CN-121998411-A - Food safety detection method based on food contact material control
Abstract
The invention belongs to the technical field of food safety management, in particular to a food safety detection method based on food contact material control, which comprises the steps of identifying potential risk factors, calculating original migration quantity, calibrating migration quantity, judging safety risk and tracing and archiving data; according to the invention, the contact factor identification module is used for identification and detection to avoid manual errors, the migration quantity analysis module accurately calculates the original migration quantity by relying on multiple parameters, the migration quantity calibration module calculates the calibration coefficient aiming at environmental interference and corrects the original migration quantity, the risk threshold judgment module quantifies the risk level coefficient and divides three-level risks, so that the health risk caused by harmful substance migration can be effectively prevented, the data tracing archiving module stores the whole flow data in a classified manner, distributes unique tracing codes and supports inquiry and derivation, the requirement of traceability of supervision is met, scientific support is provided for accurate management and control of enterprise compliance production and supervision departments, the safety line of food contact materials is effectively built, and the food safety is effectively ensured.
Inventors
- QIN XIE
- WANG QIAN
- Kong Suilai
Assignees
- 苏州索泰检测技术服务股份有限公司
Dates
- Publication Date
- 20260508
- Application Date
- 20251230
Claims (10)
- 1. A food safety detection method based on food contact material control, characterized by comprising the steps of: step one, a contact factor identification module identifies potential risk factors contained in a material; Step two, calculating the original migration quantity of the risk factors into the food by a migration quantity analysis module; step three, the migration volume calibration module calibrates the original migration volume through a calibration coefficient; step four, the risk threshold judging module divides the security risk level according to the risk level coefficient; And fifthly, the data tracing archiving module receives the risk judging report, integrates the whole-flow detection data, and performs classified storage, tracing code distribution and tracing inquiry management.
- 2. The food safety inspection method based on food contact material control according to claim 1, wherein the operation process of the contact factor identification module is specifically as follows: The method comprises the steps of transmitting a detection light beam with specific wavelength through a spectrum detection component, collecting a reflected spectrum signal through a spectrum receiver after the light beam penetrates through a material sample, identifying the type of a risk factor contained in the sample through comparison of the spectrum signal and a preset risk factor spectrum database, measuring the thickness parameter of the material sample through a laser ranging principle by a thickness detection component, extracting the sample, measuring the initial concentration of the risk factor in the material through high performance liquid chromatography, integrating the parameters comprising the type of the risk factor, the initial concentration and the thickness of the material into a characteristic parameter data set, and transmitting the characteristic parameter data set to a migration quantity analysis module.
- 3. The food safety detection method based on food contact material control according to claim 2, wherein the migration volume analysis module receives the characteristic parameter data set transmitted by the contact factor identification module, eliminates abnormal data, calls a built-in migration volume calculation model, obtains an original migration volume of the risk factor through calculation, and transmits an original migration volume value to the migration volume calibration module.
- 4. A food safety inspection method based on food contact material control according to claim 3, characterized in that the specific operation of the migration calibration module comprises: The method comprises the steps of receiving an original migration quantity M of a risk factor, starting a built-in environment parameter acquisition component, synchronously acquiring the temperature T, the relative humidity H and the pH value of a food simulation liquid of an actual detection environment, calculating a calibration coefficient alpha through a weighted deviation correction model, calculating a migration quantity M1 after calibration through M1=Mxalpha, and generating a migration quantity calibration report and transmitting the migration quantity calibration report to a risk threshold judgment module after calibration is completed.
- 5. The method for detecting the food safety based on the control of food contact materials according to claim 4, wherein the process of analyzing and calculating the calibration coefficient α is as follows: And quantifying the deviation degree of the actual temperature and the standard temperature, obtaining a temperature deviation coefficient delta T according to the deviation degree of the actual humidity and the standard humidity, obtaining a humidity deviation coefficient delta H according to the deviation degree of the actual pH value and the standard pH value, obtaining a pH value deviation coefficient delta pH according to the deviation degree of the actual pH value and the standard pH value, and substituting the temperature deviation coefficient delta T, the humidity deviation coefficient delta H and the pH value deviation coefficient delta pH into a model to calculate to obtain an alpha value.
- 6. The food safety detection method based on food contact material control of claim 4, wherein the risk threshold determination module operates as follows: The method comprises the steps of calling a built-in national standard database to obtain standard limiting migration quantity M0 of corresponding risk factors, then calling a risk threshold judgment model, substituting M1 and M0 to calculate a risk level coefficient R1, and dividing three-level risk levels according to the R1 value: if R1 is less than or equal to 0.5, judging the risk level to be low, if R1 is less than or equal to 0.5, judging the risk level to be medium, if R1 is more than 1, judging the risk level to be high, and generating a risk judgment report and transmitting the risk judgment report to a data tracing archiving module after the judgment is completed.
- 7. The food safety detection method based on food contact material control according to claim 6, wherein the data tracing archiving module receives risk judgment reports, classifies and analyzes the whole flow data into five categories of sample basic data, characteristic parameter data, original migration data, calibration data and risk judgment data, distributes unique tracing codes for each detection report, realizes quick data positioning through the tracing codes, and stores the classified data into a distributed database and a built-in data tracing inquiry component.
- 8. The food safety detection method based on food contact material control according to claim 7, wherein the risk threshold value determining module and the data tracing archiving module are both in communication connection with the user management control end, and the user management control end, after receiving the risk determination report, recommends prohibiting the use of the food contact material and recalling the related food if the risk level is determined to be high, recommends limiting the use scene and the contact time of the food contact material if the risk level is determined to be medium, and recommends normal use if the risk level is determined to be low.
- 9. The food safety detection method based on food contact material control according to claim 8, wherein the user management control terminal is in communication connection with a reliability hidden danger decision module, the reliability hidden danger decision module analyzes the contact factor identification module before data acquisition, and the reliability hidden danger of the acquired data is analyzed and sent to the user management control terminal when a reliability alarm signal is generated.
- 10. The food safety detection method based on food contact material control according to claim 9, wherein the specific analysis process of the credibility hidden danger decision module is that all detection components related to the contact factor identification module are obtained, if an unreliable component exists, credibility alarm signals are generated, if the unreliable component does not exist, hidden danger feature coefficients of all detection components are subjected to mean value calculation to obtain credibility decision values, and if the credibility decision values exceed a preset credibility decision threshold, credibility alarm signals are generated.
Description
Food safety detection method based on food contact material control Technical Field The invention relates to the technical field of food safety management, in particular to a food safety detection method based on food contact material control. Background The food contact material is used as a core carrier in the links of food production, packaging and storage, the safety is directly related to food quality and public health, and migration risks of plasticizers, heavy metals, additives and other harmful substances in the food are important fields of food safety supervision, but the traditional detection technology still cannot meet the requirements of precision and full-flow control, and has a plurality of outstanding defects, so that the industrial supervision and enterprise compliance production are restricted. The technical scheme of the invention is that a thermal analysis-gas chromatography-mass spectrometry method is adopted to rapidly detect 20 additives in a food contact material so as to solve the problems of complex pretreatment, long period and large organic solvent consumption of the traditional detection method and improve the efficiency of additive detection, but the scheme still has obvious limitations in practical application: On one hand, the detection object is single, full-dimensional risk screening is difficult to realize, original migration quantity is reasonably predicted, parameter interference of the environment is not considered in migration quantity measurement and calculation, a pertinence calibration mechanism is lacked, deviation exists between a detection result and a real migration condition, on the other hand, operation hidden danger of a detection component is not pre-arranged in a detection manner, data reliability is insufficient, migration risk of harmful substances is difficult to prevent from a source, and food safety is not guaranteed. A solution is now proposed for the current situation of the actual technical drawbacks. Disclosure of Invention The invention aims to provide a food safety detection method based on food contact material control so as to solve the current practical technical defect situation. In order to achieve the above purpose, the invention provides a food safety detection method based on food contact material control, which comprises the following steps: Step one, a contact factor identification module collects physical and chemical characteristic parameters of food contact materials and identifies potential risk factors contained in the materials; Step two, a migration quantity analysis module calculates the original migration quantity of the risk factors into the food by constructing a migration quantity calculation model; Step three, a migration volume calibration module calculates a calibration coefficient based on the environmental interference parameter, and the original migration volume is calibrated through the calibration coefficient; step four, a risk threshold judging module calculates a risk level coefficient through a risk threshold judging model, and safety risk levels are divided according to the risk level coefficient to generate a risk judging report; And fifthly, the data tracing archiving module receives the risk judging report, integrates the whole-flow detection data, and performs classified storage, tracing code distribution and tracing inquiry management. Further, the operation process of the contact factor identification module is specifically as follows: Placing a food contact material sample to be detected on a sample detection table, transmitting a detection light beam with a specific wavelength through a spectrum detection assembly, collecting a reflection spectrum signal by a spectrum receiver after the light beam penetrates through the material sample, and identifying the type of risk factors contained in the sample through comparison of the spectrum signal and a preset risk factor spectrum database, wherein the type of risk factors comprises a plasticizer DEHP, heavy metal lead and a fluorescent whitening agent VBL; The thickness detection component measures thickness parameters of a material sample through a laser ranging principle, extracts the sample, measures initial concentration of risk factors in the material through high performance liquid chromatography, integrates parameters including the type of the risk factors, the initial concentration and the thickness of the material into a characteristic parameter data set, and transmits the characteristic parameter data set to the migration volume analysis module. Further, the migration volume analyzing module receives the characteristic parameter data set transmitted by the contact factor identifying module, validates the data set, eliminates abnormal data, calls a built-in migration volume calculating model, calculates related parameters by substituting the model, obtains the original migration volume of the risk factor through calculation, and transmits the original