Metal-Organic Frameworks-Based Sensors for the Detection of Toxins in Food: A Critical Mini-Review on the Applications and Mechanisms - Publikacja - MOST Wiedzy

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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

Abstrakt

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.

Cytowania

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Autorzy (6)

  • Zdjęcie użytkownika  Xiaoxu Xuan

    Xiaoxu Xuan

    • Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan, China
  • Zdjęcie użytkownika  Mengjie Wang

    Mengjie Wang

    • National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan, China
  • Zdjęcie użytkownika  Sivakumar Manickam

    Sivakumar Manickam

    • Petroleum and Chemical Engineering, Faculty of Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan, Brunei Darussalam
  • Zdjęcie użytkownika  Joon Yong Yoon

    Joon Yong Yoon

    • Department of Mechanical Engineering, BK21 FOUR ERICA-ACE Center, Hanyang University, Ansan, South Korea
  • Zdjęcie użytkownika  Xun Sun

    Xun Sun

    • Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, Hong Kong SAR, China

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Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
Frontiers in Bioengineering and Biotechnology nr 10,
ISSN: 2296-4185
Język:
angielski
Rok wydania:
2022
Opis bibliograficzny:
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:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3389/fbioe.2022.906374
Źródła finansowania:
  • Publikacja bezkosztowa
Weryfikacja:
Politechnika Gdańska

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