CN109374574A - A method of identifying the sense of cured tobacco leaf wax using near infrared light spectrum information - Google Patents
A method of identifying the sense of cured tobacco leaf wax using near infrared light spectrum information Download PDFInfo
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- CN109374574A CN109374574A CN201811560622.4A CN201811560622A CN109374574A CN 109374574 A CN109374574 A CN 109374574A CN 201811560622 A CN201811560622 A CN 201811560622A CN 109374574 A CN109374574 A CN 109374574A
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- 241000208125 Nicotiana Species 0.000 title claims abstract description 108
- 235000002637 Nicotiana tabacum Nutrition 0.000 title claims abstract description 108
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000001228 spectrum Methods 0.000 title claims abstract description 15
- 238000002329 infrared spectrum Methods 0.000 claims abstract description 15
- 238000004445 quantitative analysis Methods 0.000 claims abstract description 15
- 238000000605 extraction Methods 0.000 claims abstract description 6
- 238000002835 absorbance Methods 0.000 claims description 9
- 238000004611 spectroscopical analysis Methods 0.000 claims description 7
- 239000000284 extract Substances 0.000 claims description 5
- 230000003595 spectral effect Effects 0.000 claims description 3
- 238000012417 linear regression Methods 0.000 claims description 2
- 235000019504 cigarettes Nutrition 0.000 claims 1
- 239000001993 wax Substances 0.000 description 83
- 230000000694 effects Effects 0.000 description 5
- 238000012850 discrimination method Methods 0.000 description 3
- 238000011156 evaluation Methods 0.000 description 2
- 230000001953 sensory effect Effects 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000002790 cross-validation Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
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Abstract
The present invention discloses a kind of method for identifying the sense of cured tobacco leaf wax using near infrared light spectrum information, it is characterized by: acquiring the near infrared light spectrum information of different wax sense type degree tobacco leaves by near infrared spectrometer, it is filtered out first using successive projection algorithm and big characteristic wavelength is contributed to tobacco leaf wax sense, then tobacco leaf wax sense Quantitative Analysis Model is established using the characteristic wavelength of extraction, the acquisition of near infrared spectrum and the extraction of characteristic wavelength are finally carried out to tobacco leaf sample to be measured, it substitutes into the tobacco leaf wax sense Quantitative Analysis Model established and calculates wax inductance value, the type and its degree of the tobacco leaf sample wax sense to be measured are judged further according to the size of wax inductance value.The invention avoids depending on tobacco leaf appearance connoisseur in the prior art to carry out identifying the drawbacks of existing subjectivity is strong, timeliness is low, poor reproducibility, objectivity, rapidity and the accuracy of wax sense identification are improved.
Description
Technical field
The invention belongs to tobacco leaf external appearance characteristic detection technique fields, are reflected more particularly, to a kind of using near infrared light spectrum information
The method of other cured tobacco leaf wax sense.
Background technique
Cured tobacco leaf wax sense refers to the reflection of cured tobacco leaf surface wax visually, cured tobacco leaf wax sense be divided into it is strong,
In, weak 3 seed type, refer to that tobacco leaf surface wax is thicker, wax sense is obvious by force, in refer to that tobacco leaf surface has wax, wax sense one
As, it is weak to refer to that tobacco leaf surface lacks that wax, wax sense are weak, and 3 seed type of cured tobacco leaf wax sense exists significant in China tobacco leaf producing region
Regional allocations, the identification of cured tobacco leaf wax sense is the main external appearance feature foundation of cured tobacco leaf parting, for Flue-cured Tobacco
The directional trend production and equalization processing, modularization use of leaf raw material have great importance.Cured tobacco leaf wax sense at present
Discrimination method is tobacco leaf appearance expert-opinion method, i.e., carries out Qualitative Identification (wax to tobacco leaf wax sense by tobacco leaf appearance expert
Sense type be it is strong, in, it is weak) and quantify (wax sense is 0.0~3.5 point by force, in be 3.5~6.5 points, it is weak be 6.5~10.0 points)
Identification, but tobacco leaf appearance expert-opinion method depends on the Subjective of tobacco leaf appearance connoisseur, strong, timeliness that there are subjectivities
The drawbacks such as low, poor reproducibility, therefore, research establish it is a kind of it is objective, fast and accurately cured tobacco leaf wax sense discrimination method has
Important meaning.
Summary of the invention
The purpose of the present invention is to overcome, subjectivity existing for above-mentioned existing tobacco leaf wax sense discrimination method is strong, timeliness
Property the technical problems such as low, poor reproducibility and specially provide a kind of identify the sense of cured tobacco leaf wax using near infrared light spectrum information
Method.
The purpose of the present invention is achieved through the following technical solutions:
A method of identifying the sense of cured tobacco leaf wax using near infrared light spectrum information, the specific steps are as follows:
(1) selection of wax sense tobacco leaf sample and expert sensory's identification: selection represents different sources, different brackets, different waxes
Feel the cured tobacco leaf sample (sample size at least 200) of type degree；By tobacco leaf appearance connoisseur to the sense of tobacco leaf wax into
Capable qualitative, quantitative naked eyes evaluation.
(2) acquisition of near infrared spectrum: acquiring the near infrared spectrum of each tobacco leaf sample by near infrared spectrometer respectively,
Raw spectroscopic data as each tobacco leaf sample；The main working parameters of near infrared spectrometer are as follows: spectral scanning range 950nm~
1650nm, resolution ratio 2nm, sweep time 5 seconds, in scan position vertical range tobacco leaf leaf at 4cm.
(3) characteristic wavelength of raw spectroscopic data extracts: using successive projection algorithm from the original spectrum of each tobacco leaf sample
Filtered out in information and contribute wax sense big characteristic wavelength, the characteristic wavelength point filtered out be 11210nm, 1340nm,
1360nm, 1430nm, 1470nm, 1500nm and 1540nm.
(4) foundation and verifying of tobacco leaf wax sense Quantitative Analysis Model: using the characteristic wavelength extracted, using multiple linear
The tobacco leaf wax sense Quantitative Analysis Model that homing method is established are as follows: YWax sense=8.803+479.170 A1210-1551.630 A1340+
1123.735 A1360-150.416 A1430-84.428 A1470-473.218 A1500+ 664.735A1540, wherein YWax senseRepresent wax
Texture value, A1210、A1340、A1360、A1430、A1470、A1500、A1540Respectively represent 1210nm, 1340nm, 1360nm, 1430nm,
The absorbance value of 1470nm, 1500nm, 1540nm wavelength points, and model is verified with stronger predictive ability.
(5) acquisition and feature of near infrared spectrum the identification of tobacco leaf sample wax sense to be measured: are carried out to tobacco leaf sample to be measured
The absorbance value of characteristic wavelength point is substituted into tobacco leaf wax sense Quantitative Analysis Model by the extraction of wavelength, calculates wax inductance value；Root
Judge the type and its degree of the tobacco leaf sample wax sense to be measured according to the size of wax inductance value, wax when wax inductance value 6.5~10.0
Texture type be it is weak, during wax sense type is when wax inductance value 3.5~6.5, wax sense type is when wax inductance value 0.0~3.5
By force；Wax inductance value is smaller, and wax sense degree is higher.
Beneficial effects of the present invention are as follows: establishing the mirror of the cured tobacco leaf wax sense based on near-infrared spectral analysis technology
Other method, avoid depend in the prior art tobacco leaf appearance connoisseur identify existing subjectivity it is strong, when
The drawbacks of effect property low, poor reproducibility；The authenticating value of the method for the present invention is with true value (expert appraisal value) average relative error
6.01%, improve the objectivity, rapidity and accuracy of wax sense characteristic differentiation.
Detailed description of the invention
Fig. 1 is present invention atlas of near infrared spectra collected.
Fig. 2 is that tobacco leaf wax sense characteristic wavelength number determines figure.
Fig. 3 is that tobacco leaf wax sense characteristic wavelength point extracts figure.
Fig. 4 is the tobacco leaf wax sense prediction effect figure of prediction group sample.
Specific embodiment
The present invention is described further with reference to embodiments (attached drawing):
A method of identifying the sense of cured tobacco leaf wax using near infrared light spectrum information, carry out in accordance with the following steps:
(1) 301 the preparation of wax sense tobacco leaf sample and expert sensory's identification: are chosen from Fujian, Hunan, Jiangxi, four
River, Hubei, Yunnan, Guizhou, Chongqing, Shaanxi, Liaoning, Jilin, Heilungkiang, Henan, Shandong, 15, Anhui different sources, difference
The cured tobacco leaf sample of grade, different wax sense type degree；By tobacco leaf appearance connoisseur according to wax sense weak type be 6.5~
10.0 points, the scoring criterion that medium-sized wax sense is 3.5~6.5 points, wax sense strong type is 0.0~3.5 point to the sense of tobacco leaf wax into
Row is qualitative, quantifies naked eyes evaluation, wherein weak type wax sense tobacco sample 70, wax medium texture tobacco sample 166, strong type wax
Texture tobacco sample 65.
(2) acquisition of near infrared spectrum: acquiring the near infrared spectrum of each tobacco leaf sample by near infrared spectrometer respectively,
Raw spectroscopic data as each tobacco leaf sample；The main working parameters of near infrared spectrometer are as follows: spectral scanning range 950nm~
1650nm, resolution ratio 2nm, sweep time 5 seconds, in scan position vertical range tobacco leaf leaf at 4cm, Fig. 1 was acquired by the present invention
Atlas of near infrared spectra.
(3) characteristic wavelength of raw spectroscopic data extracts: using successive projection algorithm from the original spectrum of each tobacco leaf sample
It is filtered out in information and contributes wax sense big characteristic wavelength, cross validation root-mean-square error RMSE when extracting 7 wavelength variables
It is minimum；The characteristic wavelength point filtered out is 1210nm, 1340nm, 1360nm, 1430nm, 1470nm, 1500nm and 1540nm, figure
2, Fig. 3 is that tobacco leaf wax sense characteristic wavelength extracts figure.
(4) 301 all tobacco leaf samples the foundation and verifying of tobacco leaf wax sense Quantitative Analysis Model: are randomly divided into training
Group and prediction group, wherein 241 tobacco leaf samples of training group are used for the foundation of model, and 60 tobacco leaf samples of prediction group are pre- for model
Survey the verifying of effect.Using the characteristic wavelength screened, the tobacco leaf wax sense established using multiple linear regression analysis method is quantitative
Analysis model are as follows: YWax sense=8.803+479.170 A1210 -1551.630 A1340+1123.735 A1360-150.416 A1430-
84.428 A1470-473.218 A1500+ 664.735A1540, wherein YWax senseRepresent wax inductance value, A1210、A1340、A1360、A1430、
A1470、A1500、A1540Respectively represent 1210nm, 1340nm, 1360nm, 1430nm, 1470nm, 1500nm, 1540nm wavelength points
Absorbance value.Using the validity of verifying collection tobacco leaf sample verifying model, to the tobacco leaf wax sense prediction effect of prediction group sample
See Fig. 4, the verifying coefficient of determination R of model2=0.9837, root-mean-square error RMSE=0.3905 is verified, it is relatively strong to show that model has
Predictive ability.
(5) acquisition and feature of near infrared spectrum the identification of tobacco leaf sample wax sense to be measured: are carried out to tobacco leaf sample to be measured
The absorbance value of characteristic wavelength point is substituted into tobacco leaf wax sense Quantitative Analysis Model by the extraction of wavelength, calculates wax inductance value；Root
Judge the type and its degree of the tobacco leaf sample wax sense to be measured according to the size of wax inductance value, wax when wax inductance value 6.5~10.0
Texture type be it is weak, during wax sense type is when wax inductance value 3.5~6.5, wax sense type is when wax inductance value 0.0~3.5
By force；Wax inductance value is smaller, and wax sense degree is higher.Fig. 4 is the tobacco leaf wax sense prediction effect figure of prediction group sample, as a result table
Bright, the authenticating value and true value (expert appraisal value) average relative error of the method for the present invention are 6.01%, improve wax sense feature
Objectivity, rapidity and the accuracy of identification.
Application example of the invention is as follows:
Application example 1
1 part of sample of Sanming, Fujian Province X2F grade cured tobacco leaf, the acquisition through near infrared spectrum, 1210nm, 1340nm, 1360nm,
The absorbance value of 1430nm, 1470nm, 1500nm, 1540nm wavelength points is respectively 0.27,0.27,0.27,0.34,0.36,
0.35,0.34, the Quantitative Analysis Model of tobacco leaf wax sense is substituted into, show that its wax sense predicted value is 7.5, tobacco leaf appearance expert
The score value identified is 7.8, relative error 2.90%.
Application example 2
1 part of sample of Yunnan mountain of papers C2F grade cured tobacco leaf, the acquisition through near infrared spectrum, 1210nm, 1340nm, 1360nm,
The absorbance value of 1430nm, 1470nm, 1500nm, 1540nm wavelength points is respectively 0.23,0.23,0.24,0.33,0.36,
0.35,0.33, the Quantitative Analysis Model of tobacco leaf wax sense is substituted into, show that its wax sense predicted value is 5.7, tobacco leaf appearance expert
The score value identified is 5.8, relative error 0.37%.
Application example 3
1 part of sample of Henan Xuchang B2F grade cured tobacco leaf, the acquisition through near infrared spectrum, 1210nm, 1340nm, 1360nm,
The absorbance value of 1430nm, 1470nm, 1500nm, 1540nm wavelength points is respectively 0.26,0.26,0.27,0.36,0.39,
0.37,0.36, the Quantitative Analysis Model of tobacco leaf wax sense is substituted into, show that its wax sense predicted value is 3.4, tobacco leaf appearance expert
The score value identified is 3.5, relative error 3.68%.
Claims (5)
1. a kind of method for identifying the sense of cured tobacco leaf wax using near infrared light spectrum information, it is characterised in that: this method step is such as
Under:
(1) selection of wax sense tobacco leaf sample: choose represent different sources, different brackets, different wax sense type degree it is roasting
Cigarette tobacco leaf sample；
(2) acquisition of near infrared spectrum: acquiring the near infrared spectrum of each tobacco leaf sample by near infrared spectrometer respectively, as
The raw spectroscopic data of each tobacco leaf sample；
(3) characteristic wavelength of raw spectroscopic data extracts: using successive projection algorithm from the raw spectroscopic data of each tobacco leaf sample
In filter out big characteristic wavelength contributed to tobacco leaf wax sense；
(4) foundation and verifying of tobacco leaf wax sense Quantitative Analysis Model: using the characteristic wavelength extracted, using multiple linear regression
Method establishes tobacco leaf wax sense Quantitative Analysis Model, and uses the validity of verifying collection tobacco leaf sample verifying model；
(5) acquisition and the characteristic wavelength of near infrared spectrum the identification of tobacco leaf sample wax sense to be measured: are carried out to tobacco leaf sample to be measured
Extraction the absorbance value of characteristic wavelength point is substituted into tobacco leaf wax sense Quantitative Analysis Model, calculate wax inductance value；According to wax
The size of texture value judges the type and its degree of the tobacco leaf sample wax sense to be measured, wax sense when wax inductance value 6.5~10.0
Type be it is weak, during wax sense type is when wax inductance value 3.5~6.5, wax sense type is strong when wax inductance value 0.0~3.5；Wax
Texture value is smaller, and wax sense degree is higher.
2. a kind of method for identifying the sense of cured tobacco leaf wax using near infrared light spectrum information as described in claim 1, feature
It is: the main working parameters of near infrared spectrometer in step (2) are as follows: spectral scanning range 950nm~1650nm, resolution ratio
2nm, sweep time 5 seconds, in scan position vertical range tobacco leaf leaf at 4cm.
3. a kind of method for identifying the sense of cured tobacco leaf wax using near infrared light spectrum information as described in claim 1, feature
Be: the extraction of tobacco leaf wax sense characteristic wavelength uses successive projection algorithm in step (3), and the characteristic wavelength point filtered out is
1210nm, 1340nm, 1360nm, 1430nm, 1470nm, 1500nm and 1540nm.
4. a kind of method for identifying the sense of cured tobacco leaf wax using near infrared light spectrum information as described in claim 1, feature
Be: the Quantitative Analysis Model of tobacco leaf wax sense is Y in step (4)Wax sense=8.803+479.170 A1210-1551.630 A1340+
1123.735 A1360-150.416 A1430-84.428 A1470-473.218 A1500+ 664.735A1540, wherein YWax senseRepresent wax
Texture value, A1210、A1340、A1360、A1430、A1470、A1500、A1540Respectively represent 1210nm, 1340nm, 1360nm, 1430nm,
The absorbance value of 1470nm, 1500nm, 1540nm wavelength points, and model is verified with stronger predictive ability.
5. a kind of method for identifying the sense of cured tobacco leaf wax using near infrared light spectrum information as described in claim 1, feature
Be: the selection quantity of cured tobacco leaf sample is not less than 200 in step (1).
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111562235A (en) * | 2020-05-18 | 2020-08-21 | 迟衡 | Method for rapidly identifying black-leaf outbreak disease and infection degree of tobacco leaves based on near infrared spectrum |
| CN117809070A (en) * | 2024-03-01 | 2024-04-02 | 唐山市食品药品综合检验检测中心(唐山市农产品质量安全检验检测中心、唐山市检验检测研究院) | Spectral data intelligent processing method for detecting pesticide residues in vegetables |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111562235A (en) * | 2020-05-18 | 2020-08-21 | 迟衡 | Method for rapidly identifying black-leaf outbreak disease and infection degree of tobacco leaves based on near infrared spectrum |
| CN117809070A (en) * | 2024-03-01 | 2024-04-02 | 唐山市食品药品综合检验检测中心(唐山市农产品质量安全检验检测中心、唐山市检验检测研究院) | Spectral data intelligent processing method for detecting pesticide residues in vegetables |
| CN117809070B (en) * | 2024-03-01 | 2024-05-14 | 唐山市食品药品综合检验检测中心(唐山市农产品质量安全检验检测中心、唐山市检验检测研究院) | Spectral data intelligent processing method for detecting pesticide residues in vegetables |
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