Synopsis of Pharmotechnological Approaches in Diagnostic and Management Strategies for Fighting Against COVID-19
| Autor: | Khaled A. Al-Hosaini, Manvi Singh, Mohammad Amjad Kamal, Nazia Hassan, Asim Azhar |
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| Rok vydání: | 2021 |
| Předmět: |
Pharmacology
2019-20 coronavirus outbreak Coronavirus disease 2019 (COVID-19) SARS-CoV-2 Computer science Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) fungi technology industry and agriculture COVID-19 Diagnostic test Nanotechnology Biosensing Techniques respiratory system Photothermal therapy medicine.disease_cause Nanostructures Drug Discovery medicine Humans Respiratory drugs Pandemics Coronavirus |
| Zdroj: | Current Pharmaceutical Design. 27:4086-4099 |
| ISSN: | 1381-6128 |
| DOI: | 10.2174/1381612827666210715154004 |
| Popis: | Nanoparticles (NPs) are projected to play a significant role in the fight against coronavirus disease (COVID-19). The various properties of NPs like magnetic and optical can be exploited to build diagnostic test kits. The unembellished morphological and physiochemical resemblances of SARS-CoV-2 with synthetic NPs make them a potent tool for mediation. Nanoparticles can be analytically functionalized with different proteins, polymers, and functional groups to perform specific inhibitory functions, while also serving as delivery vehicles. Moreover, NPs can also be employed to prepare broad-spectrum respiratory drugs and vaccines that can guard seasonal flu and prepare the human race for the pandemic in the future. The present review outlines the role of NPs for detection, diagnostic and therapeutic purposes against members of the coronavirus family. We emphasize nanomaterial-based approaches to address coronaviruses in general and SARS-CoV-2 in particular. We discuss NPs based detection systems like graphene (G-FET), biosensors, and plasmonic photothermal associated sensors. The therapeutic approaches exploiting NPs such as inorganic, organic virus-like & self-assembly protein (VLP), and inactivation of SARS-CoV-2 employing photodynamic are also presented. |
| Databáze: | OpenAIRE |
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