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用于测定从食品接触材料迁移至巧克力中的聚碳酸酯添加剂、降解产物和着色剂的质谱采集参数的优化

Optimization of mass spectrometry acquisition parameters for determination of polycarbonate additives, degradation products, and colorants migrating from food contact materials to chocolate.

作者信息

Bignardi Chiara, Cavazza Antonella, Laganà Carmen, Salvadeo Paola, Corradini Claudio

机构信息

Dipartimento di Scienze Chimiche, della Vita e della Sostenibilità Ambientale, Università di Parma, Parco Area delle Scienze 17/A, 43124, Italy.

出版信息

J Mass Spectrom. 2018 Jan;53(1):83-90. doi: 10.1002/jms.4037.

Abstract

The interest towards "substances of emerging concerns" referred to objects intended to come into contact with food is recently growing. Such substances can be found in traces in simulants and in food products put in contact with plastic materials. In this context, it is important to set up analytical systems characterized by high sensitivity and to improve detection parameters to enhance signals. This work was aimed at optimizing a method based on UHPLC coupled to high resolution mass spectrometry to quantify the most common plastic additives, and able to detect the presence of polymers degradation products and coloring agents migrating from plastic re-usable containers. The optimization of mass spectrometric parameter settings for quantitative analysis of additives has been achieved by a chemometric approach, using a full factorial and d-optimal experimental designs, allowing to evaluate possible interactions between the investigated parameters. Results showed that the optimized method was characterized by improved features in terms of sensitivity respect to existing methods and was successfully applied to the analysis of a complex model food system such as chocolate put in contact with 14 polycarbonate tableware samples. A new procedure for sample pre-treatment was carried out and validated, showing high reliability. Results reported, for the first time, the presence of several molecules migrating to chocolate, in particular belonging to plastic additives, such Cyasorb UV5411, Tinuvin 234, Uvitex OB, and oligomers, whose amount was found to be correlated to age and degree of damage of the containers.

摘要

近期,人们对与食品接触的“新兴关注物质”的兴趣日益浓厚。此类物质可在模拟物以及与塑料材料接触的食品中被微量检测到。在此背景下,建立具有高灵敏度的分析系统并改进检测参数以增强信号十分重要。这项工作旨在优化一种基于超高效液相色谱(UHPLC)与高分辨率质谱联用的方法,以定量分析最常见的塑料添加剂,并能够检测从可重复使用的塑料容器中迁移出的聚合物降解产物和着色剂。通过化学计量学方法,采用全因子设计和D-最优实验设计,实现了添加剂定量分析质谱参数设置的优化,从而能够评估所研究参数之间可能的相互作用。结果表明,相对于现有方法,优化后的方法在灵敏度方面具有改进的特性,并成功应用于分析与14个聚碳酸酯餐具样品接触的复杂模型食品体系——巧克力。开展并验证了一种新的样品预处理程序,结果显示其具有高可靠性。研究结果首次报告了多种迁移至巧克力中的分子,特别是属于塑料添加剂的分子,如紫外线吸收剂CYASORB UV5411、紫外线吸收剂TINUVIN 234、荧光增白剂UVITEX OB以及低聚物,发现其含量与容器的使用年限和损坏程度相关。

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