AU2020102406A4 - Method for detecting pesticide residues in agricultural products - Google Patents
Method for detecting pesticide residues in agricultural products Download PDFInfo
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- AU2020102406A4 AU2020102406A4 AU2020102406A AU2020102406A AU2020102406A4 AU 2020102406 A4 AU2020102406 A4 AU 2020102406A4 AU 2020102406 A AU2020102406 A AU 2020102406A AU 2020102406 A AU2020102406 A AU 2020102406A AU 2020102406 A4 AU2020102406 A4 AU 2020102406A4
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- Prior art keywords
- pesticide
- spectrum
- pesticides
- detection model
- agricultural products
- 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.)
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- 239000000447 pesticide residue Substances 0.000 title claims abstract description 15
- 238000000034 method Methods 0.000 title claims abstract description 14
- 239000000575 pesticide Substances 0.000 claims abstract description 44
- 238000001514 detection method Methods 0.000 claims abstract description 43
- 238000001228 spectrum Methods 0.000 claims abstract description 15
- 238000004433 infrared transmission spectrum Methods 0.000 claims abstract description 14
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 claims abstract description 12
- 239000000203 mixture Substances 0.000 claims abstract description 12
- 230000003595 spectral effect Effects 0.000 claims abstract description 10
- 239000000047 product Substances 0.000 claims description 31
- 239000012153 distilled water Substances 0.000 claims description 12
- 239000000243 solution Substances 0.000 claims description 12
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 12
- XEKOWRVHYACXOJ-UHFFFAOYSA-N Ethyl acetate Chemical compound CCOC(C)=O XEKOWRVHYACXOJ-UHFFFAOYSA-N 0.000 claims description 9
- 239000000706 filtrate Substances 0.000 claims description 9
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 6
- 239000007864 aqueous solution Substances 0.000 claims description 6
- 239000007788 liquid Substances 0.000 claims description 6
- 230000006698 induction Effects 0.000 claims description 4
- PMZURENOXWZQFD-UHFFFAOYSA-L Sodium Sulfate Chemical compound [Na+].[Na+].[O-]S([O-])(=O)=O PMZURENOXWZQFD-UHFFFAOYSA-L 0.000 claims description 3
- 239000003960 organic solvent Substances 0.000 claims description 3
- 150000003839 salts Chemical class 0.000 claims description 3
- 239000002904 solvent Substances 0.000 claims description 3
- 230000035699 permeability Effects 0.000 abstract description 5
- 238000005259 measurement Methods 0.000 abstract 1
- 238000010521 absorption reaction Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 241000238631 Hexapoda Species 0.000 description 1
- 241000607479 Yersinia pestis Species 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000004817 gas chromatography Methods 0.000 description 1
- 238000004128 high performance liquid chromatography Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000004808 supercritical fluid chromatography Methods 0.000 description 1
- 238000004809 thin layer chromatography 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/02—Food
- G01N33/025—Fruits or vegetables
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- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Immunology (AREA)
- Food Science & Technology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Pathology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Medicinal Chemistry (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The present invention discloses a method for detecting pesticide residues in agricultural
products, comprising the following steps: step (1) Establishing a detection model: (1.1)
Preparing a sample: (1.2) Collecting spectral data; (1.3) Establishing a detection model; step (2)
Detecting the spectrum of agricultural products: (2.1) Sample preparation: (2.2) Sample
processing: take the solute prepared above and dissolve it in 75ml alcohol solution; (2.3) Collect
spectral data: obtain the near-infrared transmission spectrum of the solute solution dissolved in
alcohol; (3) Determine the composition and content of pesticides in agricultural products;
compare the near-infrared transmission spectrum of the dissolved alcohol solute solution
obtained in step (2.3) with the spectrum and the pesticide content detection model obtained in
step (1.3). The invention realizes the precise detection of the types and contents of pesticides,
and the improvement of the detection device makes the sample preparation refined, which
greatly improves the selective permeability of pesticide molecules, thereby improving the
accuracy of measurement and meeting the actual requirements.
Description
[0001] The invention relates to a method for detecting pesticide residues of agricultural products, and belongs to the technical field of agricultural products detection.
[0002] Pesticides have obvious effects on agricultural diseases and insect pests, and promote O the growth of agricultural products. However, due to the lack of knowledge of scientific use of pesticides, many farmers have caused pesticide residues in agricultural products to exceed national standards, which not only pollutes the ecological environment, but also seriously damages people's health. At present, the conventional detection methods of pesticide residues include: thin layer chromatography, gas chromatography, high performance liquid chromatography, supercritical fluid chromatography, and so on. Among them, the instrumental analysis detection method has the highest accuracy, but its detection process is complicated, the detection time is long, the biochemical detection technology is developing rapidly, and a new technical solution needs to be studied.
[0003] The present invention is aimed at the shortcomings of the prior art, and provides a method for detecting pesticide residues in agricultural products, which realizes the accurate detection of the types and contents of pesticides, and meets actual use requirements.
[0004] To solve the above problems, the technical solutions of the present invention are as follows:
[0005] A method for detecting pesticide residues in agricultural products, comprising the following steps:
[0006] Step (1) Establishing a detection model
[0007] (1.1) Sample preparation: Mix pesticides that can be dissolved in distilled water with distilled water, and select the mass ratio of pesticides to distilled water to be multiple ratios of arithmetic series;
[0008] (1.2) Collect spectral data: Obtain near-infrared transmission spectrum of pesticide aqueous solution;
[0009] (1.3) Establish a detection model: Establish a spectrum and pesticide content detection model in a two-dimensional coordinate system according to the ratio of pesticides to distilled water and the corresponding near-infrared transmission spectrum of the corresponding pesticide aqueous solution;
[0010] Step (2) Detecting the spectrum of agricultural products to be tested
[0011] (2.1) Sample preparation:
[0012] Clean he agricultural product to be tested, and then place in the vacuum chamber of the detection device, achieve the pressure difference by the vacuum pump to obtain the compressed liquid of the agricultural product to be tested, and then the anhydrous sodium sulfate, the organic solvent ethyl acetate and activated carbon, adjust and filter the compressed liquid;
[0013] (2.2) Electrode induction: Place the above compressed filtrate on the lower electrode medium of the plasma device, and irradiate it for 3-5 seconds under the operating conditions of voltage 2.2kV, current 1.2mA, and gap 3.2mm;
[0014] (2.3) Concentration: Heat the above compressed filtrate in a salt bath with a temperature of 65-75 degrees, and the solvent in the compressed filtrate evaporates, leaving the solute;
[0015] (2.4) Sample processing: take the solute prepared above and dissolve it in 75ml alcohol solution, shake it evenly;
[00161 (2.5) Collect spectral data: Obtain the near-infrared transmission spectrum of the solute solution dissolved in alcohol;
[0017] Step (3), determine the composition and content of pesticides in the agricultural product
[0018] Compare the near-infrared transmission spectrum of the solute solution dissolved in alcohol obtained in step (2.5) with the spectrum and the pesticide content detection model to obtain the pesticide composition and content of the agricultural product obtained in step (1.3).
[0019] As an improvement of the above technical solution, the spectrum and the pesticide content detection model are in the form of a two-dimensional curve, and different two-dimensional curves are drawn for different pesticides.
[0020] Compared with the prior art, the implementation effects of the present invention are as follows:
[0021] The method for detecting pesticide residues in agricultural products of the present invention first establishes a detection model, and then refines the sample to be detected by the detection device to improve the molecular selective permeability of the sample to be detected, thereby improving the accuracy of spectral detection of the sample to be detected, accurately determine the pesticide composition and content in the agricultural product (not only can detect the type of pesticide through the spectrum, but also determine the content of the pesticide according to the absorption intensity), that is, the content is obtained by comparing with the detection model. The detection is reliable, high efficiency, meeting actual testing needs.
[0022] The content of the present invention will be described below in conjunction with specific embodiments.
[0023] Example 1
[0024] A method for detecting pesticide residues in agricultural products, including the following steps:
[0025] Step (1) Establishing a detection model
[0026] (1.1) Sample preparation: Mix pesticides that can be dissolved in distilled water with distilled water, and select the mass ratio of pesticides to distilled water to be multiple ratios of arithmetic series;
[0027] (1.2) Collecting spectral data: Obtain near-infrared transmission spectrum of pesticide aqueous solution;
[0028] (1.3) Establishing a detection model: Establish a spectrum and pesticide content detection model in a two-dimensional coordinate system according to the ratio of pesticides to distilled water, and the corresponding near-infrared transmission spectrum of the corresponding pesticide aqueous solution;
[0029] Step (2) Detecting the spectrum of the agricultural product to be tested
[0030] (2.1) Sample preparation:
[0031] Clean the agricultural product to be tested, and then place in the vacuum chamber of the detection device, achieve the pressure difference by the vacuum pump to obtain the compressed liquid of the agricultural product to be tested, and then the anhydrous sodium sulfate, the organic solvent ethyl acetate and activated carbon, adjust and filter the compressed liquid;
[0032] (2.2) Electrode induction: Place the above compressed filtrate on the lower electrode medium of the plasma device, and irradiate it for 3-5 seconds under the operating conditions of voltage 2.2kV, current 1.2mA, and gap 3.2mm;
[0033] (2.3) Concentration: Heat the above compressed filtrate in a salt bath with a temperature of 65-75 degrees, and the solvent in the compressed filtrate evaporates, leaving the solute;
[0034] (2.4) Sample processing: take the solute prepared above and dissolve it in 75ml alcohol solution, shake it evenly;
[0035] (2.5) Collecting spectral data: Obtain the near-infrared transmission spectrum of the solute solution dissolved in alcohol;
[0036] Step (3), determine the composition and content of pesticides in the agricultural product
[0037] Compare the near-infrared transmission spectrum of the solute solution dissolved in alcohol obtained in step (2.5) with the spectrum and the pesticide content detection model to obtain the pesticide composition and content of the agricultural product obtained in step (1.3).
[0038] The method for detecting pesticide residues in agricultural products of the present invention first establishes a detection model, and then refines the sample to be detected by the detection device to improve the molecular selective permeability of the sample to be detected, thereby improving the accuracy of spectral detection of the sample to be detected, and accurately determine the pesticide composition and content in the agricultural product (not only can detect the type of pesticide through the spectrum, but also determine the content of the pesticide according to the absorption intensity), that is, the content is obtained by comparing with the detection model. In addition, the detection device has reasonable structural design, simple operation and easy operation, which facilitates the refined processing of the agricultural product to be tested, greatly improves the molecular selective permeability of the tested samples, and facilitates the detection of agricultural pesticide residues. Among them, the molecules behind the electrode induction have extremely strong selective permeability.
[0039] Note: The detection accuracy of the detection method of the present invention combined with the detection device reaches 99.3%.
[0040] The above content is a detailed description of the present invention in conjunction with specific embodiments, and it cannot be considered that the specific implementation of the present invention is limited to these descriptions. For those skilled in the art to which the present invention belongs, various simple deductions or substitutions can be made without departing from the concept of the present invention, which should be regarded as falling within the protection scope of the present invention.
Editorial Note 2020102406 There is only two pages of the claim
Claims (3)
1. 1. A method for detecting pesticide residues in agricultural products, characterized in that it comprises the following steps:
Step (1) Establishing a detection model
(1.1) Sample preparation: Mix pesticides that can be dissolved in distilled water with distilled water, and select the mass ratio of pesticides to distilled water to be multiple ratios of arithmetic series;
(1.2) Collecting spectral data: Obtain near-infrared transmission spectrum of pesticide aqueous solution;
(1.3) Establishing a detection model: Establish a spectrum and pesticide content detection model in a two-dimensional coordinate system according to the ratio of pesticides to distilled water and the corresponding near-infrared transmission spectrum of the corresponding pesticide aqueous solution;
Step (2) Detecting the spectrum of agricultural products to be tested
(2.1) Sample preparation:
Clean the agricultural product to be tested and then place in the vacuum chamber of the detection device, achieve the pressure difference by the vacuum pump to obtain the compressed liquid of the agricultural product to be tested, and then the anhydrous sodium sulfate, the organic solvent ethyl acetate and activated carbon, adjust and filter the compressed liquid;
(2.2) Electrode induction: Place the above compressed filtrate on the lower electrode medium of the plasma device, and irradiate it for 3 to 5 seconds under the operating conditions of voltage 2.2kV, current 1.2mA, and gap 3.2mm;
(2.3) Concentration: Heat the above compressed filtrate in a salt bath with a temperature of 65 to 75 degrees, and the solvent in the compressed filtrate evaporates, leaving the solute;
(2.4) Sample processing: take the solute prepared above and dissolve it in 75ml alcohol solution, shake it evenly;
(2.5) Collect spectral data: Obtain the near-infrared transmission spectrum of the solute solution dissolved in alcohol;
Step (3), determine the composition and content of pesticides in agricultural product; Compare the near-infrared transmission spectrum of the solute solution dissolved in alcohol obtained in step (2.5) with the spectrum and the pesticide content detection model to obtain the pesticide composition and content of the agricultural product obtained in step (1.3).
2. The method for detecting pesticide residues in agricultural products according to claim 1, wherein the spectrum and the pesticide content detection model are in the form of two-dimensional curves, and different two-dimensional curves are drawn for different pesticides.
3. The method for detecting pesticide residues in agricultural products according to claim 2, wherein two adjacent points in the two-dimensional curve are linearly connected, and the two-dimensional curve is obtained by a multi-order function fitting method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2020102406A AU2020102406A4 (en) | 2020-09-29 | 2020-09-29 | Method for detecting pesticide residues in agricultural products |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2020102406A AU2020102406A4 (en) | 2020-09-29 | 2020-09-29 | Method for detecting pesticide residues in agricultural products |
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| Publication Number | Publication Date |
|---|---|
| AU2020102406A4 true AU2020102406A4 (en) | 2020-12-24 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2020102406A Ceased AU2020102406A4 (en) | 2020-09-29 | 2020-09-29 | Method for detecting pesticide residues in agricultural products |
Country Status (1)
| Country | Link |
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| AU (1) | AU2020102406A4 (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112747981A (en) * | 2020-12-25 | 2021-05-04 | 山东中正食品科技检测有限公司 | Agricultural and sideline products pesticide content check out test set |
| CN112844343A (en) * | 2020-12-28 | 2021-05-28 | 江西省食品检验检测研究院（江西国家果蔬产品及加工食品质量监督检验中心） | Quick purge tube of pesticide residue in fruit vegetables |
| CN114112979A (en) * | 2021-12-02 | 2022-03-01 | 南京林业大学 | Terahertz spectrum-based agricultural product pesticide residue quantitative detection method |
| CN117761009A (en) * | 2024-01-03 | 2024-03-26 | 莒南县计量测试所 | Quick detection method for food pesticide residues |
-
2020
- 2020-09-29 AU AU2020102406A patent/AU2020102406A4/en not_active Ceased
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112747981A (en) * | 2020-12-25 | 2021-05-04 | 山东中正食品科技检测有限公司 | Agricultural and sideline products pesticide content check out test set |
| CN112844343A (en) * | 2020-12-28 | 2021-05-28 | 江西省食品检验检测研究院（江西国家果蔬产品及加工食品质量监督检验中心） | Quick purge tube of pesticide residue in fruit vegetables |
| CN114112979A (en) * | 2021-12-02 | 2022-03-01 | 南京林业大学 | Terahertz spectrum-based agricultural product pesticide residue quantitative detection method |
| CN117761009A (en) * | 2024-01-03 | 2024-03-26 | 莒南县计量测试所 | Quick detection method for food pesticide residues |
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| AMFD | Amendment of filing date |
Effective date: 20200929 |
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| FGI | Letters patent sealed or granted (innovation patent) | ||
| MK22 | Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry |