Rapidly enrichment and detection of per-and polyfluoroalkyl substances in foods using a novel bifunctional covalent organic framework

Per- and polyfluoroalkyl substances (PFASs) are extensively found in foods, posing potential toxicity to humans. Therefore, rapid analysis and monitoring of PFASs in foods are crucial for public health and also a challenge. To detect trace PFASs in foods, construction of sorbents with multiple inter...

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Veröffentlicht in:Food chemistry 2024-07, Vol.447, p.139016-139016, Article 139016
Hauptverfasser: Gong, Jing, Zhang, Xingyuan, Liang, Rongyao, Ma, Juanqiong, Yang, Na, Cai, Kaiwei, Wu, Jinyun, Xie, Zhiyong, Zhang, Shusheng, Chen, Yanlong, Liao, Qiongfeng
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Sprache:eng
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Zusammenfassung:Per- and polyfluoroalkyl substances (PFASs) are extensively found in foods, posing potential toxicity to humans. Therefore, rapid analysis and monitoring of PFASs in foods are crucial for public health and also a challenge. To detect trace PFASs in foods, construction of sorbents with multiple interactions could be an effective approach. Herein, a cationic-fluorinated covalent organic framework (CF-COF) was prepared by post-modification and used as a magnetic solid-phase extraction adsorbent for adsorption of PFASs. By combining magnetic solid-phase extraction based on CF-COF with liquid chromatography−tandem mass spectrometry (LC − MS/MS), a novel method was developed for determination of eight long-chain PFASs in foods. Under optimized conditions, the method exhibited low detection limits (0.003–0.019 ng/g) and satisfactory recovery rates (73.5–118%) for PFASs. This study introduces a novel idea for the development of adsorbents targeting PFASs, along with a new analytical method for monitoring of PFASs in foods. •CF-COF was synthesized for extracting per- and polyfluoroalkyl substances (PFASs).•There are electrostatic interactions and fluorous affinity between CF-COF and PFASs.•The MSPE−HPLC−MS/MS method was applied for determination of 8 PFASs in food.
ISSN:0308-8146
1873-7072
DOI:10.1016/j.foodchem.2024.139016