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A novel analytical strategy for the determination of perfluoroalkyl acids in various food matrices using a home-made functionalized fluorine interaction SPME in combination with LC-MS/MS

•A strategy integrating specific fluorine-fluorine interaction was proposed for sensing perfluoroalkyl acids in food system.•The proposed strategy exhibited wide linear range, low method detection limits and good repeatability.•Designed strategy could overcome the interferences of coexistent element...

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Bibliographic Details
Published in:Food chemistry 2022-01, Vol.366, p.130572-130572, Article 130572
Main Authors: Li, Jingkun, Gao, Yueying, Wan, Yuqi, Liu, Jinghan, Liu, Lin, Wang, Jiahua, Sun, Xiulan, Pi, Fuwei, Chen, Xiangfeng
Format: Article
Language:English
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Summary:•A strategy integrating specific fluorine-fluorine interaction was proposed for sensing perfluoroalkyl acids in food system.•The proposed strategy exhibited wide linear range, low method detection limits and good repeatability.•Designed strategy could overcome the interferences of coexistent elements in food system.•Reusable fluorinated h-BN coated SPME fiber showed higher extraction capability than conventional QuEChERs and SPE techniques. In this study, a fluorine-fluorine interaction approach through fluoridating boron nitride nanosheets (BNNs) for sensing perfluoroalkyl acids (PFAAs) in multiple food matrices was developed. Through a facile hydrothermal fluorination modification, the BNNs were transferred into homogeneous fluorinated boron nitride nanoparticles (F-BNNs) with robust networks and specific surface area. After morphological modification, the particles displayed strong adsorption and sensing capabilities on PFAAs in both solid and liquid food matrix. Under the evaluation of mass spectrometry, F-BNNs based microextraction approach exhibited low method detection limits (MDLs) in the ranges of 0.9–3.9 pg mL−1 and 3.6–15.8 pg g−1 for milk and meat matrices, respectively, with satisfactory repeatability (RSD%
ISSN:0308-8146
1873-7072
DOI:10.1016/j.foodchem.2021.130572