Chemistry and Physics Department, University of Almeria, Agrifood Campus of International Excellence (ceiA3), 04120 Almería, Spain.
Grupo de Análisis de Compuestos Traza, Polo de Desarrollo Universitario "Abordaje holístico", CENUR Litoral Norte Sede Paysandú, Universidad de la República, Ruta 3 km 363, 60000 Paysandú, Uruguay.
Food Chem. 2019 Oct 15;295:274-288. doi: 10.1016/j.foodchem.2019.05.105. Epub 2019 May 17.
Plastic multilayers are widely used for baby food packaging. However, it is important to consider that migration of food contact materials (FCM) into the baby food can occur. The comprehensive identification of potential migrants, including intentionally added substances (IAS) and non-intentionally added substances (NIAS), is required to assess the safety of these packaging materials. In this study, high resolution accurate mass spectrometry (HRAMS) with a data-independent acquisition method of sequential mass windows enables the detection of substances with corresponding deconvoluted fragment mass spectra. The identification of unexpected migrants present in the food simulants and in real baby food was facilitated by filtering strategies and by an in-house library. This approach has allowed the identification of 42 migrants, including eight NIAS detected for the first time. Two oligomers were quantified by means of reference standard materials at concentration levels above 0.010 mg/kg, exceeding the maximum residue levels for baby food.
塑料多层膜广泛应用于婴儿食品包装。然而,必须考虑到食品接触材料(FCM)可能会迁移到婴儿食品中。为了评估这些包装材料的安全性,需要综合识别潜在的迁移物,包括有意添加物质(IAS)和非有意添加物质(NIAS)。在这项研究中,高分辨率精确质量质谱(HRAMS)与顺序质量窗口的数据非依赖性采集方法相结合,能够检测到具有相应解卷积碎片质谱的物质。通过过滤策略和内部库,促进了对食品模拟物和实际婴儿食品中存在的意外迁移物的识别。这种方法能够识别 42 种迁移物,其中包括首次检测到的 8 种 NIAS。两种低聚物通过使用参考标准物质进行定量,浓度水平超过婴儿食品的最大残留限量 0.010mg/kg。