening tobacco extract features may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more of the steps of a method of screening tobacco extract features described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform a method of screening tobacco extract features in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (5)
1. A method of screening tobacco extract features comprising:
obtaining a trapped fluid sample and a penetrating fluid sample of the tobacco extract;
dividing the trapped fluid sample and the penetrating fluid sample according to the mass data of the trapped fluid sample and the penetrating fluid sample to obtain a first tobacco extract sample and a second tobacco extract sample; wherein the quality data includes sensory quality and flavor style;
Extracting the aroma components of the first tobacco extract sample and the second tobacco extract sample to obtain aroma characteristic data of the first tobacco extract sample and aroma characteristic data of the second tobacco extract sample;
screening the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample to obtain distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample;
screening the distinguishing characteristic data to obtain tobacco extract characteristics;
wherein, obtain the retentate sample and the permeate sample of tobacco extract, include:
performing membrane separation treatment on the ethanol diluted tobacco extract by using a pervaporation membrane to obtain a trapped fluid sample and a permeate fluid sample; wherein the permeate samples comprise permeate samples of different permeation times;
screening the distinguishing characteristic data to obtain tobacco extract characteristics, wherein the screening comprises the following steps:
calculating the variable projection importance of the distinguishing characteristic data to obtain a variable projection importance value; wherein the variable projection importance is used to characterize scoring indicators of the fragrance profile data;
screening the distinguishing characteristic data according to the variable projection importance value to obtain target distinguishing characteristic data;
Calculating the significance of the target distinguishing characteristic data to obtain a significance value; wherein the significance is used for characterizing the significance variability of the target distinguishing characteristic data;
screening the target distinguishing characteristic data by utilizing the significance value and the predetermined characteristic importance degree to obtain tobacco extract characteristics;
dividing the trapped fluid sample and the penetrating fluid sample according to the mass data of the trapped fluid sample and the penetrating fluid sample to obtain a first tobacco extract sample and a second tobacco extract sample, wherein the method comprises the following steps:
performing quality evaluation on the trapped fluid sample and the penetrating fluid sample by using a preset suction evaluation method to obtain quality data of the trapped fluid sample and the penetrating fluid sample;
analyzing the quality data of the trapped fluid sample and the permeate fluid sample based on a radar chart analysis technology, and dividing the trapped fluid sample and the permeate fluid sample to obtain a first tobacco extract sample and a second tobacco extract sample;
extracting the aroma components of the first tobacco extract sample and the second tobacco extract sample to obtain aroma characteristic data of the first tobacco extract sample and aroma characteristic data of the second tobacco extract sample, wherein the method comprises the following steps:
Eluting the first tobacco extract sample and the second tobacco extract sample by adopting a solid phase extraction column containing diatomite to obtain the eluted first tobacco extract sample and second tobacco extract sample;
extracting the aroma components of the eluted first tobacco extract sample and second tobacco extract sample through a DB-5MS nonpolar capillary column to obtain the aroma characteristics of the first tobacco extract sample and the aroma characteristics of the second tobacco extract sample;
retrieving the relative contents of the flavor characteristics of the first tobacco extract sample and the flavor characteristics of the second tobacco extract sample by using a non-target GC/MS internal standard relative quantitative method to obtain flavor characteristic data of the first tobacco extract sample and flavor characteristic data of the second tobacco extract sample;
screening the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample to obtain distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample, wherein the distinguishing characteristic data comprises:
screening the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample by adopting partial least square discriminant analysis to obtain the distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample.
2. The method of claim 1, wherein the pervaporation membrane is made of polyimide organic membrane material, the overall pore size is distributed at 130 nm, and the membrane area is 25 square centimeters.
3. An apparatus for screening tobacco extract features, comprising:
the sample acquisition module is used for acquiring a trapped fluid sample and a penetrating fluid sample of the tobacco extract;
the sample dividing module is used for dividing the trapped fluid sample and the penetrating fluid sample according to the mass data of the trapped fluid sample and the penetrating fluid sample to obtain a first tobacco extract sample and a second tobacco extract sample; wherein the quality data includes sensory quality and flavor style;
the flavor characteristic data obtaining module is used for extracting flavor components of the first tobacco extract sample and the second tobacco extract sample to obtain flavor characteristic data of the first tobacco extract sample and flavor characteristic data of the second tobacco extract sample;
the distinguishing characteristic data obtaining module is used for screening the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample to obtain distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample;
The tobacco extract characteristic obtaining module is used for screening the distinguishing characteristic data to obtain tobacco extract characteristics;
the sample acquisition module is specifically used for:
performing membrane separation treatment on the ethanol diluted tobacco extract by using a pervaporation membrane to obtain a trapped fluid sample and a permeate fluid sample; wherein the permeate samples comprise permeate samples of different permeation times;
the tobacco extract characteristic obtaining module is specifically used for:
calculating the variable projection importance of the distinguishing characteristic data to obtain a variable projection importance value; wherein the variable projection importance is used to characterize scoring indicators of the fragrance profile data;
screening the distinguishing characteristic data according to the variable projection importance value to obtain target distinguishing characteristic data;
calculating the significance of the target distinguishing characteristic data to obtain a significance value; wherein the significance is used for characterizing the significance variability of the target distinguishing characteristic data;
screening the target distinguishing characteristic data by utilizing the significance value and the predetermined characteristic importance degree to obtain tobacco extract characteristics;
the sample dividing module is specifically used for:
Performing quality evaluation on the trapped fluid sample and the penetrating fluid sample by using a preset suction evaluation method to obtain quality data of the trapped fluid sample and the penetrating fluid sample;
analyzing the quality data of the trapped fluid sample and the permeate fluid sample based on a radar chart analysis technology, and dividing the trapped fluid sample and the permeate fluid sample to obtain a first tobacco extract sample and a second tobacco extract sample;
the fragrance characteristic data obtaining module is specifically used for:
eluting the first tobacco extract sample and the second tobacco extract sample by adopting a solid phase extraction column containing diatomite to obtain the eluted first tobacco extract sample and second tobacco extract sample;
extracting the aroma components of the eluted first tobacco extract sample and second tobacco extract sample through a DB-5MS nonpolar capillary column to obtain the aroma characteristics of the first tobacco extract sample and the aroma characteristics of the second tobacco extract sample;
retrieving the relative contents of the flavor characteristics of the first tobacco extract sample and the flavor characteristics of the second tobacco extract sample by using a non-target GC/MS internal standard relative quantitative method to obtain flavor characteristic data of the first tobacco extract sample and flavor characteristic data of the second tobacco extract sample;
The distinguishing characteristic data obtaining module is specifically configured to:
screening the flavor characteristic data of the first tobacco extract sample and the flavor characteristic data of the second tobacco extract sample by adopting partial least square discriminant analysis to obtain the distinguishing characteristic data of the first tobacco extract sample and the second tobacco extract sample.
4. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a method of screening tobacco extract features of any one of claims 1-2.
5. A computer readable medium having stored thereon computer instructions for causing a processor to perform a method of screening tobacco extract features according to any one of claims 1-2 when executed.
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