CN102680427A - Method for identifying cigarette surface aroma quality by applying near infrared spectrum analysis technology - Google Patents
Method for identifying cigarette surface aroma quality by applying near infrared spectrum analysis technology Download PDFInfo
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- CN102680427A CN102680427A CN2012101666970A CN201210166697A CN102680427A CN 102680427 A CN102680427 A CN 102680427A CN 2012101666970 A CN2012101666970 A CN 2012101666970A CN 201210166697 A CN201210166697 A CN 201210166697A CN 102680427 A CN102680427 A CN 102680427A
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- 235000019504 cigarettes Nutrition 0.000 title claims abstract description 53
- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000005516 engineering process Methods 0.000 title claims abstract description 13
- 238000004458 analytical method Methods 0.000 title abstract description 4
- 238000002329 infrared spectrum Methods 0.000 title abstract 2
- 238000004451 qualitative analysis Methods 0.000 claims abstract description 5
- 238000001228 spectrum Methods 0.000 claims description 26
- 238000004611 spectroscopical analysis Methods 0.000 claims description 16
- 230000008878 coupling Effects 0.000 claims description 15
- 238000010168 coupling process Methods 0.000 claims description 15
- 238000005859 coupling reaction Methods 0.000 claims description 15
- 238000010183 spectrum analysis Methods 0.000 claims description 9
- 239000002304 perfume Substances 0.000 claims description 8
- 230000005540 biological transmission Effects 0.000 claims description 6
- 238000009826 distribution Methods 0.000 claims description 6
- 238000010276 construction Methods 0.000 claims description 5
- 230000002950 deficient Effects 0.000 claims description 5
- 238000004519 manufacturing process Methods 0.000 claims description 5
- 238000012360 testing method Methods 0.000 claims description 4
- 238000013480 data collection Methods 0.000 claims description 3
- 241000208125 Nicotiana Species 0.000 abstract description 4
- 235000002637 Nicotiana tabacum Nutrition 0.000 abstract description 4
- 230000003595 spectral effect Effects 0.000 abstract description 4
- 238000002360 preparation method Methods 0.000 abstract description 2
- 238000004364 calculation method Methods 0.000 abstract 1
- 239000003595 mist Substances 0.000 description 32
- 239000003205 fragrance Substances 0.000 description 5
- 238000003908 quality control method Methods 0.000 description 5
- 235000013599 spices Nutrition 0.000 description 5
- 238000005457 optimization Methods 0.000 description 4
- 238000012937 correction Methods 0.000 description 3
- 239000000796 flavoring agent Substances 0.000 description 2
- 235000019634 flavors Nutrition 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000000149 argon plasma sintering Methods 0.000 description 1
- 238000004587 chromatography analysis Methods 0.000 description 1
- 235000009508 confectionery Nutrition 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000012850 discrimination method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000009499 grossing Methods 0.000 description 1
- 241000411851 herbal medicine Species 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000002203 pretreatment Methods 0.000 description 1
- 235000019633 pungent taste Nutrition 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 230000035807 sensation Effects 0.000 description 1
- 235000019615 sensations Nutrition 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a method for identifying the surface aroma quality of cigarettes by applying a near infrared spectrum analysis technology. Firstly, storing the spectral data of the qualified top note in a computer, establishing a similarity matching model of the brand top note by using a qualitative analysis method of similarity matching in TQ analysis 7.1 software, and obtaining a similarity matching critical value of the brand top note through calculation. When the top note quality is identified, the same method is applied to collect the spectral data of the top note to be identified, the spectral similarity matching value of the top note to be identified is calculated, when the similarity matching value of the top note to be identified is larger than or equal to the similarity matching critical value of the top note of the brand of cigarettes, the top note is qualified, and otherwise, the top note quality is unqualified. The identification method has the advantages of less required sample amount, no need of pretreatment and sample preparation procedures in the identification process, simple identification process, suitability for popularization in the tobacco industry and good application prospect in controlling the surface aroma quality stability of cigarettes.
Description
Technical field
The invention belongs to cigarette quality control technology field, be specifically related to a kind of application near infrared (NIR) spectral analysis technique and differentiate the fragrant method for quality of cigarette table.
Background technology
The purpose of perfuming cigarette mainly is in order to set off cigarette perfume (or spice), under the prerequisite of not damaging the original fragrance of tobacco leaf, to cover assorted gas.Because the difference of leaf group quality and fall the utilization of burnt measure, can cause cigarette product fragrance to lack or low and deep, can replenish graceful fragrance through perfuming; Perfuming can also add the stronger characteristic spices of volatility, gives cigarette unique fragrance, increases the attractive force to the consumer; In addition, perfuming can also increase sweet sense, improve inhale flavor, covers or weakens some assorted gas, pungency, dry sensation and harsh feeling; The perfuming more important role is and to coordinate the fragrance organic assembling of the different grades of tobacco of dissimilar, different cultivars, the different place of production, different year production, can also cover or water down assorted gas simultaneously, improves quality.Therefore, the quality stability that the cigarette table is fragrant is directly connected to the quality stability of cigarette product.And cigarette receives influence of various factors such as raw material, processing with the table perfume (or spice) natural perfume material that has drawn from mostly, and the complicacy of its chemical constitution and diversity always are the emphasis and the difficult point of quality control.
The method of quality control that existing cigarette table is fragrant mainly is to smell perfume (or spice) etc. through physical index such as acidity, miscible degree, refraction index, volatile matter total amount and optical activity and perfumer's manual work, and method is comparatively single and unilateral.It is the focus of studying at present that the method for utilization chromatographic fingerprinting is carried out quality control to cigarette flavors, but chromatographic technique pre-treatment process is numerous and diverse, has limited the application of chromatographic fingerprinting.Therefore, in order to guarantee consistance, the fragrant quality discrimination method of a kind of cigarette table of more optimizing of an urgent demand exploitation from the fragrant quality of cigarette table of the different material place of production and different batches.Near-infrared spectral analysis technology be a kind of convenience of developing rapidly in recent years, efficiently, green analytical technology cheaply; Be widely used in industries such as agricultural, forestry, papermaking, tealeaves, food, Chinese herbal medicine discriminating at present, but this method is not appeared in the newspapers as yet in the application aspect the fragrant quality discrimination of cigarette table.
Summary of the invention
The objective of the invention is to existing deficiency, provide a kind of application near-infrared spectral analysis technology to differentiate the fragrant method for quality of cigarette table.Utilize the FT-NIR spectroscopic data, the method for qualitative analysis of applications similar degree coupling is directly set up the fragrant Quality Control Model of cigarette table, realizes the discriminating quickly and accurately to the fragrant quality of cigarette table.
The object of the invention is achieved through following technical scheme.
Except as otherwise noted, the percentage that the present invention adopted is percent by weight.
A kind of application near-infrared spectral analysis technology is differentiated the fragrant method for quality of cigarette table, may further comprise the steps:
(1) spectrum data gathering: the fragrant sample of the table that certain brand cigarette is qualified is packed in the small test tube; Place the near-infrared transmission spectroscopic data of the fragrant sample of acquisition tables on the transmission sample frame; Each sample carries out 10 repeating data collections, and deposits the spectroscopic data of being gathered in computing machine; The spectra collection mode is: the transmitted spectrum drainage pattern; Sweep limit: 4000～10000cm
-1Resolution: 8 cm
-1Scanning times: 16 times; Must gather background spectrum before each collected specimens spectrum;
(2) model construction: the method for qualitative analysis of using the similarity coupling in the TQ analyst7.1 software is set up the fragrant similarity Matching Model of this cigarette brand table;
(3) similarity coupling critical value is calculated: be the basis with the similarity Matching Model; Fragrant spectrum similarity matching value (the Similarity Match Value of utilization TQ analyst7.1 this brand cigarette table of computed in software; SMV); And the fragrant SMV value of this brand cigarette table carried out statistical study, the scope of analysis SMV DATA DISTRIBUTION is confirmed the lower limit numerical value Min of SMV; Likewise; Gather the fragrant spectroscopic data of non-this brand cigarette table of same enterprise production in batches, and the fragrant SMV value of non-this brand cigarette table is calculated, resulting SMV value is carried out statistical study; Analyze the scope of SMV DATA DISTRIBUTION, confirm the upper limit numerical value Max of SMV; Calculate the fragrant similarity coupling critical value CV of this brand cigarette table:
CV＝（Min+?Max）/2
(4) differentiate: repeating step (1); Gather the fragrant spectroscopic data of cigarette table to be identified; The similarity Matching Model fragrant with this brand cigarette table is the basis; Through the fragrant SMV of TQ analyst7.1 computed in software cigarette table to be identified, it is up-to-standard when the fragrant SMV of cigarette table to be identified >=CV, to be accredited as this table perfume, otherwise is defective.
The fragrant sample of the described eligible list of step (1) is the qualified samples that this brand different time, different batches are produced.
Compared with prior art, the present invention has following advantage:
1, uses existing near-infrared spectrometers device,, set up discriminating model very simply in conjunction with the spectroscopic data qualitative analysis function of similarity coupling in the TQ analyst spectral analysis software.
2, discrimination process is simple, after model is built up, need not professional background personnel and can accomplish discrimination process, is easy to promote.
3, model identification result inspection show, model differentiate that accuracy rate is higher, can be used as fragrant quality stability evaluation of a kind of effective cigarette table and testing tool.
Embodiment
The present invention is described in further detail below by the application implementation example, but embodiment is not the qualification to technical scheme of the present invention.
Application implementation example 1
Use the harmless fragrant quality of cloud and mist (soft treasure) table of differentiating of near-infrared spectral analysis technology.
1, sample is prepared: 20 batches in the fragrant sample of eligible list of the cloud and mist (soft treasure) that preparation Hongyunhonghe Tobacco (Group) Co., Ltd. Kunming Cigarette Factory batching center produces, get the structure that 100 grams are used for model for every batch.
2, spectrum data gathering: the Nicolet Antaris type FT-near infrared spectrometer of using power & light company carries out spectra collection to sample.Before the spectra collection, start preheating FT-NIR spectrometer 2 hours.Respectively the fragrant sample of different table is packed in the small test tube, place the near-infrared transmission spectroscopic data of the fragrant sample of acquisition tables on the transmission sample frame.Each sample carries out 10 repeating data collections, and deposits the spectroscopic data of being gathered in computing machine; Wherein the spectra collection mode is: the transmitted spectrum drainage pattern; Sweep limit (Data Range): 4000～10000cm
-1Resolution (Resolution): 8 cm
-1Scanning times: 16 times; Must gather background spectrum before each collected specimens spectrum.
3, model construction:
For the multiple deviation that reduces owing to factors such as sample homogeneities spectrum to be brought, (Multiplicative Scatter Correction MSC) handles original FT-NIR spectrum the additional scatter correction techniques in the application TQ analyst7.1 software.When simultaneously, setting up model correlation parameter being adjusted and optimized is one of main means that improve model prediction ability and prediction effect.Spectrum is carried out smoothing processing and baseline correction, can effectively remove various interference and noises such as baseline wander and light scattering in the near infrared light spectrum signal, fully extract the validity feature information that FT-NIR spectrum comprises, improve the precision of prediction of model.In addition, selecting appropriate spectral range also is one of important link in the modeling process.Through repeatedly computation optimization, select appropriate parameter to set up fragrant similarity coupling (Similarity Match) model of cloud and mist (soft treasure) cigarette table to model.Table 1 is the fragrant modeling parameters setting of cloud and mist (soft treasure) cigarette table.
The modeling optimization parameter of the fragrant similarity Matching Model of table 1 cloud and mist (soft treasure) table
4, calculate similarity coupling critical value:
Be the basis with the fragrant similarity Matching Model of cloud and mist (soft treasure) table; The fragrant SMV of utilization TQ analyst7.1 computed in software cloud and mist (soft treasure) table; And resulting SMV value carried out statistical study, and analyze the scope of SMV DATA DISTRIBUTION, confirm that the lower limit numerical value Min of SMV is 94.12; Likewise; Gather the fragrant spectroscopic data of non-cloud and mist (soft treasure) table in batches, fragrant SMV carries out corresponding calculated to non-cloud and mist (soft treasure) table, and resulting SMV is carried out statistical study; Analyze the scope of SMV DATA DISTRIBUTION, confirm that the upper limit numerical value Max of SMV is 78.17; Calculate fragrant similarity coupling critical value CV=(the 94.12+78.17)/2=86.15 of cloud and mist (soft treasure) table.
5, differentiate: repeating step 2; Gather the fragrant spectroscopic data of table to be identified; Be the basis with the fragrant similarity Matching Model of cloud and mist (soft treasure) table; Through the fragrant SMV of TQ analyst7.1 computed in software table to be identified, the eligible list that when the fragrant SMV of table to be identified >=86.15, is accredited as cloud and mist (soft treasure) is fragrant, otherwise is defective.
Application implementation example 2
Use the harmless fragrant quality of cloud and mist (purple) table of differentiating of near-infrared spectral analysis technology:
1, sample is prepared: sample is fragrant with cloud and mist (purple) table, and other is with embodiment 1.
2, spectrum data gathering: with embodiment 1.
3, model construction: selected modeling parameters such as table 2, other is with embodiment 1.
The modeling optimization parameter of the fragrant similarity Matching Model of table 2 cloud and mist (purple) table
4, calculate similarity coupling critical value: be the basis with the fragrant similarity Matching Model of cloud and mist (purple) table, calculate fragrant similarity coupling critical value CV=(the 97.07+77.94)/2=87.51 of cloud and mist (purple) table.
5, differentiate: repeating step 2; Gather the fragrant spectroscopic data of table to be identified; Be the basis with the fragrant similarity Matching Model of cloud and mist (purple) table; Through the fragrant SMV of TQ analyst7.1 computed in software table to be identified, the eligible list that when the fragrant SMV of table to be identified >=87.51, is accredited as cloud and mist (purple) is fragrant, otherwise is defective.
Application implementation example 3
Use the harmless true and false of differentiating cloud and mist (red) cigarette of near-infrared spectral analysis technology:
1, sample is prepared: sample is with cloud and mist (red), and other is with embodiment 1.
2, spectrum data gathering: with embodiment 1.
3, model construction: selected modeling parameters such as table 3, other is with embodiment 1.
The modeling optimization parameter of the fragrant similarity Matching Model of table 3 cloud and mist (red) table
4, calculate similarity coupling critical value: be the basis with the fragrant similarity Matching Model of cloud and mist (red) table, calculate fragrant similarity coupling critical value CV=(the 96.08+79.60)/2=87.84 of cloud and mist (red) table.
5, differentiate: repeating step 2; Gather the fragrant spectroscopic data of table to be identified; Be the basis with the fragrant similarity Matching Model of cloud and mist (red) table; Through the fragrant SMV of TQ analyst7.1 computed in software table to be identified, the eligible list that when the fragrant SMV of table to be identified >=87.84, is accredited as cloud and mist (red) is fragrant, otherwise is defective.
Application implementation example 4
Table perfume (or spice) to cloud and mist (soft treasure), cloud and mist (purple) and 3 trade mark cigarette of cloud and mist (red) is differentiated, investigates the discriminating accuracy rate of this method.Get 30 fragrant samples of table (wherein 20 are model tuning collection trade mark table perfume, and 10 fragrant for non-model tuning collection trade mark table) respectively and identify, obtain the SMV of each sample and calibration set sample respectively.The result sees table 4,5 and 6.The result shows that they all reach 100% to the fragrant quality discrimination judgement of cigarette table.
The fragrant similarity Matching Model of table 4 cloud and mist (soft treasure) table is to fragrant the predicting the outcome of dissimilar tables
The fragrant similarity Matching Model of table 5 cloud and mist (purple) table is to fragrant the predicting the outcome of dissimilar tables
The fragrant similarity Matching Model of table 6 cloud and mist (red) table is to fragrant the predicting the outcome of dissimilar tables
Claims (1)
1. use the fragrant method for quality of near-infrared spectral analysis technology discriminating cigarette table for one kind, may further comprise the steps:
(1) spectrum data gathering: the fragrant sample of the table that certain brand cigarette is qualified is packed in the small test tube; Place the near-infrared transmission spectroscopic data of the fragrant sample of acquisition tables on the transmission sample frame; Each sample carries out 10 repeating data collections, and deposits the spectroscopic data of being gathered in computing machine; The spectra collection mode is: the transmitted spectrum drainage pattern; Sweep limit: 4000～10000cm
-1Resolution: 8 cm
-1Scanning times: 16 times; Must gather background spectrum before each collected specimens spectrum;
(2) model construction: the method for qualitative analysis of using the similarity coupling in the TQ analyst7.1 software is set up the fragrant similarity Matching Model of this cigarette brand table;
(3) similarity coupling critical value is calculated: be the basis with the similarity Matching Model; The fragrant spectrum similarity matching value SMV of utilization TQ analyst7.1 this brand cigarette table of computed in software; And the fragrant SMV value of this brand cigarette table carried out statistical study; Analyze the scope of SMV DATA DISTRIBUTION, confirm the lower limit numerical value Min of SMV; Likewise; Gather the fragrant spectroscopic data of non-this brand cigarette table of same enterprise production in batches, and the fragrant SMV value of non-this brand cigarette table is calculated, resulting SMV value is carried out statistical study; Analyze the scope of SMV DATA DISTRIBUTION, confirm the upper limit numerical value Max of SMV; Calculate the fragrant similarity coupling critical value CV of this brand cigarette table:
CV＝（Min+?Max）/2
(4) differentiate: repeating step (1); Gather the fragrant spectroscopic data of cigarette table to be identified; The similarity Matching Model fragrant with this brand cigarette table is the basis; Through the fragrant SMV of TQ analyst7.1 computed in software cigarette table to be identified, it is up-to-standard when the fragrant SMV of cigarette table to be identified >=CV, to be accredited as this table perfume, otherwise is defective.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103091282A (en) * | 2013-02-06 | 2013-05-08 | 吉林烟草工业有限责任公司 | Method for detecting quality of tobacco essence perfume |
| CN103217389A (en) * | 2013-04-16 | 2013-07-24 | 红云红河烟草(集团)有限责任公司 | Method for accurately representing material processing strength of cigarette loosening and moisture regaining process |
| CN103411895A (en) * | 2013-08-23 | 2013-11-27 | 中国检验检疫科学研究院 | Near infrared spectrum identification method of adulteration of pearl powder |
| CN110487878A (en) * | 2019-08-16 | 2019-11-22 | 陕西科技大学 | A kind of adulterated determination method of wide spectrum of fresh sheep cream |
| CN113804648A (en) * | 2021-09-18 | 2021-12-17 | 上海益实智能科技有限公司 | Tobacco online real-time monitoring device and application thereof in tobacco quality nondestructive rapid quality control |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103091282A (en) * | 2013-02-06 | 2013-05-08 | 吉林烟草工业有限责任公司 | Method for detecting quality of tobacco essence perfume |
| CN103091282B (en) * | 2013-02-06 | 2015-04-01 | 吉林烟草工业有限责任公司 | Method for detecting quality of tobacco essence perfume |
| CN103217389A (en) * | 2013-04-16 | 2013-07-24 | 红云红河烟草(集团)有限责任公司 | Method for accurately representing material processing strength of cigarette loosening and moisture regaining process |
| CN103411895A (en) * | 2013-08-23 | 2013-11-27 | 中国检验检疫科学研究院 | Near infrared spectrum identification method of adulteration of pearl powder |
| CN110487878A (en) * | 2019-08-16 | 2019-11-22 | 陕西科技大学 | A kind of adulterated determination method of wide spectrum of fresh sheep cream |
| CN113804648A (en) * | 2021-09-18 | 2021-12-17 | 上海益实智能科技有限公司 | Tobacco online real-time monitoring device and application thereof in tobacco quality nondestructive rapid quality control |
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Application publication date: 20120919 |