Evaluation of dry stored disposable sensor strip on rapid SARS-CoV-2 detection platform

Author:

Chiang Chao-Ching1ORCID,Chiu Chan-Wen1ORCID,Ren Fan1ORCID,Tsai Cheng-Tse2,Liao Yu-Te2ORCID,Esquivel-Upshaw Josephine F.3ORCID,Pearton Stephen J.4ORCID

Affiliation:

1. Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611

2. Department of Electronics and Electrical Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan

3. Department of Restorative Dental Sciences, Division of Prosthodontics, University of Florida, Gainesville, Florida 32610

4. Department of Materials Science and Engineering, University of Florida, Gainesville, Florida 32611

Abstract

This study investigated a SARS-CoV-2 virus detection mechanism using dry-stored disposable strips. The accuracy of this sensing platform is as good as polymerase chain reaction (PCR) with a detection time of fewer than 30 s. SARS-CoV-2 antibodies were biofunctionalized on disposable strips similar to glucose detection strips to detect the presence and concentrations of SARS-CoV-2 in saliva samples. Eight 1 ms electric pulses were sent through the sensor strip with a saliva sample in its microfluidic chamber. A circuit board embedded with MOSFET was also employed to amplify the detected signals and convert the signal to digital readings displayed on an LCD screen. The COV-antibody functionalized disposable strips were stored in a dry condition for at least one day before analyzing clinical human saliva samples with known cycling threshold (Ct) values confirmed with conventional PCR tests. Results demonstrate our system is capable of showing qualitative positive or negative results within 30 s and providing quantitative SARS-CoV-2 concentrations in terms of Ct values in 5 min.

Funder

Ministry of Science and Technology, Taiwan

Publisher

American Vacuum Society

Subject

Materials Chemistry,Electrical and Electronic Engineering,Surfaces, Coatings and Films,Process Chemistry and Technology,Instrumentation,Electronic, Optical and Magnetic Materials

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3