Metal-Organic Framework (MOF)-Based Fluorescent Sensing Platforms for Agri-Food Quality and Safety: Mechanisms and Applications

The global increase in agri-food demand points to a strong need for rapid, sensitive, and accurate contaminant detection methods. Metal-organic frameworks (MOFs), with remarkable structural tunability, high surface areas, and well-defined porous structures, have shown great potential as fluorescent sensing platforms. In the context of fundamental emission mechanisms and key photophysical processes, this review provides a systematic survey of recent literature (mainly from 2020– 2025) on MOF-based fluorescent sensors, focusing on the intrinsic fluorescence pathways such as metal-centered, ligand-centered, and guests-induced luminescence, and further differentiates their unique fluorescence properties in solid- and wet-state. The literature suggests that both lattice rigidity and AIE effects can enhance quantum yields to near unity. Specific guest-host interactions, along with defined exciton migration pathways, enable ultra-sensitive detection at trace levels (nmol to pmol) of various contaminants, e.g., pesticides, veterinary drug residues, mycotoxins, unauthorized additives, metal ions, and indicators of food spoilage. An in-depth assessment of recent approaches, including nanoparticle integration, ligand functionalization, dual-emission (ratiometric) schemes, and smartphone-based, easily portable sensing, demonstrates significant improvements in sensitivity, selectivity, operational stability, and real-world feasibility. Nevertheless, issues such as the stability of MOFs in complex environments, sensor multi-functionality, scalability, and cost-effectiveness still need to be addressed. Novel methodologies combining AI/ML methods are emerging and hold great potential, providing pathways to adaptive, self-calibrating, and multiplexed MOF-based sensing systems. Taken together, this review summarizes key lessons from recent work that demonstrate both exciting advances and challenges, and outlines a perspective on the development and application of MOF-based fluorescent sensors that can have a transformative impact on agri-food safety, public health, and environmental sustainability.

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Publication Details

Journal
Current Analytical Chemistry
Published
2026-03-27
DOI
https://doi.org/10.2174/0115734110407845251128053151
Primary Topic
Metal-Organic Frameworks: Synthesis and Applications
Type
article
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article

Metal-Organic Framework (MOF)-Based Fluorescent Sensing Platforms for Agri-Food Quality and Safety: Mechanisms and Applications

Bingquan Xiong, Xiaomei Pan, Wei Wang, Lei Li et al.
Current Analytical Chemistry
Metal-Organic Frameworks: Synthesis and Applications
article

Metal-Organic Framework (MOF)-Based Fluorescent Sensing Platforms for Agri-Food Quality and Safety: Mechanisms and Applications

Bingquan Xiong, Xiaomei Pan, Wei Wang, Lei Li, Juhong Bai, Lihui Wang, MingXin Lei, Xiao Mu, Yongqian Wang, Li Deng, Lin Yang
article en

Abstract

The global increase in agri-food demand points to a strong need for rapid, sensitive, and accurate contaminant detection methods. Metal-organic frameworks (MOFs), with remarkable structural tunability, high surface areas, and well-defined porous structures, have shown great potential as fluorescent sensing platforms. In the context of fundamental emission mechanisms and key photophysical processes, this review provides a systematic survey of recent literature (mainly from 2020– 2025) on MOF-based fluorescent sensors, focusing on the intrinsic fluorescence pathways such as metal-centered, ligand-centered, and guests-induced luminescence, and further differentiates their unique fluorescence properties in solid- and wet-state. The literature suggests that both lattice rigidity and AIE effects can enhance quantum yields to near unity. Specific guest-host interactions, along with defined exciton migration pathways, enable ultra-sensitive detection at trace levels (nmol to pmol) of various contaminants, e.g., pesticides, veterinary drug residues, mycotoxins, unauthorized additives, metal ions, and indicators of food spoilage. An in-depth assessment of recent approaches, including nanoparticle integration, ligand functionalization, dual-emission (ratiometric) schemes, and smartphone-based, easily portable sensing, demonstrates significant improvements in sensitivity, selectivity, operational stability, and real-world feasibility. Nevertheless, issues such as the stability of MOFs in complex environments, sensor multi-functionality, scalability, and cost-effectiveness still need to be addressed. Novel methodologies combining AI/ML methods are emerging and hold great potential, providing pathways to adaptive, self-calibrating, and multiplexed MOF-based sensing systems. Taken together, this review summarizes key lessons from recent work that demonstrate both exciting advances and challenges, and outlines a perspective on the development and application of MOF-based fluorescent sensors that can have a transformative impact on agri-food safety, public health, and environmental sustainability.

Current Analytical ChemistryVol. 22
Sichuan Tourism University (CN), Chengdu University (CN), BioTransformations (United Kingdom) (GB)
Responsible consumption and production
Openalex Percentile: Top 5%
Metal-Organic Frameworks: Synthesis and Applications
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