Suppr超能文献

UPLC-Q-TOF-MS 分析新型活性包装材料中的非挥发性迁移物。

UPLC-Q-TOF-MS analysis of non-volatile migrants from new active packaging materials.

机构信息

Analytical Chemistry Department, GUIA Group, I3A, EINA, University of Zaragoza, Zaragoza, Spain.

出版信息

Anal Bioanal Chem. 2012 Oct;404(6-7):1945-57. doi: 10.1007/s00216-012-6247-5. Epub 2012 Jul 27.

Abstract

Ultra-performance liquid chromatography (UPLC) coupled to mass spectrometry (MS) is a useful tool in the analysis of non-volatile compounds, and the use of a quadrupole-time-of-flight (Q-TOF) mass analyzer allows a high sensitivity and accuracy when acquiring full fragment mode, providing a high assurance of correct identification of unknown compounds. In this work, UPLC-Q-TOF-MS technology has been applied to the analysis of non-volatile migrants from new active packaging materials. The materials tested were based on polypropylene (PP), ethylene-vinyl alcohol copolymer (EVOH), and poly(ethylene terephthalate) (PET). The active packaging materials studied were one PP film containing a natural antioxidant, and two PP/EVOH films, two PET/EVOH films and one coextruded PP/EVOH/PP film containing natural antimicrobials. The chemical structure of several compounds was unequivocally identified. The analysis revealed the migration of some of the active substances used in the manufacture of active packaging, such as caffeine (0.07 ± 0.01 μg/g), carvacrol (0.31 ± 0.03 μg/g) and citral (0.20 ± 0.01 μg/g). Unintentionally added substances were also found, such as citral reaction compounds, or citral impurities present in the raw materials.

摘要

超高效液相色谱(UPLC)与质谱(MS)联用是分析非挥发性化合物的有用工具,而采用四极杆飞行时间(Q-TOF)质量分析器在全碎片模式下进行采集时,具有较高的灵敏度和准确性,从而可以高度保证未知化合物的正确识别。在这项工作中,UPLC-Q-TOF-MS 技术已应用于新型活性包装材料中非挥发性迁移物的分析。所测试的材料基于聚丙烯(PP)、乙烯-乙烯醇共聚物(EVOH)和聚对苯二甲酸乙二醇酯(PET)。研究的活性包装材料有一个含有天然抗氧化剂的 PP 薄膜,两个 PP/EVOH 薄膜,两个 PET/EVOH 薄膜和一个共挤出的含有天然抗菌剂的 PP/EVOH/PP 薄膜。几种化合物的化学结构被明确识别。分析结果显示了一些用于制造活性包装的活性物质的迁移,如咖啡因(0.07±0.01μg/g)、香芹酚(0.31±0.03μg/g)和柠檬醛(0.20±0.01μg/g)。还发现了一些非故意添加的物质,如柠檬醛反应产物,或存在于原材料中的柠檬醛杂质。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验