CN106093246A - A kind of quantitative forecasting technique of Medicated cigarette spicy - Google Patents
A kind of quantitative forecasting technique of Medicated cigarette spicy Download PDFInfo
- Publication number
- CN106093246A CN106093246A CN201610656099.XA CN201610656099A CN106093246A CN 106093246 A CN106093246 A CN 106093246A CN 201610656099 A CN201610656099 A CN 201610656099A CN 106093246 A CN106093246 A CN 106093246A
- Authority
- CN
- China
- Prior art keywords
- spicy
- medicated cigarette
- cigarette
- forecasting technique
- quantitative
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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
- G01N2030/022—Column chromatography characterised by the kind of separation mechanism
- G01N2030/025—Gas chromatography
Abstract
The invention discloses a kind of detection level based in Medicated cigarette 29 kinds of volatile ingredients and carry out the quantitative forecasting technique to Medicated cigarette spicy.The sample treatment first set up according to independent development and GC MS/MS analyze method and are measured the content of in tobacco shred 29 kinds of volatile ingredients, and then the content of mensuration be brought in regression equation calculating YXin XiangNumerical value, be the predictive value of this kind of Medicated cigarette spicy quantitative forecasting technique score, in the range from 0 10 points.Quantitative forecasting technique smoking result actual with the sense organ goodness of fit of the Medicated cigarette spicy of the present invention is preferable, it was predicted that mean absolute error be 0.0920 point.The technical support favourable for safeguarding the stable offer of Sensory Quality of Cigarette.
Description
Technical field
The invention belongs to quantitative forecast and the control field of Medicated cigarette spicy, be specifically related to a kind of based in cigarette shreds 29
The detection level of kind of volatile ingredient, and combine regression coefficient and build the method for the regression model quantitative forecast to Medicated cigarette spicy
Method.
Background technology
Stable and the lifting of cigarette product quality, it is critical only that the stable of organoleptic quality and promotes, how setting up Medicated cigarette sense
The evaluation methodology of official's quality always is the study hotspot of industry.At present, expert is mainly passed through in the evaluation of cigarette sensory quality
Sensory evaluating smoking carry out, and issued and implemented concerned countries and industry standard.Such as, GB 5606.4-2005 " Medicated cigarette the 4th
Part: sense organ technology requires " and YC/T497-2014 " Medicated cigarette Chinese-style cigarette style sensory evaluation method ".But owing to the person of smokeing panel test exists
There is subjectivity in smokeing panel test, make the repeatability of smoking result and stability there is certain deficiency, to such an extent as to evaluation result
Reliability produces impact.
There is internal relation between the organoleptic feature of Medicated cigarette and its chemical composition, different chemical component can be special to Medicated cigarette sense organ
Levy the impact produced in various degree.In recent years, Medicated cigarette sensory evaluation and the Study on Forecasting Method of chemically based composition there has also been relatively
Many reports.Such as, the not magnificence etc. of Harbin Engineering University provides one and predicts volume by immune neural net algorithm
The method (CN 101419209 A) of cigarette sensory evaluating smoking and fume indication, but its component substances including computation modeling in is only total
Sugar, total nicotine, reducing sugar etc. more than 10 plant routine chemical components index, and it cannot represent the overall permanence of Medicated cigarette sense organ.Yizhong cigarette
The Hu Shengguo etc. of grass (group) company limited has invented the BP neural network model of a kind of combination FUZZY SET APPROACH TO ENVIRONMENTAL, and uses this mould
Medicated cigarette sensory evaluating smoking and fume indication are predicted (CN 1525394 A) by type, but it is for the chemical composition modeled and calculate
Up to 110 remainders, Indexs measure is qualitative, the most loaded down with trivial details, and difficulty in computation is bigger.In turn result in it predict the outcome relatively low or not may be used
The shortcoming such as lean on.
Summary of the invention
Present invention aims to and overcome the deficiencies in the prior art, it is provided that a kind of quantitatively pre-to Medicated cigarette spicy
Survey method, to simplify the flow process of the quantitative forecast of Medicated cigarette spicy, thus complete Medicated cigarette spicy fast and accurately quantitative
Prediction work.
The purpose of the present invention is achieved by the following technical programs.
The quantitative forecasting technique of a kind of Medicated cigarette spicy, comprises the following steps:
(1) measure the ethyl n-butyrate. in cigarette sample to be predicted, δ-dodecalactone, heliotropin, 4-methyl-2-phenyl-
1,3-dioxolanes, cinnamyl cinnamate, β-caryophyllene, isophorone, 5 methyl furfural, 4-hydroxyl-2,5-dimethyl-3
(2H)-furanone, hyacinthin, 1-Phenylethanone., γ-amyl group butyrolactone, δ-decalactone, ethyl isobutyrate, benzylalcohol, phenethanol, 2-second
Acyl pyrroline, 2-methyltetrahydrofuran-3-ketone, furfuryl alcohol, fenchene, δ-caprolactone, benzaldehyde dimethyl acetal, Acacia farnesiana Willd. base third
Ketone, alpha-angelica lactone, isobutyl acetate, D-menthol, linalool, δ-nonalactone, the quality of these 29 kinds of materials of ethyl phenylacetate
Degree, respectively with X1To X29Represent;
(2) by X1To X29Substitute in following regression equation respectively, calculate YXin XiangNumerical value:
YXin Xiang=0.449X1+0.294X2+0.190X3+0.223X4+0.438X5+0.018X6+0.662X7+0.301X8+
0.650X9+0.672X10+0.783X11+0.457X12+0.295X13+0.741X14+0.613X15+0.300X16-0.363X17–
0.417X18-0.412X19–0.583X20-0.443X21–0.571X22-0.494X23-0.583X24–0.261X25–0.735X26-
0.353X27–0.301X28-0.094X29-26.759;
(3) Y of gained is calculatedXin XiangNumerical value, be the score value of the quantitative forecast of this kind of Medicated cigarette spicy, in the range from
0-10 divides.
Table 1 below list for above-mentioned 29 kinds of substance to be measured, its quantitative forecast score to Medicated cigarette spicy
Regression equation coefficient.
Table 1 regression equation coefficient
Relative to prior art, the invention have the advantages that
1, the present invention 29 kinds of volatile component contents from cigarette shreds, it is possible to be given more than sensory evaluating smoking method
Objective, stable result of determination, eliminates the impact of artificial difference in sensory evaluating smoking.
2, use the material of the plurality of classes such as aldehyde, ester, ketone, alcohol as depending on that the quantitative forecast score of Medicated cigarette spicy is predicted
According to, more accurate than existing method.
3, use less material for modeling and Medicated cigarette spicy to be carried out quantitative forecast, have and detect speed faster
Degree, the quantitative flow process relatively simplified, it is to avoid the problem of regression modeling overfitting, the result making quantitative forecast is accurate and reliable.
The technical support favourable for safeguarding the stable offer of Sensory Quality of Cigarette.
Accompanying drawing explanation
Fig. 1 is the hyperbolic chart of 30 kinds of sample regression value of calculation and sensory evaluating smoking's result.
Detailed description of the invention
By the following examples the present invention is described in further detail, but specific embodiment is not to skill of the present invention
The restriction of art scheme.
Embodiment 1
(box mark tar 8-12mg/ props up, and box mark nicotine 0.6-1.2mg/ props up, box mark to buy 30 kinds of domestic commercially available finished cigarettes
CO 9-13mg/ props up, and 2015 respectively purchased from markets such as Kunming, Shanghai City, Changshas);Collected sample is according to YC/T
497-2014 carries out sensory evaluation, determines that its pungent fragrant style and features sensory evaluating smoking's score range is that 0.5-3.0 divides.
A, sample treatment and analysis
The cigarette of the same brand taking Xin Kaibao at random carries out sample and prepares, and sample preparation quick and precisely, and should guarantee sample
Product are the most contaminated, and each laboratory sample prepares three parallel samples.Peel off cigarette paper and filter tip, take out tobacco shred, record weight, then
It is respectively put in 3 100ml conical flasks, as sample.The internal standard of 1mL 60 μ g/mL it is separately added in ready sample
Naphthalene, 9mL ether, close the lid rapidly and shake up, and is placed on concussion shaking table and shakes 2h, takes upper layer of extraction liquid through 0.22 μm with 10ml syringe
Filtering with microporous membrane, analyzes for GC-MS/MS (gas chromatography-mass spectrum/mass spectrograph).
B, gas chromatography-mass spectrum/mass spectral analysis condition
Chromatographic column: DB-5MS (30m × 0.25mm i.d. × 0.25 μm d.f., Agilent company of the U.S.) elastic quartz
Capillary chromatographic column;Injector temperature: 250 DEG C;Carrier gas: He, constant current mode, post flow 1mL/min, sample size: 1 μ L, shunting
Ratio: 10:1;Heating schedule: 50 DEG C (2min), with the ramp of 5 DEG C/min to 250 DEG C (20min);Transmission line temperature: 250
℃;Ionization mode: EI;Ion source temperature: 170 DEG C;Ionization energy 70eV;Heater current: 80 μ A;Full scan monitoring Full scan
Pattern, sweep limits: 10-500amu;Multiple-reaction monitoring MRM pattern, qualitative, quota ion is shown in Table 2 to Selection parameter.
29 kinds of volatile components and the qualitative ion pair of interior target in table 2 tobacco shred, quota ion to and collision energy
C, index assay
The retention time of test control, qualitative ion pair and quota ion pair, determine the target compound in sample.Work as examination
Sample and standard specimen at identical retention time (± 0.2min) occur, and the standard that the relative abundance of each qualitative ion is suitable with concentration
The ion relative abundance of solution is consistent, then can determine whether to exist in sample the measured object of correspondence.Each sample parallel measures 3 times.Root
According to volatility and the content of semi-volatile organic compounds in the quota ion calculated by peak area sample of target compound in sample.
In sample, the content of volatility and semi-volatile organic compounds is calculated by formula (1):
Wherein, Cs represents the content of a certain property material in sample, and unit is mg/kg;As be in sample volatility or
The peak area of semi-volatile organic compounds, unit is U (integration unit);Ai is the peak area of internal standard material, and unit is that U is (long-pending
Divide unit);Ci is the amount adding internal standard material, and unit is μ g/mL;M is for weighing tobacco quality, and unit is g;K is each volatility
Or the standard working curve slope of semi-volatile organic compounds;A is the standard of each volatility or semi-volatile organic compounds
Working curve intercept.
D, the ethyl n-butyrate. measured according to method described in a-c in cigarette sample to be predicted, δ-dodecalactone, heliotropin,
4-methyl-2-phenyl-1,3-dioxolanes, cinnamyl cinnamate, β-caryophyllene, isophorone, 5 methyl furfural, 4-hydroxyl-
2,5-dimethyl-3 (2H)-furanone, hyacinthin, 1-Phenylethanone., γ-amyl group butyrolactone, δ-decalactone, ethyl isobutyrate, benzylalcohol,
Phenethanol, 2-acetyl pyrrole, 2-methyltetrahydrofuran-3-ketone, furfuryl alcohol, fenchene, δ-caprolactone, benzaldehyde dimethyl acetal,
Farnesyl acetone, alpha-angelica lactone, isobutyl acetate, D-menthol, linalool, δ-nonalactone, ethyl phenylacetate etc. 29 kinds
The content of material.The descriptive statistics of various content of material testing results is shown in Table 3.
The descriptive statistics of 29 kinds of volatile material testing results in table 3 tobacco shred
Note: statistical sample number is: 30
E, the content detecting obtained 29 kind material in d is brought in following regression equation respectively, calculates YXin XiangNumber
Value:
YXin Xiang=0.449X1+0.294X2+0.190X3+0.223X4+0.438X5+0.018X6+0.662X7+0.301X8+
0.650X9+0.672X10+0.783X11+0.457X12+0.295X13+0.741X14+0.613X15+0.300X16-0.363X17–
0.417X18-0.412X19–0.583X20-0.443X21–0.571X22-0.494X23-0.583X24–0.261X25–0.735X26-
0.353X27–0.301X28-0.094X29-26.759;
F, the Y of calculating gainedXin XiangNumerical value, be the quantitative forecast score of this kind of Medicated cigarette spicy.Calculate 30 kinds of samples respectively
The Y of productXin XiangNumerical value, and with sensory evaluating smoking's result comparison, result is as shown in Figure 1.The curve of diamond indicia is that regression equation records in advance
Point, and the square marks actual score of smokeing panel test that is sense organ.There it can be seen that use the Medicated cigarette pungent fragrant breeze lattice spy of forecast of regression model
Levy sensory evaluating smoking's score preferable with the actual smoking result goodness of fit, it was predicted that average MAE (mean absolute error)=0.0920 point.
Claims (1)
1. a quantitative forecasting technique for Medicated cigarette spicy, comprises the following steps:
(1) ethyl n-butyrate. in cigarette sample to be predicted, δ-dodecalactone, heliotropin, 4-methyl-2-phenyl-1,3-are measured
Dioxolanes, cinnamyl cinnamate, β-caryophyllene, isophorone, 5 methyl furfural, 4-hydroxyl-2,5-dimethyl-3 (2H)-furan
Mutter ketone, hyacinthin, 1-Phenylethanone., γ-amyl group butyrolactone, δ-decalactone, ethyl isobutyrate, benzylalcohol, phenethanol, 2-acetyl group pyrrole
Cough up, 2-methyltetrahydrofuran-3-ketone, furfuryl alcohol, fenchene, δ-caprolactone, benzaldehyde dimethyl acetal, farnesyl acetone, α-when
Lactone, isobutyl acetate, D-menthol, linalool, δ-nonalactone, the mass percent of these 29 kinds of materials of ethyl phenylacetate is returned to contain
Amount, respectively with X1To X29Represent;
(2) by X1To X29Substitute in following regression equation respectively, calculate YXin XiangNumerical value:
YXin Xiang=0.449X1+0.294X2+0.190X3+0.223X4+0.438X5+0.018X6+0.662X7+0.301X8+0.650X9
+0.672X10+0.783X11+0.457X12+0.295X13+0.741X14+0.613X15+0.300X16-0.363X17–0.417X18-
0.412X19–0.583X20-0.443X21–0.571X22-0.494X23-0.583X24–0.261X25–0.735X26-0.353X27–
0.301X28-0.094X29-26.759;
(3) Y of gained is calculatedXin XiangNumerical value, be the score value of the quantitative forecast of this kind of Medicated cigarette spicy, in the range from 0-10
Point.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610656099.XA CN106093246A (en) | 2016-08-11 | 2016-08-11 | A kind of quantitative forecasting technique of Medicated cigarette spicy |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610656099.XA CN106093246A (en) | 2016-08-11 | 2016-08-11 | A kind of quantitative forecasting technique of Medicated cigarette spicy |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106093246A true CN106093246A (en) | 2016-11-09 |
Family
ID=57456709
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610656099.XA Pending CN106093246A (en) | 2016-08-11 | 2016-08-11 | A kind of quantitative forecasting technique of Medicated cigarette spicy |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106093246A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106596792A (en) * | 2016-12-30 | 2017-04-26 | 四川剑南春(集团)有限责任公司 | Method for detecting content of aromatic ester substances in Baijiu |
CN109613141A (en) * | 2019-01-09 | 2019-04-12 | 吉林烟草工业有限责任公司 | The detection method of gamma lactone and delta-lactone class compound in a kind of quick-fried pearl liquid of cigarette filter tip |
CN111289677A (en) * | 2020-03-31 | 2020-06-16 | 中国烟草总公司郑州烟草研究院 | Method for measuring spicy components in main stream smoke of cigarette |
CN113376268A (en) * | 2021-05-14 | 2021-09-10 | 河北中烟工业有限责任公司 | Method for measuring spicy components in main stream smoke of cigarette |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
BG65650B1 (en) * | 2004-09-01 | 2009-04-30 | Солея ДАНЬО | Method for the evaluation of the aroma of tobacco smoke and classification by aroma of types and varieties of tobaccos |
CN102650630A (en) * | 2012-05-08 | 2012-08-29 | 红云红河烟草(集团)有限责任公司 | Method for building distinguishing model for evaluating odor type of flue-cured tobacco raw material on the basis of note components |
CN102680627A (en) * | 2012-05-15 | 2012-09-19 | 上海烟草集团有限责任公司 | Method for analyzing and identifying key aromatic substances in tobacco leaf |
CN105004827A (en) * | 2015-07-10 | 2015-10-28 | 云南中烟工业有限责任公司 | Method for accurately characterizing and evaluating spicy characteristics of cigarette fragrance |
CN105241976A (en) * | 2015-10-29 | 2016-01-13 | 云南中烟工业有限责任公司 | Method for characterizing cigarette spicy aroma characteristic by using index |
-
2016
- 2016-08-11 CN CN201610656099.XA patent/CN106093246A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
BG65650B1 (en) * | 2004-09-01 | 2009-04-30 | Солея ДАНЬО | Method for the evaluation of the aroma of tobacco smoke and classification by aroma of types and varieties of tobaccos |
CN102650630A (en) * | 2012-05-08 | 2012-08-29 | 红云红河烟草(集团)有限责任公司 | Method for building distinguishing model for evaluating odor type of flue-cured tobacco raw material on the basis of note components |
CN102680627A (en) * | 2012-05-15 | 2012-09-19 | 上海烟草集团有限责任公司 | Method for analyzing and identifying key aromatic substances in tobacco leaf |
CN105004827A (en) * | 2015-07-10 | 2015-10-28 | 云南中烟工业有限责任公司 | Method for accurately characterizing and evaluating spicy characteristics of cigarette fragrance |
CN105241976A (en) * | 2015-10-29 | 2016-01-13 | 云南中烟工业有限责任公司 | Method for characterizing cigarette spicy aroma characteristic by using index |
Non-Patent Citations (3)
Title |
---|
周清明 等: "湖南浓香型烟叶的质量风格特色及区域定位", 《湖南农业大学学报》 * |
李晋明 等: "卷烟香型关键致香物筛选与香型定量判定模式", 《烟草科技》 * |
陆龙建 等: "多元因子分析在卷烟风格特征剖析中的应用", 《烟草化学》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106596792A (en) * | 2016-12-30 | 2017-04-26 | 四川剑南春(集团)有限责任公司 | Method for detecting content of aromatic ester substances in Baijiu |
CN106596792B (en) * | 2016-12-30 | 2018-11-23 | 四川剑南春(集团)有限责任公司 | A kind of method of aromatic ester content of material in detection white wine |
CN109613141A (en) * | 2019-01-09 | 2019-04-12 | 吉林烟草工业有限责任公司 | The detection method of gamma lactone and delta-lactone class compound in a kind of quick-fried pearl liquid of cigarette filter tip |
CN109613141B (en) * | 2019-01-09 | 2021-09-21 | 吉林烟草工业有限责任公司 | Method for detecting gamma-lactone and delta-lactone compounds in bead blasting liquid of cigarette filter tip |
CN111289677A (en) * | 2020-03-31 | 2020-06-16 | 中国烟草总公司郑州烟草研究院 | Method for measuring spicy components in main stream smoke of cigarette |
CN113376268A (en) * | 2021-05-14 | 2021-09-10 | 河北中烟工业有限责任公司 | Method for measuring spicy components in main stream smoke of cigarette |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102901779B (en) | Discrimination method for caramel sweet taste characteristics of tobacco leaf based on flavor components | |
CN106093246A (en) | A kind of quantitative forecasting technique of Medicated cigarette spicy | |
CN102866212A (en) | Judgment method of tobacco leaf strong-flavor style highlight degree based on flavor components | |
CN105784912B (en) | A kind of method of lactone fragrance matter in quantitative analysis ramuscule cigarette mainstream flue gas | |
CN105467055A (en) | Method for determining alkaloids in tea leaves by using GC-MS (Gas Chromatography-Mass Spectrometer) method | |
CN110554112A (en) | method for judging quality of fen-flavor cigarettes | |
CN106645517B (en) | The method for measuring 14 kinds of fragrant and sweet ingredients of coke in cigarette mainstream flue gas simultaneously | |
CN101504395A (en) | Method for controlling quality of flavoring essence for tobacco by gas-phase fingerprint pattern | |
CN106353419A (en) | Method for measuring aroma components in main stream smoke of cigarettes | |
CN108760927B (en) | Electric heating non-combustible cigarette appearance quality analysis method based on furnace volatile matter | |
Kim | Mass change tracking approach as collection guidelines for aerosol and vapor samples released during e-cigarette smoking | |
CN106290641A (en) | A kind of quantitative forecasting technique of Medicated cigarette delicate fragrance type | |
CN106770795B (en) | The method for heating 14 kinds of fragrant and sweet ingredients of coke in non-burning cigarette smoke is measured simultaneously | |
CN106324125A (en) | Cigarette-sweet-fragrance-type quantitative forecasting method | |
CN103558319B (en) | Method for measuring methyl eugenol in mainstream smoke of cigarettes | |
CN106248843A (en) | A kind of quantitative forecasting technique of Medicated cigarette medicinal herbs odor type | |
CN106290638A (en) | A kind of quantitative forecasting technique of Medicated cigarette bean odor type | |
CN111289657B (en) | Method for detecting fruit flavor components in main stream smoke of cigarette | |
CN106324124A (en) | Cigarette-wood-fragrance-type quantitative forecasting method | |
CN106290639A (en) | A kind of quantitative forecasting technique of Medicated cigarette milk flavoured type | |
CN106546699A (en) | A kind of quantitative forecasting technique of Medicated cigarette dry in the sun cigarette perfume type | |
CN106442774A (en) | Quantitative prediction method of cigarette cream odor type | |
CN108088932B (en) | Method for calculating furan substances in mainstream smoke of fine cigarettes | |
CN108267523A (en) | A kind of ramuscule cigarette mainstream is by the computational methods of aldoketones substance in mouth flue gas | |
CN105823839B (en) | Piece cigarette absorbs the evaluation method of feed liquid effect during a kind of leaves storage |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161109 |
|
RJ01 | Rejection of invention patent application after publication |