CN103593561A - Method for representing style characteristics of tobacco by adopting characteristic indexes - Google Patents
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Abstract
The invention relates to a method for representing style characteristics of tobacco by adopting characteristic indexes. The method comprises the steps that the characteristic chemical indexes of the tobacco are sifted and selected, the corresponding style characteristic indexes TQ of the tobacco are calculated, and the style characteristics of rhyme fragrance of raw materials of the tobacco are reflected through the TQ indexes; according to the computation of the TQ indexes, factors and related factor weight closely related to typical fresh scent tobacco are adopted, wherein the computational formula is: a TQ value=sigma(positive correlation factors*weight factors)/sigma(negative correlation factors* weight factors); the positive correlation factors are the indexes of the content higher than the other types of tobacco in the typical fresh scent tobacco, and the negative correlation factors are the indexes of the content lower than the other types of tobacco in the typical fresh scent tobacco; the typical fresh scent tobacco is tobacco Honghuadajinyuan; after the principal components of the tobacco is analyzed, the percentages of the characteristic values of all the principal components accounting for variance are the weight factors of the indexes closely related to the principal components; the larger the TQ value is, the more obvious the style characteristics of fresh scent are. The method has positive and important effects on scientifically identifying the style characteristics of the tobacco and effectively improving the use rate of the raw materials of the tobacco.
Description
Technical field
The invention belongs to technical field of tobacco, relate to a kind of method that characterizes tobacco style feature.
Background technology
In technical field of tobacco, to say to a certain extent, raw tobacco material category is the important content that cigarette category builds, the wool fabric type of raw tobacco material has determined the trend of cigarette product category.How objective and characterize simply and evaluate the style and features of tobacco leaf kind, be the focus of tobacco business research at present.
In recent years, a large amount of tobacco leaf grouping and quality research in industry, have been carried out, but major part is the analysis to the research of raw material grouping process technology and material quality, to carrying out the attribute classification research of raw tobacco material, and it is relatively less to promote that cigarette category builds research aspect.Existing the whole bag of tricks, all has certain positive role to the quality assessment of tobacco, but it is still less to be really applied to the further research that raw material category builds, or not very good for attribute classification result.First, because the chemical composition in tobacco is very complicated, only by several scattered indexs, be also not enough to comprehensively, reflect accurately, objectively tobacco quality; Secondly, existing method still is being apparent not enough aspect raw tobacco material category structure, is difficult to diversified raw tobacco material to sort out preferably.Thereby attempt by utilizing modern instrumental analysis means, searching is to smoking property of cigarette style and larger index or the compound of quality influence, thereby the object that reach objective, accurate, comprehensively reflects cigarette style characteristic is especially aobvious important, and TQ index can characterize from the angle of tobacco leaf intrinsic chemical composition the feature of cigarette style.So-called TQ index, refers to by the feature chemical index to tobacco leaf and screens and accept or reject, the corresponding tobacco style characteristic exponent calculating.
Summary of the invention
The object of the invention is to lack for the situation of above-mentioned prior art and the method for domestic effective differentiation at present and sign raw tobacco material style and features, and a kind of custom-designed method that adopts characteristic exponent to characterize tobacco style feature.The method reflects the style and features of raw tobacco material delicate fragrance rhythm by TQ characteristic exponent, for judgement and the sign of tobacco style classification provides a kind of new method, its result of study, to science identification tobacco style feature, effectively improves the effect that raw tobacco material utilization factor has positive important.
Object of the present invention is achieved through the following technical solutions:
Adopt characteristic exponent to characterize a method for tobacco style feature, by the feature chemical index to tobacco leaf, screen and accept or reject, calculate corresponding tobacco style characteristic exponent TQ, by the style and features of TQ index reflection raw tobacco material delicate fragrance rhythm; TQ index calculates and adopts and the closely-related factor of typical delicate fragrance type tobacco leaf and correlation factor weight, and its computing formula is:
TQ value=∑ (the positive correlation factor * weight factor)/∑ (the negative correlation factor * weight factor);
In above formula, the positive correlation factor is the content index high compared with other kind tobacco leaves in typical delicate fragrance type tobacco leaf, and the negative correlation factor is the content index low compared with other tobacco leaves in typical delicate fragrance type tobacco leaf; Described typical delicate fragrance type tobacco leaf is red large tobacco leaf; By to after tobacco leaf principal component analysis (PCA), the percentage of the shared variance of each major component eigenwert is the weight factor of the index being closely related with this major component; TQ value is larger, and delicate fragrance type style and features is more obvious, and along with reducing of TQ value, tobacco leaf delicate fragrance type style and features weakens.
The positive correlation factor of the present invention comprises xenthophylls, chlorogenic acid, glucose, volatilization alcohols, volatilization aldehydes; The described negative correlation factor comprises Megastigmatrienone, solanone, volatilization ketone, beta carotene catabolite, ligroin extraction, malic acid; Described tobacco leaf major component refers to by Chemical Measurement statistic software SPSS is undertaken after major component calculating, and six major components of acquisition are respectively the first principal component, the second main composition, the 3rd main composition, the 4th main composition, the 5th main composition, the 6th main composition.
The inventive method can reflect tobacco leaf delicate fragrance style degree by character numerical value TQ index, for judgement and the sign of tobacco style feature provides a kind of new method.The present invention possesses following characteristics in application process:
1, by the calculating to tobacco leaf TQ value, to differentiate and to characterize raw tobacco material, contribute to adjustment and the optimization of cigarette product production and processing;
2, accurate and effective to the differentiation of tobacco leaf and sign;
3, analyzing and testing index is less, returns that to sentence accuracy rate high, quick to the differentiation of tobacco leaf and characterization, in continuity large-scale production, has feasibility;
4, to realizing the category of diversified raw tobacco material, build pattern, to making rational planning for of raw tobacco material, effectively improve raw tobacco material utilization factor and there is positive effect.
Embodiment
Below by instantiation, the invention will be further described.
Employing characteristic exponent provided by the invention characterizes the method for tobacco style feature and is screened and accepted or rejected by the feature chemical index to tobacco leaf, calculates corresponding tobacco style characteristic exponent TQ, by the style and features of TQ index reflection raw tobacco material delicate fragrance rhythm; TQ index calculates and adopts and the closely-related factor of typical delicate fragrance type tobacco leaf and correlation factor weight, and its computing formula is:
TQ value=∑ (the positive correlation factor * weight factor)/∑ (the negative correlation factor * weight factor);
In above formula, the positive correlation factor is the content index high compared with other kind tobacco leaves in typical delicate fragrance type tobacco leaf, and the negative correlation factor is the content index low compared with other tobacco leaves in typical delicate fragrance type tobacco leaf; Described typical delicate fragrance type tobacco leaf is red large tobacco leaf; The positive correlation factor comprises xenthophylls, chlorogenic acid, glucose, volatilization alcohols, volatilization aldehydes; The negative correlation factor comprises Megastigmatrienone, solanone, volatilization ketone, beta carotene catabolite, ligroin extraction, malic acid.Each correlation factor and feature are described in Table 1, and in table, each index is all closely related with tobacco style quality.
The typical fresh and sweet cigarette leaf correlation factor table of table 1
By to after tobacco leaf principal component analysis (PCA), the percentage of the shared variance of each major component eigenwert is the weight factor of the index being closely related with this major component.Described tobacco leaf major component refers to by conventional Chemical Measurement statistic software SPSS is undertaken after major component calculating, six major components that obtain, using the weight of major component as the weight of high index of correlation (in Table 2, table 3), 6 main compositions have been extracted altogether, be respectively the first principal component, the second main composition, the 3rd main composition, the 4th main composition, the 5th main composition, the 6th main composition, represented 85.57% weight of sample message.Table 3 has been listed the correlativity of each index and main composition, and concrete main composition weight and index of correlation are in Table 4.As can be seen from the table, Megastigmatrienone, glucose, ligroin extraction and first principal component close relation, its weight is 20.081%.
Table 2 population variance weight table
The postrotational one-tenth sub matrix of table 3 quadrature (being the correlativity of each index and main composition)
Main one-tenth umber | 1 | 2 | 3 | 4 | 5 | 6 |
Nicotine | .414 | .370 | -.067 | .404 | -.500 | .111 |
Potassium | .151 | .070 | -.008 | -.170 | .912 | .035 |
Carrotene catabolite | .394 | .507 | .723 | .044 | .087 | -.037 |
Volatile aldehyde | .263 | .793 | .387 | .043 | .110 | -.013 |
Volatility ketone | .098 | .225 | .835 | .285 | -.174 | -.181 |
Volatility alcohols | .376 | .684 | .246 | .176 | .027 | .233 |
Megastigmatrienone | .805 | .391 | .237 | .033 | .092 | -.022 |
Solanone | .331 | .303 | .151 | .728 | -.178 | -.172 |
Dihydroactinidiolide | -.099 | .196 | .201 | .125 | .079 | -.045 |
Chlorogenic acid | -.464 | -.237 | .265 | .682 | .148 | .155 |
Main one-tenth umber | 1 | 2 | 3 | 4 | 5 | 6 |
Xenthophylls | .016 | -.032 | -.171 | -.177 | .011 | .937 |
Glucose | -.797 | -.292 | -.174 | .113 | .064 | -.215 |
Malic acid | .199 | -.474 | .116 | -.683 | .090 | .331 |
Isovaleric acid | .066 | -.005 | .311 | .762 | -.286 | -.122 |
Ligroin extraction | .892 | .072 | -.113 | .038 | .130 | -.114 |
PH value | -.305 | -.467 | -.267 | -.100 | .124 | .264 |
Table 4 tobacco leaf index factor weight
Main composition | Weight (%) | The high index of correlation factor |
1 | 20.081 | Megastigmatrienone, glucose, ligroin extraction |
2 | 17.428 | Volatile aldehyde, volatility alcohols |
3 | 16.572 | Carrotene catabolite, volatility ketone |
4 | 15.132 | Solanone, chlorogenic acid, malic acid, isovaleric acid |
5 | 8.300 | Potassium |
6 | 8.056 | Xenthophylls |
1,2,3,4,5,6 major components for the generation of statistics software in table 4, or the new factor forming after statistics, without name.
According to TQ value calculating method, typical delicate fragrance type tobacco leaf is analyzed, be the results are shown in Table 5.The TQ value of typical delicate fragrance type tobacco leaf (first-class red large tobacco leaf) is higher as can be seen from Table 5, and import module TQ value is lower, and the height of this index can be described degree and the trend of tobacco style delicate fragrance rhythm.
The TQ value of table 5 formula tobacco leaf
Sample title | TQ value | Sample title | TQ value |
Dali-red is large-C3F | 1.538 | Qujing-NC297-B3F | 0.861 |
Kunming-red is large-C3F | 1.361 | Red River-NC297-C3F | 0.855 |
Kunming-red is large-B3F | 1.203 | Kunming-cloud 87-B1F | 0.855 |
Baoshan-red is large-C4F | 1.200 | Xuan Fu-BSF | 0.853 |
Baoshan-red is large-CSF | 1.182 | Red River-K326-C3F | 0.849 |
Qujing-red is large-C3F | 1.176 | Module-SM3 outside the province | 0.847 |
Kunming-red is large-X2F | 1.171 | Qujing-B2F | 0.842 |
Qujing-NC297-B2F | 1.066 | Red River-K326-C3F | 0.842 |
Qujing-red is large-C3L | 1.058 | Red River A-C3F | 0.839 |
Jin An high-red large-C3L | 1.035 | Red River-ZYSF | 0.834 |
Red River-V2-C1F | 1.032 | Red River-cloud 87-C4F | 0.833 |
Mountain of papers-NC297-CSF | 1.030 | Kunming-B1F | 0.828 |
Sample title | TQ value | Sample title | TQ value |
Chuxiong-cloud 87-MZL | 1.020 | Kunming-C2F | 0.820 |
Qujing-cloud 87-B3F | 0.998 | Red River-CSZ | 0.817 |
Kunming-red is large-BSF | 0.980 | Red River-red is large-X3F | 0.787 |
The Baoshan-NC297-B3F | 0.977 | Red River-red is large-C4F | 0.786 |
Kunming-K326-C3F | 0.975 | Henan Xuchang-MZL | 0.779 |
Qujing-K326-B2F | 0.968 | Qujing-K326-MZF | 0.773 |
Red River-cloud 97-C3F | 0.941 | Red River-cloud 85-X2F | 0.748 |
Red River-cloud 87-C3F | 0.939 | Mountain of papers-BSF | 0.741 |
Red River-NC297-C2F | 0.900 | Qujing-K326-C4F | 0.726 |
Kunming-CSL | 0.896 | Mountain of papers-BSF | 0.709 |
Mountain of papers-C4F | 0.896 | Red River-red is large-C4F | 0.703 |
Red River-ZYSF | 0.890 | Red River-cloud 87-X3F | 0.681 |
Kunming-C3L | 0.888 | Red River-X4F | 0.677 |
Red River-K326-C4F | 0.887 | Import module-YM1M-FPW | 0.661 |
The Baoshan-cloud 85-B2F | 0.880 | Kunming-NC102-XZF | 0.650 |
Shi Yi-cloud 87-C3F | 0.872 | Mountain of papers-C3F | 0.638 |
Qujing-C4F | 0.864 | Import module-YM2P-FPW | 0.600 |
Raw tobacco material is carried out to TQ value to be calculated, listed in Table 6, result also shows, the TQ value of typical case's delicate fragrance type tobacco leaf (first-class red large tobacco leaf) is larger, show that this index has certain actual application value to describing the delicate fragrance style of tobacco leaf, in the group replacement of formula leaf or raw tobacco material module, add man-hour, can be based on raw tobacco material TQ value, select the tobacco leaf that style is approximate, reduce the tobacco leaf amount of smokeing panel test.
The TQ value of table 6 raw tobacco material
Area | Kind | Grade | TQ value |
Dali | Red large | C3F | 1.984 |
Dali | Red large | C3F | 1.712 |
Dali | Red large | C3F | 1.684 |
Shi Yi | Red large | C3F | 1.650 |
Dali | Red large | C3F | 1.626 |
Lu Fu seeks | Red large | C3F | 1.548 |
Kunming | Red large | C3F | 1.464 |
Kunming | Red large | C3F | 1.443 |
Dali | Red large | C3F | 1.404 |
Qujing | Red large | B2F | 1.321 |
Shi Yi | Red large | C3F | 1.279 |
Area | Kind | Grade | TQ value |
Qujing | Red large | C3F | 1.232 |
Shi Yi | Cloud 87 | C3F | 1.193 |
Qujing | Cloud 87 | B2F | 1.185 |
Red River | Red large | C3F | 1.176 |
Qujing | Red large | C3F | 1.171 |
Qujing | K326 | B2F | 1.143 |
Qujing | K326 | B2F | 1.138 |
Fujian | CB-1 | C3F | 1.120 |
Qujing | V2 | B2F | 1.120 |
Shi Yi | Cloud 87 | C3F | 1.098 |
Jin An is high | Red large | C3F | 1.088 |
Qujing | NC297 | C3F | 1.064 |
Kunming | Cloud 87 | C3F | 1.054 |
Qujing | K326 | C3F | 1.046 |
Kunming | NC297 | C3F | 1.031 |
The Baoshan | NC297 | C3F | 1.026 |
Qujing | NC102 | B2F | 1.011 |
Red River | V2 | C3F | 1.002 |
Jin An is high | K326 | C3F | 0.991 |
Red River | V2 | B2F | 0.987 |
Dali | Cloud 85 | C3F | 0.981 |
Kunming | Cloud 87 | B2F | 0.964 |
Red River | V2 | C3F | 0.958 |
Red River | Cloud 85 | C3F | 0.934 |
Red River | K326 | B2F | 0.904 |
Red River | NC297 | C3F | 0.892 |
Red River | Cloud 85 | C3F | 0.870 |
Red River | Cloud 85 | C3F | 0.838 |
Shi Yi | Cloud 87 | C3F | 0.829 |
Jin An is high | NC297 | C3F | 0.811 |
Red River | K326 | B2F | 0.802 |
Red River | NC297 | B2F | 0.791 |
Red River | K326 | B2F | 0.775 |
Xuchang, Henan | Zhongyan-100 | B2F | 0.765 |
Area | Kind | Grade | TQ value |
Mountain of papers | K326 | C3F | 0.749 |
Domestic other | K326 | X2F | 0.737 |
Sanming, Fujian Province | K326 | C3F | 0.727 |
Hubei | K326 | C3F | 0.703 |
Sanming, Fujian Province | CB-1 | C3F | 0.695 |
Hubei | K326 | B2F | 0.678 |
Red River | K326 | X2F | 0.653 |
Red River | K326 | X2F | 0.644 |
Linyi, Shandong | NC89 | C3F | 0.640 |
Red River | K326 | X2F | 0.631 |
Red River | K326 | X2F | 0.552 |
Closely related in order to verify TQ value and tobacco leaf delicate fragrance style trend, adopt the method for smokeing panel test of matching, 38 groups of samples of random choose, by the large, medium and small distribution of TQ value, every component is A, B, C, and wherein TQ value size order is A>B>C, carrying out tobacco style contrast smokes panel test, result demonstration, the sample that the conclusion of smokeing panel test conforms to TQ trend is that 94.74%(is in Table 7), show that TQ value has certain applied value aspect sign tobacco style trend.
The table 7 pairing the result of smokeing panel test
By above calculating and the result, prove, TQ index can be used for tobacco style trend and characterizes, generally, TQ value is larger, and delicate fragrance style and features is more obvious, along with reducing of TQ value, tobacco leaf delicate fragrance style and features weakens, and the size of this index has embodied the style and features of tobacco leaf to a certain extent.
Claims (2)
1. a method that adopts characteristic exponent to characterize tobacco style feature, it is characterized in that, by the feature chemical index to tobacco leaf, screen and accept or reject, calculate corresponding tobacco style characteristic exponent TQ, by the style and features of TQ index reflection raw tobacco material delicate fragrance rhythm; TQ index calculates and adopts and the closely-related factor of typical delicate fragrance type tobacco leaf and correlation factor weight, and its computing formula is:
TQ value=∑ (the positive correlation factor * weight factor)/∑ (the negative correlation factor * weight factor);
In above formula, the positive correlation factor is the content index high compared with other kind tobacco leaves in typical delicate fragrance type tobacco leaf, and the negative correlation factor is the content index low compared with other tobacco leaves in typical delicate fragrance type tobacco leaf; Described typical delicate fragrance type tobacco leaf is red large tobacco leaf; By to after tobacco leaf principal component analysis (PCA), the percentage of the shared variance of each major component eigenwert is the weight factor of the index being closely related with this major component; TQ value is larger, and delicate fragrance type style and features is more obvious, and along with reducing of TQ value, tobacco leaf delicate fragrance type style and features weakens.
2. a kind of method that adopts characteristic exponent to characterize tobacco style feature according to claim 1, is characterized in that, the described positive correlation factor comprises xenthophylls, chlorogenic acid, glucose, volatilization alcohols, volatilization aldehydes; The described negative correlation factor comprises Megastigmatrienone, solanone, volatilization ketone, beta carotene catabolite, ligroin extraction, malic acid; Described tobacco leaf major component refers to by Chemical Measurement statistic software SPSS is undertaken after major component calculating, and six major components of acquisition are respectively the first principal component, the second main composition, the 3rd main composition, the 4th main composition, the 5th main composition, the 6th main composition.
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CN106226476A (en) * | 2016-08-03 | 2016-12-14 | 云南中烟工业有限责任公司 | A kind of quantitative judgement method of cured tobacco leaf delicate fragrance odor type |
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CN106290725B (en) * | 2016-08-03 | 2018-03-09 | 云南中烟工业有限责任公司 | A kind of quantitative judgement method of cured tobacco leaf giving off a strong fragrance odor type |
CN108169420A (en) * | 2017-12-19 | 2018-06-15 | 云南瑞升烟草技术(集团)有限公司 | A kind of method using index characterization cigarette style characteristic difference degree |
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