02195nas a2200217   4500008004100000022001400041245005700055210005500112260000800167300000800175490000700183520157300190653001501763653001301778653002001791653001501811100001901826700002401845700002301869856008501892       2020                        eng d  a2190-572X00aBiosensors: frontiers in rapid detection of COVID-190 aBiosensors frontiers in rapid detection of COVID19  cAUG  a3850 v103 a<p>The rapid community-spread of novel human coronavirus 2019 (nCOVID19 or SARS-Cov2) and morbidity statistics has put forth an unprecedented urge for rapid diagnostics for quick and sensitive detection followed by contact tracing and containment strategies, especially when no vaccine or therapeutics are known. Currently, quantitative real-time polymerase chain reaction (qRT-PCR) is being used widely to detect COVID-19 from various types of biological specimens, which is time-consuming, labor-intensive and may not be rapidly deployable in remote or resource-limited settings. This might lead to hindrance in acquiring realistic data of infectivity and community spread of SARS-CoV-2 in the population. This review summarizes the existing status of current diagnostic methods, their possible limitations, and the advantages of biosensor-based diagnostics over the conventional ones for the detection of SARS-Cov-2. Novel biosensors used to detect RNA-viruses include CRISPR-Cas9 based paper strip, nucleic-acid based, aptamer-based, antigen-Au/Ag nanoparticles-based electrochemical biosensor, optical biosensor, and Surface Plasmon Resonance. These could be effective tools for rapid, authentic, portable, and more promising diagnosis in the current pandemic that has affected the world economies and humanity. Present challenges and future perspectives of developing robust biosensors devices for rapid, scalable, and sensitive detection and management of COVID-19 are presented in light of the test-test-test theme of the World Health Organization (WHO).</p>
10aBiosensors10aCOVID-1910aRapid detection10aSARS-CoV-21 aSamson, Rachel1 aNavale, Govinda, R.1 aDharne, Mahesh, S.  uhttps://library.ncl.res.in/content/biosensors-frontiers-rapid-detection-covid-19