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基于磁性金属有机框架材料的表面辅助激光解吸离子化质谱在食用油快速鉴定中的应用
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吴杰,陈凌,陈群定,陈伟建,林子俺 1.福州大学化学学院食品安全与生物分析教育部重点实验室2.莆田市农业检验监测中心 
基金项目:国家自然科学基金资助项目(21675025);福建省自然科学基金资助项目(2018J01683);莆田市科技局科技资助项目(2016N2016,2016S3003)
中文摘要:以羧基化的Fe3O4为核,通过室温自组装方法合成了核壳结构的磁性沸石咪唑酯框架-8(Fe3O4@ZIF-8)微球。以此为基质,建立了一种基于磁性金属有机框架(Fe3O4@MOFs)的表面辅助激光解吸离子化质谱(SALDI-MS)新方法。分别考察了干点法、薄层法、三明治法3种不同制样方法对质谱检测信号的影响。研究表明,“三明治”样品制备法具有基质分布均匀、“甜点”效应小、灵敏度高、信号重现性好等优点。以花生油、猪油、菜籽油中的甘油三酯为研究对象,利用SALDI-MS方法实现了对不同食用油的快速鉴别。与传统MALDI-MS相比,基于Fe3O4@ZIF-8的SALDI-MS方法可以获得更丰富的油品成分信息、更好的质量分辨率和更高的检测灵敏度,可成功应用于食用油实际样品的快速鉴定。
中文关键词:磁性金属有机框架材料  表面辅助激光解吸离子化质谱  快速鉴定  食用油
 
Rapid Identification of Edible Oils by Ionization Mass Spectrometry with Magnetic Metal Organic Frameworks based Surface assisted Laser Desorption
Abstract:A new method of magnetic metal organic framework(Fe3O4@MOFs) surface assisted laser desorption ionization mass spectrometry(SALDI-MS) was established,based on the ambient synthesization of core-shell magnetic zeolitic imidazolate framework-8(Fe3O4@ZIF-8) microspheres by a simple self assembly method with carboxylated Fe3O4 as the core.The effects of different sample preparation methods such as dried droplet method,thin layer method and sandwich method were investigated in details.Results showed that the sample prepared by sandwich method has many advantages including uniform matrix distribution,little “sweet point”,high sensitivity,and good signal reproducibility.In this paper,triglycerides in peanut oil,lard and canola oil were used as target objects,and different edible oils were identified by the SALDI-MS method rapidly.Compared with traditional MALDI-MS method,the SALDI-MS method based on Fe3O4@ZIF-8 could obtain more abundant composition information of oil,better mass resolution and higher detection sensitivity,could be better applied in the rapid identification of edible oil samples.
Key Words:magnetic metal organic frameworks  surface assisted laser desorption ionization mass spectrometry  rapid identification  edible oils
引用本文:吴杰,陈凌,陈群定,陈伟建,林子俺.基于磁性金属有机框架材料的表面辅助激光解吸离子化质谱在食用油快速鉴定中的应用[J].分析测试学报,2019,(4):423-428.
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