CN101710073A - Method for detecting physical and chemical indexes of reconstituted tobacco by near infrared spectrum detection paper making method - Google Patents

Method for detecting physical and chemical indexes of reconstituted tobacco by near infrared spectrum detection paper making method Download PDF

Info

Publication number
CN101710073A
CN101710073A CN 200910218319 CN200910218319A CN101710073A CN 101710073 A CN101710073 A CN 101710073A CN 200910218319 CN200910218319 CN 200910218319 CN 200910218319 A CN200910218319 A CN 200910218319A CN 101710073 A CN101710073 A CN 101710073A
Authority
CN
China
Prior art keywords
physical
spectrum
near infrared
chemical indexes
sample
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
Application number
CN 200910218319
Other languages
Chinese (zh)
Inventor
刘维涓
王保兴
卫青
周瑾
李晓亚
李玲
郭婷婷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
YUNNAN REASCEND SCIENCE AND TECHNOLOGY Co Ltd
Yunnan Reascend Tobacco Technology Group Co Ltd
Original Assignee
YUNNAN REASCEND SCIENCE AND TECHNOLOGY Co Ltd
Yunnan Reascend Tobacco Technology Group Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by YUNNAN REASCEND SCIENCE AND TECHNOLOGY Co Ltd, Yunnan Reascend Tobacco Technology Group Co Ltd filed Critical YUNNAN REASCEND SCIENCE AND TECHNOLOGY Co Ltd
Priority to CN 200910218319 priority Critical patent/CN101710073A/en
Publication of CN101710073A publication Critical patent/CN101710073A/en
Pending legal-status Critical Current

Links

Landscapes

  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The invention relates to a method for detecting physical and chemical indexes of reconstituted tobacco by a near infrared spectrum detection paper making method, which comprises the following steps of: carrying out the detection of the physical and chemical indexes on collected samples one by one by a standard method to obtain quantitative reference data; scanning and collecting spectrums of all the samples, carrying out spectrum preprocessing and eliminating the influence of noise and baseline drift; then corresponding spectrum data to the reference data of all physical and chemical indexes obtained by the standard method one to one and establishing a quantitative model by a partial least square method and mutual verification; carrying out accuracy and reproducibility inspection and then storing the quantitative model in a computer. When the physical and chemical component content of the reconstituted tobacco product samples to be detected needs to be detected, the near infrared spectrum data of the samples to be detected are scanned and collected, and the physical and chemical indexes of the samples to be detected can be analyzed by calling the quantitative model. The method has rapid and accurate detection and low analyzing cost without damaging the analyzing samples and pollution.

Description

Utilize near infrared spectrum to detect the method for papermaking-method reconstituted tobaccos physical and chemical indexes
Technical field
The present invention relates to a detection method that grows tobacco physical and chemical indexes, be specifically related to the detection method of the conventional physical and chemical indexes of a kind of papermaking-method reconstituted tobaccos product.
Background technology
It is to be raw material with offal, cigarette foam, discarded tobacco leaf that papermaking-method reconstituted tobaccos is called tobacco sheets by paper making method again, through leaching concentrate, making beating manufactures paper with pulp, is coated with drying and other steps, comprehensive utilization extraction, separation, papermaking, recombinant technique production near in addition be better than the tobacco high-tech product of natural tobacco leaf.Characteristics such as reconstituted tobacoo has that density is little, filling value height, pliability are good with anti-processability, become a silk rate height, have good burning performance, releasing content of coke tar is low and product plasticity is strong.The quality of reconstituted tobacco quality, the chemical composition content inherent with it has than confidential relation.Therefore, to every kind of reconstituted tobacco product evaluation and quality control, all need to select to measure the main conventional physical and chemical indexes of its part, as composition and content such as moisture, ash content, water-soluble sugar, reducing sugar, nicotine, total nitrogen, potassium, chlorine, nitrate radical, cellulose, lignin, starch, pectin, protein.Tobacco business adopts Continuous Flow Analysis instrument method to measure usually at present.This detection method exists analysis time long, expends reagent, complicated operation, and defectives such as the serious hysteresis of analysis result can't be carried out rapid and accurate analysis detection to end product quality, thereby be influenced and restricted the controlling level and the control ability of reconstituted tobacco product quality.
Summary of the invention
The objective of the invention is at the deficiencies in the prior art, a kind of detection method of the physical and chemical indexes of papermaking-method reconstituted tobaccos fast and accurately is provided.
Purpose of the present invention is achieved by the following technical programs.
Utilize near infrared spectrum to detect the method for papermaking-method reconstituted tobaccos physical and chemical indexes, may further comprise the steps:
1. collect and prepare a collection of papermaking-method reconstituted tobaccos sample;
2. utilize standard method that collected sample is carried out the mensuration of physical and chemical indexes one by one, obtain quantitative reference data;
3. use the spectrum of each sample of specscan system scanning collection again
4. the original spectrum that collects is carried out the spectrum pre-service, abate the noise and the influence of baseline wander;
5. the spectroscopic data that 4. step is obtained and step 2. every physical and chemical indexes reference data of obtaining of standard method carry out correspondingly one by one, adopt partial least square method (PLS1) and mutual-check to set up quantitative model;
6. reject the exceptional value of spectrum and chemical score, set up quantitative model more accurately, be kept in the computing machine;
7. carry out the accuracy and the reappearance check of quantitative model;
8. use the near infrared spectrum data of specscan system scanning collection reconstituted tobacco outturn sample to be measured, call the quantitative model analysis that is stored in the computing machine, obtain the materialization component content of reconstituted tobacco outturn sample to be measured.
The papermaking-method reconstituted tobaccos sample that 1. step of the present invention collects preparation is sheet or 40 purpose powdered samples.The 2. described standard method of step is meant the method for Chinese tobacco industry recommended standard YC/T16.3-2003 " reconstituted tobacco third part: paper process ", YC/T159-2002 " the mensuration continuous flow method of tobacco and tobacco product water-soluble sugar " regulation.The present invention is to adopt the diffuse reflection mode with the spectroscopic data of specscan system scanning collection sample.The described pre-service that spectrum is carried out is meant spectrum is carried out level and smooth and single order or second order differentiate pre-service.
The superiority of near-infrared spectral analysis technology mainly shows in the following areas:
A. analysis speed is fast: the measuring process of spectrum generally can be finished in 1~2min, but the chemical constitution or the character of sample by the quantitative model rapid test of setting up.
B. analysis efficiency height:, can measure the multiple composition and the character of sample simultaneously by the measurement of a spectrum and a plurality of quantitative models of having set up.
C. belong to the non-destructive analysis technology: do not damage sample in the near-infrared spectral measurement process, from the outward appearance to inside, can not exert an influence to sample.
D. analysis cost is low, pollution-free: do not consume sample itself in the sample analysis process, do not use any chemical reagent, analysis cost reduces significantly, and environment is not caused any pollution, belongs to " the green analysis " technology.
E. sample does not generally need pre-service, easy to operate: because stronger penetration capacity and the scattering effect of near infrared light, the power of states of matter and transmittancy can select for use transmission and diffuse reflection to survey the spectrum mode per sample, can directly measure the sample of different states of matters such as liquid, solid, semisolid and gluey class by corresponding load sample device.
F. test favorable reproducibility: because the stability of spectral measurement, the less artificial factor that is subjected to of test result is compared with standard or reference method, and near infrared spectrum generally demonstrates better reappearance.
G. be convenient to be implemented in line analysis: because near infrared spectrum good transport property in optical fiber can make analytical instrument away from the sampling location by optical fiber, be particularly suitable for production run and badly reach sample analysis under the hazardous environment, be implemented in line analysis and remote monitoring.
In addition, because the conventional physical and chemical indexes content of reconstituted tobacco product is general all greater than 0.1%, can satisfy the measurement sensitivity requirement of near-infrared spectral analysis technology.
The invention provides a kind of The pretreatment that do not need, detection speed soon, does not consume reagent, pollution-free, environmental protection, the high papermaking-method reconstituted tobaccos physical and chemical indexes near-infrared spectral analytical method of accuracy.Solve the conventional physical and chemical indexes of existing papermaking-method reconstituted tobaccos and detected deficiencies such as required time is long, reagent consumption is big, the hysteresis of detection feedback.
Embodiment
The present invention is described in further detail below by embodiment, but they are not limitation of the invention.
Embodiment 1:
1. collect A, B, C, D, E, F, G, H, I, J10 product line 100-800 papermaking-method reconstituted tobaccos finished product sheet sample altogether.
2. utilize in Chinese tobacco industry standard YC/T16.3-2003 " reconstituted tobacco third part: the paper process " test method main flume and chemical index detection method that each reconstituted tobacco finished product sheet sample of collecting is carried out water-soluble sugar, nicotine, potassium, chlorinity and measure, obtain conventional materialization component content reference data; The detection method of reducing sugar index is with reference to YC/T159-2002 " the mensuration continuous flow method of tobacco and tobacco product water-soluble sugar ".
3. use specscan system, utilize near-infrared spectrum technique to adopt irreflexive mode that above-mentioned reconstituted tobacco sheet sample is carried out spectral scan one by one, the spectrum that collects each sample is original abosrption spectrogram.
4. carry out level and smooth one by one to the original spectrum of each sample and first derivation is handled, influence with baseline wander abates the noise.
5. the spectroscopic data of all samples that 4. step is obtained carries out corresponding one by one with every physical and chemical indexes reference data that standard method obtains, use partial least square method the spectroscopic data physical and chemical indexes determination data corresponding with it carried out statistical fit, foundation obtains the quantitative model of water-soluble sugar, reducing sugar, nicotine, chlorine, potassium index and deposits computing machine in.The quantitative model correlation parameter sees Table 1.
The correlation parameter of table 1 papermaking-method reconstituted tobaccos finished product sheet sample quantitative model
Index Related coefficient Optimum main gene Cross-check is all just estimated residual error Prediction content range (%)
Water-soluble sugar ??0.95132 ??14 ??0.351 ??8.65-15.64
Reducing sugar ??0.95937 ??14 ??0.300 ??7.64-13.20
Nicotine ??0.97719 ??28 ??0.0195 ??0.52-1.14
Chlorine ??0.96908 ??19 ??0.0193 ??0.43-0.76
Potassium ??0.97249 ??20 ??0.0527 ??1.61-2.53
By table 1 as seen, the correlativity of nicotine, total reducing sugar, reducing sugar, chlorine, potassium model is respectively 0.97719,0.95132,0.95937,0.96908,0.97249, has significant linear relationship between the physical and chemical indexes of spectroscopic data and reconstituted tobacco sheet sample, the near infrared spectrum that the reconstituted tobacco sheet sample is described includes and the closely-related information of physical and chemical indexes, and the check and analysis of making physical and chemical indexes of near infrared spectrum are fully feasible.
When setting up mathematical model, should adopt these two parameters of spectrum influence value Leverage and chemical score error residual to reject the exceptional value of spectrum and chemical score respectively, set up quantitative model more accurately, be kept in the computing machine.
In order to ensure the accuracy and the reliability of follow-up reconstituted tobacco product physical and chemical indexes check and analysis, present embodiment has also carried out reappearance and accuracy checking to the quantitative model of being set up, and proof procedure is as follows:
A. reappearance checking
Adopt reconstituted tobacco water-soluble sugar, reducing sugar, nicotine, chlorion and the potassium ion quantitative model set up that same sample has been carried out 6 parallel spectral scans, analysis result is as shown in table 2.
Table 2 reconstituted tobacco sheet sample near-infrared model reappearance checking result
Order Water-soluble sugar Reducing sugar Nicotine Chlorion Potassium ion
??1 ??13.98 ??11.73 ??0.76 ??0.50 ??1.85
??2 ??13.65 ??11.41 ??0.75 ??0.49 ??1.73
??3 ??14.27 ??11.99 ??0.80 ??0.51 ??1.87
??4 ??13.52 ??11.46 ??0.78 ??0.50 ??1.80
??5 ??13.76 ??11.62 ??0.75 ??0.51 ??1.88
Order Water-soluble sugar Reducing sugar Nicotine Chlorion Potassium ion
??6 ??13.92 ??11.67 ??0.76 ??0.54 ??1.91
Mean value ??13.85 ??11.65 ??0.77 ??0.51 ??1.84
Standard deviation ??0.26 ??0.21 ??0.02 ??0.02 ??0.07
??RSD(%) ??1.91 ??1.79 ??2.66 ??3.36 ??3.58
As can be seen from Table 2, the relative standard deviation RSD (coefficient of variation)<5% of reconstituted tobacco sheet sample water-soluble sugar, reducing sugar, nicotine, chlorion and 6 measured values of potassium ion model illustrates that the quantitative model of being set up has reappearance preferably to sample determination.
B. accuracy checking
Gather 100 papermaking-method reconstituted tobaccos finished product sheet samples (also claiming outside blind sample) in addition, good quantitative model predicts that predicting the outcome is shown in Table 3 to utilize foundation.
Table 3 modelling verification deviation summary sheet
The index verification deviation Nicotine Water-soluble sugar Reducing sugar Potassium ion Chlorion
The external certificate deviation ??1.93% ??2.52% ??2.48% ??2.86% ??1.49%
From table 3, the forecasting accuracy of model is fine.The outside Blind Test mean relative deviation of nicotine, water-soluble sugar, reducing sugar, potassium, chlorine index is respectively 1.93%, 2.52%, 2.48%, 2.86%, 1.49%.
By checking, determined to adopt the feasibility of near infrared spectrum to the conventional physical and chemical indexes content detection of papermaking-method reconstituted tobaccos sheet sample.
6. use the near infrared spectrum data of 3 samples of specscan system scanning collection reconstituted tobacco product to be measured, call the quantitative model analysis that is stored in the computing machine, obtain the materialization component content of reconstituted tobacco outturn sample to be measured respectively, as shown in table 4.
Table 4 reconstituted tobacco sheet sample materialization to be measured component content table
Figure G2009102183190D00061
Can find out that from the deviation of table 4 quantitative model detected value and standard method detected value near infrared spectrum detection method is to the detection accuracy height of the conventional materialization component content of sheet reconstituted tobacco product.
Embodiment 2:
1. collect A, B, C, D, E, F, G, H, I, J10 product line 100-800 papermaking-method reconstituted tobaccos sample altogether, it is Powdered to be prepared as 40 purposes.
2. utilize in Chinese tobacco industry standard YC/T16.3-2003 " reconstituted tobacco third part: the paper process " test method main flume and chemical index detection method that each reconstituted tobacco finished product sheet sample of collecting is carried out water-soluble sugar, nicotine, potassium, chlorinity and measure, obtain conventional materialization component content reference data; The detection method of reducing sugar index is with reference to YC/T159-2002 " the mensuration continuous flow method of tobacco and tobacco product water-soluble sugar ".
3. use specscan system, utilize near-infrared spectrum technique to adopt the diffuse reflection mode that above-mentioned reconstituted tobacco powder sample is carried out spectral scan one by one, the spectrum that collects each sample is original abosrption spectrogram.
4. carry out level and smooth one by one to the original spectrum of each sample and the second order differentiate is handled, influence with baseline wander abates the noise.
5. the spectroscopic data of all samples that 4. step is obtained carries out corresponding one by one with every physical and chemical indexes reference data that standard method obtains, use partial least square method the spectroscopic data physical and chemical indexes determination data corresponding with it carried out statistical fit, foundation obtains the quantitative model of water-soluble sugar, reducing sugar, nicotine, chlorine, potassium index and deposits computing machine in.The quantitative model correlation parameter sees Table 5.
The correlation parameter of table 5 papermaking-method reconstituted tobaccos finished product powdered sample quantitative model
Index Related coefficient Optimum main gene Cross-check is all just estimated residual error Prediction content range (%)
Water-soluble sugar ??0.97150 ??14 ??0.255 ??8.65-15.64
Reducing sugar ??0.97762 ??15 ??0.218 ??7.64-13.20
Nicotine ??0.97099 ??18 ??0.0215 ??0.52-1.17
Chlorine ??0.96715 ??23 ??0.0127 ??0.43-0.73
Potassium ??0.97318 ??16 ??0.0404 ??1.60-2.55
After quantitative model is set up, the reappearance of each index in the model adopted as method as described in the embodiment 1 verify that the RSD value of nicotine, water-soluble sugar, reducing sugar, chlorion, potassium ion is respectively 1.47%, 1.65%, 2.54%, 3.10%, 3.16%, 3.47%.Utilize the good quantitative model of foundation that 20-100 outside blind sample predicted that specifically predicting the outcome sees Table 6 in addition.
Table 6 modelling verification deviation summary sheet
The index verification deviation Nicotine Total reducing sugar Reducing sugar Potassium Chlorine
The external certificate deviation ??1.75% ??2.48% ??2.54% ??2.69% ??1.41%
From table 6, the forecasting accuracy of model is fine.The outside Blind Test mean relative deviation of nicotine, water-soluble sugar, reducing sugar, potassium ion, chlorion index is respectively 1.75%, 2.48%, 2.54%, 2.69%, 1.41%.
6. use the near infrared spectrum data of 3 powdered samples of specscan system scanning collection reconstituted tobacco product to be measured, call the quantitative model analysis that is stored in the computing machine, obtain the materialization component content of reconstituted tobacco product powdered samples to be measured respectively, as shown in table 7.
Table 7 reconstituted tobacco powder sample to be measured materialization component content table
Figure G2009102183190D00081
Can find out that from the deviation of table 7 quantitative model detected value and standard method detected value near infrared spectrum detection method is to the detection accuracy height of the conventional materialization component content of powder reconstituted tobacco product.
The sample of each step of the present invention all can be obtained in producing the enterprise of papermaking-method reconstituted tobaccos, and the composition of sample, manufacturing process etc. are not had specific (special) requirements.

Claims (6)

1. utilize near infrared spectrum to detect the method for papermaking-method reconstituted tobaccos physical and chemical indexes, it is characterized in that, may further comprise the steps:
1. collect and prepare a collection of papermaking-method reconstituted tobaccos sample;
2. utilize standard method that collected sample is carried out the mensuration of physical and chemical indexes one by one, obtain quantitative reference data;
3. use the spectrum of each sample of specscan system scanning collection again;
4. the original spectrum that collects is carried out the spectrum pre-service, abate the noise and the influence of baseline wander;
5. the spectroscopic data that 4. step is obtained and step 2. every physical and chemical indexes reference data of obtaining of standard method carry out correspondingly one by one, adopt partial least square method and cross-check to set up quantitative model;
6. reject the exceptional value of spectrum and chemical score, set up quantitative model more accurately, be kept in the computing machine; , 7. carry out the check of the accuracy of quantitative model and reappearance;
8. use the near infrared spectrum data of specscan system scanning collection reconstituted tobacco outturn sample to be measured, call the quantitative model analysis that is stored in the computing machine, obtain the materialization component content of reconstituted tobacco outturn sample to be measured.
2. the method for utilizing near infrared spectrum to detect the papermaking-method reconstituted tobaccos physical and chemical indexes according to claim 1 is characterized in that the papermaking-method reconstituted tobaccos sample that 1. step collects preparation is sheet or 40 purpose powdered samples.
3. the method for utilizing near infrared spectrum to detect the papermaking-method reconstituted tobaccos physical and chemical indexes according to claim 1, it is characterized in that the 2. described standard method of step is meant the method for Chinese tobacco industry recommended standard YC/T16.3-2003 " reconstituted tobacco third part: paper process ", YC/T159-2002 " the mensuration continuous flow method of tobacco and tobacco product water-soluble sugar " regulation.
4. the method for utilizing near infrared spectrum to detect the papermaking-method reconstituted tobaccos physical and chemical indexes according to claim 1 is characterized in that, is employing diffuse reflection mode with the spectroscopic data of specscan system scanning collection sample.
5. the method for utilizing near infrared spectrum to detect the papermaking-method reconstituted tobaccos physical and chemical indexes according to claim 1 is characterized in that, the described pre-service that spectrum is carried out is meant spectrum is carried out level and smooth and single order or second order differentiate pre-service.
6. the method for utilizing near infrared spectrum to detect the papermaking-method reconstituted tobaccos physical and chemical indexes according to claim 1, it is characterized in that, adopt these two parameters of spectrum influence value (Leverage) and chemical score error (residual) to reject the exceptional value of spectrum and chemical score respectively.
CN 200910218319 2009-12-10 2009-12-10 Method for detecting physical and chemical indexes of reconstituted tobacco by near infrared spectrum detection paper making method Pending CN101710073A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 200910218319 CN101710073A (en) 2009-12-10 2009-12-10 Method for detecting physical and chemical indexes of reconstituted tobacco by near infrared spectrum detection paper making method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 200910218319 CN101710073A (en) 2009-12-10 2009-12-10 Method for detecting physical and chemical indexes of reconstituted tobacco by near infrared spectrum detection paper making method

Publications (1)

Publication Number Publication Date
CN101710073A true CN101710073A (en) 2010-05-19

Family

ID=42402870

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 200910218319 Pending CN101710073A (en) 2009-12-10 2009-12-10 Method for detecting physical and chemical indexes of reconstituted tobacco by near infrared spectrum detection paper making method

Country Status (1)

Country Link
CN (1) CN101710073A (en)

Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102313708A (en) * 2010-06-29 2012-01-11 北京市农林科学院 Method for quantitatively detecting capsaicine
CN102640983A (en) * 2012-04-16 2012-08-22 红云红河烟草(集团)有限责任公司 Cutting method for tobacco leaf section threshing redrying
CN102721619A (en) * 2012-07-02 2012-10-10 云南烟草科学研究院 Test method for bursting strength of tobaccos reconstituted by papermaking method
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
CN103852441A (en) * 2014-02-21 2014-06-11 广东中烟工业有限责任公司 Method for quantitative detection of tobacco lignin by adopting mid-infrared spectroscopy
CN104568828A (en) * 2015-01-30 2015-04-29 云南中烟工业有限责任公司 Method for determining tensile strength of reproduced tobacco leaves of papermaking method by near-infrared diffuse reflection spectrum
CN104596980A (en) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 Method for measuring hot water solvends of reconstituted tobacco by paper-making process by virtue of near infrared reflectance spectroscopy technique
CN104596977A (en) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 Method for determining smoldering rate of paper-making reconstituted tobacco through ear infrared reflectance spectroscopy technique
CN104596975A (en) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 Method for measuring lignin of reconstituted tobacco by paper-making process by virtue of near infrared reflectance spectroscopy technique
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
CN104596974A (en) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 Method for measuring paper process reconstituted tobacco filling value via near infrared diffuse reflection spectroscopy
CN104596979A (en) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 Method for measuring cellulose of reconstituted tobacco by virtue of near infrared reflectance spectroscopy technique
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
CN104596978A (en) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 Method for determining quantitative physical indexes of paper-making tobacco sheet by virtue of near-infrared reflectance spectroscopy
CN105021564A (en) * 2015-08-06 2015-11-04 云南同创检测技术股份有限公司 Method for determining content of ergosterol in tobacco based on near infrared spectroscopic analysis technology
CN109738389A (en) * 2019-01-15 2019-05-10 西派特(北京)科技有限公司 Alkali fibre component quantifying test method based on near-infrared spectrum technique
CN110160985A (en) * 2019-06-19 2019-08-23 红云红河烟草(集团)有限责任公司 A kind of method of the online chemical component detector test nicotine content of adjustment
CN110702482A (en) * 2019-10-23 2020-01-17 云南烟叶复烤有限责任公司楚雄复烤厂 Preparation and application of tobacco chemical component off-line near-infrared detection monitoring sample
CN111781162A (en) * 2020-07-14 2020-10-16 上海烟草集团有限责任公司 Method, system, service device and readable storage medium for manufacturing tobacco sheets
CN112684029A (en) * 2020-12-05 2021-04-20 云南省烟草农业科学研究院 Method and device for rapidly detecting maturity of tobacco leaves based on content of different metabolites of tobacco leaves
CN113804644A (en) * 2021-09-18 2021-12-17 贵州省烟草科学研究院 Tobacco leaf curing process chemical index prediction method based on near infrared spectrum
CN114441470A (en) * 2020-11-05 2022-05-06 上海烟草集团有限责任公司 Method, system, medium and apparatus for predictive regulation of chemical constituents in tobacco sheet

Cited By (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102313708A (en) * 2010-06-29 2012-01-11 北京市农林科学院 Method for quantitatively detecting capsaicine
CN102640983A (en) * 2012-04-16 2012-08-22 红云红河烟草(集团)有限责任公司 Cutting method for tobacco leaf section threshing redrying
CN102640983B (en) * 2012-04-16 2014-04-16 红云红河烟草(集团)有限责任公司 Cutting method for tobacco leaf segmenting, threshing and redrying
CN102721619A (en) * 2012-07-02 2012-10-10 云南烟草科学研究院 Test method for bursting strength of tobaccos reconstituted by papermaking method
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
CN103852441A (en) * 2014-02-21 2014-06-11 广东中烟工业有限责任公司 Method for quantitative detection of tobacco lignin by adopting mid-infrared spectroscopy
CN104596974A (en) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 Method for measuring paper process reconstituted tobacco filling value via near infrared diffuse reflection spectroscopy
CN104596980A (en) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 Method for measuring hot water solvends of reconstituted tobacco by paper-making process by virtue of near infrared reflectance spectroscopy technique
CN104596977A (en) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 Method for determining smoldering rate of paper-making reconstituted tobacco through ear infrared reflectance spectroscopy technique
CN104596975A (en) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 Method for measuring lignin of reconstituted tobacco by paper-making process by virtue of near infrared reflectance spectroscopy technique
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
CN104568828A (en) * 2015-01-30 2015-04-29 云南中烟工业有限责任公司 Method for determining tensile strength of reproduced tobacco leaves of papermaking method by near-infrared diffuse reflection spectrum
CN104596979A (en) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 Method for measuring cellulose of reconstituted tobacco by virtue of near infrared reflectance spectroscopy technique
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
CN104596978A (en) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 Method for determining quantitative physical indexes of paper-making tobacco sheet by virtue of near-infrared reflectance spectroscopy
CN105021564A (en) * 2015-08-06 2015-11-04 云南同创检测技术股份有限公司 Method for determining content of ergosterol in tobacco based on near infrared spectroscopic analysis technology
CN109738389A (en) * 2019-01-15 2019-05-10 西派特(北京)科技有限公司 Alkali fibre component quantifying test method based on near-infrared spectrum technique
CN110160985A (en) * 2019-06-19 2019-08-23 红云红河烟草(集团)有限责任公司 A kind of method of the online chemical component detector test nicotine content of adjustment
CN110702482A (en) * 2019-10-23 2020-01-17 云南烟叶复烤有限责任公司楚雄复烤厂 Preparation and application of tobacco chemical component off-line near-infrared detection monitoring sample
CN111781162A (en) * 2020-07-14 2020-10-16 上海烟草集团有限责任公司 Method, system, service device and readable storage medium for manufacturing tobacco sheets
CN114441470A (en) * 2020-11-05 2022-05-06 上海烟草集团有限责任公司 Method, system, medium and apparatus for predictive regulation of chemical constituents in tobacco sheet
CN114441470B (en) * 2020-11-05 2023-12-22 上海烟草集团有限责任公司 Method, system, medium and equipment for predictive regulation of chemical components in tobacco sheets
CN112684029A (en) * 2020-12-05 2021-04-20 云南省烟草农业科学研究院 Method and device for rapidly detecting maturity of tobacco leaves based on content of different metabolites of tobacco leaves
CN113804644A (en) * 2021-09-18 2021-12-17 贵州省烟草科学研究院 Tobacco leaf curing process chemical index prediction method based on near infrared spectrum

Similar Documents

Publication Publication Date Title
CN101710073A (en) Method for detecting physical and chemical indexes of reconstituted tobacco by near infrared spectrum detection paper making method
CN102506731B (en) Method for detecting reconstituted tobacco thickness in papermaking process by utilizing near infrared spectrums
CN101710072A (en) Method for detecting physical and chemical indexes of reconstituted tobacco extracting solution and tobacco extracting paste by near infrared spectrum detection paper making method
CN104897607A (en) Food modeling and rapid detecting integration method and system adopting portable NIRS (near infrared spectroscopy)
CN103033486B (en) Method for near infrared spectrum monitoring of quality of pericarpium citri reticulatae and citrus chachiensis hortorum medicinal materials
CN102636450A (en) Method for detecting wolfberry polyose content in Chinese wolfberry in a nondestructive way based on near infrared spectrum technology
CN105158195A (en) Method for rapidly determining holocellulose content of pulping material based on near-infrared spectrum technology
CN101498658A (en) Flue gas chemical constituents prediction method based on Fourier transform near infrared spectrum of Cambridge filter capturing flue gas particulate matter
CN101387624B (en) Diagnostic method for essential chemical component of flue-cured tobacco
CN105717066A (en) Near-infrared spectrum recognition model based on weighting association coefficients
CN111537469A (en) Apple quality rapid nondestructive testing method based on near-infrared technology
CN104596979A (en) Method for measuring cellulose of reconstituted tobacco by virtue of near infrared reflectance spectroscopy technique
CN104596975A (en) Method for measuring lignin of reconstituted tobacco by paper-making process by virtue of near infrared reflectance spectroscopy technique
CN101900673A (en) Method of on-line non-destructive testing paper performance
CN104596981A (en) Method for distinguishing paper process reconstituted tobacco products via near infrared spectroscopy in combination with PLS-DA
CN104596976A (en) Method for determining protein of paper-making reconstituted tobacco through ear infrared reflectance spectroscopy technique
CN105223140A (en) The method for quickly identifying of homology material
CN105699324A (en) Method for rapidly detecting content of flavones in cyclocarya paliurus leaves
CN104713846A (en) Modeling method for rapidly detecting content of starch in tobacco by using near infrared spectroscopy
CN111272686A (en) Hyperspectral detection method for iron grade of iron ore mineral powder
CN104596980A (en) Method for measuring hot water solvends of reconstituted tobacco by paper-making process by virtue of near infrared reflectance spectroscopy technique
CN114088661A (en) Online prediction method for chemical components in tobacco leaf curing process based on transfer learning and near infrared spectrum
CN104568828A (en) Method for determining tensile strength of reproduced tobacco leaves of papermaking method by near-infrared diffuse reflection spectrum
CN110567385A (en) Hyperspectral technology-based construction thickness detection method for building reflective insulation coating
CN111337452A (en) Method for verifying feasibility of spectral data model transfer algorithm

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C12 Rejection of a patent application after its publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20100519