CN106706592B - Pesticide residue detecting system based on Raman spectrum - Google Patents
Pesticide residue detecting system based on Raman spectrum Download PDFInfo
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- CN106706592B CN106706592B CN201510439317.XA CN201510439317A CN106706592B CN 106706592 B CN106706592 B CN 106706592B CN 201510439317 A CN201510439317 A CN 201510439317A CN 106706592 B CN106706592 B CN 106706592B
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Abstract
The invention discloses a pesticide residue detection system based on Raman spectrum, comprising: the pretreatment equipment is used for treating the object to be detected into object treatment liquid to be detected; the optical detection equipment is used for emitting exciting light to the treatment fluid of the object to be detected and collecting Raman scattering light from the treatment fluid of the object to be detected; and a data processing device for extracting a Raman spectrum from the Raman scattering light and determining whether the pesticide residue is contained in the object to be tested based on the Raman spectrum, wherein the pretreatment device comprises a plurality of pretreatment chambers. The pesticide residue detection system can realize high-efficiency, simple and accurate detection on pesticide residues, and is particularly suitable for on-site rapid detection.
Description
Technical Field
The invention relates to the technical field of pesticide residue detection, in particular to a pesticide residue detection system based on Raman spectrum.
Background
The pesticide plays an important role in preventing and treating crop diseases and insect pests, and the use of the pesticide brings great benefits to agricultural production. However, the improper use of pesticides also raises serious environmental and food safety issues. In addition, all countries in the world have the maximum pesticide residue limit related to the regulation of established documents, and because the standards are inconsistent, the pesticide residue of agricultural and sideline products in China does not meet the international requirements every year, so that the export is influenced, and the great direct economic loss is caused. Therefore, the method has important significance for detecting pesticide residues. The analysis and detection of pesticide residues currently relies primarily on laboratory large instruments to do so, and pesticide residue detection equipment suitable for applications such as rapid field detection of pesticide residues remains lacking. Therefore, a system with simple operation and accurate result is needed for pesticide residue detection.
Disclosure of Invention
The invention aims to provide a pesticide residue detection system based on Raman spectrum, which can quickly, efficiently and accurately determine the components and the concentration of pesticide residues (especially organophosphorus pesticide) in food.
The embodiment of the invention provides a pesticide residue detection system based on Raman spectrum, which comprises:
the pretreatment equipment is used for treating the object to be detected into object treatment liquid to be detected;
the optical detection equipment is used for emitting exciting light to the treatment fluid of the object to be detected and collecting Raman scattering light from the treatment fluid of the object to be detected; and
a data processing device for extracting a Raman spectrum from the Raman scattered light and determining whether or not the analyte contains a pesticide residue based on the Raman spectrum, wherein,
the pretreatment apparatus includes a plurality of pretreatment chambers.
In one embodiment, the plurality of pre-treatment chambers comprises:
the device comprises a first pretreatment chamber, a second pretreatment chamber and a control device, wherein a mashing part is arranged in the first pretreatment chamber and is used for mashing and homogenizing a to-be-detected object;
a second pretreatment chamber, in which an extraction device is arranged, for extracting a solution from the mashed analyte to form an analyte extraction solution;
the third pretreatment chamber is provided with a purifying material and is used for filtering interference substances from the extract of the object to be detected to form an object to be detected purified liquid; and
and the fourth pretreatment chamber is internally provided with a concentration and solvent conversion device which is used for concentrating the purified liquid of the object to be detected and converting the solvent into ultrapure water.
In one embodiment, the plurality of pre-treatment chambers further comprises:
and a fifth pretreatment chamber, wherein the object purifying liquid treated by the fourth pretreatment chamber is mixed with a Raman spectrum enhancing reagent to form the object treating liquid.
In one embodiment, the preprocessing apparatus further includes:
the Raman spectrum enhanced reagent preparation chamber is provided with a heater, a stirrer and a centrifugal device and is used for preparing the Raman spectrum enhanced reagent and carrying out concentration treatment.
In one embodiment, the heights of the positions where the first to fifth pre-treatment chambers are located are sequentially reduced.
In one embodiment, each two adjacent pretreatment chambers of the first to fifth pretreatment chambers are separated by a displaceable partition plate, and the displaceable partition plate can displace the analyte, the analyte extracting solution or the analyte purifying solution from one pretreatment chamber to another adjacent pretreatment chamber.
In one embodiment, the data processing apparatus comprises:
a reference raman spectrum library storage unit for storing a reference raman spectrum of the pesticide residue of known composition and concentration;
the Raman spectrum data processing unit is used for performing spectrogram processing on the Raman spectrum extracted from the Raman scattering light so as to improve the accuracy of spectrogram identification;
a pesticide residue component detection unit for extracting a characteristic peak from the Raman spectrum extracted from the Raman scattering light and comparing the peak position of the characteristic peak with a reference Raman spectrum to detect the pesticide residue component in the object to be detected; and
and the pesticide residue concentration detection unit is used for comparing the peak intensity of the characteristic peak with the reference Raman spectrum so as to detect the concentration of the pesticide residue in the object to be detected.
In one embodiment, the pesticide comprises an organophosphorous pesticide.
In one embodiment, the pesticide residue detection system further comprises:
a housing for accommodating the preprocessing device, the optical detection device and the data processing device,
the shell is provided with an object to be detected input port and a display screen, the object to be detected input port is used for receiving the object to be detected and sending the object to be detected into the pretreatment equipment, and the display screen is connected with the data processing equipment and used for displaying a pesticide residue detection result.
In an embodiment, the data processing apparatus further comprises a controller for coordinating and controlling the operation of the preprocessing apparatus and the optical detection apparatus.
The technical scheme of the invention can provide a pesticide residue detection system based on Raman spectrum. The device can realize high-efficiency, simple and accurate detection of pesticide residues in food (such as fruits, vegetables and the like), and is particularly suitable for on-site rapid detection.
Drawings
Fig. 1 shows a schematic configuration diagram of a pesticide residue detection system according to an embodiment of the present invention;
FIG. 2 shows a schematic diagram of a pre-processing apparatus according to an embodiment of the invention;
FIG. 3 shows a schematic diagram of a data processing apparatus according to an embodiment of the invention;
FIG. 4 shows surface enhanced Raman spectroscopy plots of a pesticide containing phosmet at various concentrations and apples not containing the pesticide; and
fig. 5 schematically shows a characteristic peak intensity of a reference raman spectrum of phosmet as a graph of concentration.
Detailed Description
The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings. In the specification, the same or similar reference numerals denote the same or similar components. The following description of the embodiments of the present invention with reference to the accompanying drawings is intended to explain the general inventive concept of the present invention and should not be construed as limiting the invention.
Fig. 1 shows a schematic structural diagram of a pesticide residue detection system 100 according to an embodiment of the present invention. The pesticide residue detection system 100 includes: a pretreatment device 10 for treating an object to be measured into an object treatment liquid; an optical detection device 20 for emitting excitation light to the treatment solution of the object to be measured and collecting raman scattered light from the pretreatment solution; and a data processing device 30 for extracting a Raman spectrum from the Raman scattered light and determining whether or not the test object contains a pesticide residue based on the Raman spectrum.
In practice, the object to be detected, i.e., the object to be detected of the pesticide residue, may include various foods (such as fruits, vegetables, grains, nutrients, etc.), medicines, and any other articles that may be harmful due to the pesticide residue, such as livestock feed, etc. The pretreatment device 10 is significant for improving the detection precision and expanding the application range of the detection system, can process the object to be detected into the object treatment solution to be detected for the optical detection device 20 to detect, and has higher precision in detecting the object treatment solution compared with directly carrying out optical Raman detection on the object to be detected. The pretreatment apparatus 10 may include a plurality of pretreatment chambers. Each pre-treatment chamber performs different treatments on the object to be tested. In this way, the pre-processing device 10 is easily integrated with the optical detection device 20 and the data processing device 30, which not only ensures comprehensive pre-processing of the object to be detected to improve the detection precision, but also facilitates transportation and carrying of the pesticide residue detection system 100, thereby being suitable for on-site rapid detection.
In one example, the pesticide residue detection system 100 may include a housing 50 (shown in fig. 1) for housing the pre-treatment device 10, the optical detection device 20, and the data processing device 30. That is, the pesticide residue detection system 100 may be an integral device, such as a portable device or a vehicle-mountable device. This facilitates the on-site detection of the pesticide residue detection system 100 without having to be located in a laboratory. However, the present invention is not limited thereto, and for example, the preprocessing device 10, the optical detection device 20, and the data processing device 30 may be separate devices.
In one example, the housing 50 may be provided with an input port 51 for the test object and a display screen 52. The sample input port 51 is used for receiving a sample and sending the sample into the pretreatment apparatus 10. The display screen 52 is electrically connected to the data processing device 30 for displaying the result of the pesticide residue detection.
As an example, as shown in fig. 1, the data processing device 30 may further include a controller 310, and the controller 310 may perform coordinated control on the operations of the pre-processing device 10 and the optical detection device 20, so that the operation of the object in each pre-processing chamber and the operation of performing optical detection thereon can be automatically performed in sequence. Thus, it is possible to see the detection result on the display screen 52 after a certain time has elapsed after the sample is put in from the sample input port 51 without manually performing the operation step by step.
As an example, the pesticide residue detection system 100 according to an embodiment of the present invention may be used to detect the residue of an organophosphorus pesticide. The organophosphorus pesticide may include isocarbophos, phorate, trithione, fonofos, methidathion, fenthion, triazophos, phosmet, vophos, methyl parathion, etc.
In one example, the plurality of pre-treatment chambers may include: a first pretreatment chamber 11, a second pretreatment chamber 12, a third pretreatment chamber 13, and a fourth pretreatment chamber 14. A mashing member 111 for mashing the specimen into a relatively uniform slurry (or mashing and homogenizing treatment) may be provided in the first pretreatment chamber 11. By way of example, the triturating member may comprise various tools for triturating solid or semi-fluid, such as cutting blades, crushing hammers, etc. An extracting agent may be disposed in the second pretreatment chamber 12 for performing an extraction process on the mashed analyte to form an analyte extracting solution. As an example, an extraction device 121 (e.g., a centrifugal extraction device, a gyrator, a stirrer, etc.) may be further disposed in the second pretreatment chamber 12 for extracting the mashed test object to improve the extraction efficiency. A purifying material is disposed in the third pretreatment chamber 13, and is used for filtering interfering substances from the analyte extracting solution to form an analyte purifying solution. The purification material may include an adsorbate such as activated carbon or other material capable of filtering out interfering substances. Examples of the interfering substance include organic acids, pigments, gums, and celluloses. The spectrum of the interfering substance may have an effect on the raman spectrum, and reducing the amount of the interfering substance or removing the interfering substance may improve the signal-to-noise ratio of the raman spectrum signal, thereby improving the accuracy of the detection. A concentration device may be disposed in the fourth pretreatment chamber 14, and is configured to perform a concentration treatment on the sample purified liquid to increase the concentration, and convert the solvent into ultrapure water, so as to reduce interference of the raman spectrum of the organic solvent on the spectrum of the pesticide to be detected, and obtain a pretreatment liquid. The concentration treatment can be achieved by, for example, heating evaporation.
As an example, the plurality of pre-treatment chambers may further include: and a fifth pretreatment chamber 15 in which the specimen treatment solution treated by the fourth pretreatment chamber is mixed with a raman spectrum enhancing reagent to form the specimen treatment solution. The raman spectrum enhancing reagent can be used to enhance the signal intensity of raman spectra to improve detection accuracy and sensitivity. The raman spectrum enhancing agent may comprise a nanomaterial enhancing agent, such as a metallic nanomaterial, including, for example, any one or combination of gold, silver, and copper.
In an example, the preprocessing apparatus 10 may further include: the raman spectrum enhancement reagent preparation chamber 17 may be provided with a heater, a stirrer, and a centrifugal device, and is used for preparing the raman spectrum enhancement reagent and performing centrifugal concentration.
In the above example, the solution of the raman spectrum enhancing reagent may be stored in the fifth pretreatment chamber 15 in advance, or the raman spectrum enhancing reagent may be prepared in the raman spectrum enhancing reagent preparing chamber 17 in preparation for starting the detection operation.
Although each of the above described pre-treatment chambers is shown in fig. 2, this does not mean that each of the above described pre-treatment chambers is necessary. In practice, the required pre-treatment chamber can be selected to perform the pre-treatment operation according to the design and detection requirements.
In one example, the first to fifth pre-treatment chambers are located at successively lower heights, as shown in fig. 2. This arrangement facilitates the flow of the specimen from the first pretreatment chamber through the second, third, fourth, and fifth pretreatment chambers in sequence. However, this arrangement is not required. For example, the first to fifth pretreatment chambers may be at substantially the same height, and the specimen or the extraction liquid or the purification liquid thereof may be transferred between the pretreatment chambers by using a transfer means such as a robot or a conveyor.
In one example, each two adjacent pretreatment chambers of the first to fifth pretreatment chambers may be partitioned by a displaceable partition plate 18, which is capable of displacing the analyte, the analyte extracting solution, or the analyte purifying solution from one pretreatment chamber to another adjacent pretreatment chamber. Only the displaceable partition 18 between the third pretreatment chamber 13 and the fourth pretreatment chamber 14 is shown in fig. 2. After the cleaning operation in the third pretreatment chamber 13 is completed, the concentration and solvent-change processes can be performed by moving the displaceable partition 18 upward (e.g., to the position shown by the dotted line in fig. 2) to form an opening below the displaceable partition 18 to allow the analyte cleaning solution to flow into the fourth pretreatment chamber 14. The displaceable partition 18 can also be moved down to form an opening above, for example, for the second pretreatment chamber 12, if it is necessary to extract the supernatant of the solution extracted to be located in the second pretreatment chamber 12, the displaceable partition 18 located between the second pretreatment chamber 12 and the third pretreatment chamber 13 can be moved down to form an opening, thereby allowing the extraction liquid of the specimen to flow into the third pretreatment chamber 13. By way of example, the movement of the displaceable diaphragm 18 may be either a translation or a rotation.
In the embodiment of the present invention, the analyte extracting solution, or the analyte purifying solution is transferred between the respective pretreatment chambers, and is not limited to the above-described exemplary manner. For example, it can be realized in various ways such as a robot, a conveyor belt, a gas pump, etc. For example, each pretreatment chamber may be provided with a dedicated inlet/outlet for transferring the analyte, the analyte extracting solution, or the analyte purifying solution.
In the embodiment of the present invention, each of the pretreatment chambers may be a closed chamber, or may be an open chamber (for example, the top surface is open), the chamber wall of the pretreatment chamber itself may directly contain the analyte, the analyte extracting solution, the analyte purifying solution, or the raman spectrum enhancing reagent, or a container and a device may be separately provided in each of the pretreatment chambers to contain and process the analyte, the analyte extracting solution, the analyte purifying solution, or the raman spectrum enhancing reagent.
In the embodiment of the present invention, the operations in the respective pretreatment chambers may be performed automatically or manually.
As an example, the optical inspection apparatus 20 may include a separate stage, and for example, a pretreatment solution formed after the object is treated by the pretreatment apparatus 10 may be transferred to the stage for optical inspection. Alternatively, the optical detection device 20 may directly emit light into a certain pre-treatment chamber (for example, the fifth pre-treatment chamber 15) in the pre-treatment device 10 to perform raman optical detection. The latter solution may make the pesticide residue detection system 100 more compact.
In an example, the data processing device 30 may include: a reference raman spectrum library storage unit 301 for storing a reference raman spectrum of the pesticide residue of known composition and concentration; a pesticide residue component detection unit 302 for extracting a characteristic peak from the raman spectrum extracted from the raman scattered light and comparing the peak position of the characteristic peak with a reference raman spectrum to detect a pesticide residue component in an object to be detected; and a pesticide residue concentration detection unit 303 for comparing the peak intensity of the characteristic peak with a reference raman spectrum to detect the concentration of the pesticide residue in the analyte. When the pesticide residue composition detection unit 302 and the pesticide residue concentration detection unit 303 perform operations, the reference raman spectrum in the reference raman spectrum library storage unit 301 needs to be called for comparison. And the pesticide residue concentration detection unit 303 may call the extraction result of the pesticide residue component detection unit 302 for the characteristic peak to further calculate the peak intensity of the characteristic peak.
As an example, the data processing device 30 may further include a raman spectrum data processing unit 304, configured to perform spectrum processing on the raman spectrum extracted from the raman scattering light, so as to improve accuracy of spectrum identification. The spectrogram processing may, for example, include spectrogram smoothing, baselining, and the like. The spectrum processing may be performed before the operation of the pesticide residue component detecting unit 302 is performed.
As an example, the reference raman spectrum in the reference raman spectrum library storage unit 301 can be obtained by measuring a raman spectrum of a reference sample containing a known pesticide composition and concentration. The reference raman spectrum can be acquired at the site of detection of the pesticide residue and stored in the reference raman spectrum library storage unit 301, so that consistency and stability of the detection condition for the reference sample and the detection condition for the sample to be detected can be ensured to the maximum extent. Alternatively, in order to shorten the on-site detection time and procedure, a reference raman spectrum may also be acquired in advance (e.g., in a laboratory) from the measurement of the reference sample and stored in the reference raman spectrum library storage unit 301. Alternatively, a standard raman spectrum library such as commercially available may be used as the reference raman spectrum in the present invention. The reference raman spectrum may be replaced or supplemented as required for detection (e.g. type of pesticide).
In order to detect the concentration of the pesticide residue, the reference raman spectrum library storage unit 301 needs to contain reference raman spectrum curves for different pesticide concentrations. In contrast, in the normal raman spectrum detection, only the species is detected, and not the concentration, so that the reference raman spectrum used for the comparison does not include a raman spectrum curve for a different concentration. Furthermore, considering that in the detection of pesticide residues, pesticide residues are mixed in food systems (including food components such as fatty acids, sugars, organic acids, and additives such as pigments and preservatives), the raman spectrum curve of a sample to be tested may also be affected by different food systems. In order to remove the influence of different food systems on the detection result, the reference raman spectrum may include reference raman spectra of various food systems containing pesticide residues with known components and concentrations or reference raman spectra of various food systems not containing any pesticide residues. By utilizing the reference Raman spectrums of various food systems containing pesticide residues with known components and concentrations, the direct comparison and calculation can be carried out with the detection result of the sample to be detected. According to the reference Raman spectrum of various food systems without pesticide residues, the effect of different food systems on the Raman spectrum can be derived, and according to the effect, the characteristic peak corresponding to the pesticide residues can be searched and determined in the Raman spectrum of the sample to be detected.
In order to better detect the concentration of the pesticide residue, as an example, a relational table, a relational graph or a functional relationship between the concentration of the pesticide residue and the peak intensity or peak area of the characteristic peak in the raman spectrum curve can also be established according to the reference raman spectrum curve of the reference sample with different pesticide concentrations in the pesticide residue detection process.
For example, FIG. 4 shows the surface enhanced Raman spectra of a pesticide containing phosmet at various concentrations and apples not containing the pesticide (blank), wherein the Raman spectra of the pesticide phosmet at concentrations of 5ppm, 3ppm, 1ppm and 0.5ppm are shown. Wherein blank indicates the spectrogram of a blank apple without pesticide, and it can be seen that a plurality of characteristic peaks of pesticide phosmet appear in the spectrogram of the apple treatment liquid containing the pesticide, such as those positioned at 607, 672, 1015, 1119 and 1258cm
-1The characteristic peak at equal position is obvious, wherein the characteristic peak is positioned at 607cm
-1Peak intensity of (2) is maximum, caused by C ═ O bending vibration, 672cm
-1Is P ═ S stretching vibration, 710cm
-1Is a benzene ring respiratory vibration mode, 1015cm
-11191cm for P-O-C bond vibration
-1Is P-O-CH
3Vibration of the C-H bond at 1258cm
-1Belong to S-CH
2C-N bond on N vibrates telescopically. Meanwhile, the characteristic peaks do not exist in the curve of the blank apple treatment fluid, so that the characteristic peaks can be used as the judgment basis of the phosmet pesticide residue. As can be seen from FIG. 4, the intensity of the characteristic peak of the pesticide phosmet becomes weaker with the decrease of the concentration, and a distinct characteristic peak of the pesticide can be still observed at a concentration of 0.5 mg/L. According to the regulation of the national food standard GB 2763-2014 maximum limit of pesticide residues in food, the maximum residual quantity of phosmet in the apples is 3mg/L, so that the method can meet the detection requirement of the national standard.
As can be seen from fig. 4, the peak intensity of the characteristic peak in the raman spectrum curve increases with increasing concentration, and the characteristic peak can still be observed when the concentration of the agricultural chemical is as low as 0.5 ppm. On the other hand, the peak position of the characteristic peak (i.e., the position of the raman shift corresponding to the characteristic peak) does not vary depending on the concentration of the pesticide. Thus, for example, a frequency shift of 607cm may be selected
-1The characteristic peak establishes the relationship between the peak intensity and the pesticide concentration, as shown in figure 5. Selecting the position at 607cm
-1And (3) processing a characteristic peak, drawing a standard curve by taking the peak intensity as a vertical coordinate and taking the concentration of the phosmet pesticide as a horizontal coordinate, and obtaining the standard curve with the linear range of 0.5-5mg/L as shown in figure 5, wherein the function relationship is as follows: y ═7123, ln (x) +10612, and the correlation coefficient R2 ═ 0.995, it can be seen that the linear relationship is good, and it can be used for quantitative analysis of imidacloprid pesticide residue in apples.
Although the relationship between the peak intensity of the characteristic peak and the concentration of the pesticide is established in a linear relationship in fig. 5, this is only illustrative, and the relationship between the peak intensity and the concentration of the pesticide may be established in other manners, for example, fitting may be performed in a manner such as a second-order or higher curve, a parabola, or the like, the relationship between the peak intensity of the characteristic peak and the concentration of the pesticide may be established in a tabular manner, or the relationship between the peak intensity of the characteristic peak and the concentration of the pesticide may be established in a functional relationship.
In FIG. 5, the frequency shift is only 607cm
-1The characteristic peak at (b) is explained for example to establish the relationship between the peak intensity of the characteristic peak and the pesticide concentration, but this is only exemplary, and for example, the characteristic peak at other peak positions in fig. 4 may also be selected to establish the relationship between the peak intensity and the pesticide concentration, or the relationship between the peak area and the pesticide concentration may also be established. The extraction of the peak area is more complex than the peak intensity extraction, but may be less affected by noise interference signals.
The pesticide residue detection system provided by the embodiment of the invention provides a way for on-site rapid detection of pesticide residues. Various pretreatment rooms are integrated in the system, so that accurate detection effects can be obtained without large-scale laboratory equipment, and efficient and accurate pesticide residue detection can be realized anytime and anywhere.
Although the present invention has been described in connection with the accompanying drawings, the embodiments disclosed in the drawings are intended to be illustrative of preferred embodiments of the present invention and should not be construed as limiting the invention.
Although a few embodiments of the present general inventive concept have been shown and described, it would be appreciated by those skilled in the art that changes may be made in these embodiments without departing from the principles and spirit of the general inventive concept, the scope of which is defined in the claims and their equivalents.
Claims (10)
1. A pesticide residue detection system based on Raman spectroscopy comprises:
the pretreatment equipment is used for treating the object to be detected into object treatment liquid to be detected;
the optical detection equipment is used for emitting exciting light to the treatment fluid of the object to be detected and collecting Raman scattering light from the treatment fluid of the object to be detected; and
a data processing device for extracting a Raman spectrum from the Raman scattered light and determining whether or not the analyte contains a pesticide residue based on the Raman spectrum, wherein,
the pretreatment apparatus includes a plurality of pretreatment chambers separated by a displaceable partition which is capable of displacing substances in one pretreatment chamber from the one pretreatment chamber to another pretreatment chamber adjacent thereto, the plurality of pretreatment chambers being located at successively lower heights.
2. The pesticide residue detection system as set forth in claim 1, wherein the plurality of pretreatment chambers comprise:
the device comprises a first pretreatment chamber, a second pretreatment chamber and a control device, wherein a mashing part is arranged in the first pretreatment chamber and is used for mashing and homogenizing a to-be-detected object;
a second pretreatment chamber, in which an extraction device is arranged, for extracting a solution from the mashed analyte to form an analyte extraction solution;
the third pretreatment chamber is provided with a purifying material and is used for filtering interference substances from the extract of the object to be detected to form an object to be detected purified liquid; and
and the fourth pretreatment chamber is internally provided with a concentration and solvent conversion device which is used for concentrating the purified liquid of the object to be detected and converting the solvent into ultrapure water.
3. The pesticide residue detection system as set forth in claim 2, wherein the plurality of pre-treatment chambers further comprises:
and a fifth pretreatment chamber, wherein the object purifying liquid treated by the fourth pretreatment chamber is mixed with a Raman spectrum enhancing reagent to form the object treating liquid.
4. The pesticide residue detection system as set forth in claim 3, wherein the pretreatment apparatus further comprises:
the Raman spectrum enhanced reagent preparation chamber is provided with a heater, a stirrer and a centrifugal device and is used for preparing the Raman spectrum enhanced reagent and carrying out concentration treatment.
5. The pesticide residue detection system according to claim 3, wherein the first to fifth pretreatment chambers are located at successively lower heights.
6. The system for detecting pesticide residue according to claim 3, wherein each two adjacent pretreatment chambers in the first to fifth pretreatment chambers are separated by a displaceable partition plate, and the displaceable partition plate is capable of displacing the analyte, the analyte extracting solution or the analyte purifying solution from one pretreatment chamber to another pretreatment chamber adjacent thereto.
7. The pesticide residue detection system as claimed in any one of claims 1 to 6, wherein the data processing device comprises:
a reference raman spectrum library storage unit for storing a reference raman spectrum of the pesticide residue of known composition and concentration;
the Raman spectrum data processing unit is used for performing spectrogram processing on the Raman spectrum extracted from the Raman scattering light so as to improve the accuracy of spectrogram identification;
a pesticide residue component detection unit for extracting a characteristic peak from the Raman spectrum extracted from the Raman scattering light and comparing the peak position of the characteristic peak with a reference Raman spectrum to detect the pesticide residue component in the object to be detected; and
and the pesticide residue concentration detection unit is used for comparing the peak intensity of the characteristic peak with the reference Raman spectrum so as to detect the concentration of the pesticide residue in the object to be detected.
8. The pesticide residue detection system of any one of claims 1 to 6, wherein the pesticide comprises an organophosphate pesticide.
9. The pesticide residue detection system as set forth in any one of claims 1 to 6, further comprising:
a housing for accommodating the preprocessing device, the optical detection device and the data processing device,
the shell is provided with an object to be detected input port and a display screen, the object to be detected input port is used for receiving the object to be detected and sending the object to be detected into the pretreatment equipment, and the display screen is connected with the data processing equipment and used for displaying a pesticide residue detection result.
10. The pesticide residue detection system as claimed in any one of claims 1 to 6, wherein the data processing device further comprises a controller for coordinating and controlling the operation of the pre-processing device and the optical detection device.
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| CN110763533B (en) * | 2019-10-15 | 2023-07-07 | 南京简智仪器设备有限公司 | Pretreatment method suitable for detecting pesticide residues in tobacco through Raman spectrum |
| CN114137122A (en) * | 2021-12-01 | 2022-03-04 | 青岛海关技术中心 | Method for rapidly identifying component content of full-sucrose syrup on customs inspection site |
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| CN103196886A (en) * | 2013-03-20 | 2013-07-10 | 厦门大学 | Detection method of organophosphorus pesticide residues in tea |
| CN103630524A (en) * | 2013-10-10 | 2014-03-12 | 杨建夫 | Intelligent type automatic qualitative and quantitative detection device and method for chemical substances |
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