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Journal of Synthetic Crystals ›› 2025, Vol. 54 ›› Issue (11): 1881-1892.DOI: 10.16553/j.cnki.issn1000-985x.2025.0122

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Research Progress on Fluorescence Detection of Antibiotics by Metal-Organic Frameworks

LI Kehua1(), YI Kuiyu1(), SHI Hongwei2, KANG Xiaoqi3   

  1. 1. School of Petrochemical Technology,Shenyang University of Technology,Liaoyang 111003,China
    2. School of Materials Science and Engineering,Shenyang University of Technology,Shenyang 110870,China
    3. Center for Teacher Development and Educational Assessment,Shenyang University of Technology,Shenyang 110870,China
  • Received:2025-06-05 Online:2025-11-20 Published:2025-12-11

Abstract: Antibiotics, as essential antimicrobial agents, are extensively used in medicine, agriculture, and various industrial sectors. However, their overuse and improper disposal have led to environmental contamination and the accumulation of antibiotic residues in water bodies, posing significant risks to human health and ecological balance. Conventional detection techniques—such as gas chromatography (GC), liquid chromatography (LC), gas chromatography-mass spectrometry (GC-MS), and liquid chromatography-mass spectrometry (LC-MS)—though highly accurate, are often impeded by high costs, operational complexity, and time-intensive procedures, rendering them unsuitable for on-site and large-scale monitoring. Thus, there is a pressing need to develop efficient and sensitive detection technologies for quantifying antibiotic levels in food and environmental samples. Metal-organic frameworks (MOFs), characterized by their unique porous structures, tunable chemical compositions, and exceptional fluorescence properties, have shown great promise for the fluorescent detection of antibiotics. Employing a literature review approach, this paper explores the fundamental mechanisms underlying MOF-based fluorescence sensing, including photoinduced electron transfer (PET), Förster resonance energy transfer (FRET), and the inner filter effect (IFE). It systematically summarizes recent advances in fluorescent sensors constructed from MOFs and their host-guest composites for antibiotic detection, leveraging three primary signal transduction strategies: fluorescence quenching, fluorescence enhancement, and ratiometric fluorescence. This review bridges the conventional divides between chemical materials science, biomedicine, and environmental science, and investigates the innovative potential of MOFs in antibiotic monitoring across medical, agricultural, and industrial contexts. Specifically, it outlines the performance of MOF-based sensors in detecting major antibiotic classes, such as β-lactams, macrolides, tetracyclines, aminoglycosides, quinolones, sulfonamides, amphenicols, and phosphoglycolipids. Through strategies such as fluorescence quenching, enhancement, and ratiometric sensing, the reviewed MOF-based sensors demonstrate excellent performance. The quenching strategy exploits interactions between antibiotics and MOFs to markedly suppress fluorescence intensity, enabling highly sensitive detection. Conversely, the enhancement strategy capitalizes on the ability of certain antibiotics to augment MOF fluorescence under specific conditions, significantly amplifying weak signals and reducing interference. Ratiometric sensing employs the ratio of fluorescence intensities at two different wavelengths as a detection parameter, thereby improving accuracy and anti-interference capacity. This approach may involve one signal increasing while the other decreases, simultaneous changes in both signals, or change in one signal with the other remaining constant. These fluorescent sensors are characterized by straightforward operation, fast response, and relatively low cost, presenting promising alternatives for addressing challenges in antibiotic residue detection. Moreover, they exhibit distinct performance characteristics across different antibiotic classes, offering versatile and effective technical pathways for antibiotic analysis. In summary, fluorescent sensors based on MOFs and their host-guest composites demonstrate broad application prospects in antibiotic detection. By synthesizing and critically evaluating existing research, this review also outlines future directions for the field, including further optimization of MOF structures and properties, refinement of synthesis methods, and the integration of advanced machine learning techniques for data processing and analysis. This work provides a foundation for promoting the practical deployment of MOF-based fluorescent sensors, thereby supporting efforts to mitigate antibiotic pollution and protect human health and environmental safety.

Key words: metal-organic framework; fluorescence detection; fluorescence sensor; antibiotic; environmental and food pollution

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