Abstract

The high speed of contaminants growth needs the burgeoning of new analytical techniques to keep up with the continuous demand for monitoring and legislation on food safety and environmental pollution control. Metal-organic frameworks (MOFs) are a kind of advanced crystal porous materials with controllable apertures, which are self-assembled by organic ligands and inorganic metal nodes. They have the merits of large specific surface areas, high porosity and the diversity of structures and functions. Latterly, the utilization of metal-organic frameworks has attracted much attention in environmental protection and the food industry. MOFs have exhibited great value as sensing materials for many targets. Among many sensing methods, fluorometric sensing is one of the widely studied methods in the detection of harmful substances in food and environmental samples. Fluorometric detection based on MOFs and its functional materials is currently one of the most key research subjects in the food and environmental fields. It has gradually become a hot research direction to construct the highly sensitive rapid sensors to detect harmful substances in the food matrix based on metal-organic frameworks. In this paper, we introduced the synthesis and detection application characteristics (absorption, fluorescence, etc.) of metal-organic frameworks. We summarized their applications in the MOFs-based fluorometric detection of harmful substances in food and water over the past few years. The harmful substances mainly include heavy metals, organic pollutants and other small molecules, etc. On this basis, the future development and possible application of the MOFs have prospected in this review paper.

Highlights

  • The excretion of human or veterinary pharmaceuticals turned out to be environmental contaminants due to insufficient elimination during sewerage in sewage treatment plants [4,5,6]. These contaminants were brought to food products in the process, including but not limited to the raw material of food, processing, preservation, or packaging [3,7]. Since these contaminants can be devastating to the aquatic environment, considerable attention has been focused on their detection and assessment in wasteand surface-water

  • CH3 NH3 PbBr3 @Metal-organic frameworks (MOFs)-5 composites acted out the high strength water resistance and thermal stability improvement, together with better pH adaptability over extensive range compared to naked CH3 NH3 PbBr3 QDs

  • A fluorescence sensor is generally consisted of a sensing unit and a transduction unit to turn the sensed signal into the optical signal when the sensor interacts with the analytes

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Summary

The Harmful Substance for Health

With the continuous population growth and industrial and societal development, the security issues caused by environmental and food pollution have become the fateful consequences for the ecosystem and public health. The excretion of human or veterinary pharmaceuticals turned out to be environmental contaminants due to insufficient elimination during sewerage in sewage treatment plants [4,5,6]. These contaminants were brought to food products in the process, including but not limited to the raw material of food (animals and plants via the water, soil or feed), processing, preservation, or packaging [3,7]. People come to realize that the highly sensitive, accurate and convenient analytical procedures to detect contaminants are extremely important in food safety and environmental analyses

The Introduction of Metal-Organic Frameworks
The Solvothermal Method
The Mechanochemical Synthesis Method
The Sonochemical Method
The Electrochemical Synthesis
The Hybrid Materials Based on MOFs
The Harnessing of MOFs and Their Hybrid Materials
The Advantages of Metal-Organic Framework as Fluorescent Sensing Materials
The Current States and Progress of MOFs Fluorescence Sensing Application
Heavy Metal Detection
Pharmaceuticals
Antibiotic Detection
Hormones
Pesticides
Persistent Organic Pollutants
Mycotoxins
Amines
Findings
Future Perspectives and Concluding Remarks
Full Text
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