Functionalized Magnetic MOF-Based Sorbents for Sample Preparation in Food Contaminant Analysis: Advances, Mechanistic Evidence, and Application Boundaries

Main Article Content

Yu’ang Dong
Shanghai Institute of Technology, Shanghai, China

DOI: https://doi.org/10.70267/IC-GCBE2026.2026.8390

Keywords

functionalized magnetic MOFs, food contaminants, sample preparation, magnetic solid-phase extraction, structure–performance relationship, food safety analysis

Abstract

Food contaminants often occur at trace levels in complex matrices rich in proteins, lipids, carbohydrates, pigments, and inorganic salts, making sample preparation a critical determinant of analytical sensitivity, accuracy, and robustness. Metal-organic frameworks (MOFs) provide tunable pore architectures and tailorable surface chemistry, while integration with magnetic components such as Fe₃O₄ enables rapid magnetic recovery. This mechanism-oriented narrative review examines the structure–performance relationships and application boundaries of functionalized magnetic MOF-based sorbents, focusing on interfacial engineering, multicomponent hybridization, surface chemical tailoring, and specific recognition. Although the available evidence remains limited, it indicates that specific surface area alone cannot explain practical extraction performance; analyte–site complementarity, pore accessibility, magnetic separation efficiency, and competition from matrix constituents are also critical. The review therefore emphasizes matrix validation and mechanistic evidence rather than direct comparison of detection limits obtained under heterogeneous conditions.

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Published
Oct 30, 2026
Conference Proceedings Volume
Vol. 21 (2026): Proceedings of 2026 International Conference on Green Chemistry and Biomedical Engineering (IC-GCBE2026)
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How to Cite

Dong, Yu’ang. “Functionalized Magnetic MOF-Based Sorbents for Sample Preparation in Food Contaminant Analysis: Advances, Mechanistic Evidence, and Application Boundaries”. Exploring Science Academic Conference Series, vol. 21, Oct. 2026, pp. 83-90, https://doi.org/10.70267/IC-GCBE2026.2026.8390.