2021
DOI: 10.1016/j.scitotenv.2020.142363
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Prospects of nanomaterials-enabled biosensors for COVID-19 detection

Abstract: We are currently facing the COVID-19 pandemic which is the consequence of severe acute respiratory syndrome coronavirus (SARS-CoV-2). Since no specific vaccines or drugs have been developed till date for the treatment of SARS-CoV-2 infection, early diagnosis is essential to further combat this pandemic. In this context, the reliable, rapid, and low-cost technique for SARS-CoV-2 diagnosis is the foremost priority. At present reverse transcription polymerase chain reaction (RT-PCR) is the reference technique pre… Show more

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Cited by 133 publications
(85 citation statements)
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“…Metal nanoparticles like gold, iron oxide, graphene, tin oxide, and polymeric nanoparticles, viz., lanthanide-doped polysterene NPs, carboxyl polymer, and polymer nanoparticles coated with streptavidin dye, are being used in the diagnosis of SARS-CoV-2 [ 30 ]. Gold NPs possess high plasmon resonance due to their metallic properties and enable easy detection of RNA, DNA, antigen, and antibody with a sensitivity ranging from 89 to 100% [ 27 ].…”
Section: Nanomaterials For Diagnosis Of Covid-19mentioning
confidence: 99%
“…Metal nanoparticles like gold, iron oxide, graphene, tin oxide, and polymeric nanoparticles, viz., lanthanide-doped polysterene NPs, carboxyl polymer, and polymer nanoparticles coated with streptavidin dye, are being used in the diagnosis of SARS-CoV-2 [ 30 ]. Gold NPs possess high plasmon resonance due to their metallic properties and enable easy detection of RNA, DNA, antigen, and antibody with a sensitivity ranging from 89 to 100% [ 27 ].…”
Section: Nanomaterials For Diagnosis Of Covid-19mentioning
confidence: 99%
“…Biosensors possess the capability to detect and convert specific biological response into signals that can be quickly translated, as such nanomaterials enabled biosensors have been found to offer a very fast and early diagnosis of COVID-19 cases (Srivastava et al, 2021). Artificial intelligence using artificial neural networks and machine learning systems have been statistically assessed and found to be valuable in predicting the results of molecular diagnostic test for SARS-COV-2 (Langer et al, 2020).…”
Section: Intelligent Approaches To Covid-19mentioning
confidence: 99%
“…This rapid diagnosis kit progresses in the identification of infection on time, though the viral loading in the infected sample might obstruct the diagnosis. To resolve the above-mentioned issues, two-dimensional gold nanoislands are functionalized with the complementary oligonucleotide sequence of elected Covid19 gene sequence (RdRp-COVID, ORF1ab-COVID, and E genes from SARS-Cov-2) (Parihar et al, 2020;Srivastava et al, 2021). During the nucleic acid hybridization with the infected sample, two different angles of incidence at their plasmonic photothermal (PPT) and localized surface plasmon resonance (LSPR) exhibited the two different excited wavelengths (Xu et al, 2020).…”
Section: Diagnosismentioning
confidence: 99%