Biomedicines (Sep 2022)

Development of a Fully Automated Desktop Analyzer and Ultrahigh Sensitivity Digital Immunoassay for SARS-CoV-2 Nucleocapsid Antigen Detection

  • Ryotaro Chiba,
  • Kei Miyakawa,
  • Kotaro Aoki,
  • Takamitsu J. Morikawa,
  • Yoshiki Moriizumi,
  • Takuma Degawa,
  • Yoshiyuki Arai,
  • Osamu Segawa,
  • Kengo Tanaka,
  • Hideji Tajima,
  • Susumu Arai,
  • Hisatoshi Yoshinaga,
  • Ryohei Tsukada,
  • Akira Tani,
  • Haruhito Fuji,
  • Akinobu Sato,
  • Yoshikazu Ishii,
  • Kazuhiro Tateda,
  • Akihide Ryo,
  • Toru Yoshimura

DOI
https://doi.org/10.3390/biomedicines10092291
Journal volume & issue
Vol. 10, no. 9
p. 2291

Abstract

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Background: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak has had a significant impact on public health and the global economy. Several diagnostic tools are available for the detection of infectious diseases, with reverse transcription-polymerase chain reaction (RT-PCR) testing specifically recommended for viral RNA detection. However, this diagnostic method is costly, complex, and time-consuming. Although it does not have sufficient sensitivity, antigen detection by an immunoassay is an inexpensive and simpler alternative to RT-PCR. Here, we developed an ultrahigh sensitivity digital immunoassay (d-IA) for detecting SARS-CoV-2 nucleocapsid (N) protein as antigens using a fully automated desktop analyzer based on a digital enzyme-linked immunosorbent assay. Methods: We developed a fully automated d-IA desktop analyzer and measured the viral N protein as an antigen in nasopharyngeal (NP) swabs from patients with coronavirus disease. We studied nasopharyngeal swabs of 159 and 88 patients who were RT-PCR-negative and RT-PCR-positive, respectively. Results: The limit of detection of SARS-CoV-2 d-IA was 0.0043 pg/mL of N protein. The cutoff value was 0.029 pg/mL, with a negative RT-PCR distribution. The sensitivity of RT-PCR-positive specimens was estimated to be 94.3% (83/88). The assay time was 28 min. Conclusions: Our d-IA system, which includes a novel fully automated desktop analyzer, enabled detection of the SARS-CoV-2 N-protein with a comparable sensitivity to RT-PCR within 30 min. Thus, d-IA shows potential for SARS-CoV-2 detection across multiple diagnostic centers including small clinics, hospitals, airport quarantines, and clinical laboratories.

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