Literature DB >> 36032199

Rapid SARS-CoV-2 diagnosis using disposable strips and a metal-oxide-semiconductor field-effect transistor platform.

Chan-Wen Chiu1, Minghan Xian1, Jenna L Stephany2, Xinyi Xia1, Chao-Ching Chiang1, Fan Ren1, Cheng-Tse Tsai3, Siang-Sin Shan3, Yu-Te Liao3, Josephine F Esquivel-Upshaw2, Santosh R Rananaware1, Long T Nguyen1, Nicolas C Macaluso1, Piyush K Jain1, Melanie N Cash4, Carla N Mavian4, Marco Salemi4, Marino E Leon4, Chin-Wei Chang5, Jenshan Lin5, Stephen J Pearton6.   

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.
© 2022 Author(s).

Entities:  

Year:  2022        PMID: 36032199      PMCID: PMC8830941          DOI: 10.1116/6.0001615

Source DB:  PubMed          Journal:  J Vac Sci Technol B Nanotechnol Microelectron        ISSN: 2166-2746


  11 in total

1.  An amperometric urea biosensor based on covalently immobilized urease on an electrode made of hyperbranched polyester functionalized gold nanoparticles.

Authors:  Ashutosh Tiwari; Santosh Aryal; Srikanth Pilla; Shaoqin Gong
Journal:  Talanta       Date:  2009-02-26       Impact factor: 6.057

Review 2.  Rapid diagnosis of SARS-CoV-2 using potential point-of-care electrochemical immunosensor: Toward the future prospects.

Authors:  Pushpesh Ranjan; Ayushi Singhal; Shalu Yadav; Neeraj Kumar; S Murali; Sunil K Sanghi; Raju Khan
Journal:  Int Rev Immunol       Date:  2021-01-15       Impact factor: 5.311

3.  A Reconfigurable, Pulse-shaping Potentiometric Readout System for Bio-Sensing Transistors.

Authors:  Shao-Yung Lu; Siang-Sin Shan; Jiancheng Yang; Chin-Wei Chang; Fan Ren; Jenshan Lin; Stephen Pearton; Yu-Te Liao
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2019-07

4.  Fast SARS-CoV-2 virus detection using disposable cartridge strips and a semiconductor-based biosensor platform.

Authors:  Minghan Xian; Hao Luo; Xinyi Xia; Chaker Fares; Patrick H Carey; Chan-Wen Chiu; Fan Ren; Siang-Sin Shan; Yu-Te Liao; Shu-Min Hsu; Josephine F Esquivel-Upshaw; Chin-Wei Chang; Jenshan Lin; Steven C Ghivizzani; Stephen J Pearton
Journal:  J Vac Sci Technol B Nanotechnol Microelectron       Date:  2021-05-18

5.  Rapid electrochemical detection of coronavirus SARS-CoV-2.

Authors:  Thanyarat Chaibun; Jiratchaya Puenpa; Tatchanun Ngamdee; Nimaradee Boonapatcharoen; Pornpat Athamanolap; Anthony Peter O'Mullane; Sompong Vongpunsawad; Yong Poovorawan; Su Yin Lee; Benchaporn Lertanantawong
Journal:  Nat Commun       Date:  2021-02-05       Impact factor: 14.919

Review 6.  Emerging materials for the electrochemical detection of COVID-19.

Authors:  G Balkourani; A Brouzgou; M Archonti; N Papandrianos; S Song; P Tsiakaras
Journal:  J Electroanal Chem (Lausanne)       Date:  2021-04-23       Impact factor: 4.598

7.  Ultrasensitive Detection of Dopamine, IL-6 and SARS-CoV-2 Proteins on Crumpled Graphene FET Biosensor.

Authors:  Michael Taeyoung Hwang; Insu Park; Mohammad Heiranian; Amir Taqieddin; Seungyong You; Vahid Faramarzi; Angela A Pak; Arend M van der Zande; Narayana R Aluru; Rashid Bashir
Journal:  Adv Mater Technol       Date:  2021-08-28

Review 8.  Diagnosing COVID-19: The Disease and Tools for Detection.

Authors:  Buddhisha Udugama; Pranav Kadhiresan; Hannah N Kozlowski; Ayden Malekjahani; Matthew Osborne; Vanessa Y C Li; Hongmin Chen; Samira Mubareka; Jonathan B Gubbay; Warren C W Chan
Journal:  ACS Nano       Date:  2020-03-30       Impact factor: 15.881

9.  Rapid Detection of COVID-19 Causative Virus (SARS-CoV-2) in Human Nasopharyngeal Swab Specimens Using Field-Effect Transistor-Based Biosensor.

Authors:  Giwan Seo; Geonhee Lee; Mi Jeong Kim; Seung-Hwa Baek; Minsuk Choi; Keun Bon Ku; Chang-Seop Lee; Sangmi Jun; Daeui Park; Hong Gi Kim; Seong-Jun Kim; Jeong-O Lee; Bum Tae Kim; Edmond Changkyun Park; Seung Il Kim
Journal:  ACS Nano       Date:  2020-04-20       Impact factor: 15.881

10.  Comparative performance of SARS-CoV-2 lateral flow antigen tests and association with detection of infectious virus in clinical specimens: a single-centre laboratory evaluation study.

Authors:  Suzanne Pickering; Rahul Batra; Blair Merrick; Luke B Snell; Gaia Nebbia; Sam Douthwaite; Fiona Reid; Amita Patel; Mark Tan Kia Ik; Bindi Patel; Themoula Charalampous; Adela Alcolea-Medina; Maria Jose Lista; Penelope R Cliff; Emma Cunningham; Jane Mullen; Katie J Doores; Jonathan D Edgeworth; Michael H Malim; Stuart J D Neil; Rui Pedro Galão
Journal:  Lancet Microbe       Date:  2021-06-30
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.