Abstract

Food contains a variety of poisonous and harmful substances that have an impact on human health. Therefore, food safety is a worldwide public concern. Food detection approaches must ensure the safety of food at every step of the food supply chain by monitoring and evaluating all hazards from every single step of food production. Therefore, early detection and determination of trace-level contaminants in food are one of the most crucial measures for ensuring food safety and safeguarding consumers’ health. In recent years, various methods have been introduced for food safety analysis, including classical methods and biomolecules-based sensing methods. However, most of these methods are laboratory-dependent, time-consuming, costly, and require well-trained technicians. To overcome such problems, developing rapid, simple, accurate, low-cost, and portable food sensing techniques is essential. Metal-organic frameworks (MOFs), a type of porous materials that present high porosity, abundant functional groups, and tunable physical and chemical properties, demonstrates promise in large-number applications. In this regard, MOF-based sensing techniques provide a novel approach in rapid and efficient sensing of pathogenic bacteria, heavy metals, food illegal additives, toxins, persistent organic pollutants (POPs), veterinary drugs, and pesticide residues. This review focused on the rapid screening of MOF-based sensors for food safety analysis. Challenges and future perspectives of MOF-based sensors were discussed. MOF-based sensing techniques would be useful tools for food safety evaluation owing to their portability, affordability, reliability, sensibility, and stability. The present review focused on research published up to 7 years ago. We believe that this work will help readers understand the effects of food hazard exposure, the effects on humans, and the use of MOFs in the detection and sensing of food hazards.

Highlights

  • Food safety is currently one of the world’s most pressing concerns due to rapid urbanization and an increase in population

  • The structural modularity with post-synthetic functionality and exceptionally controlled porosity make metal-organic frameworks (MOFs) ideal candidate materials to be used in food safety analysis

  • To enhance the stability and sensitivity of MOFs in complex samples, post-synthetic modifications have been focused on the functionalization of signals emitted by nanomaterials such as gold nanorods or gold nanoparticles, quantum dots, silver nanoclusters, and magnetic beads and incorporation of biomolecules

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Summary

Introduction

Food safety is currently one of the world’s most pressing concerns due to rapid urbanization and an increase in population. Theflow development classical analytical metho linked immunosorbent assay immunoassay,offlow-through immunoaspositive contributions to the detection of food hazards [8,9] All of these procedures, on say, surface plasma resonance (SPR), and electrochemical immunosensors have shown high-performance liquid chromatography (HPLC), gas chromatography On say, surface plasma resonance (SPR), and electrochemical immunosensors have shown high-performance liquid chromatography (HPLC), gas chromatography All of these procedures, on linked immunosorbent assay (ELISA), lateral flow immunoassay, flow-through making these analytical methods inferior candidates easy analysis. The essential attributes of MOF-based sensors for high value-added applications in different fields were discussed and new perspectives for decreasing the risk of foodborne illness were highlighted

Food Exposition to Hazard and Food Contaminants
Pathogenic Bacteria
Heavy Metals
Illegal Food Additives
Mycotoxins in Food
Drug and Pesticide Residues
MOF-Based Sensors for Food Safety
MOF-Based Electrochemical-Sensing Method
MOF-Based Chemical Sensing Method
MOF-Based Biosensing Method
Sensing Method
MOF-Based SERS Sensing Method
Use of MOF-Based Sensors for Food Safety Analysis
Detection of Pathogenic Bacteria
Detection of Heavy Metals
Detection of Illegal Food Additives
Detection of Natural Toxins in Food
Detection of Drug and Pesticide Residues
Findings
Conclusions and Future Research
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