Fabrication of Magnetic Al-Based Fe<sub>3</sub>O<sub>4</sub>@MIL-53 Metal Organic Framework for Capture of Multi-Pollutants Residue in Milk Followed by HPLC-UV

The efficient capture of multi-pollutant residues in food is vital for food safety monitoring. In this study, in-situ-fabricated magnetic MIL-53(Al) metal organic frameworks (MOFs), with good magnetic responsiveness, were synthesized and applied for the magnetic solid-phase extraction (MSPE) of chlo...

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Main Authors: Xue-Li Liu, Yong-Hui Wang, Shu-Yue Ren, Shuang Li, Yu Wang, Dian-Peng Han, Kang Qin, Yuan Peng, Tie Han, Zhi-Xian Gao, Jian-Zhong Cui, Huan-Ying Zhou
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Molecules
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Online Access:https://www.mdpi.com/1420-3049/27/7/2088
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Summary:The efficient capture of multi-pollutant residues in food is vital for food safety monitoring. In this study, in-situ-fabricated magnetic MIL-53(Al) metal organic frameworks (MOFs), with good magnetic responsiveness, were synthesized and applied for the magnetic solid-phase extraction (MSPE) of chloramphenicol, bisphenol A, estradiol, and diethylstilbestrol. Terephthalic acid (H<sub>2</sub>BDC) organic ligands were pre-coupled on the surface of amino-Fe<sub>3</sub>O<sub>4</sub> composites (H<sub>2</sub>BDC@Fe<sub>3</sub>O<sub>4</sub>). Fe<sub>3</sub>O<sub>4</sub>@MIL-53(Al) MOF was fabricated by in-situ hydrothermal polymerization of H<sub>2</sub>BDC, Al (NO<sub>3</sub>)<sub>3</sub>, and H<sub>2</sub>BDC@Fe<sub>3</sub>O<sub>4</sub>. This approach highly increased the stability of the material. The magnetic Fe<sub>3</sub>O<sub>4</sub>@MIL-53(Al) MOF-based MSPE was combined with high-performance liquid chromatography-photo diode array detection, to establish a novel sensitive method for analyzing multi-pollutant residues in milk. This method showed good linear correlations, in the range of 0.05–5.00 μg/mL, with good reproducibility. The limit of detection was 0.004–0.108 μg/mL. The presented method was verified using a milk sample, spiked with four pollutants, which enabled high-throughput detection and the accuracies of 88.17–107.58% confirmed its applicability, in real sample analysis.
ISSN:1420-3049