Your browser doesn't support javascript.
Rapid self-test of unprocessed viruses of SARS-CoV-2 and its variants in saliva by portable wireless graphene biosensor.
Ban, Deependra Kumar; Bodily, Tyler; Karkisaval, Abhijith G; Dong, Yongliang; Natani, Shreyam; Ramanathan, Anirudh; Ramil, Armando; Srivastava, Sunil; Bandaru, Prab; Glinsky, Gennadi; Lal, Ratnesh.
  • Ban DK; Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093.
  • Bodily T; Department of Bioengineering, University of California, San Diego, CA 92093.
  • Karkisaval AG; Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093.
  • Dong Y; Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093.
  • Natani S; Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093.
  • Ramanathan A; Department of Bioengineering, University of California, San Diego, CA 92093.
  • Ramil A; Department of Bioengineering, University of California, San Diego, CA 92093.
  • Srivastava S; Administration, Ampera Life, Inc., La Jolla, CA 92037.
  • Bandaru P; Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093.
  • Glinsky G; Materials Science, University of California, San Diego, CA 92093.
  • Lal R; Institute of Engineering in Medicine, University of California, San Diego, CA 92093.
Proc Natl Acad Sci U S A ; 119(28): e2206521119, 2022 07 12.
Article in English | MEDLINE | ID: covidwho-1908387
ABSTRACT
We have developed a DNA aptamer-conjugated graphene field-effect transistor (GFET) biosensor platform to detect receptor-binding domain (RBD), nucleocapsid (N), and spike (S) proteins, as well as viral particles of original Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) coronavirus and its variants in saliva samples. The GFET biosensor is a label-free, rapid (≤20 min), ultrasensitive handheld wireless readout device. The limit of detection (LoD) and the limit of quantitation (LoQ) of the sensor are 1.28 and 3.89 plaque-forming units (PFU)/mL for S protein and 1.45 and 4.39 PFU/mL for N protein, respectively. Cognate spike proteins of major variants of concern (N501Y, D614G, Y453F, Omicron-B1.1.529) showed sensor response ≥40 mV from the control (aptamer alone) for fM to nM concentration range. The sensor response was significantly lower for viral particles and cognate proteins of Middle East Respiratory Syndrome (MERS) compared to SARS-CoV-2, indicating the specificity of the diagnostic platform for SARS-CoV-2 vs. MERS viral proteins. During the early phase of the pandemic, the GFET sensor response agreed with RT-PCR data for oral human samples, as determined by the negative percent agreement (NPA) and positive percent agreement (PPA). During the recent Delta/Omicron wave, the GFET sensor also reliably distinguished positive and negative clinical saliva samples. Although the sensitivity is lower during the later pandemic phase, the GFET-defined positivity rate is in statistically close alignment with the epidemiological population-scale data. Thus, the aptamer-based GFET biosensor has a high level of precision in clinically and epidemiologically significant SARS-CoV-2 variant detection. This universal pathogen-sensing platform is amenable for a broad range of public health applications and real-time environmental monitoring.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Wireless Technology / SARS-CoV-2 / COVID-19 / Graphite Type of study: Diagnostic study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Proc Natl Acad Sci U S A Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Wireless Technology / SARS-CoV-2 / COVID-19 / Graphite Type of study: Diagnostic study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Proc Natl Acad Sci U S A Year: 2022 Document Type: Article