Graphene Channel Dielectric VTFET Biosensor for SARS-CoV-2: Modelling, Fabrication, Characterization and Its Investigation on Genomic Classification in Spike Proteins
The rapid mutation that is taking place in the genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may have as an unintended consequence a growth in the charges of both transmission and mortality. It is shown how to use a vertical tunnel field-effect transistor (VTFET) biosensor t...
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Veröffentlicht in: | BioNanoScience 2024-03, Vol.14 (1), p.409-428 |
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Sprache: | eng |
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Zusammenfassung: | The rapid mutation that is taking place in the genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may have as an unintended consequence a growth in the charges of both transmission and mortality. It is shown how to use a vertical tunnel field-effect transistor (VTFET) biosensor to detect SARS-CoV-2 spike proteins in clinical samples. These proteins are discovered in the virus’s capsids. Measurements of the modification in the current drain have been capable of examining the readiness of the currently proposed detector. As a stand-in for the biomolecules that have internal hybridization nanogaps, the dielectric coefficient analogue of the viral proteins is utilised here. The fact that the suggested detector has a high sensitivity (on a scale ranging from 0 to 115) displays that the device has the potential to be used as a premium sensing instrument. DNA density of charge sensitivity studies is conducted to search for changes in the virus that could affect its capacity to disseminate and infect humans. The genotypes of SARS-CoV-2 are disclosed. Christian Medical College in Vellore, Tamil Nadu, India, analysed samples of SARS-CoV-2 and is capable of sequencing their entire genomes and examining mutation patterns and clade distribution. Two hundred and fifty distinct mutations were discovered among the 600 sequences that were investigated. One hundred fifty missense mutations, eighty synonymous mutations, fifteen mutations in noncoding regions, and five deletions make up the 250 unique mutations found in this sequencing data, which is essential for understanding genomic diversity. Finally, a variety of previously reported FET-based biosensors are linked to the suggested detector and its analysis of genetic mutation.
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ISSN: | 2191-1630 2191-1649 |
DOI: | 10.1007/s12668-023-01266-z |