Food safety detection method and food safety detection system

Abstract

The invention relates to the technical field of food detection, and discloses a food safety detection method and a food safety detection system. Each collected sample is pretreated; extracting bioactive substances from the pretreated sample to obtain a bioactive substance solution; adding dehydroacetic acid and a sodium salt standard solution thereof into the bioactive substance solution to obtain a target mixed solution; detecting the target mixed solution, and extracting feature data in the target mixed solution; inputting the extracted characteristic data into a dehydroacetic acid and sodium salt prediction model, and outputting to obtain the predicted content of dehydroacetic acid and sodium salt in each sample; according to the method, the predicted contents of the dehydroacetic acid and the sodium salt of the dehydroacetic acid corresponding to the plurality of samples are processed, the content of the dehydroacetic acid and the sodium salt of the food to be detected is obtained, if the content of the dehydroacetic acid and the sodium salt of the food to be detected exceeds the content threshold value of the dehydroacetic acid and the sodium salt, early warning is given out, and the method is simple, rapid and high in precision.

Description

Technical Field

[0001] The present invention relates to the technical field of food detection, and in particular to a food safety detection method and a food safety detection system. Background Art

[0002] Food preservatives, also known as antimicrobial agents, can directly or indirectly act on the proteins, genetic material, enzymes, etc. of microorganisms to interfere with the growth, reproduction, and metabolism of microorganisms, thereby effectively slowing down food spoilage, extending the shelf life of food, enhancing economic benefits, and reducing food poisoning caused by the growth and reproduction of microorganisms. Food preservatives can be divided into bactericides and antibacterial agents according to their effects, and can be divided into chemical preservatives and natural preservatives (also known as biological preservatives) according to their components and sources. Chemical preservatives can be further divided into three types: acid preservatives, ester preservatives, and inorganic salt preservatives. At present, the chemical preservatives for food use are benzoic acid and its salts, sorbic acid and its salts, dehydroacetic acid and its sodium salt, and parabens (parabens).

[0003] With the increasing number of food preservatives, the abuse of food preservatives is common in the market. The use of various preservatives is regulated by formulating GB2760-2014 "National Food Safety Standard Food Additives Usage Standard". The current national standards and industry standards also introduce a series of detection methods for different preservatives in different food matrix components. Since dehydroacetic acid and its sodium salt are toxic to the human body, the large-scale use of such preservatives can easily cause harm to the human body. Therefore, the content of dehydroacetic acid and its sodium salt in food must be monitored daily.

[0004] The detection of food preservatives is currently carried out by mass spectrometry, which can be gas chromatography-mass chromatography and liquid chromatography-mass chromatography. There are more than twenty food preservatives approved for use, and the use of preservatives has always been strictly controlled. Therefore, it is necessary to study new progress in the detection of dehydroacetic acid and its sodium salt in food.

[0005] Based on this, a food safety detection method and a food safety detection system are proposed. Summary of the invention

[0006] The object of the present invention is to provide a food safety detection method, comprising the following steps:

[0007] Collecting a plurality of samples to be tested from the food to be tested, and pre-treating each of the collected samples respectively;

[0008] extracting bioactive substances from the pretreated samples to obtain a bioactive substance solution;

[0009] adding a standard solution of dehydroacetic acid and its sodium salt to a solution of the biologically active substance to obtain a target mixed solution;

[0010] Detecting the target mixed solution by liquid chromatography-tandem mass spectrometry to extract characteristic data in the target mixed solution;

[0011] Among them, the characteristic data include mass spectrum and chromatographic peak area;

[0012] The extracted characteristic data are input into a prediction model for dehydroacetic acid and its sodium salt, and the predicted content of dehydroacetic acid and its sodium salt in each sample is output;

[0013] The predicted contents of dehydroacetic acid and its sodium salt corresponding to multiple samples are processed to obtain the content of dehydroacetic acid and its sodium salt in the food to be tested. If the content of dehydroacetic acid and its sodium salt in the food to be tested exceeds the threshold value of the content of dehydroacetic acid and its sodium salt, an early warning is issued.

[0014] As a further solution of the present invention: The construction process of the prediction model of dehydroacetic acid and its sodium salt is specifically as follows:

[0015] Use deep learning frameworks to build convolutional neural network models;

[0016] A large number of chromatographic peak area images with different dehydroacetic acid and its sodium salt contents are collected, and the dehydroacetic acid and its sodium salt content corresponding to each chromatographic peak area image are marked to form a data set, and the model is trained through the data set;

[0017] During the training process, the model parameters are continuously adjusted to minimize the error between the predicted dehydroacetic acid and its sodium salt content and the actual value.

[0018] As a further solution of the present invention: the trained model is applied to each chromatographic peak area image, and the predicted content of dehydroacetic acid and its sodium salt corresponding to each chromatographic peak area image is output.

[0019] As a further solution of the present invention: the process of obtaining the dehydroacetic acid and sodium salt content of the food to be tested is:

[0020] The predicted content of dehydroacetic acid and its sodium salt in each sample is recorded as Ts i, where i is the number of samples, i=1, 2, ..., Ts i;

[0021] The predicted contents of dehydroacetic acid and its sodium salt of all samples are sorted out to obtain the dehydroacetic acid and its sodium salt content groups Ts1, Ts2, Ts3, ..., Ts i of the food to be tested;

[0022] The dehydroacetic acid and sodium salt content groups of the food to be tested are processed according to the variance calculation formula to obtain the variance value of the dehydroacetic acid and sodium salt content groups of the food to be tested;

[0023] If the variance value of the dehydroacetic acid and its sodium salt content group of the food to be tested is less than the variance threshold of the dehydroacetic acid and its sodium salt content group of the food to be tested, the dehydroacetic acid and its sodium salt content group of the food to be tested is processed according to the mean calculation formula to obtain the dehydroacetic acid and its sodium salt content of the food to be tested.

[0024] As a further solution of the present invention: if the variance value of the dehydroacetic acid and its sodium salt content group of the food to be tested is greater than or equal to the variance threshold value of the dehydroacetic acid and its sodium salt content group of the food to be tested, then the standard deviation value Tsa of the dehydroacetic acid and its sodium salt content group of the food to be tested is calculated;

[0025] If the standard deviation value Tsa of the dehydroacetic acid and its sodium salt content group of the food to be tested is greater than or equal to the preset standard deviation value Tsy, the maximum value and / or minimum value in the dehydroacetic acid and its sodium salt content group data of the food to be tested is deleted, and the standard deviation value Tsa of the dehydroacetic acid and its sodium salt content group data of the food to be tested is calculated again until Tsa is less than the preset standard deviation value Tsy, and the remaining data in the dehydroacetic acid and its sodium salt content group of the food to be tested are summed and averaged to obtain the dehydroacetic acid and sodium salt content of the food to be tested.

[0026] As a further solution of the present invention: during the extraction process of the bioactive substance solution, the extraction state data of the bioactive substance solution is adjusted online;

[0027] Constructing an actual time-temperature curve of extraction according to the extraction temperature variation data and the extraction time variation data during the extraction process;

[0028] The actual time-temperature curve extracted is compared with the standard time-temperature curve extracted to achieve online adjustment of the temperature corresponding to the time.

[0029] As a further solution of the present invention: during the extraction process, the actual extraction time-temperature curve is compared with the extraction standard time-temperature curve;

[0030] and obtaining the extraction standard temperature in the extraction standard time-temperature curve corresponding to the actual extraction time point;

[0031] If the real-time extraction temperature is greater than the standard extraction temperature, the extraction temperature is lowered;

[0032] If the real-time extraction temperature is lower than the standard extraction temperature, increase the extraction temperature.

[0033] As a further solution of the present invention: obtaining dynamically adjusted data of the dynamic adjustment during the extraction process of the bioactive substance solution;

[0034] Dynamic adjustment data includes regional deviation ratio, extreme deviation ratio and trend anomaly ratio

[0035] The dynamically adjusted regional deviation ratio is denoted as Dy;

[0036] The dynamically adjusted limit deviation ratio is recorded as Dx;

[0037] The dynamically adjusted trend anomaly ratio is denoted as Ds;

[0038] The dynamically adjusted base Di is calculated.

[0039] As a further solution of the present invention: if the dynamic adjustment base D i≤dynamic adjustment base threshold di, the adjustment effect of the extraction temperature and extraction time during the extraction process is good;

[0040] If the dynamic adjustment base D i> the dynamic adjustment base threshold di, the adjustment effect of the extraction temperature and the extraction time during the extraction process is poor.

[0041] As a further solution of the present invention: a food safety detection system, comprising:

[0042] A sample collection module, which collects a plurality of samples to be tested from the food to be tested and pre-processes each sample collected;

[0043] A sample extraction module, which extracts bioactive substances from the pretreated sample to obtain a bioactive substance solution;

[0044] A sample processing module, wherein the sample processing module adds a standard solution of dehydroacetic acid and its sodium salt to a solution of a biologically active substance to obtain a target mixed solution;

[0045] A sample analysis module, which detects the target mixed solution by liquid chromatography-tandem mass spectrometry and extracts characteristic data from the target mixed solution;

[0046] Among them, the characteristic data include mass spectrum and chromatographic peak area;

[0047] The extracted characteristic data are input into a prediction model for dehydroacetic acid and its sodium salt, and the predicted content of dehydroacetic acid and its sodium salt in each sample is output;

[0048] The sample identification module processes the predicted contents of dehydroacetic acid and its sodium salt corresponding to multiple samples to obtain the dehydroacetic acid and its sodium salt content of the food to be tested, and issues an early warning if the dehydroacetic acid and its sodium salt content of the food to be tested exceeds the dehydroacetic acid and its sodium salt content threshold.

[0049] Beneficial effects of the present invention:

[0050] (1) The present invention trains a prediction model for dehydroacetic acid and its sodium salt, inputs characteristic data represented by the sample to be tested into the prediction model for dehydroacetic acid and its sodium salt for training, thereby being able to efficiently and quickly obtain the predicted content of dehydroacetic acid and its sodium salt in the sample to be tested, and then processes the predicted content of dehydroacetic acid and its sodium salt in multiple samples, thereby completing the identification of the content of dehydroacetic acid and its sodium salt in the food to be tested, with high accuracy;

[0051] (2) In the process of extracting the bioactive substance solution, the present invention adjusts the extraction status data of the bioactive substance solution online, constructs an actual extraction time-temperature curve according to the extraction temperature change data and the extraction time change data during the extraction of the bioactive substance solution, and compares the actual extraction time-temperature curve with the standard extraction time-temperature curve in real time, thereby completing the real-time adjustment of the temperature during the extraction of the bioactive substance solution and improving the extraction quality of the bioactive substance solution. 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 a food safety detection method according to an embodiment of the present invention;

[0054] Figure 2 It is a flow chart of extracting and identifying adjustment effects in a food safety detection method according to an embodiment of the present invention;

[0055] Figure 3 It is a flowchart of a food safety detection system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0056] 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.

[0057] The working principle of GC-MS is to separate the components in the mixture by the high resolution of gas chromatography, and then use the high sensitivity of mass spectrometry to perform accurate qualitative analysis on each component.

[0058] GC-MS is a powerful analytical instrument that combines the separation capability of gas chromatography (GC) and the identification capability of mass spectrometry (MS), and plays an important role in qualitative analysis.

[0059] The gas chromatography part mainly uses the difference in the distribution coefficient between the stationary phase and the mobile phase to separate different substances. After the sample is vaporized, it enters the chromatographic column under the push of the carrier gas (such as helium, nitrogen, etc.). The chromatographic column is filled with a stationary phase, and different compounds will pass through the chromatographic column at different speeds.

[0060] The compounds separated by gas chromatography enter the mass spectrometer in turn. The working principle of the mass spectrometer is to ionize the molecules of the compound and then separate and detect them according to the mass-to-charge ratio (m / z) of the ions.

[0061] When the compounds flow out of the gas chromatography column and enter the mass spectrometer, the mass spectrometer will record the mass spectrum of each compound. This mass spectrum is like the "fingerprint" of the compound. The obtained mass spectrum is compared with the standard mass spectrum library of known compounds (such as the NI ST library, etc.). The computer software will calculate the similarity score, and when the similarity reaches a certain level (usually above a certain matching threshold), the type of compound can be determined. At the same time, based on the fragment ion information in the mass spectrum, the structure of the compound can be further verified, especially for the distinction of some isomers and other compounds with similar structures.

[0062] Gas chromatography-mass spectrometry (GC-MS) is a method of analyzing the chemical compounds in a complex mixture by combining the separation of gas chromatography and the identification of mass spectrometry.

[0063] Example 1

[0064] See also Figure 1 As shown, the present invention is a food safety detection method, comprising the following steps:

[0065] Collecting a plurality of samples to be tested from the food to be tested, and pre-treating each of the collected samples respectively;

[0066] extracting bioactive substances from the pretreated samples to obtain a bioactive substance solution;

[0067] adding a standard solution of dehydroacetic acid and its sodium salt to a solution of the biologically active substance to obtain a target mixed solution;

[0068] Detecting the target mixed solution by liquid chromatography-tandem mass spectrometry to extract characteristic data in the target mixed solution;

[0069] Among them, the characteristic data include mass spectrum and chromatographic peak area;

[0070] The extracted characteristic data are input into a prediction model for dehydroacetic acid and its sodium salt, and the predicted content of dehydroacetic acid and its sodium salt in each sample is output;

[0071] The predicted contents of dehydroacetic acid and its sodium salt corresponding to multiple samples are processed to obtain the content of dehydroacetic acid and its sodium salt in the food to be tested. If the content of dehydroacetic acid and its sodium salt in the food to be tested exceeds the threshold value of the content of dehydroacetic acid and its sodium salt, an early warning is issued.

[0072] Among them, for samples collected from the food to be tested for testing, the sampling tools should be clean and uncontaminated, and the sampling process should follow the principle of aseptic operation to avoid sample contamination or chemical reactions.

[0073] Preferably, the pretreatment of the sample includes but is not limited to removal of impurities and homogenization.

[0074] Preferably, the extraction of the bioactive substance is determined based on the solubility of dehydroacetic acid and its sodium salt and the characteristics of the sample, including but not limited to solvent extraction and ultrasonic extraction;

[0075] Preferably, in this embodiment, the chromatographic peak area is used as the training object, and the construction process of the prediction model of dehydroacetic acid and its sodium salt is specifically as follows:

[0076] Use deep learning frameworks to build convolutional neural network models;

[0077] A large number of chromatographic peak area images with different dehydroacetic acid and its sodium salt contents are collected, and the dehydroacetic acid and its sodium salt content corresponding to each chromatographic peak area image are marked to form a data set, and the model is trained through the data set;

[0078] During the training process, the model parameters are continuously adjusted to minimize the error between the predicted content of dehydroacetic acid and its sodium salt and the actual value.

[0079] Preferably, in this embodiment, the chromatographic peak area image corresponding to each sample is input into the prediction model of dehydroacetic acid and its sodium salt;

[0080] The trained model is applied to each chromatographic peak area image, and the predicted content of dehydroacetic acid and its sodium salt corresponding to each chromatographic peak area image is output.

[0081] The process of obtaining the dehydroacetic acid and its sodium salt content of the food to be tested is as follows:

[0082] The predicted content of dehydroacetic acid and its sodium salt in each sample is recorded as Ts i, where i is the number of samples, i=1, 2, ..., Ts i;

[0083] The predicted contents of dehydroacetic acid and its sodium salt of all samples are sorted out to obtain the dehydroacetic acid and its sodium salt content groups Ts1, Ts2, Ts3, ..., Ts i of the food to be tested;

[0084] The dehydroacetic acid and sodium salt content groups of the food to be tested are processed according to the variance calculation formula to obtain the variance value of the dehydroacetic acid and sodium salt content groups of the food to be tested;

[0085] Compare the variance value of the dehydroacetic acid and sodium salt content group of the food to be tested with the variance threshold of the dehydroacetic acid and sodium salt content group of the food to be tested;

[0086] If the variance value of the dehydroacetic acid and its sodium salt content group of the food to be tested is less than the variance threshold of the dehydroacetic acid and its sodium salt content group of the food to be tested, the dehydroacetic acid and its sodium salt content group of the food to be tested is processed according to the mean calculation formula to obtain the dehydroacetic acid and its sodium salt content of the food to be tested;

[0087] If the variance value of the dehydroacetic acid and its sodium salt content group of the food to be tested is greater than or equal to the variance threshold of the dehydroacetic acid and its sodium salt content group of the food to be tested, then according to the formula Calculate the standard deviation value Tsa of the dehydroacetic acid and its sodium salt content group of the food to be tested, where Tsp is the average value of the dehydroacetic acid and its sodium salt content groups Ts1, Ts2, Ts3, ...., Tsn;

[0088] If the standard deviation value Tsa of the dehydroacetic acid and its sodium salt content group of the food to be tested is greater than or equal to the preset standard deviation value Tsy, the maximum value and / or minimum value in the dehydroacetic acid and its sodium salt content group data of the food to be tested is deleted, and the standard deviation value Tsa of the dehydroacetic acid and its sodium salt content group data of the food to be tested is calculated again until Tsa is less than the preset standard deviation value Tsy, and the remaining data in the dehydroacetic acid and its sodium salt content group of the food to be tested are summed and averaged to obtain the dehydroacetic acid and sodium salt content of the food to be tested.

[0089] Example 2

[0090] During the extraction process of the bioactive substance solution, the extraction state data of the bioactive substance solution is adjusted online. The specific process is as follows:

[0091] The extraction state data includes extraction temperature variation data and extraction time variation data during the extraction process of the bioactive substance solution;

[0092] Establish a plane coordinate system, with the X-axis representing the extraction time and the Y-axis representing the extraction temperature;

[0093] Constructing and extracting the standard time-temperature curve and the actual time-temperature curve in the plane coordinate system;

[0094] Among them, the process of obtaining the standard time-temperature curve is as follows:

[0095] Obtaining the extraction standard temperature corresponding to the extraction standard time of the bioactive substance solution, establishing a binary linear function based on the extraction standard time and the extraction standard temperature, that is, taking the extraction standard time as the independent variable and the extraction standard temperature as the dependent variable, and establishing an extraction standard time-temperature curve based on the extraction standard time and the extraction standard temperature;

[0096] Among them, the process of extracting the actual time-temperature curve is:

[0097] Plot the actual extraction time and the actual extraction temperature corresponding to the actual extraction time in a plane coordinate system;

[0098] Connect all points with a smooth curve along the time sequence to extract the actual time-temperature curve;

[0099] During the extraction process, the actual extraction time-temperature curve is compared with the standard extraction time-temperature curve, that is, the standard extraction time-temperature curve is used as a reference to obtain the actual extraction temperature corresponding to the actual extraction time in the actual extraction time-temperature curve;

[0100] and obtaining the extraction standard temperature in the extraction standard time-temperature curve corresponding to the actual extraction time point;

[0101] And make the real-time extraction temperature corresponding to the actual extraction time point close to the standard extraction temperature, specifically:

[0102] If the real-time extraction temperature is greater than the standard extraction temperature, the extraction temperature is lowered;

[0103] If the real-time extraction temperature is lower than the standard extraction temperature, increase the extraction temperature;

[0104] The value of lowering or raising the extraction temperature is the difference between the actual extraction time-temperature curve and the standard extraction time-temperature curve at the actual extraction time point, thereby completing dynamic adjustment during the extraction process of the bioactive substance solution.

[0105] Preferably, during the dynamic adjustment process of the bioactive substance solution extraction, the adjustment result of the bioactive substance solution extraction is identified;

[0106] In the plane coordinate system, the two ends of the actual time-temperature curve are respectively connected vertically with the two ends of the standard time-temperature curve to obtain a closed time-temperature closed graph;

[0107] Obtaining the area value of the non-overlapping area in the time-temperature closed graph, calculating the ratio of the obtained area value of the non-overlapping area to the area threshold of the non-overlapping area, and obtaining the dynamically adjusted area deviation ratio;

[0108] Among them, the area threshold of the non-overlapping area is set by the staff based on experience;

[0109] The maximum spacing value corresponding to the actual time-temperature curve extracted from the closed time-temperature closed graph and the standard time-temperature curve extracted is obtained, and the ratio of the maximum spacing value to the spacing threshold is calculated to obtain the dynamically adjusted limit deviation ratio;

[0110] Among them, the spacing threshold is set by the staff based on experience;

[0111] The actual extraction time is divided into several time nodes, and the temperature deviation value corresponding to the actual extraction time-temperature curve and the standard extraction time-temperature curve corresponding to each time node is obtained;

[0112] If the temperature deviation value is greater than or equal to the temperature deviation threshold, the time node is recorded as an abnormal node;

[0113] If the temperature deviation value is less than the temperature deviation threshold, the time node is recorded as a normal node;

[0114] Obtain the number of abnormal nodes, calculate the ratio of the number of abnormal nodes to the number of time nodes, and obtain a dynamically adjusted trend anomaly ratio;

[0115] The dynamically adjusted regional deviation ratio is denoted as Dy;

[0116] The dynamically adjusted limit deviation ratio is recorded as Dx;

[0117] The dynamically adjusted trend anomaly ratio is denoted as Ds;

[0118] Calculated by formula The dynamic adjustment base D i is obtained, wherein γ is a preset proportional coefficient and γ>0, d1, d2, and d3 are all preset proportional coefficients, and d1, d2, and d3 are not equal to zero, d1 is 0.65, d2 is 0.69, and d3 is 0.47.

[0119] See also Figure 2 , if the dynamic adjustment base D i≤dynamic adjustment base threshold di, then the adjustment effect of extraction temperature and extraction time during the extraction process is good;

[0120] If the dynamic adjustment base D i> the dynamic adjustment base threshold di, the adjustment effect of the extraction temperature and extraction time during the extraction process is poor;

[0121] This completes the online identification of whether the sample extraction is effective, discards samples with poor adjustment effects, and further ensures the accuracy of the detection of dehydroacetic acid and its sodium salt content in the food to be tested.

[0122] Example 3

[0123] See also Figure 3 As shown, the present invention is a food safety detection system, comprising:

[0124] A sample collection module, which collects a plurality of samples to be tested from the food to be tested and pre-processes each sample collected;

[0125] A sample extraction module, which extracts bioactive substances from the pretreated sample to obtain a bioactive substance solution;

[0126] A sample processing module, wherein the sample processing module adds a standard solution of dehydroacetic acid and its sodium salt to a solution of a biologically active substance to obtain a target mixed solution;

[0127] A sample analysis module, which detects the target mixed solution by liquid chromatography-tandem mass spectrometry and extracts characteristic data from the target mixed solution;

[0128] Among them, the characteristic data include mass spectrum and chromatographic peak area;

[0129] The extracted characteristic data are input into a prediction model for dehydroacetic acid and its sodium salt, and the predicted content of dehydroacetic acid and its sodium salt in each sample is output;

[0130] The sample identification module processes the predicted contents of dehydroacetic acid and its sodium salt corresponding to multiple samples to obtain the dehydroacetic acid and its sodium salt content of the food to be tested, and issues an early warning if the dehydroacetic acid and its sodium salt content of the food to be tested exceeds the dehydroacetic acid and its sodium salt content threshold.

[0131] 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 food safety monitoring method, characterized in that: The following steps are involved: Collecting a plurality of samples to be tested from the food to be tested, and pre-treating each of the collected samples respectively; extracting bioactive substances from the pretreated samples to obtain a bioactive substance solution; adding a standard solution of dehydroacetic acid and its sodium salt to a solution of the biologically active substance to obtain a target mixed solution; Detecting the target mixed solution by liquid chromatography-tandem mass spectrometry to extract characteristic data in the target mixed solution; Among them, the characteristic data include mass spectrum and chromatographic peak area; The extracted characteristic data are input into a prediction model for dehydroacetic acid and its sodium salt, and the predicted content of dehydroacetic acid and its sodium salt in each sample is output; The predicted contents of dehydroacetic acid and its sodium salt corresponding to multiple samples are processed to obtain the content of dehydroacetic acid and its sodium salt in the food to be tested. If the content of dehydroacetic acid and its sodium salt in the food to be tested exceeds the threshold value of the content of dehydroacetic acid and its sodium salt, an early warning is issued.

2. A food safety monitoring method according to claim 1, characterized in that: The construction process of the prediction model of dehydroacetic acid and its sodium salt is as follows: Use deep learning frameworks to build convolutional neural network models; A large number of chromatographic peak area images with different dehydroacetic acid and its sodium salt contents are collected, and the dehydroacetic acid and its sodium salt content corresponding to each chromatographic peak area image are marked to form a data set, and the model is trained through the data set; During the training process, the model parameters are continuously adjusted to minimize the error between the predicted dehydroacetic acid and its sodium salt content and the actual value.

3. A food safety monitoring method according to claim 2, characterized in that: The trained model is applied to each chromatographic peak area image, and the predicted content of dehydroacetic acid and its sodium salt corresponding to each chromatographic peak area image is output.

4. A food safety detection method according to claim 1, characterized in that: The process of obtaining the dehydroacetic acid and its sodium salt content of the food to be tested is as follows: The predicted content of dehydroacetic acid and its sodium salt in each sample is recorded as Ts i, where i is the number of samples, i=1, 2, ..., Ts i; The predicted contents of dehydroacetic acid and its sodium salt of all samples are sorted out to obtain the dehydroacetic acid and its sodium salt content groups Ts1, Ts2, Ts3, ..., Ts i of the food to be tested; The dehydroacetic acid and sodium salt content groups of the food to be tested are processed according to the variance calculation formula to obtain the variance value of the dehydroacetic acid and sodium salt content groups of the food to be tested; If the variance value of the dehydroacetic acid and its sodium salt content group of the food to be tested is less than the variance threshold of the dehydroacetic acid and its sodium salt content group of the food to be tested, the dehydroacetic acid and its sodium salt content group of the food to be tested is processed according to the mean calculation formula to obtain the dehydroacetic acid and its sodium salt content of the food to be tested.

5. A food safety detection method according to claim 4, characterized in that: If the variance value of the dehydroacetic acid and its sodium salt content group of the food to be tested is greater than or equal to the variance threshold of the dehydroacetic acid and its sodium salt content group of the food to be tested, the standard deviation value Tsa of the dehydroacetic acid and its sodium salt content group of the food to be tested is calculated; If the standard deviation value Tsa of the dehydroacetic acid and its sodium salt content group of the food to be tested is greater than or equal to the preset standard deviation value Tsy, the maximum value and / or minimum value in the dehydroacetic acid and its sodium salt content group data of the food to be tested is deleted, and the standard deviation value Tsa of the dehydroacetic acid and its sodium salt content group data of the food to be tested is calculated again until Tsa is less than the preset standard deviation value Tsy, and the remaining data in the dehydroacetic acid and its sodium salt content group of the food to be tested are summed and averaged to obtain the dehydroacetic acid and sodium salt content of the food to be tested.

6. A food safety monitoring method according to claim 1, characterized in that: During the extraction process of the bioactive substance solution, the extraction state data of the bioactive substance solution is adjusted online; Constructing an actual time-temperature curve of extraction according to the extraction temperature variation data and the extraction time variation data during the extraction process; The actual time-temperature curve extracted is compared with the standard time-temperature curve extracted to achieve online adjustment of the temperature corresponding to the time.

7. A food safety monitoring method according to claim 6, characterized in that: During the extraction process, the actual extraction time-temperature curve is compared with the standard extraction time-temperature curve; and obtaining the extraction standard temperature in the extraction standard time-temperature curve corresponding to the actual extraction time point; If the real-time extraction temperature is greater than the standard extraction temperature, the extraction temperature is lowered; If the real-time extraction temperature is lower than the standard extraction temperature, increase the extraction temperature.

8. A food safety monitoring method according to claim 7, characterized in that: Obtaining dynamic adjustment data of dynamic adjustment during extraction of bioactive substance solution; Dynamic adjustment data includes regional deviation ratio, extreme deviation ratio and trend anomaly ratio The dynamically adjusted regional deviation ratio is denoted as Dy; The dynamically adjusted limit deviation ratio is recorded as Dx; The dynamically adjusted trend anomaly ratio is denoted as Ds; The dynamic adjustment base Di is calculated.

9. A food safety monitoring method according to claim 8, characterized in that: If the dynamic adjustment base Di ≤ the dynamic adjustment base threshold di, the adjustment effect of the extraction temperature and extraction time during the extraction process is good; If the dynamic adjustment base D i> the dynamic adjustment base threshold di, the adjustment effect of the extraction temperature and the extraction time during the extraction process is poor.

10. A food safety monitoring system, characterized in that: include: A sample collection module, which collects a plurality of samples to be tested from the food to be tested and pre-processes each sample collected; A sample extraction module, which extracts bioactive substances from the pretreated sample to obtain a bioactive substance solution; A sample processing module, wherein the sample processing module adds a standard solution of dehydroacetic acid and its sodium salt to a solution of a biologically active substance to obtain a target mixed solution; A sample analysis module, which detects the target mixed solution by liquid chromatography-tandem mass spectrometry and extracts characteristic data from the target mixed solution; Among them, the characteristic data include mass spectrum and chromatographic peak area; The extracted characteristic data are input into a prediction model for dehydroacetic acid and its sodium salt, and the predicted content of dehydroacetic acid and its sodium salt in each sample is output; The sample identification module processes the predicted contents of dehydroacetic acid and its sodium salt corresponding to multiple samples to obtain the dehydroacetic acid and its sodium salt content of the food to be tested, and issues an early warning if the dehydroacetic acid and its sodium salt content of the food to be tested exceeds the dehydroacetic acid and its sodium salt content threshold.

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