CN101387624A - Diagnostic method for essential chemical component of flue-cured tobacco - Google Patents
Diagnostic method for essential chemical component of flue-cured tobacco Download PDFInfo
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- CN101387624A CN101387624A CNA2008100463811A CN200810046381A CN101387624A CN 101387624 A CN101387624 A CN 101387624A CN A2008100463811 A CNA2008100463811 A CN A2008100463811A CN 200810046381 A CN200810046381 A CN 200810046381A CN 101387624 A CN101387624 A CN 101387624A
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Abstract
The invention discloses a diagnosis method for the main chemical components of cured tobaccos, which comprises: establishing a predication model in each small production area, selecting a test sample and a check sample according to the tobacco leaf kind and the location; checking the check data as main appearance figure characters and the main chemical components and the like of the sample, and standardizing to unify dimension; processing canonical correlation analysis on the standardized appearance figure character and the main chemical components of the test sample, and establishing a regressive curve equation between the appearance figure character and the chemical components; using the test sample to check the regressive curve equation; if there is significant difference, repeating curve regression. The invention utilizes a predication model to check the main appearance figure characters of the tobacco leaves in a small production area to obtain the main chemical components of the test sample. The invention overcomes the defects of the prior art which adopts near-infrared testers, such as high cost and limited application range, and can directly utilize the appearance figure characters of tobacco leaves to predicate the main chemical components of the tobacco leaves, having reduced time and force, and wide application in the tobacco technical field.
Description
Technical field
The present invention relates to the determination methods of tobacco leaf, be specifically related to the diagnostic method of essential chemical component of flue-cured tobacco.
Background technology
Chemical constitution in the tobacco leaf is the Fundamentals that form each key element of quality of tobacco, and chemical constitution and tobacco leaf physiological structure are determining jointly that tobacco leaf is sucked, physics, outward appearance, economy and each key element such as safe.Present flue-cured tobacco grade scale is that the external appearance characteristic according to flue-cured tobacco will have different chemical composition, the tobacco leaf of sucking proterties and physical behavior etc. makes a distinction.But the relation research of the external appearance characteristic of flue-cured tobacco and chemical constitution seldom lacks a cover efficient ways and utilizes the external appearance characteristic of flue-cured tobacco to judge the chemical constitution of flue-cured tobacco in practice.The chemical constitution that adopts the near infrared determining instrument to utilize near infrared fast measuring tobacco leaf is arranged in the prior art, but near infrared determining instrument cost height, this method need drop into substantial contribution and personnel, when tobacco purchasing, can not be extensive use of, and the near infrared determining instrument needs constantly calibration, constantly replenish modeling sample, can not well discern the tobacco leaf sample that does not have in the model bank to occur.
Summary of the invention
The present invention has overcome the deficiencies in the prior art, and the method by tobacco leaf external appearance characteristic diagnosis essential chemical component of flue-cured tobacco is provided.
For solving above-mentioned technical matters, the present invention by the following technical solutions:
A kind of diagnostic method of essential chemical component of flue-cured tobacco, according to following flow process:
In conjunction with geographical conditions each big flue-cured tobacco growing district is divided into the little producing region that is fit to enterprise's prescription demand according to the ecological zone, the built-in upright forecast model separately in each little producing region:
(1) sets up forecast model
Step 1 is chosen specimen by the position at tobacco leaf kind, place;
The main mode of appearance feature of step 2 detection specimen and main chemical compositions etc. detect data;
Check sample is chosen at step 3 minute tobacco leaf kind, branch position;
The main mode of appearance feature of step 4 detection check sample and main chemical compositions etc. detect data;
Step 5 will detect data normalization, unified dimension;
The mode of appearance feature and the main chemical compositions of the specimen after the step 6 pair standardization are carried out canonical correlation analysis, obtain having with the mode of appearance feature main chemical compositions of substantial connection;
Step 7 is set up Regression Equations between outward appearance morphological feature and main chemical compositions;
Step 8 is utilized the mode of appearance feature of check sample and the chemical constitution that Regression Equations obtains the check sample prediction;
Step 9 compares the chemical constitution of check sample prediction and the actual chemical constitution of check sample, judges whether there were significant differences, if significant difference, the selection check sample adds former specimen with former check sample in addition, carries out curvilinear regression again; If difference is not remarkable, then determine forecast model
(2) applied forcasting model
Step 10 is determined the little producing region of tobacco leaf to be measured;
Step 11 is chosen the testing sample of tobacco leaf to be measured;
Step 12 detects the main mode of appearance feature detection data of testing sample;
Step 13 will detect data and import the main chemical compositions that the Regression Equations in this little producing region obtains this testing sample.
Further technical scheme is that the position at tobacco leaf place is divided into upper tobacco leaf, middle part tobacco leaf and lower tobacco leaf.
Further technical scheme is that the mode of appearance feature of upper tobacco leaf comprises tobacco leaf length, tobacco leaf width, vane thickness, surface density.
Further technical scheme is that the upper tobacco leaf main chemical compositions comprises nicotine, potassium, chlorine, nitrogen base ratio, potassium chlorine ratio.
Further technical scheme be the middle part tobacco leaf the mode of appearance feature comprise single leaf weight, tobacco leaf length, tobacco leaf width, vane thickness, surface density.
Further technical scheme is that middle part tobacco leaf main chemical compositions comprises reducing sugar, potassium, chlorine, potassium chlorine ratio.
Further technical scheme is that the mode of appearance feature of lower tobacco leaf comprises single leaf weight, tobacco leaf length, vane thickness, surface density.
Further technical scheme is that the lower tobacco leaf main chemical compositions comprises nicotine, potassium, chlorine, nitrogen base ratio, sugared alkali ratio, potassium chlorine ratio.
Compared with prior art, beneficial effect of the present invention is being directly to predict the tobacco leaf main chemical compositions by the main morphological feature of the outward appearance of tobacco leaf, and is easy to operation, time saving and energy saving, can be by wide popularization and application.
Description of drawings
Fig. 1 sets up the process flow diagram of forecast model for the present invention.
Fig. 2 is the process flow diagram of applied forcasting model of the present invention.
Embodiment
The present invention is further elaborated below in conjunction with accompanying drawing.
In conjunction with geographical conditions each big flue-cured tobacco growing district is divided into the little producing region that is fit to enterprise's prescription demand according to the ecological zone, the built-in upright forecast model separately in each little producing region as shown in Figure 1, selects the flue-cured tobacco in little producing region, Huili County, state, the Liangshan Mountain, Sichuan to set up forecast model.
Step 14 is chosen 100 parts of upper tobacco leafs, and 100 parts of middle part tobacco leaves and 100 parts of lower tobacco leafs are as 300 specimen;
The mode of appearance feature that step 15 detects specimen middle and upper part tobacco leaf comprises tobacco leaf length, tobacco leaf width, vane thickness, surface density, and main chemical compositions comprises nicotine, potassium, chlorine, nitrogen base ratio, potassium chlorine ratio.The mode of appearance feature that detects middle part tobacco leaf in the specimen comprises single leaf weight, tobacco leaf length, tobacco leaf width, vane thickness, surface density, and main chemical compositions comprises reducing sugar, potassium, chlorine, potassium chlorine ratio.The mode of appearance feature that detects specimen middle and lower part tobacco leaf comprises single leaf weight, tobacco leaf length, vane thickness, surface density, and main chemical compositions comprises nicotine, potassium, chlorine, nitrogen base ratio, sugared alkali ratio, potassium chlorine ratio.
Step 16 is chosen 30 parts of upper tobacco leafs, and 30 parts of middle part tobacco leaves and 30 parts of lower tobacco leafs are as 90 parts of check samples;
Step 17 detects in the check sample, and the mode of appearance feature of upper tobacco leaf comprises tobacco leaf length, tobacco leaf width, vane thickness, surface density, and main chemical compositions comprises nicotine, potassium, chlorine, nitrogen base ratio, potassium chlorine ratio.Detect in the check sample, the mode of appearance feature of middle part tobacco leaf comprises single leaf weight, tobacco leaf length, tobacco leaf width, vane thickness, surface density, and main chemical compositions comprises reducing sugar, potassium, chlorine, potassium chlorine ratio.Detect in the check sample, the mode of appearance feature of lower tobacco leaf comprises single leaf weight, tobacco leaf length, vane thickness, surface density, and main chemical compositions comprises nicotine, potassium, chlorine, nitrogen base ratio, sugared alkali ratio, potassium chlorine ratio.
Step 18 is unified dimension with all detection data normalizations;
300 parts of specimen mode of appearance features and main chemical compositions after the step 19 pair standardization are carried out canonical correlation analysis, obtain having with the mode of appearance feature main chemical compositions of substantial connection;
Step 20 is set up Regression Equations between outward appearance morphological feature and chemical constitution;
Step 21 is utilized the mode of appearance feature of 90 parts of check samples and the check sample chemical constitution that Regression Equations obtains predicting;
Step 22 compares the chemical constitution of 90 parts of check sample predictions and the actual chemical constitution of check sample, judges whether there were significant differences, and difference is not remarkable, determines this forecast model.
As shown in Figure 2, the method for the main chemical compositions of actual diagnosis flue-cured tobacco.
Step 23 determines that tobacco leaf to be measured is little producing region, Huili County, state, the Liangshan Mountain, Sichuan;
Step 24 is chosen the testing sample of tobacco leaf to be measured;
Step 25 detects the main mode of appearance feature detection data of testing sample;
Step 26 will detect data and import the main chemical compositions that the Regression Equations in this little producing region, Huili County, state, Liangshan Mountain, Sichuan obtains this testing sample.
Claims (8)
1, a kind of diagnostic method of essential chemical component of flue-cured tobacco, according to following flow process:
In conjunction with geographical conditions each big flue-cured tobacco growing district is divided into the little producing region that is fit to enterprise's prescription demand according to the ecological zone, the built-in upright forecast model separately in each little producing region:
(1) sets up forecast model
Step 1 is chosen specimen by the position at tobacco leaf kind, place;
The main mode of appearance feature of step 2 detection specimen and main chemical compositions etc. detect data;
Check sample is chosen at step 3 minute tobacco leaf kind, branch position;
The main mode of appearance feature of step 4 detection check sample and main chemical compositions etc. detect data;
Step 5 will detect data normalization, unified dimension;
Mode of appearance feature and main chemical compositions after the step 6 pair specimen standardization are carried out canonical correlation analysis, obtain having with the mode of appearance feature main chemical compositions of substantial connection;
Step 7 is set up Regression Equations between outward appearance morphological feature and main chemical compositions;
Step 8 is utilized the mode of appearance feature of check sample and the chemical constitution that Regression Equations obtains the check sample prediction;
Step 9 compares the chemical constitution of check sample prediction and the actual chemical constitution of check sample, judges whether there were significant differences, if significant difference, the selection check sample adds former specimen with former check sample in addition, carries out curvilinear regression again; If difference is not remarkable, then determine forecast model
(2) applied forcasting model
Step 10 is determined the little producing region of tobacco leaf to be measured;
Step 11 is chosen the testing sample of tobacco leaf to be measured;
Step 12 detects the main mode of appearance feature detection data of testing sample;
Step 13 will detect data and import the main chemical compositions that the Regression Equations in this little producing region obtains this testing sample.
2, the diagnostic method of essential chemical component of flue-cured tobacco according to claim 1 is characterized in that the position at described tobacco leaf place is divided into upper tobacco leaf, middle part tobacco leaf and lower tobacco leaf.
3, the diagnostic method of essential chemical component of flue-cured tobacco according to claim 2 is characterized in that the mode of appearance feature of described upper tobacco leaf comprises tobacco leaf length, tobacco leaf width, vane thickness, surface density.
4, the diagnostic method of essential chemical component of flue-cured tobacco according to claim 3 is characterized in that described upper tobacco leaf main chemical compositions comprises nicotine, potassium, chlorine, nitrogen base ratio, potassium chlorine ratio.
5, the diagnostic method of essential chemical component of flue-cured tobacco according to claim 2 is characterized in that the mode of appearance feature of described middle part tobacco leaf comprises single leaf weight, tobacco leaf length, tobacco leaf width, vane thickness, surface density.
6, the diagnostic method of essential chemical component of flue-cured tobacco according to claim 5 is characterized in that described middle part tobacco leaf main chemical compositions comprises reducing sugar, potassium, chlorine, potassium chlorine ratio.
7, the diagnostic method of essential chemical component of flue-cured tobacco according to claim 2 is characterized in that the mode of appearance feature of described lower tobacco leaf comprises single leaf weight, tobacco leaf length, vane thickness, surface density.
8, the diagnostic method of essential chemical component of flue-cured tobacco according to claim 7 is characterized in that described lower tobacco leaf main chemical compositions comprises nicotine, potassium, chlorine, nitrogen base ratio, sugared alkali ratio, potassium chlorine ratio.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102628855A (en) * | 2012-04-27 | 2012-08-08 | 云南烟草科学研究院 | Method for predicating smoke components in cured tobacco leaf |
| CN103859570A (en) * | 2012-12-13 | 2014-06-18 | 山东中烟工业有限责任公司青岛卷烟厂 | Method for improving percent of pass of cut stem moisture by controlling added water of stem moistening machine |
| CN104432458A (en) * | 2014-12-04 | 2015-03-25 | 中国农业科学院烟草研究所 | Method for determining parts of flue-cured tobacco |
| CN104792786A (en) * | 2015-05-18 | 2015-07-22 | 上海烟草集团有限责任公司 | Tobacco raw material quality control method |
| CN107677619A (en) * | 2017-09-20 | 2018-02-09 | 中国烟草总公司郑州烟草研究院 | A kind of method of discrimination of flue-cured tobacco middle leaf and upper leaf |
| CN110646425A (en) * | 2019-09-12 | 2020-01-03 | 厦门中软海晟信息技术有限公司 | Tobacco leaf online auxiliary grading method and system |
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| CN103868957B (en) * | 2014-01-07 | 2016-03-02 | 川渝中烟工业有限责任公司 | A kind of method evaluating beating and double roasting operation sheet cigarette organoleptic quality stability |
| CN111311088A (en) * | 2020-02-11 | 2020-06-19 | 中国农业科学院烟草研究所 | Flue-cured tobacco aroma style characteristic detection method, system, storage medium and program |
Family Cites Families (3)
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| GB0226062D0 (en) * | 2002-11-08 | 2002-12-18 | British American Tobacco Co | Method and system predicting tobacco smoke yields |
| CN100458414C (en) * | 2006-03-30 | 2009-02-04 | 山东中烟工业公司 | Method for detecting chemical ingredient of tobacco adopting near infrared light |
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2008
- 2008-10-27 CN CN2008100463811A patent/CN101387624B/en not_active Expired - Fee Related
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102628855A (en) * | 2012-04-27 | 2012-08-08 | 云南烟草科学研究院 | Method for predicating smoke components in cured tobacco leaf |
| CN103859570A (en) * | 2012-12-13 | 2014-06-18 | 山东中烟工业有限责任公司青岛卷烟厂 | Method for improving percent of pass of cut stem moisture by controlling added water of stem moistening machine |
| CN103859570B (en) * | 2012-12-13 | 2015-09-09 | 山东中烟工业有限责任公司青岛卷烟厂 | The method of cutting rear moisture of cut stem qualification rate is improved by controlling terrier machine amount of water |
| CN104432458A (en) * | 2014-12-04 | 2015-03-25 | 中国农业科学院烟草研究所 | Method for determining parts of flue-cured tobacco |
| CN104792786A (en) * | 2015-05-18 | 2015-07-22 | 上海烟草集团有限责任公司 | Tobacco raw material quality control method |
| CN107677619A (en) * | 2017-09-20 | 2018-02-09 | 中国烟草总公司郑州烟草研究院 | A kind of method of discrimination of flue-cured tobacco middle leaf and upper leaf |
| CN107677619B (en) * | 2017-09-20 | 2020-05-15 | 中国烟草总公司郑州烟草研究院 | Method for distinguishing middle leaf and upper leaf of flue-cured tobacco |
| CN110646425A (en) * | 2019-09-12 | 2020-01-03 | 厦门中软海晟信息技术有限公司 | Tobacco leaf online auxiliary grading method and system |
| CN110646425B (en) * | 2019-09-12 | 2022-01-28 | 厦门海晟融创信息技术有限公司 | Tobacco leaf online auxiliary grading method and system |
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| CN101387624B (en) | 2012-11-28 |
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Address after: 610017 Jackie Chan Road, Chengdu economic and Technological Development Zone, Longquanyi District, Sichuan, China, No. 2, No. Applicant after: China Tobacco Chuanyu Industrial Co., Ltd. Address before: 610017 Jackie Chan Road, Chengdu economic and Technological Development Zone, Longquanyi District, Sichuan, China, No. 2, No. Applicant before: China Tobacco Chuanyu Industrial Corporation |
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Free format text: CORRECT: APPLICANT; FROM: CHINA TOBACCO CHUANYU INDUSTRIAL CORPORATION TO: CHINA TOBACCO CHUANYU INDUSTRIAL CO., LTD. |
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