Data acquisition device for food pesticide residues

Abstract

The invention relates to the field of food pesticide residue detection, and particularly discloses a food pesticide residue data acquisition device, which comprises a shell, a sample pretreatment assembly, a detection module, a data processing module, a communication module and a power supply module, wherein the sample pretreatment assembly comprises a sample inlet bin formed in the shell, a sealing cover plate is slidably mounted on the surface of the shell and located at the top of the sample inlet bin, and a micro motor is fixedly mounted in an inner cavity of the shell and located at the bottom of the sample inlet bin; the data acquisition device for food pesticide residues has the beneficial effects that the miniature crushing blade and the solvent release pipe are integrated in the sample inlet bin, and the micro-fluidic main chip is arranged under the sample inlet bin, so that sample crushing, solvent extraction, mixing, reaction and split-flow detection are automatically completed in a closed system, manual intervention is not needed, and the detection efficiency is improved. The detection efficiency and repeatability are remarkably improved, and cross contamination and operation errors are effectively avoided.

Description

Technical Field

[0001] This application relates to the field of food pesticide residue detection technology, and in particular to a data acquisition device for food pesticide residues. Background Technology

[0002] Currently, the detection of pesticide residues in food mainly relies on large laboratory instruments (such as gas chromatography-mass spectrometry) or portable rapid testing devices. Although laboratory methods are highly accurate, the equipment is expensive, the operation is complex, and the detection cycle is long, which cannot meet the needs of rapid on-site screening.

[0003] However, existing portable detection devices generally suffer from the following problems: 1. Sample pretreatment and detection separation: Most equipment only has detection function. Samples need to be manually ground, extracted and filtered, which is cumbersome, easy to introduce errors and difficult to standardize. 2. Limited detection range and poor compatibility: Typically designed for only one type of pesticide (such as organophosphates), it cannot cover multiple pesticide varieties at the same time and is difficult to adapt to complex residue scenarios; 3. Lack of environmental adaptability: The influence of environmental factors such as temperature, humidity and light on the sensor response is not considered, which leads to drift in the detection results and low reliability. 4. Weak data collection and traceability capabilities: Test results are mostly displayed locally and cannot be automatically linked to time, location, operator and sample information. The data is easily tampered with and difficult to connect to the food safety supervision platform. 5. Difficult sensor maintenance: The sensor unit cannot self-diagnose after aging or drifting, and there is no online calibration mechanism, which affects the accuracy of long-term use.

[0004] Therefore, a data acquisition device for pesticide residues in food is proposed to solve the aforementioned problems. Summary of the Invention

[0005] To address the issues of limited detection capabilities, poor compatibility, and lack of environmental adaptability, this application provides a data acquisition device for pesticide residues in food.

[0006] This application provides a data acquisition device for pesticide residues in food, employing the following technical solution: it includes a shell, a sample pretreatment component, a detection module, a data processing module, a communication module, and a power supply module; wherein, The sample pretreatment assembly includes a sample inlet chamber located inside the housing. A sealing cover is slidably mounted on the surface of the housing and on the top of the sample inlet chamber. A micro motor is fixedly mounted in the inner cavity of the housing and at the bottom of the sample inlet chamber. A micro-crushing blade extending into the sample inlet chamber is fixedly mounted at the output shaft of the micro motor. A solvent bottle is mounted in the inner cavity of the housing and on the side near the sample inlet chamber. A solvent release tube extending into the sample inlet chamber is fixedly mounted at the outlet of the solvent bottle. A microfluidic main chip is mounted inside the housing and directly below the sample inlet chamber. The detection module includes a multimodal sensing array region and an environmental sensing module; the multimodal sensing array region includes an electrochemical three-electrode system, a fluorescent probe chip and an enzyme inhibition biosensing region, which are arranged in parallel and each is connected to the output end of the microfluidic main chip through an independent flow channel; The environmental sensing module includes an SHT45 temperature and humidity sensor, a BMP280 barometric pressure sensor, and a BH1750 light sensor, all of which are fixedly installed in the inner cavity of the housing. The data processing module includes a main control unit and a quick-switch sensor interface; the main control unit consists of an ARM Cortex-M7 microcontroller and an FPGA coprocessor, which are connected via a parallel bus; the quick-switch sensor interface is a magnetic electrical connector with a built-in ID recognition chip, which can be detachably electrically connected to any sensing unit in the multimodal sensing array area. The communication module includes a 4G / NB-IoT communication unit, a national cryptographic SM4 / SM9 encryption chip, and a blockchain SDK operation unit. The 4G / NB-IoT communication unit, the national cryptographic SM4 / SM9 encryption chip, and the blockchain SDK operation unit are electrically connected in sequence and communicate with the main control unit.

[0007] Optionally, the power module includes a rechargeable lithium battery installed in the inner cavity of the housing, a solar charging panel is fixedly installed on the side of the housing, and a charging port is provided on the side of the housing.

[0008] Optionally, a heat dissipation vent is provided on the back of the housing, a touch screen is fixedly mounted on the surface of the housing, a protective cover is hinged to the top of the housing and located on the surface of the touch screen, a handle is fixedly mounted on the front of the housing, and LED status indicator lights are mounted on the side of the housing.

[0009] Optionally, the microfluidic main chip has a rectangular thin-film structure design, and the microfluidic main chip is formed by bonding a bottom PMMA substrate and an upper PDMS microchannel layer. It integrates a piezoelectric micropump, a thermally driven microvalve, a serpentine mixing chamber and a circular reaction cell. The input end of the microfluidic main chip is provided with a vertically upward-extending sample inlet conduit. The upper end of the sample inlet conduit passes through the central hole of the bottom wall of the sample inlet chamber and is directly connected to the bottom of the inner cavity of the sample inlet chamber.

[0010] Optionally, the piezoelectric micropump includes a circular piezoelectric ceramic sheet attached to the upper surface of the PMMA substrate, and a bulge-shaped fluid chamber located in the PDMS microchannel layer corresponding to the position of the piezoelectric ceramic sheet; the thermally driven microvalve includes two parallel gold heating resistance wires embedded in the sidewall of the PDMS microchannel, the heating resistance wires covering a main channel with a width of 100 μm; the serpentine mixing chamber is composed of five straight microchannels connected end to end by semi-circular bends, with a total length of 30 mm; the circular reaction cell has a diameter of 2 mm, and its bottom is provided with three branch outlet microchannels, which are respectively sealed to the inlet of the electrochemical three-electrode system, the fluorescent probe chip, and the enzyme inhibition biosensor area through independent capillary connectors.

[0011] Optionally, a stainless steel filter screen is fixedly installed below the central hole on the bottom wall of the sample inlet chamber.

[0012] Optionally, the micro-crushing blade is a cross-shaped stainless steel blade, with its mounting plane 8 mm away from the bottom wall of the sample inlet chamber, and the nozzle end of the solvent release tube is located 10 mm above the micro-crushing blade and facing the central axis of the sample inlet chamber.

[0013] Optionally, the communication module further includes a GPS positioning module fixedly installed in the inner cavity of the housing, the GPS positioning module being electrically connected to the main control unit.

[0014] Optionally, the enzyme inhibition biosensing region includes an acetylcholinesterase layer immobilized on the surface of an ion-selective electrode, and a pH-sensitive membrane covering the acetylcholinesterase layer.

[0015] Optionally, the main control unit stores a lightweight neural network model consisting of convolutional layers and fully connected layers. The weight parameters of the neural network model are obtained through offline training and are stored in the Flash memory of the ARM Cortex-M7 microcontroller. This model is used to calculate the pesticide residue concentration value after environmental compensation based on the temperature, humidity, air pressure, and light data output by the environmental sensing module and the original electrical signal output by the multimodal sensing array area.

[0016] In summary, this application includes at least one of the following beneficial technical effects: 1. This invention automates the entire process of sample pretreatment and detection. By integrating a micro-crushing blade and a solvent release tube into the sample inlet chamber and placing a microfluidic main chip directly below it, sample crushing, solvent extraction, mixing, reaction, and split detection are automatically completed in a closed system without manual intervention, significantly improving detection efficiency and repeatability, and effectively avoiding cross-contamination and operational errors.

[0017] 2. This invention improves detection accuracy and environmental adaptability; the device has built-in environmental sensors such as temperature, humidity, air pressure, and light, and combines them with a lightweight neural network model embedded in the main control unit to perform real-time environmental compensation for multimodal sensor signals, effectively eliminating the interference of complex on-site environments on detection results and ensuring the reliability and consistency of pesticide residue data.

[0018] 3. This invention ensures data reliability and applicability to multiple scenarios; through a 4G / NB-IoT communication module, a national cryptographic encryption chip, a blockchain SDK, and a GPS positioning module, it realizes automatic binding, encrypted on-chaining, and remote traceability of detection data; at the same time, it adopts a magnetic quick-change sensor interface and a modular sensor head design, which supports flexible configuration for different types of pesticides, taking into account portability, security, and multifunctionality, and is suitable for various on-site detection scenarios such as farmland, markets, and ports. Attached Figure Description

[0019] Figure 1 This is a frontal perspective view of the overall structure of the data acquisition device for pesticide residues in food according to this application; Figure 2 This is a three-dimensional rear view of the overall structure of the data acquisition device for pesticide residues in food according to this application; Figure 3 This is a three-dimensional cross-sectional view of the overall structure of the data acquisition device for pesticide residues in food used in this application; Figure 4 This is a partial structural cross-sectional view of the data acquisition device for pesticide residues in food according to this application; Figure 5 This is a three-dimensional view of the microfluidic main chip structure of this application; Figure 6 This is a schematic diagram of the circuit connection of the data acquisition device for pesticide residues in food used in this application.

[0020] Reference numerals: 1. Outer shell; 2. Sample pretreatment assembly; 21. Sample inlet chamber; 22. Sealing cover; 23. Micro motor; 24. Micro crushing blade; 25. Solvent bottle; 26. Solvent release tube; 27. Microfluidic main chip; 3. Detection module; 4. Data processing module; 5. Communication module; 6. Power module; 61. Rechargeable lithium battery; 62. Solar charging panel; 63. Charging port; 7. Heat dissipation vent; 8. Touch screen; 9. Protective cover; 10. Handle. Detailed Implementation

[0021] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0022] It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings. Unless otherwise specified, the embodiments and features described in this disclosure can be combined with each other.

[0023] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0024] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0025] This disclosure will now be described in detail with reference to the accompanying drawings and embodiments.

[0026] Please see Figures 1-6 As shown in the figure, this application discloses a data acquisition device for pesticide residues in food, including a shell 1, a sample pretreatment component 2, a detection module 3, a data processing module 4, a communication module 5, and a power module 6. A heat dissipation vent 7 is provided on the back of the shell 1, a touch screen 8 is fixedly installed on the surface of the shell 1, a protective cover 9 is hinged to the top of the shell 1 and located on the surface of the touch screen 8, a handle 10 is fixedly installed on the front of the shell 1, and an LED status indicator is installed on the side of the shell 1.

[0027] The sample pretreatment assembly 2 includes a sample inlet chamber 21 located inside the outer shell 1. A sealing cover 22 is slidably installed on the surface of the outer shell 1 and on the top of the sample inlet chamber 21. A micro motor 23 is fixedly installed in the inner cavity of the outer shell 1 and at the bottom of the sample inlet chamber 21. A micro crushing blade 24 extending into the sample inlet chamber 21 is fixedly installed at the output shaft of the micro motor 23. A solvent bottle 25 is installed in the inner cavity of the outer shell 1 and on the side near the sample inlet chamber 21. A solvent release tube 26 extending into the sample inlet chamber 21 is fixedly installed at the outlet of the solvent bottle 25. A microfluidic main chip 27 is installed inside the outer shell 1 and directly below the sample inlet chamber 21. The microfluidic main chip 27 has a rectangular thin-film structure and is formed by bonding a bottom PMMA substrate to an upper PDMS microchannel layer. It integrates a piezoelectric micropump, a thermally driven microvalve, a serpentine mixing chamber, and a circular reaction cell. The input end of the microfluidic main chip 27 has a vertically upward-extending sample inlet conduit. The upper end of the sample inlet conduit passes through the central hole in the bottom wall of the sample inlet chamber 21 and is directly connected to the bottom of the inner cavity of the sample inlet chamber 21. The piezoelectric micropump includes a circular piezoelectric ceramic sheet attached to the upper surface of the PMMA substrate and located in the PDMS microchannel layer. The fluid chamber is a bulge-shaped chamber corresponding to the position of the piezoelectric ceramic sheet; the thermally driven microvalve includes two parallel gold heating resistance wires embedded in the sidewall of the PDMS microchannel, and the heating resistance wires cover a main channel with a width of 100μm; the serpentine mixing chamber is composed of five straight microchannels connected end to end by semi-circular bends, with a total length of 30mm; the circular reaction cell has a diameter of 2mm, and its bottom is provided with three branch outlet microchannels, which are respectively sealed to the sample inlet of the electrochemical three-electrode system, the fluorescent probe chip and the enzyme inhibition biosensor area through independent capillary connectors.

[0028] In this embodiment, when the sample pretreatment component 2 is working, the user places the food sample into the sample inlet chamber 21 and closes the sealing cover 22; the micro motor 23 drives the micro crushing blade 24 to rotate, crushing the sample into a slurry; at the same time, the solvent bottle 25 injects a quantitative extraction solvent into the chamber through the solvent release tube 26 to achieve preliminary mixing of the sample and the solvent; the resulting mixture flows into the sample inlet tube through the central hole of the bottom wall of the sample inlet chamber 21 under the action of gravity, and enters the microfluidic main chip 27 located directly below it.

[0029] By integrating crushing, solvent addition and microfluidic reaction into one unit, the pretreatment is fully automated. The microfluidic main chip 27 is equipped with a piezoelectric micropump, a thermally driven microvalve, a serpentine mixing chamber and a circular reaction pool in sequence, which ensures precise liquid driving, controllable on and off, full mixing and efficient reaction. The three-branch outlet microchannels are connected to different sensors respectively, supporting multimodal synchronous detection, which significantly improves detection efficiency, repeatability and anti-interference ability.

[0030] The detection module 3 includes a multimodal sensing array area and an environmental sensing module. The multimodal sensing array area includes an electrochemical three-electrode system, a fluorescent probe chip, and an enzyme inhibition biosensing area. The three are arranged in parallel and each is connected to the output end of the microfluidic main chip 27 through an independent flow channel. The enzyme inhibition biosensing area includes an acetylcholinesterase layer fixed on the surface of the ion-selective electrode and a pH-sensitive membrane covering the acetylcholinesterase layer. The environmental sensing module includes an SHT45 temperature and humidity sensor, a BMP280 barometric pressure sensor, and a BH1750 light sensor, all of which are fixedly installed in the inner cavity of the housing 1.

[0031] In this embodiment, when the detection module 3 is working, the sample solution that has completed the reaction by the microfluidic main chip 27 flows into the electrochemical three-electrode system, the fluorescent probe chip, and the enzyme inhibition biosensing region through three branch outlet microchannels, respectively. Among them, the enzyme inhibition biosensing region utilizes the acetylcholinesterase layer fixed on the surface of the ion-selective electrode to undergo a specific inhibition reaction with the pesticide, causing a pH change, which is converted into an electrical signal by the pH-sensitive membrane above. At the same time, the electrochemical system and the fluorescent probe chip respectively perform redox response or fluorescence intensity detection on specific pesticide molecules, realizing multi-path parallel recognition.

[0032] The multimodal sensor array can simultaneously cover multiple pesticide varieties such as organophosphates, carbamates, and triazoles, improving the broad spectrum and accuracy of detection. The SHT45 temperature and humidity sensor, BMP280 air pressure sensor, and BH1750 light sensor in the environmental sensing module collect on-site environmental parameters in real time, providing compensation basis for the main control unit, effectively eliminating the interference of temperature, humidity, air pressure, and light fluctuations on the sensor signals, and significantly enhancing the reliability and stability of on-site detection data.

[0033] The data processing module 4 includes a main control unit and a quick-switch sensor interface; the main control unit consists of an ARM Cortex-M7 microcontroller and an FPGA coprocessor, which are connected via a parallel bus; the quick-switch sensor interface is a magnetic electrical connector with a built-in ID identification chip, which can be detachably electrically connected to any sensor unit in the multimodal sensor array area.

[0034] In this embodiment, the main control unit uses an ARM Cortex-M7 microcontroller and an FPGA coprocessor connected via a parallel bus. The ARM Cortex-M7 is responsible for running the lightweight neural network model and system scheduling, while the FPGA coprocessor handles high-speed acquisition and filtering of multiple sensor signals in real time. The two work together to improve data processing efficiency and response speed. The quick-change sensor interface uses a magnetic electrical connector and has a built-in ID recognition chip. When changing sensor units for different pesticide detection types, the device can automatically identify the type of sensor connected and load the corresponding calibration parameters without manual configuration. This improves the ease of operation and ensures detection accuracy, while also supporting modular maintenance and expansion.

[0035] The communication module 5 includes a 4G / NB-IoT communication unit, a national cryptographic SM4 / SM9 encryption chip, and a blockchain SDK operation unit. The 4G / NB-IoT communication unit, the national cryptographic SM4 / SM9 encryption chip, and the blockchain SDK operation unit are electrically connected in sequence and communicate with the main control unit.

[0036] The main control unit stores a lightweight neural network model consisting of convolutional layers and fully connected layers. The weight parameters of the neural network model are obtained through offline training and are stored in the Flash memory of the ARM Cortex-M7 microcontroller. This model is used to calculate the pesticide residue concentration value after environmental compensation based on the temperature, humidity, air pressure and light data output by the environmental sensing module and the raw electrical signal output by the multimodal sensing array area.

[0037] In this embodiment, the 4G / NB-IoT communication unit, the national cryptographic SM4 / SM9 encryption chip, and the blockchain SDK operation unit are electrically connected in sequence to realize the automatic uploading of detection data, national cryptographic-level encryption, and blockchain notarization, ensuring that the data is tamper-proof and traceable, and meeting the requirements of food safety supervision for credible data. The main control unit is equipped with a lightweight neural network model that calculates pesticide residue concentration values ​​after environmental compensation in real time based on temperature, humidity, air pressure, and light data from the environmental sensing module and raw signals from multimodal sensors, significantly improving the accuracy and robustness of on-site detection results.

[0038] In this embodiment, the power module 6 includes a built-in rechargeable lithium battery 61 and an external solar charging panel 62, supporting multiple power supply modes such as mains power, USB and solar power, ensuring that the device can continue to operate in fields, farmers' markets and other scenarios without power grid coverage, effectively improving the environmental adaptability and field operation capability of the equipment.

[0039] The working principle of the data acquisition device for pesticide residues in food includes the following: After the user puts the sample into the sample inlet chamber 21, the micro-crushing blade 24 crushes the sample under the drive of the micro motor 23. The solvent bottle 25 injects the extraction liquid through the solvent release tube 26. The mixture flows into the microfluidic main chip 27 below by gravity. The chip sequentially completes the driving, flow control, mixing and reaction, and is then diverted to three types of sensing units—electrochemical, fluorescence and enzyme inhibition—for parallel detection. The environmental sensing module collects temperature, humidity, air pressure and light data in real time. The main control unit performs environmental compensation on the multimodal sensing signals based on a solidified lightweight neural network model, calculates a high-precision pesticide residue concentration value, and finally achieves secure data upload through national cryptographic encryption and blockchain technology, which is displayed on the touch screen 8. The entire process is powered by a rechargeable lithium battery 61 and solar energy, and is suitable for various field detection scenarios.

[0040] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0041] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A data acquisition device for pesticide residues in food, characterized in that, It includes a housing (1), a sample pretreatment component (2), a detection module (3), a data processing module (4), a communication module (5), and a power supply module (6); among which, The sample pretreatment component (2) includes a sample inlet chamber (21) located inside the outer shell (1). A sealing cover (22) is slidably installed on the surface of the outer shell (1) and on the top of the sample inlet chamber (21). A micro motor (23) is fixedly installed in the inner cavity of the outer shell (1) and at the bottom of the sample inlet chamber (21). A micro crushing blade (24) extending into the sample inlet chamber (21) is fixedly installed at the output shaft of the micro motor (23). A solvent bottle (25) is installed in the inner cavity of the outer shell (1) and on the side close to the sample inlet chamber (21). A solvent release tube (26) extending into the sample inlet chamber (21) is fixedly installed at the outlet of the solvent bottle (25). A microfluidic main chip (27) is installed inside the outer shell (1) and directly below the sample inlet chamber (21). The detection module (3) includes a multimodal sensing array area and an environmental sensing module; the multimodal sensing array area includes an electrochemical three-electrode system, a fluorescent probe chip and an enzyme inhibition biosensing area, which are arranged in parallel and each is connected to the output end of the microfluidic main chip (27) through an independent flow channel. The environmental sensing module includes an SHT45 temperature and humidity sensor, a BMP280 barometric pressure sensor and a BH1750 light sensor, all of which are fixedly installed in the inner cavity of the outer shell (1). The data processing module (4) includes a main control unit and a quick-switch sensor interface; the main control unit is composed of an ARM Cortex-M7 microcontroller and an FPGA coprocessor, and the ARM Cortex-M7 microcontroller and the FPGA coprocessor are connected through a parallel bus; the quick-switch sensor interface is a magnetic electrical connector with a built-in ID recognition chip, and can be detachably electrically connected to any sensing unit in the multimodal sensing array area. The communication module (5) includes a 4G / NB-IoT communication unit, a national cryptographic SM4 / SM9 encryption chip, and a blockchain SDK operation unit. The 4G / NB-IoT communication unit, the national cryptographic SM4 / SM9 encryption chip, and the blockchain SDK operation unit are electrically connected in sequence and communicate with the main control unit.

2. The data acquisition device for pesticide residues in food according to claim 1, characterized in that: The power module (6) includes a rechargeable lithium battery (61) installed in the inner cavity of the outer shell (1), a solar charging panel (62) is fixedly installed on the side of the outer shell (1), and a charging port (63) is opened on the side of the outer shell (1).

3. The data acquisition device for pesticide residues in food according to claim 1, characterized in that: A heat dissipation vent (7) is provided on the back of the outer shell (1). A touch screen (8) is fixedly installed on the surface of the outer shell (1). A protective cover (9) is hinged to the top of the outer shell (1) and on the surface of the touch screen (8). A handle (10) is fixedly installed on the front of the outer shell (1). An LED status indicator is installed on the side of the outer shell (1).

4. The data acquisition device for pesticide residues in food according to claim 1, characterized in that: The microfluidic main chip (27) is designed as a rectangular thin sheet structure, and the microfluidic main chip (27) is formed by bonding the bottom PMMA substrate and the upper PDMS microchannel layer. It integrates a piezoelectric micropump, a thermally driven microvalve, a serpentine mixing chamber and a circular reaction cell. The input end of the microfluidic main chip (27) is provided with a vertically upward extending sample inlet tube. The upper end of the sample inlet tube passes through the center hole of the bottom wall of the sample inlet chamber (21) and is directly connected to the bottom of the inner cavity of the sample inlet chamber (21).

5. The data acquisition device for pesticide residues in food according to claim 4, characterized in that: The piezoelectric micropump includes a circular piezoelectric ceramic sheet attached to the upper surface of a PMMA substrate, and a bulge-shaped fluid chamber located in the PDMS microchannel layer corresponding to the position of the piezoelectric ceramic sheet; the thermally driven microvalve includes two parallel gold heating resistance wires embedded in the sidewall of the PDMS microchannel, the heating resistance wires covering a main channel with a width of 100 μm; the serpentine mixing chamber is composed of five straight microchannels connected end to end by semi-circular bends, with a total length of 30 mm; the circular reaction cell has a diameter of 2 mm, and its bottom is provided with three branch outlet microchannels, which are respectively sealed to the sample inlet of the electrochemical three-electrode system, the fluorescent probe chip, and the enzyme inhibition biosensor area through independent capillary connectors.

6. The data acquisition device for pesticide residues in food according to claim 1, characterized in that: A stainless steel filter screen is fixedly installed below the central hole on the bottom wall of the sample inlet chamber (21).

7. The data acquisition device for pesticide residues in food according to claim 1, characterized in that: The micro-crushing blade (24) is a cross-shaped stainless steel blade. Its mounting plane is 8 mm away from the bottom wall of the sample inlet chamber (21). The nozzle end of the solvent release tube (26) is located 10 mm above the micro-crushing blade (24) and faces the central axis of the sample inlet chamber (21).

8. The data acquisition device for pesticide residues in food according to claim 1, characterized in that: The communication module (5) also includes a GPS positioning module fixedly installed in the inner cavity of the outer shell (1), and the GPS positioning module is electrically connected to the main control unit.

9. The data acquisition device for pesticide residues in food according to claim 1, characterized in that: The enzyme inhibition biosensing region includes an acetylcholinesterase layer fixed on the surface of the ion-selective electrode, and a pH-sensitive membrane covering the acetylcholinesterase layer.

10. A data acquisition device for pesticide residues in food according to claim 1, characterized in that: The main control unit stores a lightweight neural network model consisting of convolutional layers and fully connected layers. The weight parameters of the neural network model are obtained through offline training and are stored in the Flash memory of the ARM Cortex-M7 microcontroller. It is used to calculate the pesticide residue concentration value after environmental compensation based on the temperature, humidity, air pressure and light data output by the environmental perception module and the original electrical signal output by the multimodal sensing array area.

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