The Study On The Migration And Regularity Of Phenols In Metal Containers For Food

The metal containers for food contact with food, but phenols in packaging can migrate into food and lead to potential food safety problems. Phenolic compounds in metal containers for food mainly include free phenol, BADGE and its derivatives, which are significantly damage to human body health and have been confirmed as hazardous chemicals by EU. Therefore, it is of great significance and application value to carry out the study on the migration of metal containers for food. Free phenol defined in international standard and BADGE and its derivatives defined in EU laws serve as the research objects in the study on detection and migration of risk factors in the text. The UPLC analysis method was established,and the migration behavior and migration regularity of free phenol in different food simulants and different sterilization processes were studied. Migration regularity and migration model of BADGE and its derivatives were studied in the view of the coated cans and coated can uesd for beer.Firstly, qualitative analysis on potential risk factors migrating from metal containers for food to food simulants was carried out by using GC-MS/MS analysis method.Instrument conditions of UPLC were selected and optimized, and UPLC analysis methods of free phenols were established. In addition, the method of using LC-MS/MS to analyze BADGE and its derivatives was verified. Thus, the content of phenolic compounds in metal containers for food was generally investigated. The results showed that the detection rate of BADGE and its derivatives was 100%, which was basically in line with the EU limits. The detection rate of BPA was 97%, contribution of it to total free phenol was the highest, and the excess rate of the total free phenol was 23.9%..Next, the most seriously polluted BADGE and its derivatives were chosen as the migration study objectives. The migration of BADGE and its derivatives in coated can and coated can used for beer were researched by the migration experiments. From this, a conclusion can be drawn that the concentration levels of moving out from the package increased with time, gradually tend to be balanced and the value of migration balance were 1.28 mg/kg and 0.08 mg/kg. For the same kind of packaging materials, the higher the temperature is, the faster the migration rate moves, the higher the migration level achieves.The insulation test on BADGE and its derivatives in coated can and coated can used for beer was carried out and the specific migration amount was measured at a specific time and temperature through the design of accelerated test,which provided a large number of fundamental data for the establishment of migration model.In the end,this paper attempts to use the data from migration experiments combined with D.Chung model based on the Second Fick Law and Weibull model based on Probability and Mathematical Statistics Method to make a prediction. By comparison and analysis of the applicability for migration regularity of the two models, the fitting degree(R2) of D.Chung model was lower, however, the fitting degree (R2) of Weibull model reached a record of over 0.90, thus Weibull model could better explain and declare the migration. And the Weibull model is validated by the experimental datas.