Fabrication of magnetic Fe3O4 doped β-cyclodextrin microporous organic network for the efficient extraction of endocrine disrupting chemicals from food takeaway boxes

化学 微型多孔材料 萃取(化学) 吸附 固相萃取 色谱法 微量 线性范围 环糊精 检出限 环境化学 有机化学 医学 替代医学 病理
作者
Chunying Xu,Yuanyuan Cui,Cheng‐Xiong Yang
出处
期刊:Journal of Chromatography A [Elsevier BV]
卷期号:1715: 464625-464625 被引量:24
标识
DOI:10.1016/j.chroma.2023.464625
摘要

Endocrine disrupting chemicals (EDCs) are a typical class of natural or man-made endogenous hormone agonists or antagonists that can directly or potentially interfere with human endocrine system. However, it is still difficult to analyze trace EDCs directly from complex environment and food matrices. Therefore, the proper sample pretreatment is highly desired and the preparation of efficient adsorbents is of great challenge and importance. Herein, we report the facile one-pot solvothermal synthesis of Fe3O4 nanoparticle doped magnetic β-cyclodextrin microporous organic network composites (MCD-MONs) for the magnetic solid phase extraction (MSPE) of four phenolic EDCs in water and food takeaway boxes prior to the high-performance liquid chromatography analysis. The sheet-like Fe3O4 doped MCD-MONs offered good magnetic property (16.5 emu g−1) and stability, and provided numerous hydrogen bonding, hydrophobic, π-π, and host-guest interaction sites for EDCs. Under the optimal experimental conditions, the established method was successfully verified with wide linear range (2.0-1000 μg L−1), low limits of detection (0.6-1.0 μg L−1), good precisions (intra-day and inter-day RSDs < 5.2%, n = 3), large enrichment factors (88-98) and adsorption capacity (90.3-255.8 mg g−1), short extraction time (6 min), less adsorbent consumption (3 mg), and good reusability (at least 8 times) for EDCs. The proposed method was successfully applied to detect the trace EDCs in real samples with the recovery of 84.0-99.7%. This work demonstrated the great potential of MCD-MONs for the efficient MSPE of trace EDCs from complex food takeaway boxes and water samples and uncovered the prospect of CD-based MONs in sample pretreatment.
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