Metal-organic frameworks for virus detection

Autor: Jianhua Yan, Shundong Cai, Hongjie Xiong, Nachuan Wen, Yaqin Hu, Zhenbao Liu, Ying Wang, Qunye He, Yanfei Liu, Dongming Peng
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Biosensors & Bioelectronics
ISSN: 1873-4235
0956-5663
Popis: Virus severely endangers human life and health, and the detection of viruses is essential for the prevention and treatment of associated diseases. Metal-organic framework (MOF), a novel hybrid porous material which is bridged by the metal clusters and organic linkers, has become a promising biosensor platform for virus detection due to its outstanding properties including high surface area, adjustable pore size, easy modification, etc. However, the MOF-based sensing platforms for virus detection are rarely summarized. This review systematically divided the detection platforms into nucleic acid and immunological (antigen and antibody) detection, and the underlying sensing mechanisms were interpreted. The nucleic acid sensing was discussed based on the properties of MOF (such as metal ion, functional group, geometry structure, size, porosity, stability, etc.), revealing the relationship between the sensing performance and properties of MOF. Moreover, antibodies sensing based on the fluorescence detection and antigens sensing based on molecular imprinting or electrochemical immunoassay were highlighted. Furthermore, the remaining challenges and future development of MOF for virus detection were further discussed and proposed. This review will provide valuable references for the construction of sophisticated sensing platform for the detection of viruses, especially the 2019 coronavirus.
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Highlights • Nucleic acid and immunological detections of virus based on MOFs were summarized. • The sensing mechanisms and performances of virus detections were interpreted. • The relationships between the structures and performances of MOFs were summarized. • The challenges and perspectives of MOF-based virus detections were discussed. • Valuable references for constructing COVID-19 detection platforms were provided.
Databáze: OpenAIRE