CN106124506A - A kind of method measuring blade anthocyanidin content - Google Patents
A kind of method measuring blade anthocyanidin content Download PDFInfo
- Publication number
- CN106124506A CN106124506A CN201610430577.5A CN201610430577A CN106124506A CN 106124506 A CN106124506 A CN 106124506A CN 201610430577 A CN201610430577 A CN 201610430577A CN 106124506 A CN106124506 A CN 106124506A
- Authority
- CN
- China
- Prior art keywords
- blade
- value
- anthocyanidin content
- anthocyanidin
- measured
- 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.)
- Granted
Links
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
- G01N21/84—Systems specially adapted for particular applications
-
- 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
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8466—Investigation of vegetal material, e.g. leaves, plants, fruits
Abstract
The invention provides a kind of method measuring blade anthocyanidin content, described method comprises the steps: 1) set up the relational model Y=f (X) of leaf image parameter and blade anthocyanidin content, wherein, Y represents blade anthocyanidin content, and X represents the blue valve of the selection area of blade and the ratio of green value;2) measure the X value of blade to be measured, calculated the anthocyanidin content of blade to be measured by Y=f (X).The method measuring blade anthocyanidin content that the present invention provides can measure blade anthocyanidin content easily and non-destructively.
Description
Technical field
The present invention relates to plant physiology, particularly relate to a kind of method measuring blade anthocyanidin content.
Background technology
Anthocyanidin is a kind of water colo(u)r, can change color along with the soda acid of Cell sap, and Cell sap is that acidity is the most inclined
Red, Cell sap is that alkalescence is the most blue.Anthocyanidin (Anthocyanin) is one of primary pigments constituting petal and fruit color,
It is common in the tissue of flower, fruit and the epidermis cell of stem and leaf and underlying epidermis layer.Anthocyanidin is Secondary Metabolite Production in Plants, is planting
Thing is physiologically played the part of the coloring of important role, petal and fruit and animal can be attracted to carry out pollinating and seed dispersal.
Anthocyanidin also has positive effect to health.Anthocyanidin is a kind of antioxidant, has removing body many
Cofree base and avoid cell to be injured by oxidative stress.Existing research also indicates that anthocyanidin has prophylaxis of cancer, resists and dash forward
Become, alleviate the effects such as hepatosis, anti-cardiovascular disease, enhancement vision, antiallergic.
The assay method measuring at present anthocyanidin content is mainly chemical analysis, mainly include ultraviolet spectrophotometry and
High performance liquid chromatography.Determined by ultraviolet spectrophotometry anthocyanidin is mainly by entering in acid condition after extracting Anthocyanin
Row chromogenic reaction, then calculates the content of anthocyanidin with spectrophotography, and the defect of this measuring method is: need destructiveness to adopt
Sample, and manual measurement not only workload is relatively big, and operate complexity, and there is randomness and uncertainty, subjectivity is strong, unanimously
Property is poor.High performance liquid chromatography can carry out qualitative and quantitative analysis to anthocyanidin monomer, and shortcoming is that chemical standard product are bought into
This height, equipment purchase cost is high, measure and need destructiveness sampling, analysis time length and operation complexity.
Summary of the invention
Because the drawbacks described above of prior art, the invention provides a kind of new side measuring blade anthocyanidin content
Method, will solve the technical problem that it is to realize more easily and non-destructively measure blade anthocyanidin content.
For solving the problems referred to above, the present invention adopts the technical scheme that: a kind of method measuring blade anthocyanidin content, institute
The method of stating comprises the steps:
1) setting up the relational model Y=f (X) of leaf image parameter and blade anthocyanidin content, wherein, Y represents blade flower
Blue or green cellulose content, X represents the blue valve of the selection area of blade and the ratio of green value;
2) measure the X value of blade to be measured, calculated the anthocyanidin content of blade to be measured by Y=f (X).
Preferably, described blade is Caulis et Folium Lactucae Sativae (Lactuca sativa L.) blade.
Preferably, leaf image parameter with the relational model of blade anthocyanidin content is: Y=aX+bX2+ c, by measuring
The Y value of different samples and X value calculate the numerical value of a, b, c.
Preferably, in step 1) in, the concrete steps of the X value measuring different sample include: selected foliar analysis region;With
RGB vision sensor gathers Caulis et Folium Lactucae Sativae blade RGB image and depth image, calculates blue valve and the ratio of green value of selection area
Value.
Preferably, the area in selected foliar analysis region is 2cm2。
Preferably, in step 1) in, the Y value of different sample is measured by anthocyanidin content analyzer.
Preferably, described anthocyanidin detector is Dualex 4 anthocyanidin content analyzer.
Preferably, in step 2) in, the concrete steps of the X value measuring blade to be measured include: choose whole strain blade, obtain
RGB image, calculates the blue valve of zones of different and the ratio of green value.
The invention have the benefit that the method that the present invention provides is a kind of Non-Destructive Testing mode, based on machine vision skill
Art, can characterize anthocyanidin content by color space parameter, convenient, fast, it is not necessary to loaded down with trivial details chemical analysis.
Below with reference to accompanying drawing, the technique effect of design, concrete structure and the generation of the present invention is described further, with
It is fully understood from the purpose of the present invention, feature and effect.
Accompanying drawing explanation
Fig. 1 is anthocyanidin content and the regression model of B/G in the specific embodiment of the invention.
Fig. 2 is anthocyanidin content and the regression model of G/ (R+G+B) in the specific embodiment of the invention.
Fig. 3 is anthocyanidin content and the regression model of H in the specific embodiment of the invention.
Detailed description of the invention
1, Chinese leaf picture obtains
Caulis et Folium Lactucae Sativae (Lactuca sativa L.cv.Lollo Rossca) seed is transferred to after cultivating a few days in culture dish
In flowerpot, cultivate in greenhouse after several weeks.Cultivation condition: nocturnal temperature 16 DEG C, day temperature 25 DEG C.
In greenhouse, cultivating and growing utilizes image acquisition phenotype platform (LemnaTec Scanalyzer HTS, moral after 62 days
State) gather the leaf image of 24 plant.In phenotype platform, top side camera gathers the blade figure under visible artificial lighting's light
Picture.
2, anthocyanidin content measures
Choosing area on blade is 2cm2Region, with Dualex 4 anthocyanidin measuring instrument (6mm diameter measurement after sampling
Surface, Dx4, FORCE-A, Orsay, France) measure anthocyanidin content.Measure altogether 59 samples randomly selected, wherein 40
Individual sample is used for setting up model, and 19 samples are for testing model.
3, the foundation of model
Data by six parameters of the characteristics of image of the selected areas of Matlab software collection blade: red (R), green (G),
Blue (B), tone (H), saturation (S), intensity (I), use the Pearson's correlation coefficient in SPSS statistic law to calculate correlation factor.
The relational model of anthocyanidin content and characteristics of image is set up by curve estimation method.According to correlation factor, non-standard system
The P value of the F inspection in number and the P value of T inspection, use quadratic equation Y=aX+bX2+ c explaination anthocyanidin content and characteristics of image
Relation, wherein Y represents that anthocyanidin content, x represent that image parameter combines.
The result of Pearson came correlation analysis is as shown in table 1 below.
Table 1 characteristics of image and the correlation analysis of blue or green cellulose content
Note:*With**Represent the significant difference of P < 0.05 and P < 0.01 respectively.
From the data of table 1 it can be seen that R/G, G/R, B/G, G/ (R+B), G/ (R+G+B), H, I/H, S/H, H/S, R/ (R+
G+B)-G/ (R+G+B), G/ (R+G+B)-B/ (R+G+B), (G-R)/(G+R), (G-B)/(G+B) are relevant to anthocyanidin content
Property relatively strong (| r | > 0.75), S/H is the strongest (r is 0.850) with the dependency of anthocyanidin content.
According to the data of table 1, select R/G, G/R, B/G, G/ (R+B), G/ (R+G+B), H, I/H, S/H, H/S, R/ (R+G+
B)-G/ (R+G+B), G/ (R+G+B)-B/ (R+G+B), (G-R)/(G+R), (G-B)/(G+B) foundation and anthocyanidin content relation
Model, and calculate a, b, c and R2.Result is as shown in table 2 below.
Table 2 image parameter and the regression equation of anthocyanidin content and the coefficient of determination
Note:*With**Represent the significant difference of P < 0.05 and P < 0.01 respectively.
From the data of table 2 it can be seen that B/G, G/ (R+G+B), the R of H2The highest, respectively 0.781,0.784,0.804.
4, the inspection of model
The image parameter of 19 samples and anthocyanidin content are for checking model established above.Result such as Fig. 1-Fig. 3 institute
Show.Wherein, solid line represents the confidence interval that regression model, dotted line represent 95%.As shown in Figure 1-Figure 3, B/G, G/ (R+G+B) and
The error rate of H is respectively 5.5% (Fig. 1), 10.5% (Fig. 2) and 10.5% (Fig. 3).Therefore, B/G combination is best suited for prediction life
Anthocyanin level in dish blade.
The preferred embodiment of the present invention described in detail above.Should be appreciated that those of ordinary skill in the art without
Need creative work just can make many modifications and variations according to the design of the present invention.Therefore, all technology in the art
Personnel are available by logical analysis, reasoning, or a limited experiment the most on the basis of existing technology
Technical scheme, all should be in the protection domain being defined in the patent claims.
Claims (8)
1. the method measuring blade anthocyanidin content, it is characterised in that described method comprises the steps:
1) setting up the relational model Y=f (X) of leaf image parameter and blade anthocyanidin content, wherein, Y represents blade anthocyanidin
Content, X represents the blue valve of the selection area of blade and the ratio of green value;
2) measure the X value of blade to be measured, calculated the anthocyanidin content of blade to be measured by Y=f (X).
2. the method for claim 1, it is characterised in that described blade is Caulis et Folium Lactucae Sativae (Lactuca sativa L.) blade.
3. the method for claim 1, it is characterised in that leaf image parameter and the relational model of blade anthocyanidin content
For: Y=aX+bX2+ c, calculates the numerical value of a, b, c by the Y value and X value measuring different sample.
4. the method for claim 1, it is characterised in that in step 1) in, measure the concrete steps of the X value of different sample
Including: selected foliar analysis region;Gather Caulis et Folium Lactucae Sativae blade RGB image and depth image with RGB vision sensor, calculate selected district
The blue valve in territory and the ratio of green value.
5. method as claimed in claim 4, it is characterised in that the area in selected foliar analysis region is 2cm2。
6. the method for claim 1, it is characterised in that in step 1) in, measured not by anthocyanidin content analyzer
Y value with sample.
7. method as claimed in claim 6, it is characterised in that described anthocyanidin detector is that Dualex 4 anthocyanidin content is surveyed
Determine instrument.
8. the method for claim 1, it is characterised in that in step 2) in, measure the concrete steps of the X value of blade to be measured
Including: choose whole strain blade, obtain RGB image, calculate the blue valve of zones of different and the ratio of green value.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610430577.5A CN106124506B (en) | 2016-06-16 | 2016-06-16 | A method of measurement blade anthocyanidin content |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610430577.5A CN106124506B (en) | 2016-06-16 | 2016-06-16 | A method of measurement blade anthocyanidin content |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106124506A true CN106124506A (en) | 2016-11-16 |
CN106124506B CN106124506B (en) | 2019-01-22 |
Family
ID=57470983
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610430577.5A Active CN106124506B (en) | 2016-06-16 | 2016-06-16 | A method of measurement blade anthocyanidin content |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106124506B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109738441A (en) * | 2019-01-07 | 2019-05-10 | 山东农业大学 | A kind of plant phenotype three-dimensionalreconstruction information acquisition device and its control method |
CN111122579A (en) * | 2020-01-17 | 2020-05-08 | 中国农业科学院都市农业研究所 | Method for measuring total content of flavone in lettuce leaves |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050142579A1 (en) * | 2003-12-24 | 2005-06-30 | Yokogawa Electric Corporation | Correction method for the distribution of quantity of light and biochip-reader |
JP2005308504A (en) * | 2004-04-21 | 2005-11-04 | Yokogawa Electric Corp | Biochip measuring method and biochip reading device |
CN102645416A (en) * | 2012-03-27 | 2012-08-22 | 北京林业大学 | Method for rapidly determining anthocyanin content in blueberries |
CN105241822A (en) * | 2015-08-28 | 2016-01-13 | 河南科技大学 | Measurement method of content of anthocyanin in leaves of peony on the basis of hyperspectrum |
-
2016
- 2016-06-16 CN CN201610430577.5A patent/CN106124506B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050142579A1 (en) * | 2003-12-24 | 2005-06-30 | Yokogawa Electric Corporation | Correction method for the distribution of quantity of light and biochip-reader |
JP2005308504A (en) * | 2004-04-21 | 2005-11-04 | Yokogawa Electric Corp | Biochip measuring method and biochip reading device |
CN102645416A (en) * | 2012-03-27 | 2012-08-22 | 北京林业大学 | Method for rapidly determining anthocyanin content in blueberries |
CN105241822A (en) * | 2015-08-28 | 2016-01-13 | 河南科技大学 | Measurement method of content of anthocyanin in leaves of peony on the basis of hyperspectrum |
Non-Patent Citations (1)
Title |
---|
王克如 等: "用机器视觉技术获取棉花叶片叶绿素浓度", 《作物学报》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109738441A (en) * | 2019-01-07 | 2019-05-10 | 山东农业大学 | A kind of plant phenotype three-dimensionalreconstruction information acquisition device and its control method |
CN109738441B (en) * | 2019-01-07 | 2023-11-03 | 山东农业大学 | Plant phenotype three-dimensional reconstruction information acquisition device and control method thereof |
CN111122579A (en) * | 2020-01-17 | 2020-05-08 | 中国农业科学院都市农业研究所 | Method for measuring total content of flavone in lettuce leaves |
Also Published As
Publication number | Publication date |
---|---|
CN106124506B (en) | 2019-01-22 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Smith et al. | Use of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks | |
Zhao et al. | Corn (Zea mays L.) growth, leaf pigment concentration, photosynthesis and leaf hyperspectral reflectance properties as affected by nitrogen supply | |
Chen | Optically-based methods for measuring seasonal variation of leaf area index in boreal conifer stands | |
Marino et al. | Assessing gas exchange, sap flow and water relations using tree canopy spectral reflectance indices in irrigated and rainfed Olea europaea L. | |
Rautiainen et al. | Seasonal reflectance dynamics of common understory types in a northern European boreal forest | |
Campillo et al. | Solar radiation effect on crop production | |
Loh et al. | Using the SPAD 502 meter to assess chlorophyll and nitrogen content of benjamin fig and cottonwood leaves | |
CN104408307B (en) | The quick monitoring method of wheat powdery mildew occurring degree and its construction method of monitoring model | |
Feng et al. | Assessment of plant nitrogen status using chlorophyll fluorescence parameters of the upper leaves in winter wheat | |
Lancelot et al. | Near-infrared hyperspectral imaging for following imbibition of single wheat kernel sections | |
Jorquera-Fontena et al. | A simple allometric model for estimating blueberry fruit weight from diameter measurements | |
CN109164212A (en) | A kind of measuring method using excised leaf identification Chinese rose germplasm heat resistance | |
CN106124506A (en) | A kind of method measuring blade anthocyanidin content | |
Tung et al. | Evaluation of water potentials of leafy vegetables using hyperspectral imaging | |
Petrozza et al. | Evaluation of the effect of Radifarm®® treatment on the morpho-physiological characteristics of root systems via image analysis | |
Wu et al. | Diagnosis of freezing stress in wheat seedlings using hyperspectral imaging | |
CN117063789A (en) | Celery germplasm resource drought tolerance evaluation method | |
JP3947819B2 (en) | Plant individual selection method using optical technique | |
Pérez-López et al. | Influence of different cultivars–locations on maximum daily shrinkage indicators: Limits to the reference baseline approach | |
CN103125371B (en) | Method for carrying out field rapid assistant screening on crop drought-resisting mutants | |
Kautz et al. | Controlled long-term water deficiency and its impact on the fluorescence emission of tomato leaves during stress and re-watering | |
Abdelkader et al. | Applying a digital method for measuring leaf area index of tomato plants | |
Coffelt et al. | A set of descriptors for evaluating guayule germplasm | |
CN108693136A (en) | A kind of method of quick detection pollen activity | |
CN116008196B (en) | Method for rapidly and minimally invasively detecting activity of young garlic fruits |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |