CN102866212A - Judgment method of tobacco leaf strong-flavor style highlight degree based on flavor components - Google Patents
Judgment method of tobacco leaf strong-flavor style highlight degree based on flavor components Download PDFInfo
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Abstract
The invention relates to a judgment method of tobacco leaf strong-flavor style highlight degree based on flavor components, and the method is characterized by comprising following steps of (1) building a strong-flavor tobacco leaf sample bank; (2) manually judging the flavor style highlight degree of the strong-flavor tobacco leaf sample; (3) building a strong-flavor tobacco leaf flavor component database; (4) screening flavor component characteristic indexes of the strong-flavor tobacco leaf style highlight degree; (5) utilizing the tobacco leaf flavor component judgment to build a strong-flavor characteristic model; (6) verifying the model; (7) determining unknown sample flavor components; and (8) judging the strong-flavor style highlight degree of an unknown sample. The method has advantages that the judgment model of the tobacco leaf strong-flavor style highlight degree based on the flavor components is built, the subjectivity and uncertainty existing in the judgment made by the subjective recognition of the evaluation personnel in the prior art can be overcome, and the science, objectivity and accuracy for judging the taste characteristics can be improved.
Description
Technical field
The present invention relates to the composition measurement of tobacco leaf fragrance, specifically a kind of method of discrimination that highlights degree based on the tobacco leaf Luzhou-flavor style of flavor component.
Background technology
The Luzhou-flavor tobacco leaf is the important raw and processed materials of Chinese-style cigarette, mainly rely on sensory evaluating smoking expert that tobacco sample is smoked panel test manually to judge to the method for raw tobacco material Luzhou-flavor Style Evaluation at present, this method depends on the personnel's that smoke panel test Subjective, inevitably have certain subjectivity and uncertainty, the processing scheme of formulating differentiation according to the raw tobacco material characteristic for cigarette enterprise brings certain difficulty.
Because the odor type feature of tobacco leaf has multiple fragrance composition synergy to form, this provides theoretical foundation for utilizing flavor component to differentiate tobacco leaf odor type type.The present invention just is being based on this mechanism and a kind of mathematical model of utilizing flavor component to make up of setting up judges that tobacco leaf Luzhou-flavor style highlights the method for degree.
Summary of the invention
A kind of method of discrimination that highlights degree based on the tobacco leaf Luzhou-flavor style of flavor component that purpose of the present invention provides for the subjective impairment that overcomes above-mentioned existing tobacco leaf Luzhou-flavor style assessment method existence just.
The objective of the invention is to be achieved through the following technical solutions:
The method of discrimination that tobacco leaf Luzhou-flavor style based on flavor component of the present invention highlights degree may further comprise the steps:
1.The foundation in Luzhou-flavor tobacco sample storehouse.Choose 60 of C3F grade Luzhou-flavor tobacco samples, roll, set up Luzhou-flavor tobacco sample storehouse.
Luzhou-flavor tobacco sample odor type style highlights the artificial cognition of degree.To the sample in the tobacco sample storehouse of step 1 formation, organize the expert that smokes panel test, utilize scaling law that its Luzhou-flavor style is highlighted degree and differentiate, finish the artificial cognition that these sample styles highlight degree.
The foundation in Luzhou-flavor tobacco leaf fragrance compositional data storehouse.To the tobacco sample storehouse that step 1 forms, adopt simultaneously distillation extraction method.Take by weighing offal 20.0g and place the 1000ml flat bottom flask, add 350ml distilled water, 90g sodium chloride, flask is placed in the simultaneously left side of distillation extraction instrument, then in the 100ml flat bottom flask, add the 45ml methylene chloride, place the simultaneously right side of distillation extraction instrument, carry out while distillation extraction 2h after the water boiling to be distilled, add the 9g anhydrous sodium sulfate to the dichloromethane extraction of experiment gained is middle mutually, and dried overnight.Dried extract is transferred in the concentrated bottle is concentrated into 1ml, add mark phenethyl acetate in the 10 μ l, be the GC/MS analytic liquid.Adopt gas chromatography-mass spectrum (GC/MS) combined instrument to measure.Gas chromatograph is the AT-7890A type, and mass spectrometer is the AT-5975C type.The GC condition: capillary column is HP-ULTRA2 (50m * 0.2mm * 0.33 μ m); 280 ℃ of injector temperatures; Split ratio 10:1; Sample size 1.0 μ l; Heating schedule: 60 ℃ of initial temperature, keep 1min, 2 ℃/min is warmed up to 280 ℃, and 280 ℃ keep 20min.MS condition: 230 ℃ of ion source temperatures; 150 ℃ of quadrupole rod temperature are selected ion detection.Flavor matter is qualitative: qualitative by GC/MS qualification result and Wiley library searching.Flavor matter is quantitative: adopt inner mark method ration.Utilize GC-MS to its Main Fragrance (furfural, furfuryl alcohol, 5 methyl furfural, benzaldehyde, 6-methyl-5-hepten-2-one, phenmethylol, phenylacetaldehyde, linalool, bata-phenethyl alcohol, isophorone, the oxidation isophorone, dorinone, β-damascone, farnesyl acetone, geranyl acetone, alpha, beta-lonone, the 2-acetyl furan, solanone, dihydroactinidiolide, Megastigmatrienone A, Megastigmatrienone B, Megastigmatrienone C, Megastigmatrienone D, 6,10,14-trimethyl-2-15 ketone) measure, set up Luzhou-flavor tobacco leaf fragrance compositional data storehouse.
The Luzhou-flavor tobacco style highlights the screening of the flavor component characteristic index of degree.Flavor component index and Luzhou-flavor style highlight degree and carry out Successive Regression, introduce according to the principle of p＜0.05, and selected flavor component is respectively furfural, 5 methyl furfural, 2-acetyl furan, geranyl acetone.
5.Utilize Luzhou-flavor tobacco leaf flavor component to differentiate the foundation that odor type highlights Degree Model.Choose at random 40 tobacco sample data as the modeling data collection, utilize the support vector machine regression model that the quantitative relationship that four kinds of characteristic indexs and tobacco leaf Luzhou-flavor style highlight degree is simulated, set up the discrimination model that highlights degree based on the tobacco leaf Luzhou-flavor style of flavor component, model parameter is as follows: the type that support vector machine returns is EPSILON-SVR, the kernel function type is RBF, Degree=3, Gamma=0.5, Coef0=0.001, Eps=0.001, C=1, nu=0.5, shrinking=1, p=0.01, probability=1.
The check of model.20 tobacco sample data definitions outside modeling data integrated are as the check data collection.Utilizing the odor type style of setting up in the step 2 to highlight the mensuration discrimination model predicts the Luzhou-flavor style and features of check data collection (n=20), draw the scatter diagram of measured value and predicted value, and related coefficient, the coefficient of determination and the average relative error of calculating predicted value and measured value.Hence one can see that, and related coefficient is 0.9852 between the predicted value of model and the measured value, and the coefficient of determination is 0.9430, average relative error 8.22%.
The mensuration of unknown sample flavor component.Utilize in the step 3 describing method that the flavor component of unknown sample is measured.
Unknown sample Luzhou-flavor style highlights the differentiation of degree.To obtain unknown sample flavor component substitution model in the step 7, Output rusults, the Luzhou-flavor style of finishing unknown sample highlights the differentiation of degree.
The invention has the advantages that: set up the discrimination model that highlights degree based on the tobacco leaf Luzhou-flavor style of flavor component, that the differentiation that highlights degree for tobacco leaf Luzhou-flavor style provides is objective, means accurately, overcome the Subjective that mainly depends on the personnel that smoke panel test in the prior art and judged existing subjectivity and uncertainty, improved science, objectivity and accuracy that the mouthfeel feature is judged.
?
Embodiment
The present invention will be further described below in conjunction with instantiation:
Embodiment 1
1 part of C3F grade tobacco sample detects through GC-MS, and its furfural, 5 methyl furfural, 2-acetyl furan, geranyl acetone content are respectively 36.13 μ g/g, 5.06 μ g/g, 3.30 μ g/g, 30.65 μ g/g, bring model into, draw its Luzhou-flavor style and highlight degree and must be divided into 56.Smoke panel test through the expert, its actual Luzhou-flavor style highlights degree and must be divided into 52, and relative error rate is 7.69%.
Embodiment 2
1 part of C3F grade tobacco sample detects through GC-MS, and its furfural, 5 methyl furfural, 2-acetyl furan, geranyl acetone content are respectively 61.55 μ g/g, 3.05 μ g/g, 5.76 μ g/g, 14.38 μ g/g, bring model into, draw its Luzhou-flavor style and highlight degree and must be divided into 74.Smoke panel test through the expert, its actual Luzhou-flavor style highlights degree and must be divided into 70, and relative error rate is 5.71%.
Embodiment 3
1 part of C3F grade tobacco sample detects through GC-MS, and its furfural, 5 methyl furfural, 2-acetyl furan, geranyl acetone content are respectively 65.03 μ g/g, 4.92 μ g/g, 6.87 μ g/g, 12.07 μ g/g, bring model into, draw its Luzhou-flavor style and highlight degree and must be divided into 81.Smoke panel test through the expert, its actual Luzhou-flavor style highlights degree and must be divided into 85, and relative error rate is 4.71%.
Claims (3)
1. method of discrimination that highlights degree based on the tobacco leaf Luzhou-flavor style of flavor component, it is characterized in that: this method of discrimination may further comprise the steps:
(1) 60 of C3F grade Luzhou-flavor tobacco samples are chosen in the foundation in Luzhou-flavor tobacco sample storehouse, roll, and set up Luzhou-flavor tobacco sample storehouse;
(2) Luzhou-flavor tobacco sample odor type style highlights the artificial cognition of degree, to the sample in the tobacco sample storehouse of step 1 formation, organize the expert that smokes panel test, with reference to tobacco and tobacco product sensory evaluation method (YC/T138-1998), carry out the sensory evaluation of Luzhou-flavor mouthfeel feature, standards of grading are: the most typical 100～76; Typical case 75～51; Inferior typical 50～26; Be not true to type 25～1, its Luzhou-flavor style highlighted degree differentiate, finish the artificial cognition that these sample styles highlight degree;
(3) foundation in Luzhou-flavor tobacco leaf fragrance compositional data storehouse to the tobacco sample storehouse that step 1 forms, adopts while distillation extraction method that each sample is extracted, and adopts gas chromatography-mass spectrum (GC/MS) combined instrument to analyze mensuration to each sample extract; Flavor matter is qualitative: qualitative by GC/MS qualification result and Wiley library searching; Flavor matter is quantitative: adopt inner mark method ration; Utilize GC-MS to its Main Fragrance (furfural, furfuryl alcohol, 5 methyl furfural, benzaldehyde, 6-methyl-5-hepten-2-one, phenmethylol, phenylacetaldehyde, linalool, bata-phenethyl alcohol, isophorone, the oxidation isophorone, dorinone, β-damascone, farnesyl acetone, geranyl acetone, alpha, beta-lonone, the 2-acetyl furan, solanone, dihydroactinidiolide, Megastigmatrienone A, Megastigmatrienone B, Megastigmatrienone C, Megastigmatrienone D, 6,10,14-trimethyl-2-15 ketone) measure, set up Luzhou-flavor tobacco leaf fragrance compositional data storehouse;
(4) the Luzhou-flavor tobacco style highlights the screening of the flavor component characteristic index of degree, flavor component index and Luzhou-flavor style highlight degree and carry out Successive Regression, principle according to p＜0.05 is introduced, and selected flavor component is respectively furfural, 5 methyl furfural, 2-acetyl furan, geranyl acetone;
(5) utilize the tobacco leaf flavor component to differentiate the foundation that Luzhou-flavor cigarette style highlights Degree Model, choose at random 40 tobacco sample data as the modeling data collection, utilize the support vector machine regression model that the quantitative relationship that four kinds of characteristic indexs and tobacco leaf Luzhou-flavor style highlight degree is simulated, set up the discrimination model that highlights degree based on the tobacco leaf Luzhou-flavor style of flavor component, model parameter is as follows: the type that support vector machine returns is EPSILON-SVR, the kernel function type is RBF, Degree=3, Gamma=0.5, Coef0=0.001, Eps=0.001, C=1, nu=0.5, shrinking=1, p=0.01, probability=1;
(6) check of model, 20 tobacco sample data definitions outside modeling data integrated are as the check data collection, utilizing the Luzhou-flavor style of setting up in the step 2 to highlight the degree discrimination model predicts the Luzhou-flavor style and features of check data collection (n=20), calculate the predicted value average relative error, average relative error 8.22%;
(7) mensuration of unknown sample flavor component utilizes in the step 3 describing method that the flavor component of unknown sample is measured;
(8) unknown sample Luzhou-flavor style highlights the differentiation of degree, will obtain unknown sample flavor component substitution model in the step 7, Output rusults, and the Luzhou-flavor style of finishing unknown sample highlights the differentiation of degree.
2. the method for discrimination that highlights degree based on the tobacco leaf Luzhou-flavor style of flavor component according to claim 1, it is characterized in that: adopting simultaneously in the step (3), the distillation extraction method to the concrete grammar that each sample extracts is: take by weighing offal 20.0g and place the 1000ml flat bottom flask, add 350ml distilled water, 90g sodium chloride, flask is placed in the simultaneously left side of distillation extraction instrument, then in the 100ml flat bottom flask, add the 45ml methylene chloride, place the simultaneously right side of distillation extraction instrument, carry out while distillation extraction 2h after the water boiling to be distilled, add the 9g anhydrous sodium sulfate to the dichloromethane extraction of experiment gained in mutually, and dried overnight, dried extract is transferred in the concentrated bottle is concentrated into 1ml, add mark phenethyl acetate in the 10 μ l, be the GC/MS analytic liquid.
3. the method for discrimination that highlights degree based on the tobacco leaf Luzhou-flavor style of flavor component according to claim 1, it is characterized in that: used gas chromatograph is the AT-7890A type in the step (3), mass spectrometer is the AT-5975C type; The GC condition: capillary column is HP-ULTRA2 (50m * 0.2mm * 0.33 μ m); 280 ℃ of injector temperatures; Split ratio 10:1; Sample size 1.0 μ l; Heating schedule: 60 ℃ of initial temperature, keep 1min, 2 ℃/min is warmed up to 280 ℃, and 280 ℃ keep 20min; MS condition: 230 ℃ of ion source temperatures; 150 ℃ of quadrupole rod temperature are selected ion detection.
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| CN103436361A (en) * | 2013-08-05 | 2013-12-11 | 湖南中烟工业有限责任公司 | Intelligent fragrance blending and simulating method of cigarette flavor |
| CN103940696A (en) * | 2014-03-12 | 2014-07-23 | 红塔烟草(集团)有限责任公司 | Prejudging method for taste of smokeless tobacco product |
| CN105092789A (en) * | 2015-08-10 | 2015-11-25 | 江苏中烟工业有限责任公司 | Analysis method for tobacco leaf style characteristic variation trend in lamina aging process |
| CN105372345A (en) * | 2015-10-29 | 2016-03-02 | 云南中烟工业有限责任公司 | Method for representing clean aroma characteristics of cigarettes with indexes |
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