CN102706811A - Method for identifying sugar quality of cigarette by utilizing near infrared light spectral analysis technique - Google Patents
Method for identifying sugar quality of cigarette by utilizing near infrared light spectral analysis technique Download PDFInfo
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- CN102706811A CN102706811A CN2012101667456A CN201210166745A CN102706811A CN 102706811 A CN102706811 A CN 102706811A CN 2012101667456 A CN2012101667456 A CN 2012101667456A CN 201210166745 A CN201210166745 A CN 201210166745A CN 102706811 A CN102706811 A CN 102706811A
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Abstract
The invention discloses a method for identifying sugar quality of cigarette by utilizing near infrared light spectral analysis technique. The method comprises the steps as follows: storing spectroscopic data of qualified sugar of cigarette of a certain brand to a computer, building a similarity degree match model of the sugar of the cigarette of the brand by applying a similarity degree match qualitative analysis method in TQ analyst 7.1 software, and calculating to obtain the similarity degree match critical value of the sugar of the cigarette of the brand; and while identifying the sugar quality, collecting the spectroscopic data of the to-be-identified sugar by utilizing the same method, calculating the spectrum similarity degree match value of the sugar to be identified, judging the sugar to be qualified when the similarity degree match value of the to-be-identified sugar is not less than the similarity degree match critical value of the sugar of the cigarette of the brand, and otherwise, judging the sugar to be unqualified. The identifying method has the advantages that the required sample quantity is lower, the pretreatment and sampling procedures are not needed in the identification process, and the identification process is simple, therefore, the method is very suitable for popularization in the tobacco industry and has excellent application prospects in control of quality stability of the sugar of the cigarette.
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 cigarette sugar material method for quality.
Background technology
The effect of cigarette charging is to improve the sucking quality of cigarette, forms the peculiar style of cigarette brand.On the one hand, cigarette charging can be regulated the potential of hydrogen of flue gas, improves and inhales flavor, makes pleasant impression comfortable; On the other hand, cigarette charging can suitably increase cigarette flavor, covers and remove bad assorted gas and pungency that tobacco leaf itself brings; Simultaneously, cigarette charging can also improve the physical property of tobacco, like humectation property, pliability, flammability, pipe tobacco color and mildew-resistant etc.; In addition, cigarette charging also can be on the composition of raw materials basis further balance main chemical compositions, the fragrant cigarette product style of also giving of adjustment cigarette.Therefore, the quality of cigarette sugar material directly influences the quality of cigarette product.And cigarette sugar is expected owing to receive influence of various factors such as raw material, processing, and the complicacy of its chemical constitution and diversity always are the emphasis and the difficult point of quality control.
The quality discrimination of cigarette sugar material at present commonly used is mainly smelt 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.Recently, the method for utilization chromatographic fingerprinting is carried out quality control to cigarette sugar material and is become the research focus, but chromatographic technique pre-treatment process is numerous and diverse, has limited the application of chromatographic fingerprinting.Therefore, in order to guarantee the consistance from the cigarette sugar material of the different material place of production and different batches, the cigarette sugar material quality discrimination method of more optimizing is developed in an urgent demand.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 quality discrimination of cigarette sugar material.
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 cigarette sugar material method for quality.Utilize the FT-NIR spectroscopic data, the method for qualitative analysis of applications similar degree coupling is directly set up cigarette with sugar material Quality Control Model, realizes the discriminating quickly and accurately to cigarette sugar material quality.
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 cigarette sugar material method for quality, may further comprise the steps:
(1) spectrum data gathering: the sugar material sample that certain brand cigarette is qualified is packed in the small test tube; Place the near-infrared transmission spectroscopic data of gathering sugar material sample 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 similarity Matching Model of this cigarette brand sugar material;
(3) similarity coupling critical value is calculated: be the basis with the similarity Matching Model; Spectrum similarity matching value (the Similarity Match Value of this cigarette brand sugar material of utilization TQ analyst7.1 computed in software; SMV); And the SMV value of this cigarette brand sugar material carried out statistical study, the scope of analysis SMV DATA DISTRIBUTION is confirmed the lower limit numerical value Min of SMV; Likewise; Gather the spectroscopic data of non-this brand cigarette sugar material of same enterprise production in batches, and the SMV value of non-this brand cigarette sugar material 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 similarity coupling critical value CV of this cigarette brand sugar material:
CV＝（Min+?Max）/2
(4) differentiate: repeating step (1); Gather sugar material to be identified spectroscopic data; Similarity Matching Model with this cigarette brand sugar material is the basis; Through the SMV of TQ analyst7.1 computed in software cigarette to be identified sugar material, it is up-to-standard when the SMV of cigarette sugar material to be identified >=CV, to be accredited as this sugar material, otherwise is defective.
The described qualified sugar material sample 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 material quality stability evaluation of a kind of effective cigarette sugar and control 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 quality of differentiating cloud and mist (soft treasure) sugar material of near-infrared spectral analysis technology.
1, sample is prepared: prepares each 20 batches in the qualified sugar material sample of the cloud and mist (soft treasure) that Hongyunhonghe Tobacco (Group) Co., Ltd. Kunming Cigarette Factory batching center produces during in January, 2010 to Dec, get 100 for every batch and restrain the structure that is used for model.
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 different sugar material sample is packed in the small test tube, place the near-infrared transmission spectroscopic data of gathering sugar material sample 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 similarity coupling (Similarity Match) model of cloud and mist (soft treasure) cigarette sugar material to model.Table 1 is the modeling parameters setting of cloud and mist (soft treasure) cigarette sugar material.
The modeling optimization parameter of table 1 cloud and mist (soft treasure) sugar material similarity Matching Model
4, calculate similarity coupling critical value:
Similarity Matching Model with cloud and mist (soft treasure) sugar material is the basis; The spectrum similarity matching value SMV of utilization TQ analyst7.1 computed in software cloud and mist (soft treasure) sugar material; And resulting SMV value carried out statistical study; Analyze the scope of SMV DATA DISTRIBUTION, confirm that the lower limit numerical value Min of SMV is 96.35; Likewise; Gather the spectroscopic data of non-cloud and mist (soft treasure) sugar material in batches, the SMV that non-cloud and mist (soft treasure) sugar is expected carries out corresponding calculated, 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 78.64; Calculate similarity coupling critical value CV=(the 96.35+78.64)/2=87.50 of cloud and mist (soft treasure) sugar material.
5, differentiate: repeating step 2; Gather the spectroscopic data of sugar material to be identified; Similarity Matching Model with cloud and mist (soft treasure) sugar material is the basis; Through the SMV of TQ analyst7.1 computed in software sugar material to be identified, when the SMV of sugar material to be identified >=87.50, be accredited as the qualified sugar material of cloud and mist (soft treasure), otherwise be defective.
Application implementation example 2
Use the harmless quality of differentiating cloud and mist (purple) sugar material of near-infrared spectral analysis technology.
1, sample is prepared: sample is with cloud and mist (purple) sugar material, 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 table 2 cloud and mist (purple) sugar material similarity Matching Model
4, calculate similarity coupling critical value: the similarity Matching Model with cloud and mist (purple) sugar material is the basis, calculates similarity coupling critical value CV=(the 95.34+78.96)/2=87.15 of cloud and mist (purple) sugar material.
5, differentiate: repeating step 2; Gather the spectroscopic data of sugar material to be identified; Similarity Matching Model with cloud and mist (purple) sugar material is the basis; Through the SMV of TQ analyst7.1 computed in software sugar material to be identified, when the SMV of sugar material to be identified >=87.15, be accredited as the qualified sugar material of cloud and mist (purple), otherwise be 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 table 3 cloud and mist (red) sugar material similarity Matching Model
4, calculate similarity coupling critical value: the similarity Matching Model with cloud and mist (red) sugar material is the basis, calculates similarity coupling critical value CV=(the 96.96+83.94)/2=90.45 of cloud and mist (red) sugar material.
5, differentiate: repeating step 2; Gather the spectroscopic data of sugar material to be identified; Similarity Matching Model with cloud and mist (red) sugar material is the basis; Through the SMV of TQ analyst7.1 computed in software sugar material to be identified, when the SMV of sugar material to be identified >=90.45, be accredited as the qualified sugar material of cloud and mist (red), otherwise be defective.
Application implementation example 4
Sugar material 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 sugar material samples (wherein 20 are model trade mark sugar material, and 10 are non-model trade mark sugar material) respectively and identify, obtain the SMV of each sample and correcting sample respectively.The result sees table 4,5 and 6.The result shows that they all reach 100% to the quality discrimination judgement of cigarette sugar material.
Table 4 cloud and mist (soft treasure) sugar material similarity Matching Model predicting the outcome to dissimilar sugar material
Table 5 cloud and mist (purple) sugar material similarity Matching Model predicting the outcome to dissimilar sugar material
Table 6 cloud and mist (red) sugar material similarity Matching Model predicting the outcome to dissimilar sugar material
Claims (1)
1. use near-infrared spectral analysis technology discriminating cigarette sugar material method for quality for one kind, may further comprise the steps:
(1) spectrum data gathering: the sugar material sample that certain brand cigarette is qualified is packed in the small test tube; Place the near-infrared transmission spectroscopic data of gathering sugar material sample 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 similarity Matching Model of this cigarette brand sugar material;
(3) similarity coupling critical value is calculated: be the basis with the similarity Matching Model; The spectrum similarity matching value SMV of this cigarette brand sugar material of utilization TQ analyst7.1 computed in software; And the SMV value of this cigarette brand sugar material carried out statistical study; Analyze the scope of SMV DATA DISTRIBUTION, confirm the lower limit numerical value Min of SMV; Likewise; Gather the spectroscopic data of non-this brand cigarette sugar material of same enterprise production in batches, and the SMV value of non-this brand cigarette sugar material 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 similarity coupling critical value CV of this cigarette brand sugar material:
CV＝（Min+?Max）/2
(4) differentiate: repeating step (1); Gather sugar material to be identified spectroscopic data; Similarity Matching Model with this cigarette brand sugar material is the basis; Through the SMV of TQ analyst7.1 computed in software cigarette to be identified sugar material, it is up-to-standard when the SMV of cigarette sugar material to be identified >=CV, to be accredited as this sugar material, otherwise is defective.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104596982A (en) * | 2015-01-30 | 2015-05-06 | 云南中烟工业有限责任公司 | Method for measuring pectin of paper-making reconstituted tobacco by near-infrared diffuse reflection spectrum technology |
| CN104596976A (en) * | 2015-01-30 | 2015-05-06 | 云南中烟工业有限责任公司 | Method for determining protein of paper-making reconstituted tobacco through ear infrared reflectance spectroscopy technique |
| CN106018313A (en) * | 2016-06-14 | 2016-10-12 | 云南中烟工业有限责任公司 | Quality evaluation method for sugar used for cigarettes |
| CN111795943A (en) * | 2020-06-16 | 2020-10-20 | 中国农业科学院茶叶研究所 | Method for nondestructive detection of exogenous doped sucrose in tea based on near infrared spectrum technology |
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| CN101285768A (en) * | 2008-05-29 | 2008-10-15 | 红云烟草(集团)有限责任公司 | Method for damage-free discrimination for genuine-fake cigarette by near-infrared spectral analysis technology |
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- 2012-05-27 CN CN2012101667456A patent/CN102706811A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101285768A (en) * | 2008-05-29 | 2008-10-15 | 红云烟草(集团)有限责任公司 | Method for damage-free discrimination for genuine-fake cigarette by near-infrared spectral analysis technology |
Non-Patent Citations (1)
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| 张峰 等: "近红外透射光谱技术用于烟用香精的品质控制", 《中国烟草学报》, vol. 15, no. 3, 30 June 2009 (2009-06-30), pages 12 - 16 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104596982A (en) * | 2015-01-30 | 2015-05-06 | 云南中烟工业有限责任公司 | Method for measuring pectin of paper-making reconstituted tobacco by near-infrared diffuse reflection spectrum technology |
| CN104596976A (en) * | 2015-01-30 | 2015-05-06 | 云南中烟工业有限责任公司 | Method for determining protein of paper-making reconstituted tobacco through ear infrared reflectance spectroscopy technique |
| CN106018313A (en) * | 2016-06-14 | 2016-10-12 | 云南中烟工业有限责任公司 | Quality evaluation method for sugar used for cigarettes |
| CN111795943A (en) * | 2020-06-16 | 2020-10-20 | 中国农业科学院茶叶研究所 | Method for nondestructive detection of exogenous doped sucrose in tea based on near infrared spectrum technology |
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Application publication date: 20121003 |