[关键词]
[摘要]
建立了气相色谱-质谱联用法(GC-MS)同时检测食品接触用纸制品中1,3-二氯-2-丙醇(1,3-DCP)、2,3-二氯-1-丙醇(2,3-DCP)、2-氯-1,3-丙二醇(2-MCPD)与3-氯-1,2-丙二醇(3-MCPD)四种氯丙醇迁移量的测定方法,食品模拟物包括4%乙酸、10%乙醇,50%乙醇与橄榄油。通过方法优化,四种氯丙醇的方法检出限与定量限分别为2 μg/kg与10 μg/kg,加标回收率为87.3%~109%,相对标准偏差(RSD)为1.1%~9.5%(n=6)。实验表明,该方法准确度高,重现性好,可满足纸制品中氯丙醇迁移量的检测要求。应用此方法对15批次纸制品进行检测,结果显示,3-MCPD迁移量的检出率与检出水平最高,1,3-DCP与3-MCPD迁移量的检出率分别为33.3%与53.3%,迁移量分别为2.27~12.04 μg/kg与2.51~183.32 μg/kg,2,3-DCP与2-MCPD迁移量均为未检出;氯丙醇在水基模拟物的迁移水平比橄榄油模拟物的迁移水平高。纸制品中普遍检出1,3-DCP与3-MCPD迁移,其对食品安全的影响需引起关注。
[Key word]
[Abstract]
A method for simultaneous determination of 1,3-dichloro-2-propanol (1,3-DCP), 2,3-dichloro-1-propanol (2,3-DCP), 2-chloro-1,3-propanol (2-MCPD) and 3-chloro-1,2-propanol (3-MCPD) from food contact paper products was established by using gas chromatography-mass spectrometry (GC-MS). 4% acetic acid, 10% ethanol, 50% ethanol and olive oil were selected as food simulants according to GB standard. The method was optimized in this study, the limit of detection (LOD) and limit of quantitation (LOQ) for each chloropropanols were 2 μg/kg and 10 μg/kg, respectively. The spiked recoveries were 87.3%~109%, and the relative standard deviations were 1.1% ~ 9.5% (n=6). The method is demonstrated to be suitable for determination of migration of chloropropanols from food contact paper with well accuracy and reproducibility. The method was applied to detection of 15 food contact papers, the highest value for both detection frequency and migration was observed for 3-MCPD. The detection frequency of 1,3-DCP and 3-MCPD were 33.3% and 53.3%, respectively ,and the migration level was 2.27~12.04 μg/kg and 2.51~183.32 μg/kg, respectively, while both migration of 2,3-DCP and 2-MCPD were not detected. It was also found that the migration of chloropropanols in the aqueous simulants was higher than that in olive oil. In view of the high detection frequency of 1,3-DCP and 3-MCPD, more attention should be paid to the risk caused by the migration of chloropropane in food contact paper.
[中图分类号]
[基金项目]
国家重点研发计划项目(2016YFF0203705);广州海关科研项目(2020GZCK-017)