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Detection of SARS-CoV-2 in COVID-19 Patient Nasal Swab Samples Using Signal Processing.

Mahmoud Al AhmadLillian J A OluleMohammed A MeetaniFarrukh Amin SheikhRahima Al BlooshiNeena G PanickerFarah MustafaTahir A Rizvi
Published in: IEEE journal of selected topics in signal processing (2021)
This work presents an opto-electrical method that measures the viral nucleocapsid protein and anti-N antibody interactions to differentiate between SARS-CoV-2 negative and positive nasal swab samples. Upon light exposure of the patient nasal swab sample mixed with the anti-N antibody, charge transfer (CT) transitions within the altered protein folds are initiated between the charged amino acids side chain moieties and the peptide backbone that play the role of donor and acceptor groups. A Figure of Merit (FOM) was introduced to correlate the relative variations of the samples with and without antibody at two different voltages. Empirically, SARS-CoV-2 in patient nasal swab samples was detected within two minutes, if an extracted FOM threshold of >1 was achieved; otherwise, the sample wasconsidered negative.
Keyphrases
  • sars cov
  • respiratory syndrome coronavirus
  • chronic rhinosinusitis
  • case report
  • amino acid
  • coronavirus disease
  • computed tomography
  • binding protein
  • protein protein
  • magnetic resonance
  • image quality
  • dual energy