CN106124450A - The assay method of awns platymiscium dry matter weight of leaf - Google Patents
The assay method of awns platymiscium dry matter weight of leaf Download PDFInfo
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- CN106124450A CN106124450A CN201610430040.9A CN201610430040A CN106124450A CN 106124450 A CN106124450 A CN 106124450A CN 201610430040 A CN201610430040 A CN 201610430040A CN 106124450 A CN106124450 A CN 106124450A
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- dry matter
- blade
- awns platymiscium
- awns
- leaf
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- 241001529246 Platymiscium Species 0.000 title claims abstract description 38
- 238000003556 assay Methods 0.000 title claims abstract description 9
- 238000001228 spectrum Methods 0.000 claims abstract description 13
- 238000002329 infrared spectrum Methods 0.000 claims abstract description 8
- 238000006467 substitution reaction Methods 0.000 claims abstract description 5
- 238000001514 detection method Methods 0.000 abstract description 2
- 230000003595 spectral effect Effects 0.000 description 47
- 238000000034 method Methods 0.000 description 20
- 241000196324 Embryophyta Species 0.000 description 6
- 241000878007 Miscanthus Species 0.000 description 6
- 238000004611 spectroscopical analysis Methods 0.000 description 4
- 241001074119 Miscanthus sacchariflorus Species 0.000 description 3
- 230000000052 comparative effect Effects 0.000 description 3
- 238000001035 drying Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 238000009499 grossing Methods 0.000 description 2
- 238000012417 linear regression Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000029553 photosynthesis Effects 0.000 description 2
- 238000010672 photosynthesis Methods 0.000 description 2
- 239000002028 Biomass Substances 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 150000001720 carbohydrates Chemical class 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 238000000643 oven drying Methods 0.000 description 1
- 238000010238 partial least squares regression Methods 0.000 description 1
- 230000037039 plant physiology Effects 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 238000000985 reflectance spectrum Methods 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000010408 sweeping Methods 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
Classifications
-
- 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
Abstract
The invention discloses the assay method of a kind of awns platymiscium dry matter weight of leaf, comprise the following steps successively: 1), gather awns platymiscium blade to be measured；2), by awns platymiscium blade in the near infrared spectrum wave band interscan of 400nm 2500nm, thus the reflection light spectrum of following 23 characteristic wave strong points is obtained；3), by above-mentioned steps 2) the data obtained substitution dry matter content computing formula, thus obtain the dry matter content of awns platymiscium blade to be measured.Use the present invention with lossless quick detection awns platymiscium dry matter weight of leaf content, thus finding speed can be accelerated, reduce cost of determination.
Description
Technical field
The present invention relates to the assay method of a kind of awns platymiscium dry matter weight of leaf.
Background technology
Awns platymiscium has been classified as whole world important biomolecule matter energy crop, and its blade is main photosynthesis organ, blade
Mainly include carbohydrate, protein, lipoid and multi mineral prime element, dry-matter accumulation is Miscanthus net photosynthesis
Important symbol, directly affect the Biomass of Miscanthus.The assay method of blade dry matter mainly obtains the Fresh Yuxincao of crop,
Dry mass is measured again after drying.This method is the most time-consuming, laborious, poor real, and crop is had destructiveness, real producing
It is difficult to large area in trampling popularize.In recent years, near-infrared spectrum technique is the most suitable in the mensuration research of the aspect such as plant physiology, ecology
Extensively.This research is with plant near infrared spectrum as means, by all band and the sensitivity of screening awns platymiscium blade reflectance spectrum
Wave band, analyzes the quantitative relationship of dry matter and blade near-infrared spectral reflectance feature, sets up awns platymiscium blade and dry matter
Mathematical forecasting model.
Summary of the invention
The technical problem to be solved in the present invention is to provide the assay method of a kind of awns platymiscium dry matter weight of leaf, uses this
Bright can with lossless quick detection awns platymiscium dry matter weight of leaf content, thus accelerate finding speed, reduce cost of determination.
In order to solve above-mentioned technical problem, the present invention provides the assay method of a kind of awns platymiscium dry matter weight of leaf, successively
Comprise the following steps:
1), awns platymiscium blade to be measured is gathered；
2), by awns platymiscium blade in the near infrared spectrum wave band interscan of 400nm-2500nm, thus following 23 are obtained
The reflection light spectrum of individual characteristic wave strong point: 486nm, 554nm, 624nm, 676nm, 694nm, 714nm, 772nm, 912nm,
958nm、1098nm、1322nm、1392nm、1432nm、1520nm、1642nm、1870nm、1900nm、2038nm、2122nm、
2214nm, 2274nm, 2316nm and 2404nm；
3), by above-mentioned steps 2) the data obtained following dry matter content computing formula of substitution, thus obtain awns to be measured and belong to
The dry matter content of plant leaf blade；
YDry matter=47.319473-4.052 λ486-709λ554+6.251λ624-14.251λ676+9.659λ694-14.988λ714
+36.145λ772+28.185λ912-18.528λ958-2.62λ1098-62.589λ1322-38.958λ1392+33.745λ1432-
28.239λ1520-38.184λ1642-45.284λ1870-24.767λ1900-48.384λ2038+40.576λ2122+1.028λ2214+
76.801λ2274+72.944λ2316-14.557λ2404。
Wherein YDry matterFor the prediction blade dry matter content of awns platymiscium to be measured, λ486For this sample spectrum at 486nm
Reflection light numerical value, λ554For this sample spectral reflectance light numerical value at 554nm, λ624Anti-for this sample spectrum at 624nm
Penetrate light numerical value, λ676For this sample spectral reflectance light numerical value at 676nm, λ694For this sample spectral reflectance at 694nm
Light numerical value, λ714For this sample spectral reflectance light numerical value at 714nm, λ772For this sample spectral reflectance light at 772nm
Numerical value, λ912For this sample spectral reflectance light numerical value at 912nm, λ958For this sample spectral reflectance light number at 958nm
Value, λ1098For this sample spectral reflectance light numerical value at 1098nm, λ1322For this sample spectral reflectance light number at 1322nm
Value, λ1392For this sample spectral reflectance light numerical value at 1392nm, λ1432For this sample spectral reflectance light number at 1432nm
Value, λ1520For this sample spectral reflectance light numerical value at 1520nm, λ1642For this sample spectral reflectance light number at 1642nm
Value, λ1870For this sample spectral reflectance light numerical value at 1870nm, λ1900For this sample spectral reflectance light number at 1900nm
Value, λ2038For this sample spectral reflectance light numerical value at 2038nm, λ2122For this sample spectral reflectance light number at 2122nm
Value, λ2214For this sample spectral reflectance light numerical value at 2214nm, λ2274For this sample spectral reflectance light number at 2274nm
Value, λ2316For this sample spectral reflectance light numerical value at 2316nm, λ2404For this sample spectral reflectance light number at 2404nm
Value.
The invention process of the present invention is specific as follows:
(1) at 678 parts of awns platymiscium samples of near infrared spectrum wave band interscan that spectral region is 400nm-2500nm, bag
187 parts of Miscanthus, 189 portions of Miscanthus sacchariflorus (Maxim) Benth et Hook fs, 180 parts of southern Miscanthus sacchariflorus (Maxim) Benth et Hook fs, 120 parts of Caulis Miscanthis floridulis and 2 parts of huge awns are included.Material is shown in Table 1.
The dry matter scope of 1 five awns platymisciums of table
| Kind | Number | Scope (%) | Meansigma methods (%) | Root-mean-square |
| Miscanthus | 187 | 14.46-34.22 | 23.65 | 0.0211 |
| Miscanthus sacchariflorus (Maxim) Benth et Hook f | 189 | 4.39-27.06 | 21.30 | 0.0235 |
| Nan Di | 180 | 19.56-38.98 | 29.09 | 0.0351 |
| Caulis Miscanthis floriduli | 120 | 13.72-33.42 | 23.20 | 0.0211 |
| Huge awns | 2 | 20.88-23.78 | 22.33 | 0.0205 |
(2) utilizing drying constant weight method to obtain the dry matter content of 678 parts of awns platymiscium samples, concrete dry matter content is shown in Table
1。
(3) in order to eliminate the interference factors such as original spectral data medium-high frequency random noise, baseline drift to institute's established model
Impact, research have employed the multiple preprocess method such as Smoothing, Normalize.Various pretreated spectroscopic datas are made
For independent variable X, Miscanthus blade dry matter content, as Y variable, sets up PLS (partial least
Squares regression, PLS) various preprocess methods are entered by model by comparing the prediction effect of each model
Row is evaluated, and finally determines the preprocess method of the rolling average smoothing techniques that step-length is 3 and sets up corresponding model.
(4) ratio with 1:1 in 678 parts of samples is randomly divided into modeling collection and forecast set, wherein 339 parts of Miscanthus samples
Being used for setting up model, 339 parts of samples are verified for model prediction, are wherein used for setting up the awns of model and belong to material dry matter frequency and show
Showing, it is interval interior that main dry matter content is distributed in 20% to 25%.
(5) obtain the spectrum diffuse-reflectance value of sample, and obtain with awns that to belong to material blade dry matter content closely-related
Characteristic wave.
(6) with the sample spectrum that diffuses based on 23 characteristic wavelengths as independent variable, the dry of the sample to measure
Content is dependent variable, uses PLS (partial least square method) to fit spectroscopic data and dry matter content measured value, establishes based on 23
The multiple linear regression model of individual characteristic wavelength, relative coefficient between the two reaches 0.9812, and the coefficient of determination reaches
0.9628。
(7) corresponding dry matter content model is established.Concrete formula is as follows:
YDry matter=47.319473-4.052 λ486-709λ554+6.251λ624-14.251λ676+9.659λ694-14.988λ714
+36.145λ772+28.185λ912-18.528λ958-2.62λ1098-62.589λ1322-38.958λ1392+33.745λ1432-
28.239λ1520-38.184λ1642-45.284λ1870-24.767λ1900-48.384λ2038+40.576λ2122+1.028λ2214+
76.801λ2274+72.944λ2316-14.557λ2404。
Wherein YDry matterFor the prediction blade dry matter content of awns platymiscium to be measured, λ486For this sample spectrum at 486nm
Reflection light numerical value, λ486For this sample spectral reflectance light numerical value at 486nm, λ554Anti-for this sample spectrum at 554nm
Penetrate light numerical value, λ624For this sample spectral reflectance light numerical value at 624nm, λ676For this sample spectral reflectance at 676nm
Light numerical value, λ694For this sample spectral reflectance light numerical value at 694nm, λ714For this sample spectral reflectance light at 714nm
Numerical value, λ772For this sample spectral reflectance light numerical value at 772nm, λ912For this sample spectral reflectance light number at 912nm
Value, λ958For this sample spectral reflectance light numerical value at 958nm, λ1098For this sample spectral reflectance light number at 1098nm
Value, λ1322For this sample spectral reflectance light numerical value at 1322nm, λ1392For this sample spectral reflectance light number at 1392nm
Value, λ1432For this sample spectral reflectance light numerical value at 1432nm, λ1520For this sample spectral reflectance light number at 1520nm
Value, λ1642For this sample spectral reflectance light numerical value at 1642nm, λ1870For this sample spectral reflectance light number at 1870nm
Value, λ1900For this sample spectral reflectance light numerical value at 1900nm, λ2038For this sample spectral reflectance light number at 2038nm
Value, λ2122For this sample spectral reflectance light numerical value at 2122nm, λ2214For this sample spectral reflectance light number at 2214nm
Value, λ2274For this sample spectral reflectance light numerical value at 2274nm, λ2316For this sample spectral reflectance light number at 2316nm
Value, λ2404For this sample spectral reflectance light numerical value at 2404nm.
(8) scanning awns platymiscium blade is at the reflection light spectrum of 23 characteristic wave strong points, concrete wavelength includes 486,
554、624、676、694、714、772、912、958、1098、1322、1392、1432、1520、1642、1870、1900、2038、
2122,2214,2274,2316nm and 2404nm.
The present invention with existing about compared with the characteristic peak of plant leaf blade dry matter content, remove a few characteristic peak with
Known plant dry matter characteristic peak relatively, in the characteristic peak of Folium Camelliae sinensis dry matter weight of leaf, such as have 461,676,695,
710, the characteristic peak of 755 and 972nm, the characteristic peak at awns platymiscium blade has 486,676,694,714,772 and 958nm, its
His characteristic peak is new characteristic peak, and sensitive peak is more, thus it is speculated that constitute awns platymiscium blade dry matter
Composition is more complicated.
(9) 339 parts of sample awns platymiscium blade samples, at the substitution formula of the reflection light spectrum of 23 characteristic wave strong points, are counted
Calculation obtains blade dry matter content.The actual value of forecast set and the relative coefficient of predictive value are 0.9812, and the coefficient of determination is
0.9628, show that result is the most reliable.
The present invention has a following technical advantage:
(1) the method step is simple, can directly take the fresh leaf of awns platymiscium and be scanned, by fitting multiple linear regression
Model, directly obtains dry matter weight of leaf content；
(2) the method quick nondestructive, it is not necessary to dry through time-consuming long weighing and repeatedly weigh step, and not destroying plant
Initial condition；
(3) the method scanning blade area is little, can be used to quickly measure the dry matter content of awns platymiscium different parts
Difference, compare oven drying method, more precisely.
(4) the method have chosen the near infrared spectrum of 23 characteristic peaks closely-related with awns platymiscium dry matter weight of leaf
Value, it is not necessary to full spectral scan, manufactures awns platymiscium dry matter weight of leaf special measurement instrument principle simpler, and the surface sweeping time is more
Short.
Accompanying drawing explanation
Below in conjunction with the accompanying drawings the detailed description of the invention of the present invention is described in further detail.
Fig. 1 is awns platymiscium dry matter weight of leaf content distribution frequency figure；X-axis is dry matter weight of leaf content, and Y-axis is frequency.
Fig. 2 is dry matter actual value and the predictive value scatter diagram of forecast set sample；X-axis represents the practical measurement of sample
Dry matter content, Y-axis represents the sample dry matter content obtained with 23 characteristic light spectrum predictions.
Detailed description of the invention
Below in conjunction with specific embodiment, the present invention is described further, but protection scope of the present invention is not limited in
This:
Embodiment 1, the assay method of a kind of awns platymiscium dry matter weight of leaf, follow the steps below successively:
1), awns platymiscium blade to be measured is gathered；
2), by awns platymiscium blade in the near infrared spectrum wave band interscan of 400nm-2500nm, thus following 23 are obtained
The reflection light spectrum of individual characteristic wave strong point: 486nm, 554nm, 624nm, 676nm, 694nm, 714nm, 772nm, 912nm,
958nm、1098nm、1322nm、1392nm、1432nm、1520nm、1642nm、1870nm、1900nm、2038nm、2122nm、
2214nm, 2274nm, 2316nm and 2404nm；
3), by above-mentioned steps 2) the data obtained following dry matter content computing formula of substitution, thus obtain awns to be measured and belong to
The dry matter content of plant leaf blade；
YDry matter=47.319473-4.052 λ486-709λ554+6.251λ624-14.251λ676+9.659λ694-14.988λ714
+36.145λ772+28.185λ912-18.528λ958-2.62λ1098-62.589λ1322-38.958λ1392+33.745λ1432-
28.239λ1520-38.184λ1642-45.284λ1870-24.767λ1900-48.384λ2038+40.576λ2122+1.028λ2214+
76.801λ2274+72.944λ2316-14.557λ2404。
Testing 1, detected according to method described in above-described embodiment 1 by following sample, acquired results is as shown in table 2 below.
Above-mentioned sample is detected according to conventional " drying constant weight method ", gained and result of the present invention to such as table 2
Described.
Remarks illustrate: every kind of sample takes 3 repetitions, averages.
The awns platymiscium dry matter content contrast that table 2, distinct methods record
Comparative example 1, " 1870m " of 23 characteristic wavelengths of embodiment 1 is made into " 1700nm ", still (partially minimum with PLS
Square law) fit spectroscopic data and dry measured value, thus obtain corresponding dry computing formula.With this comparative example 1 institute
Sample described in table 2 is detected by method of stating.Described in testing result as above table 2.
Comparative example 2, " 554nm " of 23 characteristic wavelengths of embodiment 1 is made into " 538nm ", still (partially minimum with PLS
Square law) fit spectroscopic data and dry matter content measured value, thus obtain corresponding dry matter content computing formula.Right with this
Described in ratio 2, the sample described in table 2 is detected by method.Described in testing result as above table 1.
Finally, in addition it is also necessary to be only several specific embodiments of the present invention it is noted that listed above.Obviously, this
Bright it is not limited to above example, it is also possible to have many deformation.Those of ordinary skill in the art can be from present disclosure
The all deformation directly derived or associate, are all considered as protection scope of the present invention.
Claims (1)
1. the assay method of awns platymiscium dry matter weight of leaf, is characterized in that comprising the following steps successively:
1), awns platymiscium blade to be measured is gathered；
2), by awns platymiscium blade in the near infrared spectrum wave band interscan of 400nm-2500nm, thus following 23 spies are obtained
Levy the reflection light spectrum at wavelength: 486nm, 554nm, 624nm, 676nm, 694nm, 714nm, 772nm, 912nm, 958nm,
1098nm、1322nm、1392nm、1432nm、1520nm、1642nm、1870nm、1900nm、2038nm、2122nm、2214nm、
2274nm, 2316nm and 2404nm；
3), by above-mentioned steps 2) the data obtained following dry matter content computing formula of substitution, thus obtain awns platymiscium to be measured
The dry matter content of blade；
YDry matter=47.319473-4.052 λ486-709λ554+6.251λ624-14.251λ676+9.659λ694-14.988λ714+
36.145λ772+28.185λ912-18.528λ958-2.62λ1098-62.589λ1322-38.958λ1392+33.745λ1432-28.239
λ1520-38.184λ1642-45.284λ1870-24.767λ1900-48.384λ2038+40.576λ2122+1.028λ2214+76.801λ2274
+72.944λ2316-14.557λ2404。
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