Your browser doesn't support javascript.
Rapid SARS-CoV-2 diagnosis using disposable strips and a metal-oxide-semiconductor field-effect transistor platform.
Chiu, Chan-Wen; Xian, Minghan; Stephany, Jenna L; Xia, Xinyi; Chiang, Chao-Ching; Ren, Fan; Tsai, Cheng-Tse; Shan, Siang-Sin; Liao, Yu-Te; Esquivel-Upshaw, Josephine F; Rananaware, Santosh R; Nguyen, Long T; Macaluso, Nicolas C; Jain, Piyush K; Cash, Melanie N; Mavian, Carla N; Salemi, Marco; Leon, Marino E; Chang, Chin-Wei; Lin, Jenshan; Pearton, Stephen J.
  • Chiu CW; Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611.
  • Xian M; Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611.
  • Stephany JL; Department of Restorative Dental Sciences, University of Florida, Gainesville, Florida 32610.
  • Xia X; Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611.
  • Chiang CC; Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611.
  • Ren F; Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611.
  • Tsai CT; Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
  • Shan SS; Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
  • Liao YT; Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
  • Esquivel-Upshaw JF; Department of Restorative Dental Sciences, University of Florida, Gainesville, Florida 32610.
  • Rananaware SR; Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611.
  • Nguyen LT; Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611.
  • Macaluso NC; Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611.
  • Jain PK; Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611.
  • Cash MN; Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida 32611.
  • Mavian CN; Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida 32611.
  • Salemi M; Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida 32611.
  • Leon ME; Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida 32611.
  • Chang CW; Department of Electrical and Computer Engineering, University of Florida, Gainesville, Florida 32611.
  • Lin J; Department of Electrical and Computer Engineering, University of Florida, Gainesville, Florida 32611.
  • Pearton SJ; Department of Materials Science and Engineering, University of Florida, Gainesville, Florida 32611.
J Vac Sci Technol B Nanotechnol Microelectron ; 40(2): 023204, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-1691449
ABSTRACT
The SARS-CoV-2 pandemic has had a significant impact worldwide. Currently, the most common detection methods for the virus are polymerase chain reaction (PCR) and lateral flow tests. PCR takes more than an hour to obtain the results and lateral flow tests have difficulty with detecting the virus at low concentrations. In this study, 60 clinical human saliva samples, which included 30 positive and 30 negative samples confirmed with RT-PCR, were screened for COVID-19 using disposable glucose biosensor strips and a reusable printed circuit board. The disposable strips were gold plated and functionalized to immobilize antibodies on the gold film. After functionalization, the strips were connected to the gate electrode of a metal-oxide-semiconductor field-effect transistor on the printed circuit board to amplify the test signals. A synchronous double-pulsed bias voltage was applied to the drain of the transistor and strips. The resulting change in drain waveforms was converted to digital readings. The RT-PCR-confirmed saliva samples were tested again using quantitative PCR (RT-qPCR) to determine cycling threshold (Ct) values. Ct values up to 45 refer to the number of amplification cycles needed to detect the presence of the virus. These PCR results were compared with digital readings from the sensor to better evaluate the sensor technology. The results indicate that the samples with a range of Ct values from 17.8 to 35 can be differentiated, which highlights the increased sensitivity of this sensor technology. This research exhibits the potential of this biosensor technology to be further developed into a cost-effective, point-of-care, and portable rapid detection method for SARS-CoV-2.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Experimental Studies / Prognostic study Language: English Journal: J Vac Sci Technol B Nanotechnol Microelectron Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Experimental Studies / Prognostic study Language: English Journal: J Vac Sci Technol B Nanotechnol Microelectron Year: 2022 Document Type: Article