CN111007061A - Pesticide residue detection method and system - Google Patents
Pesticide residue detection method and system Download PDFInfo
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- CN111007061A CN111007061A CN201911347838.7A CN201911347838A CN111007061A CN 111007061 A CN111007061 A CN 111007061A CN 201911347838 A CN201911347838 A CN 201911347838A CN 111007061 A CN111007061 A CN 111007061A
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Abstract
The application provides a pesticide residue detection method and a system, and the method comprises the following steps: extracting a sample solution to be detected; detecting a sample solution to be detected by using a pesticide residue detection device, and collecting a standard color development image and a pesticide residue color development image of the pesticide residue detection device; the standard developed image is a developed image of a sample solution without pesticide residues, and the pesticide residue developed image is a developed image of a sample solution to be detected; calculating the pesticide residue rate according to the standard color development image and the pesticide residue color development image; and inputting the pesticide residue rate into a pre-constructed pesticide residue rate and pesticide residue concentration relation model to obtain the pesticide residue concentration. The pesticide residue degree detection device has the characteristics of high detection speed, suitability for field detection, high detection accuracy, simplicity in operation, convenience in carrying, low input cost and the like.
Description
Technical Field
The application relates to the technical field of pesticide residue detection, in particular to a pesticide residue detection method and system.
Background
At present, environmental pollution caused by using a large amount of pesticides and toxicity caused by pesticide residues in the mouth have attracted high attention in many countries. In order to protect the ecological environment and guarantee the health of human beings, the limit of various pesticide residues in the environment and food is strictly regulated in many countries. The technology and method for analyzing pesticide residues are also highly regarded.
The traditional pesticide residue detection method comprises the following steps: the method is characterized in that a vinyl cholinesterase spectrophotometry method is used, the time from sampling, sample processing to analysis to obtain a result is from hours to two days, the field test and detection are not facilitated, a living body detection method is used, the pesticide residue concentration is judged by observing the death rate through the sensitive reaction of living organisms to pesticide residues, the detection accuracy is low, and the application range of pesticides is narrow; the immunoassay is an ultramicro analysis method combining antibody antigen reaction with modern testing means, the development process of the immunoassay needs to invest more funds, takes longer time, has larger difficulty in preparing the antibody, and the antibody has specificity and is only suitable for detecting and analyzing the concentration of single pesticide residue.
Disclosure of Invention
The method has the characteristics of high detection speed, suitability for field detection, high detection accuracy, simplicity in operation, convenience in carrying, low input cost and the like.
In order to achieve the above object, the present application provides a method for detecting pesticide residue, comprising:
extracting a sample solution to be detected;
detecting a sample solution to be detected by using a pesticide residue detection device, and collecting a standard color development image and a pesticide residue color development image of the pesticide residue detection device;
the standard developed image is a developed image of a sample solution without pesticide residues, and the pesticide residue developed image is a developed image of a sample solution to be detected;
calculating the pesticide residue rate according to the standard color development image and the pesticide residue color development image;
and inputting the pesticide residue rate into a pre-constructed pesticide residue rate and pesticide residue concentration relation model to obtain the pesticide residue concentration.
The method for extracting the sample solution to be detected comprises the following steps:
dissolving a sample to be detected in an extraction solvent;
filtering out impurities in the dissolved solution;
and concentrating the solution with the impurities filtered out to obtain a sample solution to be detected.
As above, wherein the formula for calculating the pesticide residue ratio is:
wherein η represents the residual ratio of the pesticide, P1A color shade value representing a standard developed image; p2The color depth value of the pesticide residue color development image is shown.
As above, wherein the calculation formula of the color shade value of the standard developed image is:
wherein, P1A color shade value representing a standard developed image; riExpressing a red characteristic value of the ith pixel point of the standard color development image; giExpressing the green characteristic value of the ith pixel point of the standard color development image; b isiExpressing a blue characteristic value of the ith pixel point of the standard color development image; n represents the total number of pixel points of the standard color development image.
As above, the formula for calculating the color shade value of the pesticide residue color development image is as follows:
wherein, P2Representing the color depth value of the pesticide residue color development image; rjExpressing a red characteristic value of a jth pixel point of the pesticide residue color development image; gjExpressing the green characteristic value of the jth pixel point of the pesticide residue color development image; b isjExpressing a blue characteristic value of a jth pixel point of the pesticide residue color development image; and m represents the total number of pixel points of the pesticide residue color development image.
As above, the method of constructing a relationship model between the pesticide residue rate and the pesticide residue concentration in advance comprises the following steps:
preparing a plurality of groups of sample solutions with pesticide residue concentration;
dripping a plurality of groups of sample solutions with known pesticide residue concentrations on a pesticide residue detection device;
acquiring a standard color development image and a pesticide residue color development image of a pesticide residue detection device;
calculating pesticide residue rates corresponding to sample solutions with different pesticide residue concentrations according to the standard color development image and the pesticide residue color development image;
and constructing a relation model of the pesticide residue rate and the pesticide residue concentration according to the known pesticide residue concentrations of the multiple groups of sample solutions and the pesticide residue rate corresponding to each group of sample solutions.
As above, wherein the pesticide residue detection method further comprises: inputting the concentration of the pesticide residue into a pre-constructed pesticide hazard degree model, outputting the hazard grade of the sample to be detected, and sending an alarm signal when the output hazard grade exceeds a preset standard.
As above, wherein the method for detecting pesticide residue further comprises:
in the pesticide residue detection process, monitoring the environmental temperature and the illumination intensity of a sample to be detected in real time;
and judging whether the ambient temperature and the illumination intensity are within a preset standard range, if so, continuing to monitor, and otherwise, adjusting the ambient temperature and/or the illumination intensity to reach the preset standard range.
The application also provides a pesticide residue detecting system, includes:
the extraction unit is used for extracting a sample solution to be detected;
the pesticide residue detection device is used for detecting the sample solution to be detected;
the first image acquisition device is used for acquiring a standard color development image of the pesticide residue detection device;
the second image acquisition device is used for acquiring a pesticide residue color development image of the pesticide residue detection device;
the standard developed image is a developed image of a sample solution without pesticide residues, and the pesticide residue developed image is a developed image of a sample solution to be detected;
the data processing module is used for calculating the pesticide residue rate according to the standard color development image and the pesticide residue color development image;
and the acquisition module is used for inputting the pesticide residue rate into a pre-constructed pesticide residue rate and pesticide residue concentration relation model to obtain the pesticide residue concentration.
The above, wherein the pesticide residue detecting device comprises a first detecting section and a second detecting section separated by an insulating plate,
a first detection area for detecting a sample solution without pesticide residue;
and the second detection area is used for detecting the sample solution to be detected.
The beneficial effect that this application realized is as follows:
(1) this application adopts pesticide residue detection device to detect pesticide residue degree, and it detects fastly, convenient to use, small, portable and removal, is applicable to the witnessed inspections.
(2) According to the method, the pesticide residue rate is calculated according to the standard color rendering image and the pesticide residue color rendering image, and the pesticide residue rate is input into the pre-constructed pesticide residue rate and pesticide residue concentration relation model, so that the pesticide residue concentration obtaining method improves the detection accuracy of pesticide residue, shortens the time for obtaining the pesticide residue concentration, and improves the detection efficiency.
(3) This application is at the in-process that the pesticide detected, and the ambient temperature and the illumination intensity of real-time supervision testing environment control ambient temperature and illumination intensity at reasonable threshold value within range, prevent that ambient temperature and illumination intensity from causing the influence to the testing result, improve the degree of accuracy of pesticide residue concentration testing result.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a flowchart of a pesticide residue detection method according to the present application.
FIG. 2 is a flow chart of the present application in terms of pesticide residue rate.
Fig. 3 is a schematic structural diagram of a pesticide residue detection system according to the present application.
Reference numerals: 10-an extraction unit; 20-a pesticide residue detection device; 21-a cleaning device; 22-an environmental parameter sensor; 23-a judgment module; 24-an adjustment device; 30-a first image acquisition device; 31-a second image acquisition device; 40-a data processing module; 50-a model building module; 60-an acquisition module; 70-a display; 80-a power module; 100-pesticide residue detection system.
Detailed Description
The technical solutions in the embodiments of the present application are clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Example one
As shown in fig. 1, the present application provides a pesticide residue detection method, which includes the steps of:
and step S1, extracting the sample solution to be detected.
According to one embodiment of the present invention, the method for extracting the sample solution to be tested is as follows:
and step S110, performing fine crushing treatment on the sample to be detected.
And step S120, putting the sample to be detected into an extraction solvent for dissolving, wherein the extraction solvent can be a mixed solvent of acetone and methanol, and the mass fraction of the acetone and the mass fraction of the methanol are the same. The extraction solvent, acetone solvent can dissolve most pesticides, and methanol solvent has high extraction efficiency.
And step S130, filtering out impurities in the dissolved solution.
According to one embodiment of the invention, the dissolved solution is fed into a filtration and extraction tube; the extraction tube comprises a filter layer which is used for filtering out impurities in the solution.
And step S140, extracting the clear liquid with the impurities filtered out.
And step S150, concentrating the clear liquid to obtain a sample solution to be detected.
And step S2, detecting the sample solution to be detected by using the pesticide residue detection device, and collecting a standard color image and a pesticide residue color image of the pesticide residue detection device.
According to an embodiment of the present invention, step S2 includes the following sub-steps:
step S210, dropwise adding the known pesticide-free sample solution to be detected to the first detection area, and dropwise adding the sample solution to be detected to the second detection area.
Step S220, removing the interference factors of the brightness of the image acquisition environment;
placing the first detection area and the second detection area in a dark box in advance;
and after the solution to be detected is added dropwise, turning on a white light source in a dark box.
And step S230, collecting a standard color development image of the first detection area, and collecting a pesticide residue color development image of the second detection area.
Specifically, after the colors of the standard color image and the pesticide residue color image are not changed any more, the standard color image of the first detection area is collected, and the pesticide residue color image of the second detection area is collected.
Wherein, the first detection area and the second detection area are respectively pre-formed with a sensor, and the sensor comprises acetylcholinesterase (AChE), a color indicator (2, 6-dichloroindophenol), a substrate (acetylcholine, thioacetylcholine iodide) and a phosphate buffer solution with pH of 7.5.
The color development principle of the first detection area and the second detection area is as follows: the acetylcholinesterase can catalyze the hydrolysis of acetylcholine, and the reaction of the hydrolysate with the color indicator can generate a color reaction. The residue of the pesticide has an inhibitory effect on the activity of acetylcholinesterase, and when the pesticide inhibits the activity of acetylcholinesterase, the amount of hydrolyzed acetylcholine as a substrate is reduced, the hydrolysis product is reduced, and the color development reaction becomes light.
And step S3, calculating the pesticide residue rate according to the standard color development image and the pesticide residue color development image.
As shown in fig. 2, step S3 includes the following sub-steps:
step S310, obtaining R, G, B values of each pixel point of the standard color development image and the pesticide residue color development image;
in step S320, the color shade value of the standard color image is calculated.
And calculating the color lightness value of the standard color development image according to the R, G, B value of each pixel point of the standard color development image.
The calculation formula of the color shade value of the standard color development image is as follows:
wherein, P1A color shade value representing a standard developed image; riExpressing a red characteristic value of the ith pixel point of the standard color development image; giExpressing the green characteristic value of the ith pixel point of the standard color development image; b isiExpressing a blue characteristic value of the ith pixel point of the standard color development image; n represents the total number of pixel points of the standard color development image.
Wherein, the larger the P value is, the lighter the color is, the poorer the activity of the acetylcholinesterase is, and the larger the concentration of the pesticide is; the lower the P value, the darker the colour, the stronger the acetylcholinesterase activity and the lower the concentration of the pesticide.
And step S330, calculating the color depth value of the pesticide residue color development image.
And calculating the color depth value of the pesticide residue color development image according to the R, G, B value of each pixel point of the pesticide residue color development image.
The formula for calculating the color depth value of the pesticide residue color development image is as follows:
wherein, P2Representing the color depth value of the pesticide residue color development image; rjExpressing a red characteristic value of a jth pixel point of the pesticide residue color development image; gjDisplay for indicating pesticide residueThe green characteristic value of the jth pixel point of the color image; b isjExpressing a blue characteristic value of a jth pixel point of the pesticide residue color development image; and m represents the total number of pixel points of the pesticide residue color development image.
And step S340, calculating the pesticide residue rate according to the color depth value of the standard color development image and the color depth value of the pesticide residue color development image.
The formula for calculating the pesticide residue rate is as follows:
wherein η represents the residual ratio of the pesticide, P1A color shade value representing a standard developed image; p2The color depth value of the pesticide residue color development image is shown.
A larger value of η indicates more pesticide residue.
And step S4, inputting the pesticide residue rate into a pre-constructed relation model between the pesticide residue rate and the pesticide residue concentration to obtain the pesticide residue concentration.
According to an embodiment of the invention, the method for constructing the relation model between the pesticide residue rate and the pesticide residue concentration in advance comprises the following steps:
step T1, preparing a plurality of groups of sample solutions with pesticide residue concentration;
step T2, putting a plurality of groups of sample solutions with known pesticide residue concentrations on a pesticide residue detection device;
step T3, acquiring a standard color image and a pesticide residue color image of the pesticide residue detection device;
step T4, calculating the pesticide residue rates corresponding to the sample solutions with different pesticide residue concentrations according to the standard color development image and the pesticide residue color development image;
and step T5, constructing a relation model of the pesticide residue rate and the pesticide residue concentration according to the known pesticide residue concentrations of the multiple groups of sample solutions and the pesticide residue rates corresponding to each group of sample solutions.
And step S5, inputting the pesticide residue concentration into a pre-constructed pesticide hazard degree model, outputting the hazard grade of the sample to be detected, and sending an alarm signal when the output hazard grade exceeds a preset standard grade.
According to one embodiment of the invention, the method for constructing the pesticide hazard degree model in advance comprises the following steps:
the pesticide hazard level is classified into a number of grades, for example 4, 6 or 8 grades.
Uniformly dividing the range of the concentration of the pesticide residue into a plurality of equal parts, wherein each grade corresponds to a different range of the concentration of the pesticide residue; further, the several levels are set in advance as standard levels.
And when the concentration of the pesticide residue exceeds a preset standard grade, an alarm signal is sent out.
And step S6, displaying the concentration residual concentration information and the hazard grade of the sample to be detected through a display.
According to one embodiment of the invention, during the pesticide residue detection process, the environmental temperature and the illumination intensity of the detection environment are monitored in real time; specifically, an environmental parameter sensor is adopted to monitor the environmental temperature and the illumination intensity of the detection environment in real time. And judging whether the ambient temperature and the illumination intensity are within a preset standard range, if so, continuing to monitor, and otherwise, adjusting the ambient temperature and/or the illumination intensity to reach the preset standard range.
Example two
As shown in fig. 3, the present application provides a pesticide residue detection system 100, comprising:
and the extraction unit 10 is used for extracting the sample solution to be detected.
The extraction unit 10 comprises a fine crushing device for performing fine crushing treatment on the detection sample; the extraction tube is used for containing an extraction solvent, a sample to be detected is placed into the extraction tube, the sample to be detected is mixed with the extraction solvent, the pesticide is dissolved in the extraction solvent, the middle layer of the extraction tube is provided with a filter layer, the filter layer filters impurities in a solution formed by mixing the sample to be detected and the extraction solvent, the bottom of the extraction tube is provided with an outlet, the outlet is opened, and clear liquid with the filtered impurities flows out of the bottom of the extraction tube; and the concentration device is used for concentrating the extracted clear liquid.
And the pesticide residue detection device 20 is used for detecting the sample solution to be detected.
And the first image acquisition device 30 is used for acquiring a standard color development image of the pesticide residue detection device 20.
And the second image acquisition device 31 is used for acquiring the pesticide residue color development image of the pesticide residue detection device 20.
The standard developed image is a developed image of a sample solution without pesticide residues, and the pesticide residue developed image is a developed image of a sample solution to be detected.
And the data processing module 40 is used for calculating the pesticide residue rate according to the standard color development image and the pesticide residue color development image.
And the obtaining module 60 is configured to input the pesticide residue rate into a pre-constructed relation model between the pesticide residue rate and the pesticide residue concentration to obtain the pesticide residue concentration.
And the model building module 50 is used for pre-building a pesticide residue rate and pesticide residue concentration relation model and a pre-built pesticide hazard degree model.
And a cleaning device 21 for cleaning the pesticide residue detection device 20 after the detection is completed.
A display 70; for displaying the concentration of the pesticide residue, a display 70 is provided on the upper surface of the pesticide residue detecting device 20. The data processing module 40 sends the pesticide residue concentration information and the hazard grade of the sample to be detected to the display 70, and the display 70 displays the received information. And the power supply module 80, wherein the power supply module 80 is electrically connected with the display 70 to supply power to the display 70.
The pesticide residue detection device 20 includes a first detection area and a second detection area separated by an insulation plate; the first detection zone and the second detection zone have a preformed analyte thereon. A first detection area for detecting a sample solution without pesticide residue; and the second detection area is used for detecting the sample solution to be detected.
Preferably, the first detection area and the second detection area are provided with grooves, the inductor is formed on the bottom surface of the groove in advance, and outlets are formed at two ends of the groove; the recess is used for holding waiting to detect sample solution, and the export is used for waiting to detect the surplus solution outflow after sample solution and inductor fuse to prevent that remaining solution from staying on the inductor, the effect of gathering the color development image is influenced, and then improves detection effect.
The sensor comprises acetylcholinesterase (AChE), color indicator (2, 6-dichloroindophenol), substrate (acetylcholine, thioacetylcholine iodide) and phosphate buffer solution with pH of 7.5. The sensor may be displaced from the first detection zone or the second detection zone.
The first detection area and the second detection area are arranged in the dark box in advance, white light sources are arranged on two sides of the dark box, and a first image acquisition device 30 and a second image acquisition device 31 are correspondingly arranged above the first detection area and the second detection area respectively.
The camera bellows has the upper cover that can open, when needs add to the pesticide residue detection device 20 and wait to detect sample solution, opens the upper cover, drips into to wait to detect sample solution on first detection zone and the second detection zone, after dripping into to wait to detect sample solution, closes the upper cover, and the camera bellows is airtight state.
According to a specific embodiment of the present invention, the first detection area and the second detection area are both sheet-like structures with the same size and shape, and the first detection area and the second detection area may be circular or square.
And the environment parameter sensor 22 is used for monitoring the environment temperature and the illumination intensity of the detection environment in real time.
And the judging module 23 is configured to judge whether the ambient temperature and the illumination intensity are within a preset standard range, if so, continue monitoring, and otherwise, adjust the ambient temperature and/or the illumination intensity to reach the preset standard range through the adjusting device 24. The adjusting device 24 includes a temperature adjusting device and a light adjusting device.
The environmental parameter sensor 22 sends the monitored ambient temperature and illumination intensity data to the determination module 23.
And the data interaction module is used for receiving the pesticide residue concentration information and storing the pesticide residue concentration information and the corresponding detection sample information in the quality detection database.
And the information sharing module is used for sharing the data in the quality detection database to the users.
The staff pastes the label that contains pesticide residue degree information for detecting the sample according to the pesticide residue concentration information that display 70 shows.
The beneficial effect that this application realized is as follows:
(1) this application adopts pesticide residue detection device to detect pesticide residue degree, and it detects fastly, convenient to use, small, portable and removal, is applicable to the witnessed inspections.
(2) According to the method, the pesticide residue rate is calculated according to the standard color rendering image and the pesticide residue color rendering image, and the pesticide residue rate is input into the pre-constructed pesticide residue rate and pesticide residue concentration relation model, so that the pesticide residue concentration obtaining method improves the detection accuracy of pesticide residue, shortens the time for obtaining the pesticide residue concentration, and improves the detection efficiency.
(3) This application is at the in-process that the pesticide detected, and the ambient temperature and the illumination intensity of real-time supervision testing environment control ambient temperature and illumination intensity at reasonable threshold value within range, prevent that ambient temperature and illumination intensity from causing the influence to the testing result, improve the degree of accuracy of pesticide residue concentration testing result.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (10)
1. A method for detecting pesticide residues, comprising:
extracting a sample solution to be detected;
detecting a sample solution to be detected by using a pesticide residue detection device, and collecting a standard color development image and a pesticide residue color development image of the pesticide residue detection device;
the standard developed image is a developed image of a sample solution without pesticide residues, and the pesticide residue developed image is a developed image of a sample solution to be detected;
calculating the pesticide residue rate according to the standard color development image and the pesticide residue color development image;
and inputting the pesticide residue rate into a pre-constructed pesticide residue rate and pesticide residue concentration relation model to obtain the pesticide residue concentration.
2. The method for detecting pesticide residue according to claim 1, characterized in that the method for extracting the sample solution to be detected comprises the steps of:
dissolving a sample to be detected in an extraction solvent;
filtering out impurities in the dissolved solution;
and concentrating the solution with the impurities filtered out to obtain a sample solution to be detected.
3. The method for detecting pesticide residue according to claim 1, characterized in that the formula for calculating the pesticide residue ratio is:
wherein η represents the residual ratio of the pesticide, P1A color shade value representing a standard developed image; p2The color depth value of the pesticide residue color development image is shown.
4. The method for detecting pesticide residue according to claim 3, wherein the formula for calculating the color shade value of the standard developed image is as follows:
wherein, P1A color shade value representing a standard developed image; riExpressing a red characteristic value of the ith pixel point of the standard color development image; giExpressing the green characteristic value of the ith pixel point of the standard color development image; b isiExpressing a blue characteristic value of the ith pixel point of the standard color development image; n represents the total number of pixel points of the standard color development image.
5. The method for detecting pesticide residue according to claim 3, wherein the formula for calculating the color shade value of the developed image of pesticide residue is as follows:
wherein, P2Representing the color depth value of the pesticide residue color development image; rjExpressing a red characteristic value of a jth pixel point of the pesticide residue color development image; gjExpressing the green characteristic value of the jth pixel point of the pesticide residue color development image; b isjExpressing a blue characteristic value of a jth pixel point of the pesticide residue color development image; and m represents the total number of pixel points of the pesticide residue color development image.
6. The method for detecting pesticide residue according to claim 1, characterized in that the method for constructing a model of relationship between the pesticide residue rate and the pesticide residue concentration in advance comprises:
preparing a plurality of groups of sample solutions with pesticide residue concentration;
dripping a plurality of groups of sample solutions with known pesticide residue concentrations on a pesticide residue detection device;
acquiring a standard color development image and a pesticide residue color development image of a pesticide residue detection device;
calculating pesticide residue rates corresponding to sample solutions with different pesticide residue concentrations according to the standard color development image and the pesticide residue color development image;
and constructing a relation model of the pesticide residue rate and the pesticide residue concentration according to the known pesticide residue concentrations of the multiple groups of sample solutions and the pesticide residue rate corresponding to each group of sample solutions.
7. The method for detecting pesticide residue according to claim 1, characterized by further comprising: inputting the concentration of the pesticide residue into a pre-constructed pesticide hazard degree model, outputting the hazard grade of the sample to be detected, and sending an alarm signal when the output hazard grade exceeds a preset standard.
8. The method for detecting pesticide residue according to claim 1, characterized by further comprising:
in the pesticide residue detection process, monitoring the environmental temperature and the illumination intensity of a sample to be detected in real time;
and judging whether the ambient temperature and the illumination intensity are within a preset standard range, if so, continuing to monitor, and otherwise, adjusting the ambient temperature and/or the illumination intensity to reach the preset standard range.
9. A pesticide residue detection system, comprising:
the extraction unit is used for extracting a sample solution to be detected;
the pesticide residue detection device is used for detecting the sample solution to be detected;
the first image acquisition device is used for acquiring a standard color development image of the pesticide residue detection device;
the second image acquisition device is used for acquiring a pesticide residue color development image of the pesticide residue detection device;
the standard developed image is a developed image of a sample solution without pesticide residues, and the pesticide residue developed image is a developed image of a sample solution to be detected;
the data processing module is used for calculating the pesticide residue rate according to the standard color development image and the pesticide residue color development image;
and the acquisition module is used for inputting the pesticide residue rate into a pre-constructed pesticide residue rate and pesticide residue concentration relation model to obtain the pesticide residue concentration.
10. The pesticide residue detection system as claimed in claim 9, wherein the pesticide residue detection means comprises a first detection zone and a second detection zone separated by an insulation plate,
a first detection area for detecting a sample solution without pesticide residue;
and the second detection area is used for detecting the sample solution to be detected.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111896513A (en) * | 2020-08-13 | 2020-11-06 | 广东省林业科学研究院 | Big data statistical analysis system for residual detection of toxic and harmful substances |
| CN112198196A (en) * | 2020-10-09 | 2021-01-08 | 中国人民解放军陆军防化学院 | Disinfection effect evaluation system |
| CN112200452A (en) * | 2020-10-09 | 2021-01-08 | 中国人民解放军陆军防化学院 | Disinfection effect evaluation method |
| CN112946105A (en) * | 2021-01-27 | 2021-06-11 | 延吉海关综合技术服务中心 | Pesticide residue rapid detection system and detection method |
| CN113484314A (en) * | 2021-08-16 | 2021-10-08 | 智锐达仪器科技南通有限公司 | Detection method for pesticide residue detector and pesticide residue detector |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101576479A (en) * | 2008-05-09 | 2009-11-11 | 中国农业大学 | Method for detecting organophosphorus and carbamate pesticide residue |
| CN102565044A (en) * | 2011-12-19 | 2012-07-11 | 北京市农林科学院 | Method for detecting pesticide residue by adopting rapid-determination card on basis of image processing |
| CN102692388A (en) * | 2012-06-19 | 2012-09-26 | 中国农业大学 | Digital imaging system and method for rapid detection of organophosphorus pesticide residues in fruits and vegetables by using same |
| CN104198482A (en) * | 2014-09-05 | 2014-12-10 | 北京智云达科技有限公司 | Test paper reading method and test paper reading device |
| CN206594063U (en) * | 2017-03-23 | 2017-10-27 | 广州聚佰生物科技有限公司 | A kind of broad-spectrum pesticide remains quick detection plate |
-
2019
- 2019-12-24 CN CN201911347838.7A patent/CN111007061A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101576479A (en) * | 2008-05-09 | 2009-11-11 | 中国农业大学 | Method for detecting organophosphorus and carbamate pesticide residue |
| CN102565044A (en) * | 2011-12-19 | 2012-07-11 | 北京市农林科学院 | Method for detecting pesticide residue by adopting rapid-determination card on basis of image processing |
| CN102692388A (en) * | 2012-06-19 | 2012-09-26 | 中国农业大学 | Digital imaging system and method for rapid detection of organophosphorus pesticide residues in fruits and vegetables by using same |
| CN104198482A (en) * | 2014-09-05 | 2014-12-10 | 北京智云达科技有限公司 | Test paper reading method and test paper reading device |
| CN206594063U (en) * | 2017-03-23 | 2017-10-27 | 广州聚佰生物科技有限公司 | A kind of broad-spectrum pesticide remains quick detection plate |
Non-Patent Citations (2)
| Title |
|---|
| 熊芩: "膜富集结合膜上图像比色法快速检测微量有机磷农药", 《高等学校化学学报》 * |
| 车智超 等: "关于物质浓度与颜色辨识的研究", 《社科纵横》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111896513A (en) * | 2020-08-13 | 2020-11-06 | 广东省林业科学研究院 | Big data statistical analysis system for residual detection of toxic and harmful substances |
| CN112198196A (en) * | 2020-10-09 | 2021-01-08 | 中国人民解放军陆军防化学院 | Disinfection effect evaluation system |
| CN112200452A (en) * | 2020-10-09 | 2021-01-08 | 中国人民解放军陆军防化学院 | Disinfection effect evaluation method |
| CN112946105A (en) * | 2021-01-27 | 2021-06-11 | 延吉海关综合技术服务中心 | Pesticide residue rapid detection system and detection method |
| CN113484314A (en) * | 2021-08-16 | 2021-10-08 | 智锐达仪器科技南通有限公司 | Detection method for pesticide residue detector and pesticide residue detector |
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