Rational selection of 4,4′,4"-(1,3,5-triazine-2,4,6-triyl) trianiline-based covalent organic framework as adsorbent for effective co-extraction of aflatoxins, zearalenone and its metabolites from food and biological samples

被引:1
|
作者
Wei, Dan [1 ,2 ]
Li, Jianliang
Guo, Ming [3 ]
Xu, Jingjing [1 ]
Deng, Qiao [1 ]
Wang, Xu [1 ,2 ]
机构
[1] Hangzhou Med Coll, Sch Lab Med & Bioengn, Hangzhou 310053, Zhejiang, Peoples R China
[2] Key Lab Biomarkers & Vitro Diag Translat Zhejiang, Hangzhou 310058, Peoples R China
[3] Zhejiang Chem Prod Qual Inspect Co Ltd, Hangzhou 310023, Peoples R China
关键词
4 '; 4 '' -(1; 5-triazine-2; 6-triyl) trianiline-; based covalent organic frameworks; Mycotoxins; Density functional calculation; Magnetic solid phase extraction;
D O I
10.1016/j.foodchem.2024.141013
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Aflatoxins, zearalenone and its metabolites, as representative hazard mycotoxins cause adverse effects on food safety and human health. Developing a sensitive and reliable extraction and detection method is of great importance for monitoring their residue and exposure levels. In contrast to traditional trial-and-error selection steps, 4,4 ',4 ''-(1,3,5-triazine-2,4,6-triyl) trianiline covalent-bonding with 2,5-dihydroxyterephthalaldehyde, namely TAPT-OH-COF was screened as a potential adsorbent utilizing density functional theory calculations prior to the synthesis procedure. After experimental verification, magnetic TAPT-OH-COFs were prepared, characterized and applied for the extraction of aflatoxins, zearalenone and its metabolites from food and biological samples, coupled with high-performance liquid chromatography tandem mass spectrophy detection. Under the optimal conditions, the developed method exhibited low limits of quantification (0.05-0.50 mu g/kg), satisfactory recoveries (75.8 %-110.9 %) and good precision with intraday and interday relative standard deviations (RSDs) not exceeding 12.2 %. This study may provide great potential for the selection of candidate adsorbents for multi-mycotoxins extraction from complex samples.
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页数:9
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