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ZIF-8 牺牲模板化的中空 COF 结构可从婴儿配方奶粉中实现高效的食品危害物富集、检测和调控。

ZIF-8 sacrificial-templated hollow COF architectures enabled highly efficient enrichment, determination and regulation of food hazards from infant formulas.

机构信息

Tianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300071, China.

Tianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300071, China.

出版信息

Food Chem. 2023 Mar 30;405(Pt B):135018. doi: 10.1016/j.foodchem.2022.135018. Epub 2022 Nov 21.

DOI:10.1016/j.foodchem.2022.135018
PMID:36436233
Abstract

Integration of functional micro-/nano-frameworks with various analytical techniques is favored to produce advanced and practical methods for identification, inspection, and regulation of hazards in agro-food products. Herein, two novel synthetic strategies were developed for preparation of core-shell structured ZIF-8@COF by using metal halides as the catalyst, and further construction of hollow-structured covalent organic frameworks (HCOFs) with a sacrificial template method. The HCOFs adsorbent exhibited high stability, universality and adsorption affinity for advanced glycation end products (AGEs) and aflatoxins (AFTs) than pristine COF. Combined with HPLC and HPLC-MS/MS, the applicability of this method was verified by infant formula samples with satisfying recoveries of 87.3%-98.9%. Furthermore, HCOF showed potential ability of adsorbing and removing AGEs from plasma without causing other risk. This work opens up the road for further research on the simple method to synthesis HCOF, besides, provides a technological basis for monitoring and controlling AGEs and AFTs in milk powder.

摘要

将功能微/纳结构与各种分析技术集成,有利于开发用于鉴定、检测和控制农产品危害的先进实用方法。本文采用卤化物作为催化剂,开发了两种用于制备 ZIF-8@COF 核壳结构的新型合成策略,并用牺牲模板法进一步构建了具有中空结构的共价有机框架(HCOF)。与原始 COF 相比,HCOF 吸附剂对晚期糖基化终产物(AGEs)和黄曲霉毒素(AFTs)具有更高的稳定性、通用性和吸附亲和力。通过与 HPLC 和 HPLC-MS/MS 联用,验证了该方法在婴幼儿配方奶粉样品中的适用性,其回收率为 87.3%-98.9%。此外,HCOF 显示出从血浆中吸附和去除 AGEs 的潜力,而不会带来其他风险。这项工作为进一步研究 HCOF 的简单合成方法开辟了道路,同时为监测和控制奶粉中的 AGEs 和 AFTs 提供了技术基础。

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