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      Metal-organic frameworks for virus detection

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          Abstract

          Virus severely endangers human life and health, the detection of virus is essential for the prevention and treatment of associated disease. Metal-organic framework (MOF), a novel hybrid porous material which 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, ligands modification, etc. However, the MOF-based sensing platforms for virus detection is 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 groups, geometry structure, size, porosity, stability, etc.), revealing the relationship between the sensing performance and properties of MOF. Moreover, antibodies sensing based on the fluorescent 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 construction of sophisticated sensing platform for the detection of virus, especially 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.

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          Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR

          Background The ongoing outbreak of the recently emerged novel coronavirus (2019-nCoV) poses a challenge for public health laboratories as virus isolates are unavailable while there is growing evidence that the outbreak is more widespread than initially thought, and international spread through travellers does already occur. Aim We aimed to develop and deploy robust diagnostic methodology for use in public health laboratory settings without having virus material available. Methods Here we present a validated diagnostic workflow for 2019-nCoV, its design relying on close genetic relatedness of 2019-nCoV with SARS coronavirus, making use of synthetic nucleic acid technology. Results The workflow reliably detects 2019-nCoV, and further discriminates 2019-nCoV from SARS-CoV. Through coordination between academic and public laboratories, we confirmed assay exclusivity based on 297 original clinical specimens containing a full spectrum of human respiratory viruses. Control material is made available through European Virus Archive – Global (EVAg), a European Union infrastructure project. Conclusion The present study demonstrates the enormous response capacity achieved through coordination of academic and public laboratories in national and European research networks.
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            Emerging coronaviruses: Genome structure, replication, and pathogenesis

            Abstract The recent emergence of a novel coronavirus (2019‐nCoV), which is causing an outbreak of unusual viral pneumonia in patients in Wuhan, a central city in China, is another warning of the risk of CoVs posed to public health. In this minireview, we provide a brief introduction of the general features of CoVs and describe diseases caused by different CoVs in humans and animals. This review will help understand the biology and potential risk of CoVs that exist in richness in wildlife such as bats.
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              Design and synthesis of an exceptionally stable and highly porous metal-organic framework

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                Author and article information

                Journal
                Biosens Bioelectron
                Biosens Bioelectron
                Biosensors & Bioelectronics
                Elsevier B.V.
                0956-5663
                1873-4235
                14 September 2020
                14 September 2020
                : 112604
                Affiliations
                [a ]Department of Pharmaceutics, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410013, Hunan Province, PR China
                [b ]Department of Pharmaceutical Engineering, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, Hunan Province, PR China
                [c ]Department of Medicinal Chemistry, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, 410208, Hunan Province, PR China
                Author notes
                []Corresponding author.
                [∗∗ ]Corresponding author.
                Article
                S0956-5663(20)30594-7 112604
                10.1016/j.bios.2020.112604
                7489328
                32980805
                4dff4d1b-8781-407f-96b1-6654547852b6
                © 2020 Elsevier B.V. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 5 June 2020
                : 16 July 2020
                : 7 September 2020
                Categories
                Article

                Biomedical engineering
                metal-organic framework,virus detection,nucleic acid,immunological detection

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