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Metal-Organic Frameworks-Based Sensors for the Detection of Toxins in Food: A Critical Mini-Review on the Applications and Mechanisms
Abstract
Using scientific technologies to detect toxins in food is significant to prevent food safety problems and protect people’s health. Recently, the rise of sensors has made rapid, efficient, and safe detection of food toxins possible. One of the key factors impacting the sensor’s performance is the nanomaterials employed. Metal-organic frameworks (MOFs), with high specific surface area, tunable composition, porous structure, and flexible properties, have aroused the interest of researchers. The applications of MOFs in detecting food toxins have seen remarkable success in the past few years. In this critical mini-review, the impact of various synthesis methods on MOFs’ properties is first presented. Then, the applications and mechanisms of MOFs-based sensors in detecting various toxins are summarized and analyzed. Finally, future perspectives, potential opportunities, and challenges in this field are discussed.
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Authors (6)
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Xiaoxu Xuan
- Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan, China
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Mengjie Wang
- National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan, China
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Sivakumar Manickam
- Petroleum and Chemical Engineering, Faculty of Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan, Brunei Darussalam
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Joon Yong Yoon
- Department of Mechanical Engineering, BK21 FOUR ERICA-ACE Center, Hanyang University, Ansan, South Korea
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Xun Sun
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.3389/fbioe.2022.906374
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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Frontiers in Bioengineering and Biotechnology
no. 10,
ISSN: 2296-4185 - Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Xuan X., Wang M., Manickam S., Boczkaj G., Yoon J. Y., Sun X.: Metal-Organic Frameworks-Based Sensors for the Detection of Toxins in Food: A Critical Mini-Review on the Applications and Mechanisms// Frontiers in Bioengineering and Biotechnology -Vol. 10, (2022), s.906374-
- DOI:
- Digital Object Identifier (open in new tab) 10.3389/fbioe.2022.906374
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
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