食品接触材料AS/ABS中14种苯类化合物迁移量和风险评估模型的建立

为建立顶空-气相色谱质谱联用仪测定AS/ABS产品在水、4%乙酸、10%乙醇、20%乙醇、50%乙醇和95%乙醇模拟物中,14种苯类化合物特定迁移量(乙醇模拟物为13种苯类化合物迁移量)的定性和定量检测方法,通过优化分流比、载气流速、程序升温速度、平衡温度和时间等色谱条件,采用DB-WAXMS(30 m×0.25μm×0.25 mm)色谱柱,实现了苯、二甲苯、三甲苯以及丙苯等苯类的有效分离,14种苯类化合物迁移量的定量限(10S/N)为0.6~2.1μg/kg,0.20 mg/kg的混合标准溶液回收率为80.2%~118.3%,RSD值为3.6%~9.7%,线性相关系数均大于0.9950,实现了对AS/ABS中14种苯类化合物特定迁移量的快速定性和定量分析。试验还考察不同温度和时间条件下食品接触产品AS/ABS中苯类化合物的迁移量规律,结果显示,温度越高,苯类化合物特定迁移量越大。建立了不同温度下苯类化合物迁移模型,确定了扩散系数DP值、特征参数Ap值、活化能Ea等动力学参数,建立了食品接触材料AS/ABS中苯类化合物风险评估数学模型,为AS/ABS中苯类化合物风险管控提供了依据。

Migration and Risk Assessment Models of 14 Benzenes from AS/ABS in Food Contact Material

Established the qualitative and quantitative method for the determination specific migration of benzene compounds(migration of 13 kinds of benzene compounds in ethanol aqueous solution)in water and 4%acetic acid aqueous solution in AS/ABS by headspace-gas chromatography tandem mass spectrometry containing benzene,toluene,ethylbenzene,p-xylene,m-xylene,o-xylene,1,3,5-trimethylbenzene,styrene,cumene,n-propylbenzene,sec-butylbenzene,butylbenzene,1,2,4-trimethylbenzene and 1,2,3-trimethylbenzene.By optimizing the separation ratio,carrier gas flow rate, programmed heating rate, equilibrium temperature and time, the chromatographic conditions, the DB-WAXMS column (30 m × 0.25 μm × 0.25 mm) was used to separate benzene, xylene, tritoluene and propyl benzene, effectively. The linear correlation coefficient was more than 0.9950, the detection limit with 10S/N was 0.6-2.1 μg/kg, the recovery rate was 80.2%-118.3%, the relative standard deviation 3.6%-9.7%, the rapid qualitative and quantitative analysis of 14 benzene compounds in AS/ABS was realized. Investigated the migration law of benzene compounds in AS/ABS of food contact products at temperatures of different temperature and different time, the higher the temperature, the greater the specific migration of benzene compounds. At the same time, the migration model of benzene compounds at different temperatures is established and the kinetic parameters such as diffusion coefficient DP, characteristic parameter Ap, activation energy Ea are determined. Finally, the establishment of a mathematical model for risk assessment of benzene compounds in AS/ABS of food contact materials provides a basis for risk control of benzene compounds.