摘要
目的研究市售家用料理机中重金属Cr和Mn迁移规律并对其进行风险评估。方法以市售家用料理机为研究对象,对不同材质料理机在不同的食品模拟物体系中(去离子水,4%乙酸溶液,10%乙醇溶液,50%乙醇溶液)重金属Cr和Mn向食品体系的迁移过程进行动力学分析与扩散模型分析,将Cr和Mn迁出浓度与我国现有标准中重金属限量值进行比较。结果在Cr和Mn迁出风险较高的4%乙酸溶液中,其迁移行为符合一级动力学过程,短期接触时部分迁移符合Fick扩散过程,长期接触时均符合Fick扩散过程。当迁移达到平衡时,4种模拟液中Cr和Mn元素的迁出浓度均低于生活饮用水中限量值。结论Fick第二定律能较好地应用于料理机中Cr和Mn的迁移研究,在日常使用条件下料理机中Cr和Mn的迁移危害风险较低。
Objective To study the migration rules of heavy metals Cr and Mn in commercial household cooking machines and evaluate their risks.Methods Taking the commercial household cooking machine as the research object,the heavy metals Cr and Mn were applied to the food system in different food simulant systems(deionized water,4%acetic acid solution,10%ethanol solution,50%ethanol solution).The migration process was carried out by dynamic analysis and diffusion model analysis,and the Cr and Mn migration concentrations were compared with the existing heavy metal limit values in China.Results In the 4%acetic acid solution with higher risk of Cr and Mn migration,the migration behavior was consistent with the first-order kinetics process.Partial migration met the Fick diffusion process in short-term exposure,and the Fick diffusion process was consistent in long-term exposure.When the migration reached equilibrium,the migration concentrations of Cr and Mn in the four simulated fluids were lower than the limit concentration in the drinking water.Conclusion Fick’s second law can be better applied to the migration of Cr and Mn in the cooking machine,and the risk of migration of Cr and Mn in the cooking machine is relatively low under daily use conditions.
作者
施思倩
叶平
高俊伟
张晓雨
陈松辉
姚卫蓉
谢云飞
于航
SHI Si-Qian;YE Ping;GAO Jun-Wei;ZHANG Xiao-Yu;Chen Song-Hui;YAO Wei-Rong;XIE Yun-Fei;YU Hang(Department of Food Quality and Safety,Jiangnan University,Wuxi 214122,China;Taizhou Product Quality Supervision and Inspection Institute,Taizhou 225300,China)
出处
《食品安全质量检测学报》
CAS
2020年第4期1053-1059,共7页
Journal of Food Safety and Quality
基金
江苏省质量技术监督局科技项目(KJ175923)。
关键词
家用料理机
铬
锰
迁移模型
风险估计
household food machine
chromium
manganese
migration model
risk estimate