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基于金属有机框架的食品安全传感器。

Metal-Organic Frameworks-Based Sensors for Food Safety.

作者信息

Hitabatuma Aloys, Wang Peilong, Su Xiaoou, Ma Mengmeng

机构信息

Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China.

出版信息

Foods. 2022 Jan 28;11(3):382. doi: 10.3390/foods11030382.

DOI:10.3390/foods11030382
PMID:35159532
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8833942/
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.

摘要

食品中含有多种对人体健康有影响的有毒有害物质。因此,食品安全是全球公众关注的问题。食品检测方法必须通过监测和评估食品生产每一步骤中的所有危害,确保食品供应链各环节的食品安全。因此,早期检测和测定食品中的痕量污染物是确保食品安全和保障消费者健康的关键措施之一。近年来,已引入各种方法进行食品安全分析,包括经典方法和基于生物分子的传感方法。然而,这些方法大多依赖实验室,耗时、成本高,且需要训练有素的技术人员。为克服这些问题,开发快速、简单、准确、低成本且便携的食品传感技术至关重要。金属有机框架(MOF)是一类具有高孔隙率、丰富官能团以及可调节物理和化学性质的多孔材料,在众多应用中展现出前景。在这方面,基于MOF的传感技术为快速高效地传感病原菌、重金属、食品非法添加剂、毒素、持久性有机污染物(POPs)、兽药和农药残留提供了一种新方法。本综述聚焦于基于MOF的传感器用于食品安全分析的快速筛选。讨论了基于MOF的传感器面临的挑战和未来展望。基于MOF的传感技术因其便携性、可承受性、可靠性、灵敏性和稳定性,将成为食品安全评估的有用工具。本综述聚焦于7年前发表的研究。我们相信这项工作将帮助读者了解食品危害暴露的影响、对人类的影响以及MOF在食品危害检测和传感中的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/27bfc9ee1cc4/foods-11-00382-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/e390471b63bf/foods-11-00382-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/4a4ab3209d04/foods-11-00382-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/ec195b6fa083/foods-11-00382-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/71380bd2b936/foods-11-00382-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/a6b53d7b2e9d/foods-11-00382-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/f8cc52224904/foods-11-00382-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/27bfc9ee1cc4/foods-11-00382-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/e390471b63bf/foods-11-00382-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/4a4ab3209d04/foods-11-00382-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/ec195b6fa083/foods-11-00382-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/71380bd2b936/foods-11-00382-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/a6b53d7b2e9d/foods-11-00382-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/f8cc52224904/foods-11-00382-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4238/8833942/27bfc9ee1cc4/foods-11-00382-g007.jpg

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