A rapid detection method for organophosphorus pesticide residues in vegetables

Abstract

The invention relates to the technical field of pesticide residue detection, and specifically discloses a rapid detection method for organophosphorus pesticide residues in vegetables, comprising: during a digestion process, real-time monitoring of a digestion instrument is performed to determine whether the digestion instrument has abnormal fluctuations within a target period; analyzing a solution after digestion to determine whether a digestion result is qualified; analyzing the correlation between a fluctuation parameter of the digestion instrument and a parameter of the solution after digestion; analyzing the correlation between a target control parameter and a parameter of the solution after digestion; predicting a target control parameter for ensuring a qualified digestion result according to the correlation between the fluctuation parameter of the digestion instrument and the parameter of the solution after digestion and the correlation between the target control parameter and the parameter of the solution after digestion; and realizing precise control of the digestion result, by controlling the target control parameter, ensuring that the parameter of the solution after digestion reaches an expected standard, thereby improving the stability of the digestion process and the accuracy of the result.

Description

Technical Field

[0001] The invention relates to the technical field of pesticide residue detection, and in particular to a method for quickly detecting organophosphorus pesticide residues in vegetables. Background Art

[0002] Organophosphorus pesticides refer to organic compound pesticides containing phosphorus, which are mainly used to prevent and control plant diseases, insects and weeds. They are mostly oily liquids with a garlic smell, strong volatility, slightly soluble in water, and destroyed by alkali. In actual applications, high-efficiency, low-toxicity and low-residue varieties should be selected. Their widespread use in agricultural production has led to varying degrees of residues in crops. The harm of organophosphorus pesticides to the human body is mainly acute toxicity, which often occurs after large doses or repeated exposure. A series of neurological poisoning symptoms will appear, such as sweating, tremors, mental confusion, speech disorders, and in severe cases, respiratory paralysis and even death.

[0003] Chinese invention patent publication number CN1546988A discloses a method for determining the residual amount of organophosphorus pesticides in fruits and vegetables. The method comprises extracting and purifying the organophosphorus pesticides with an organic solvent, adding a potassium persulfate solution, and sealing and digesting the solution. The orthophosphate concentration in the digested solution is determined by the molybdenum antimony spectrophotometry, thereby calculating the total residual amount of organophosphorus pesticides in the fruit and vegetable samples.

[0004] However, traditional technologies lack effective monitoring of digestion instruments and are unable to promptly detect and resolve abnormal instrument fluctuations, which in turn affects the stability of the digestion process and the accuracy of the results. Traditional technologies often lack in-depth analysis and optimization methods for digestion process data and are unable to establish a correlation model between instrument fluctuation parameters, post-digestion solution parameters, and target control parameters, making it impossible to achieve precise control and optimization of digestion results. Summary of the invention

[0005] The purpose of the present invention is to provide a method for rapid detection of organophosphorus pesticide residues in vegetables to solve the technical problems in the above background.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A rapid detection method for organophosphorus pesticide residues in vegetables, comprising: extraction, purification, concentration, digestion, and determination;

[0008] The digestion process is analyzed to optimize the digestion process. The specific steps are as follows:

[0009] Step 1: During the digestion process, the digestion instrument is monitored in real time to determine whether the digestion instrument has abnormal fluctuations within the target period;

[0010] Step 2: Analyze the digested solution to determine whether the digestion result is qualified;

[0011] Step 3: Conduct multiple experiments on the digestion process to analyze the correlation between the fluctuation parameters of the digestion instrument and the parameters of the solution after digestion;

[0012] Step 4: Conduct multiple experiments on the digestion process to analyze the relationship between the target control parameters and the post-digestion solution parameters;

[0013] Step 5: According to the correlation between the fluctuation parameters of the digestion instrument and the parameters of the solution after digestion, and the correlation between the target control parameters and the parameters of the solution after digestion, the target control parameters are predicted to ensure the qualified digestion results;

[0014] According to the relationship between the fluctuation parameters of the digestion instrument and the parameters of the post-digestion solution, and the relationship between the target control parameters and the parameters of the post-digestion solution, the formula can be obtained when the post-digestion solution parameter RY is fixed: k1×XJ+b1=k2×MB+b2, that is, This formula is expressed as the target control parameter MB for predicting the fixed post-digestion solution parameter RY by digesting the instrument fluctuation parameter XJ.

[0015] As a further solution of the present invention: the method for judging whether the digestion instrument has abnormal fluctuation within the target period is:

[0016] A1: Monitor the digestion instrument and obtain the digestion instrument data within the target period;

[0017] Among them, the digestion instrument data includes: power supply fluctuation characterization value, heating element fluctuation characterization value;

[0018] A2: Based on the digestion instrument data obtained, calculate and obtain the digestion instrument fluctuation parameter XJ;

[0019] A3: Compare and analyze the fluctuation parameters of the digestion instrument to determine whether the digestion instrument has abnormal fluctuations within the target period.

[0020] As a further solution of the present invention: the method for obtaining the power supply fluctuation characterization value is:

[0021] A11: Monitor the power supply voltage of the digestion instrument in real time to obtain the power supply voltage of the digestion instrument within the target period;

[0022] A coordinate system is constructed with time as the X-axis and power supply voltage as the Y-axis, and a power supply voltage fluctuation curve is drawn according to the power supply voltage of the digestion instrument obtained in real time. At the same time, the average power supply voltage in the target period is calculated, and a straight line parallel to the X-axis is drawn, which is represented as the average power supply voltage;

[0023] The area of ​​the region enclosed by the power supply voltage fluctuation curve and the average power supply voltage straight line is obtained, and the ratio of the area to the power supply voltage area threshold is the power supply fluctuation characterization value, and the power supply fluctuation characterization value is marked as DY.

[0024] As a further solution of the present invention: the method for obtaining the fluctuation characterization value of the heating element is:

[0025] A12: Monitor the working status of the heating element of the digestion instrument in real time to obtain the temperature of the heating element of the digestion instrument within the target cycle;

[0026] A coordinate system is constructed with time as the X-axis and the heating element temperature as the Y-axis, and a heating element temperature fluctuation curve is drawn according to the real-time obtained heating element temperature. At the same time, the average heating element temperature in the target period is calculated, and a straight line parallel to the X-axis is drawn, which represents the average heating element temperature;

[0027] The area of ​​the region enclosed by the heating element temperature fluctuation curve and the average heating element temperature straight line is obtained, and the ratio of the area to the heating element temperature area threshold is the heating element fluctuation characterization value, and the heating element fluctuation characterization value is marked as JR.

[0028] As a further solution of the present invention: the digestion instrument fluctuation threshold is preset as YZ, and the digestion instrument fluctuation parameter XJ is compared and analyzed with the digestion instrument fluctuation threshold YZ;

[0029] If the digestion instrument fluctuation parameter XJ is less than the digestion instrument fluctuation threshold YZ, it means that the digestion instrument has not experienced large or continuous fluctuations within the target period, that is, it is determined that the digestion instrument has not experienced abnormal fluctuations within the target period;

[0030] If the digestion instrument fluctuation parameter XJ≥the digestion instrument fluctuation threshold YZ, it means that the digestion instrument has a large or continuous fluctuation within the target period, that is, it is determined that the digestion instrument has an abnormal fluctuation within the target period.

[0031] As a further solution of the present invention: the method for determining whether the digestion result is qualified is:

[0032] B1: Detect the digested solution and obtain the digested solution data;

[0033] Among them, the data of the solution after digestion include: appearance characterization value, residue characterization value;

[0034] B2: Calculate the post-digestion solution parameter RY based on the post-digestion solution data;

[0035] B3: Compare and analyze the parameters of the solution after digestion to determine whether the digestion results are qualified.

[0036] As a further solution of the present invention: the method for obtaining the solution data after digestion is:

[0037] B11: A laser transmitter is set on one side of the digested solution, and a laser receiver is set on the other side. A light source of fixed intensity is emitted to the digested solution through the laser transmitter, and the intensity of the consumed light is received by the laser receiver. The difference between the received light intensity and the preset light intensity is calculated. The ratio of the calculated difference to the light intensity threshold is the appearance characterization value, and the appearance characterization value is marked as WG;

[0038] B12: Detect the target residue content in the digestion solution to obtain the target residue content. The ratio of the target residue content to the target residue content threshold is the residue characterization value, and the residue characterization value is marked as CL.

[0039] As a further solution of the present invention: the post-digestion solution parameter threshold is preset as RZ, and the post-digestion solution parameter RY is compared and analyzed with the post-digestion solution parameter threshold RZ;

[0040] If the post-digestion solution parameter RY < the post-digestion solution parameter threshold RZ, the digestion result is judged to be qualified;

[0041] If the post-digestion solution parameter RY ≥ the post-digestion solution parameter threshold RZ, the digestion result is judged to be unqualified.

[0042] As a further solution of the present invention: the method for analyzing the correlation between the fluctuation parameters of the digestion instrument and the parameters of the solution after digestion is:

[0043] Under different digestion instrument fluctuation parameter conditions, the digestion process is experimented for many times to obtain the post-digestion solution parameters under different digestion instrument fluctuation parameter conditions, and the digestion instrument fluctuation parameters and post-digestion solution parameters of each experiment are packaged into a set of coordinate points;

[0044] A coordinate system is constructed with the digestion instrument fluctuation parameter XJ as the X-axis and the digestion solution parameter RY as the Y-axis, and a digestion instrument fluctuation parameter analysis coordinate diagram is drawn according to all coordinate points, and a fitting straight line of the coordinate diagram is drawn by the least squares method, and the fitting straight line equation is obtained: RY=k1×XJ+b1, wherein k1 represents the slope of the fitting straight line, b1 represents the intercept of the fitting straight line, and k1 and b1 are both constants. The fitting straight line equation: RY=k1×XJ+b1 represents the correlation between the digestion instrument fluctuation parameter and the digestion solution parameter.

[0045] As a further solution of the present invention: the method for analyzing the correlation between the target control parameter and the post-digestion solution parameter is:

[0046] Under different target control parameter conditions, the digestion process is experimented for many times to obtain the parameters of the digested solution under different target control parameter conditions, and the target control parameters and the parameters of the digested solution after each experiment are packaged into a set of coordinate points;

[0047] The target control parameter is marked as MB, and a coordinate system is constructed with the target control parameter MB as the X-axis and the digestion solution parameter RY as the Y-axis. According to all the coordinate points, a target control parameter analysis coordinate diagram is drawn, and the fitting straight line of the coordinate diagram is drawn by the least squares method, and the fitting straight line equation is obtained: RY=k2×MB+b2, wherein k2 represents the slope of the fitting straight line, b2 represents the intercept of the fitting straight line, and k2 and b2 are both constants. The fitting straight line equation: RY=k2×MB+b2 represents the correlation between the target control parameter and the digestion solution parameter.

[0048] Beneficial effects of the present invention:

[0049] (1) The present invention can timely detect abnormal fluctuations of the instrument by real-time monitoring of the status of the digestion instrument, thereby avoiding digestion failure or inaccurate results caused by instrument problems during the digestion process;

[0050] (2) The present invention can comprehensively evaluate the effect of the digestion result by testing the appearance and residue of the solution after digestion, and ensure that the digestion result meets the preset standard;

[0051] (3) The present invention predicts the target control parameters to ensure qualified digestion results by analyzing the correlation between the fluctuation parameters of the digestion instrument and the parameters of the solution after digestion, as well as the correlation between the target control parameters and the parameters of the solution after digestion, thereby achieving precise control of the digestion results. By controlling the target control parameters, it can be ensured that the parameters of the solution after digestion meet the expected standards, thereby improving the stability of the digestion process and the accuracy of the results. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The present invention will be further described below in conjunction with the accompanying drawings.

[0053] Figure 1 is a flow chart of the method of the present invention;

[0054] Figure 2 It is a flow chart of a method for judging whether a digestion instrument has abnormal fluctuations within a target period in the present invention;

[0055] Figure 3 It is a flow chart of the method for determining whether the digestion result is qualified in the present invention;

[0056] Figure 4 It is a schematic diagram of the system of the present invention. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] Embodiment 1:

[0059] See also Figure 1 - Figure 3 As shown, a rapid detection method for organophosphorus pesticide residues in vegetables according to an embodiment of the present invention comprises the following steps:

[0060] Extraction: Chop or mince the vegetable sample to be tested, weigh an appropriate amount of the sample into a centrifuge tube, add anhydrous sodium sulfate and an organic solvent, and perform extraction operation;

[0061] Wherein, the organic solvent is: acetone, ethyl acetate, dichloromethane;

[0062] Purification: Add anhydrous sodium sulfate and activated carbon to the centrifuge tube containing the extract, shake and let stand, then absorb the upper solution, filter to remove the activated carbon suspended in the solution, and collect the filtrate;

[0063] Concentration: Place the digestion tube containing the filtrate in a water bath at a certain temperature, and blow away the solvent in the tube with nitrogen or air to achieve concentration of the filtrate;

[0064] Digestion: Add potassium persulfate solution to the digestion tube, seal it and place it on a digestion instrument for heating and digestion to convert all organophosphorus pesticides into orthophosphate;

[0065] The purpose of the digestion process is to completely convert the organophosphorus pesticides into orthophosphates, so that the residual amount of the organophosphorus pesticides can be estimated by measuring the phosphorus concentration. If the digestion is incomplete or there is an error in the digestion process, the phosphorus concentration measured later will be affected, which will in turn affect the accuracy of the final calculated organophosphorus pesticide residues. Therefore, during the digestion process, it is necessary to ensure the completeness and accuracy of the digestion;

[0066] The digestion process is analyzed to optimize the digestion process. The specific steps are as follows:

[0067] Step 1: During the digestion process, the digestion instrument is monitored in real time to determine whether the digestion instrument has abnormal fluctuations within the target period. By real-time monitoring of the status of the digestion instrument, abnormal fluctuations of the instrument can be discovered in time to avoid digestion failure or inaccurate results caused by instrument problems during the digestion process;

[0068] Among them, digestion instruments include: electric heating digestion instrument, microwave digestion instrument;

[0069] Target cycles include: 10 minutes, 30 minutes;

[0070] A1: Monitor the digestion instrument and obtain the digestion instrument data within the target period;

[0071] Among them, the digestion instrument data includes: power supply fluctuation characterization value, heating element fluctuation characterization value. According to the power supply fluctuation characterization value and the heating element fluctuation characterization value, it can be accurately judged whether the digestion instrument has abnormal fluctuation, providing data support for the subsequent digestion process optimization;

[0072] A11: Monitor the power supply voltage of the digestion instrument in real time to obtain the power supply voltage of the digestion instrument within the target period;

[0073] A coordinate system is constructed with time as the X-axis and power supply voltage as the Y-axis, and a power supply voltage fluctuation curve is drawn according to the power supply voltage of the digestion instrument obtained in real time. At the same time, the average power supply voltage in the target period is calculated, and a straight line parallel to the X-axis is drawn, which is represented as the average power supply voltage;

[0074] The area of ​​the region enclosed by the power supply voltage fluctuation curve and the average power supply voltage straight line is obtained, and the ratio of the area to the power supply voltage area threshold is the power supply fluctuation characterization value, and the power supply fluctuation characterization value is marked as DY;

[0075] A12: Monitor the working status of the heating element of the digestion instrument in real time to obtain the temperature of the heating element of the digestion instrument within the target cycle;

[0076] A coordinate system is constructed with time as the X-axis and the heating element temperature as the Y-axis, and a heating element temperature fluctuation curve is drawn according to the real-time obtained heating element temperature. At the same time, the average heating element temperature in the target period is calculated, and a straight line parallel to the X-axis is drawn, which represents the average heating element temperature;

[0077] Obtain the area of ​​the area enclosed by the heating element temperature fluctuation curve and the average heating element temperature straight line, the ratio of the area to the heating element temperature area threshold is the heating element fluctuation characterization value, and the heating element fluctuation characterization value is marked as JR;

[0078] A2: Based on the digestion instrument data obtained, the fluctuation parameters of the digestion instrument are calculated. By calculating the fluctuation parameters, the fluctuation of the digestion instrument can be quantified, providing a specific numerical basis for the subsequent abnormal fluctuation judgment;

[0079] The power supply fluctuation characteristic value DY and the heating element fluctuation characteristic value JR are processed by the formula: Calculate and obtain the digestion instrument fluctuation parameter XJ, where a1 and a2 are preset proportional factors and are both greater than 0;

[0080] A3: Compare and analyze the fluctuation parameters of the digestion instrument to determine whether the digestion instrument has abnormal fluctuations within the target period. Through comparative analysis, it is possible to accurately determine whether the digestion instrument has abnormal fluctuations, thereby facilitating timely discovery and resolution of fluctuation problems of the digestion instrument and ensuring the stability of the digestion process.

[0081] The digestion instrument fluctuation threshold is preset as YZ, and the digestion instrument fluctuation parameter XJ is compared and analyzed with the digestion instrument fluctuation threshold YZ;

[0082] If the digestion instrument fluctuation parameter XJ is less than the digestion instrument fluctuation threshold YZ, it means that the digestion instrument has not experienced large or continuous fluctuations within the target period, that is, it is determined that the digestion instrument has not experienced abnormal fluctuations within the target period, and the smaller the value of the digestion instrument fluctuation parameter XJ, the lower the fluctuation.

[0083] If the digestion instrument fluctuation parameter XJ ≥ the digestion instrument fluctuation threshold YZ, it means that the digestion instrument has a large or continuous fluctuation in the target period, that is, it is determined that the digestion instrument has abnormal fluctuation in the target period, and the larger the value of the digestion instrument fluctuation parameter XJ, the higher the fluctuation;

[0084] Step 2: Analyze the digested solution to determine whether the digestion result is qualified;

[0085] B1: Test the digested solution, obtain the digested solution data, fully understand the quality of the digested solution, and provide data support for the subsequent digestion result qualification judgment;

[0086] Among them, the data of the solution after digestion include: appearance characterization value, residue characterization value;

[0087] B11: A laser transmitter is set on one side of the digested solution, and a laser receiver is set on the other side. A light source of fixed intensity is emitted to the digested solution through the laser transmitter, and the intensity of the consumed light is received by the laser receiver. The difference between the received light intensity and the preset light intensity is calculated. The ratio of the calculated difference to the light intensity threshold is the appearance characterization value, and the appearance characterization value is marked as WG;

[0088] The preset light intensity is: the light intensity received by the laser receiver when the solution is clear and transparent;

[0089] Laser technology can be used to obtain the appearance information of the solution in a non-contact manner and accurately evaluate the appearance quality of the solution after digestion;

[0090] B12: Detect the target residue content in the digestion solution to obtain the target residue content. The ratio of the target residue content to the target residue content threshold is the residue characterization value, and the residue characterization value is marked as CL;

[0091] Among them, target residues include: organophosphorus pesticides, organophosphorus pesticide metabolites;

[0092] B2: Calculate the parameters of the post-digestion solution based on the post-digestion solution data. By calculating the parameters, the quality of the post-digestion solution can be comprehensively evaluated, providing quantitative indicators for the subsequent digestion result qualification judgment;

[0093] Perform data processing on the appearance characterization value WG and the residue characterization value CL;

[0094] By formula: Calculate and obtain the solution parameter RY after digestion, where b1 and b2 are preset ratio parameters and are both greater than 0;

[0095] B3: Compare and analyze the parameters of the digested solution to determine whether the digestion results are qualified. Through comparative analysis, it can be determined whether the digestion results meet the preset standards, providing direction for the optimization of the digestion results;

[0096] The post-digestion solution parameter threshold is preset as RZ, and the post-digestion solution parameter RY is compared and analyzed with the post-digestion solution parameter threshold RZ;

[0097] If the post-digestion solution parameter RY is less than the post-digestion solution parameter threshold RZ, the digestion result is judged to be qualified, and the smaller the value of the post-digestion solution parameter RY is, the higher the degree of qualification of the digestion result is;

[0098] If the post-digestion solution parameter RY ≥ the post-digestion solution parameter threshold RZ, the digestion result is judged to be unqualified, and the larger the value of the post-digestion solution parameter RY is, the higher the degree of unqualified digestion result is;

[0099] Step 3: Conduct multiple experiments on the digestion process to analyze the correlation between the fluctuation parameters of the digestion instrument and the parameters of the solution after digestion, reveal the intrinsic connection between the fluctuation of the digestion instrument and the digestion results, and provide a theoretical basis for optimizing the digestion results by controlling the fluctuation of the digestion instrument;

[0100] Under different digestion instrument fluctuation parameter conditions, the digestion process is experimented for many times to obtain the post-digestion solution parameters under different digestion instrument fluctuation parameter conditions, and the digestion instrument fluctuation parameters and post-digestion solution parameters of each experiment are packaged into a set of coordinate points;

[0101] A coordinate system is constructed with the digestion instrument fluctuation parameter XJ as the X-axis and the post-digestion solution parameter RY as the Y-axis, and a digestion instrument fluctuation parameter analysis coordinate diagram is drawn according to all coordinate points, and a fitting straight line of the coordinate diagram is drawn by the least squares method, and the fitting straight line equation is obtained: RY=k1×XJ+b1, wherein k1 represents the slope of the fitting straight line, b1 represents the intercept of the fitting straight line, and k1 and b1 are both constants. The fitting straight line equation: RY=k1×XJ+b1 represents the correlation between the digestion instrument fluctuation parameter and the post-digestion solution parameter. The fitting straight line equation constructed based on the experimental data can predict the post-digestion solution parameters under different digestion instrument fluctuation parameters, and provide guidance for optimizing the digestion process;

[0102] Step 4: Conduct multiple experiments on the digestion process to analyze the relationship between the target control parameters and the parameters of the digestion solution, clarify the impact of the target control parameters on the digestion results, and provide guidance for optimizing the digestion results by adjusting the target control parameters;

[0103] Among them, the target control parameters include: digestion temperature, digestion time, and amount of digestion solution;

[0104] Under different target control parameter conditions, the digestion process is experimented for many times to obtain the parameters of the digested solution under different target control parameter conditions, and the target control parameters and the parameters of the digested solution after each experiment are packaged into a set of coordinate points;

[0105] The target control parameter is marked as MB, and a coordinate system is constructed with the target control parameter MB as the X-axis and the digestion solution parameter RY as the Y-axis. According to all the coordinate points, a target control parameter analysis coordinate diagram is drawn, and a fitting straight line of the coordinate diagram is drawn by the least squares method, and the fitting straight line equation is obtained: RY = k2 × MB + b2, wherein k2 represents the slope of the fitting straight line, b2 represents the intercept of the fitting straight line, and k2 and b2 are both constants. The fitting straight line equation: RY = k2 × MB + b2 represents the correlation between the target control parameter and the digestion solution parameter. The fitting straight line equation constructed based on the experimental data can predict the digestion solution parameters under different target control parameters, and provide guidance for optimizing the digestion process.

[0106] Step 5: According to the correlation between the fluctuation parameters of the digestion instrument and the parameters of the post-digestion solution, and the correlation between the target control parameters and the parameters of the post-digestion solution, the target control parameters to ensure the qualified digestion results are predicted to achieve precise control of the digestion results. By controlling the target control parameters, it can be ensured that the parameters of the post-digestion solution meet the expected standards, thereby improving the stability of the digestion process and the accuracy of the results;

[0107] According to the relationship between the fluctuation parameters of the digestion instrument and the parameters of the post-digestion solution, and the relationship between the target control parameters and the parameters of the post-digestion solution, the formula can be obtained when the post-digestion solution parameter RY is fixed: k1×XJ+b1=k2×MB+b2, that is, This formula is expressed as predicting the target control parameter MB of the fixed post-digestion solution parameter RY by digesting the instrument fluctuation parameter XJ, thereby achieving the effect of controlling the post-digestion solution parameter RY by controlling the target control parameter MB, that is, controlling the digestion result;

[0108] Determination: The concentration of phosphorus in the digested solution was determined by the molybdenum antimony spectrophotometry, and the total residue of organophosphorus pesticides in the vegetable samples was calculated according to the preset formula.

[0109] Embodiment 2:

[0110] Based on Example 1, please refer to Figure 4 As shown, a rapid detection system for organophosphorus pesticide residues in vegetables according to an embodiment of the present invention comprises:

[0111] The instrument fluctuation analysis module is used to monitor the digestion instrument in real time during the digestion process, so as to determine whether the digestion instrument has abnormal fluctuations within the target period;

[0112] The digestion result analysis module is used to analyze the digested solution to determine whether the digestion result is qualified;

[0113] The first correlation analysis module is used to conduct multiple experiments on the digestion process, so as to analyze the correlation between the fluctuation parameters of the digestion instrument and the parameters of the solution after digestion;

[0114] The second correlation analysis module is used to conduct multiple experiments on the digestion process, so as to analyze the correlation between the target control parameters and the post-digestion solution parameters;

[0115] The parameter prediction module is used to predict the target control parameters to ensure the qualified digestion results according to the correlation between the fluctuation parameters of the digestion instrument and the parameters of the solution after digestion and the correlation between the target control parameters and the parameters of the solution after digestion.

[0116] The above thresholds are set for the convenience of comparison. The thresholds depend on the amount of sample data and the number of bases set by technicians in this field for each set of sample data.

[0117] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The factors in the formula are set by technicians in this field according to actual conditions; for example: Formula A technician in this field collects multiple groups of digestion instrument data and sets corresponding digestion instrument fluctuation parameters for each group of digestion instrument data; substitutes the set digestion instrument fluctuation parameters and the collected digestion instrument data into the formula, any three formulas constitute a three-variable linear equation system, and the calculated factors are screened and averaged to obtain the values ​​of a1 and a2, which are 2.25 and 2.43 respectively;

[0118] The size of the factor is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the factor depends on the amount of digestion instrument data and the preliminary setting of the corresponding digestion instrument fluctuation parameters for each set of digestion instrument data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantified value, such as the digestion instrument fluctuation parameter is proportional to the value of the power supply fluctuation characterization value.

[0119] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A rapid detection method for organophosphorus pesticide residues in vegetables, characterized in that: include: Extraction, purification, concentration, digestion, and determination; The digestion process is analyzed to optimize the digestion process. The specific steps are as follows: Step 1: During the digestion process, the digestion instrument is monitored in real time to determine whether the digestion instrument has abnormal fluctuations within the target period; Step 2: Analyze the digested solution to determine whether the digestion result is qualified; Step 3: Conduct multiple experiments on the digestion process to analyze the correlation between the fluctuation parameters of the digestion instrument and the parameters of the solution after digestion; Step 4: Conduct multiple experiments on the digestion process to analyze the relationship between the target control parameters and the post-digestion solution parameters; Step 5: According to the correlation between the fluctuation parameters of the digestion instrument and the parameters of the solution after digestion, and the correlation between the target control parameters and the parameters of the solution after digestion, the target control parameters are predicted to ensure the qualified digestion results; According to the relationship between the fluctuation parameters of the digestion instrument and the parameters of the post-digestion solution, and the relationship between the target control parameters and the parameters of the post-digestion solution, the formula can be obtained when the post-digestion solution parameter RY is fixed: k1×XJ+b1=k2×MB+b2, that is, This formula is expressed as predicting the target control parameter MB of the fixed post-digestion solution parameter RY by digestion instrument fluctuation parameter XJ; The method for determining whether the digestion instrument has abnormal fluctuations within the target period is: A1: Monitor the digestion instrument and obtain the digestion instrument data within the target period; Among them, the digestion instrument data includes: power supply fluctuation characterization value, heating element fluctuation characterization value; A2: Based on the digestion instrument data obtained, calculate the digestion instrument fluctuation parameter XJ; process the power supply fluctuation characterization value DY and the heating element fluctuation characterization value JR, and use the formula: Calculate and obtain the digestion instrument fluctuation parameter XJ, where a1 and a2 are preset proportional factors and are both greater than 0; A3: Compare and analyze the fluctuation parameters of the digestion instrument to determine whether the digestion instrument has abnormal fluctuations within the target period; The method for obtaining the power supply fluctuation characterization value is: A11: Monitor the power supply voltage of the digestion instrument in real time to obtain the power supply voltage of the digestion instrument within the target period; A coordinate system is constructed with time as the X-axis and power supply voltage as the Y-axis, and a power supply voltage fluctuation curve is drawn according to the power supply voltage of the digestion instrument obtained in real time. At the same time, the average power supply voltage in the target period is calculated, and a straight line parallel to the X-axis is drawn, which is represented as the average power supply voltage; The area of ​​the region enclosed by the power supply voltage fluctuation curve and the average power supply voltage straight line is obtained, and the ratio of the area to the power supply voltage area threshold is the power supply fluctuation characterization value, and the power supply fluctuation characterization value is marked as DY; The method for obtaining the fluctuation characterization value of the heating element is: A12: Monitor the working status of the heating element of the digestion instrument in real time to obtain the temperature of the heating element of the digestion instrument within the target cycle; A coordinate system is constructed with time as the X-axis and the heating element temperature as the Y-axis, and a heating element temperature fluctuation curve is drawn according to the real-time obtained heating element temperature. At the same time, the average heating element temperature in the target period is calculated, and a straight line parallel to the X-axis is drawn, which represents the average heating element temperature; Obtain the area of ​​the area enclosed by the heating element temperature fluctuation curve and the average heating element temperature straight line, the ratio of the area to the heating element temperature area threshold is the heating element fluctuation characterization value, and the heating element fluctuation characterization value is marked as JR; The method for determining whether the digestion result is qualified is: B1: Detect the digested solution and obtain the digested solution data; Among them, the data of the solution after digestion include: appearance characterization value, residue characterization value; B2: Calculate the post-digestion solution parameter RY based on the post-digestion solution data; process the appearance characterization value WG and the residue characterization value CL; By formula: Calculate and obtain the solution parameter RY after digestion, where b1 and b2 are preset ratio parameters and are both greater than 0; B3: Compare and analyze the parameters of the solution after digestion to determine whether the digestion result is qualified; The method for obtaining the digestion solution data is: B11: A laser transmitter is set on one side of the digested solution, and a laser receiver is set on the other side. A light source of fixed intensity is emitted to the digested solution through the laser transmitter, and the intensity of the consumed light is received by the laser receiver. The difference between the received light intensity and the preset light intensity is calculated. The ratio of the calculated difference to the light intensity threshold is the appearance characterization value, and the appearance characterization value is marked as WG; B12: Detect the target residue content in the digestion solution to obtain the target residue content. The ratio of the target residue content to the target residue content threshold is the residue characterization value, and the residue characterization value is marked as CL; The post-digestion solution parameter threshold is preset as RZ, and the post-digestion solution parameter RY is compared and analyzed with the post-digestion solution parameter threshold RZ; If the post-digestion solution parameter RY < the post-digestion solution parameter threshold RZ, the digestion result is judged to be qualified; If the post-digestion solution parameter RY ≥ the post-digestion solution parameter threshold RZ, the digestion result is judged to be unqualified; The method for analyzing the correlation between the fluctuation parameters of the digestion instrument and the parameters of the solution after digestion is: Under different digestion instrument fluctuation parameter conditions, the digestion process is experimented for many times to obtain the post-digestion solution parameters under different digestion instrument fluctuation parameter conditions, and the digestion instrument fluctuation parameters and post-digestion solution parameters of each experiment are packaged into a set of coordinate points; A coordinate system is constructed with the digestion instrument fluctuation parameter XJ as the X-axis and the digestion solution parameter RY as the Y-axis, and a digestion instrument fluctuation parameter analysis coordinate diagram is drawn according to all coordinate points, and a fitting straight line of the coordinate diagram is drawn by the least squares method, and the fitting straight line equation is obtained: RY=k1×XJ+b1, wherein k1 represents the slope of the fitting straight line, b1 represents the intercept of the fitting straight line, and k1 and b1 are both constants. The fitting straight line equation: RY=k1×XJ+b1 represents the correlation between the digestion instrument fluctuation parameter and the digestion solution parameter; The method for analyzing the association between the target control parameters and the post-digestion solution parameters is: Under different target control parameter conditions, the digestion process is experimented for many times to obtain the parameters of the digested solution under different target control parameter conditions, and the target control parameters and the parameters of the digested solution after each experiment are packaged into a set of coordinate points; The target control parameter is marked as MB, and a coordinate system is constructed with the target control parameter MB as the X-axis and the digestion solution parameter RY as the Y-axis. According to all the coordinate points, a target control parameter analysis coordinate diagram is drawn, and the fitting straight line of the coordinate diagram is drawn by the least squares method, and the fitting straight line equation is obtained: RY=k2×MB+b2, wherein k2 represents the slope of the fitting straight line, b2 represents the intercept of the fitting straight line, and k2 and b2 are both constants. The fitting straight line equation: RY=k2×MB+b2 represents the correlation between the target control parameter and the digestion solution parameter.

2. The method for rapid detection of organophosphorus pesticide residues in vegetables according to claim 1, characterized in that: The digestion instrument fluctuation threshold is preset as YZ, and the digestion instrument fluctuation parameter XJ is compared and analyzed with the digestion instrument fluctuation threshold YZ; If the digestion instrument fluctuation parameter XJ is less than the digestion instrument fluctuation threshold YZ, it means that the digestion instrument has not experienced large or continuous fluctuations within the target period, that is, it is determined that the digestion instrument has not experienced abnormal fluctuations within the target period; If the digestion instrument fluctuation parameter XJ≥the digestion instrument fluctuation threshold YZ, it means that the digestion instrument has a large or continuous fluctuation within the target period, that is, it is determined that the digestion instrument has an abnormal fluctuation within the target period.

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