Fast and highly sensitive screening of PCR products of severe acute respiratory syndrome coronavirus 2 by voltage‐programmed capillary gel electrophoretic separation

Author:

An Changuk1ORCID,Park Heesun2ORCID,Kim Su Kang2ORCID,Kang Seong Ho13ORCID

Affiliation:

1. Department of Chemistry, Graduate School Kyung Hee University Yongin Republic of Korea

2. Department of Biomedical Laboratory Science Catholic Kwandong University Gangneung Republic of Korea

3. Department of Applied Chemistry and Institute of Natural Sciences Kyung Hee University Yongin Republic of Korea

Abstract

AbstractFast and highly sensitive detection has become critical to prevent the spread of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). However, fast analysis tends to reduce the sensitivity and accuracy of such method. This study is to investigate a fast and highly sensitive screening method for detecting polymerase chain reaction (PCR) products of SARS‐CoV‐2 through voltage‐programmed capillary gel electrophoretic separation. By separating and detecting the PCR products of RNA‐dependent RNA polymerase (RdRp) and spike (S) genes, we have diagnosed coronavirus disease 2019 (COVID‐19) cases within 4 min using such method with high reliability and accuracy, indicating at least a 7.5‐fold faster than previous COVID‐19 diagnostic methods. The detection limits of RdRp and S genes fragments were 1.34–3.46 pM. The developed method can be used to analyze PCR products with specific DNA sizes as well as detect SARS‐CoV‐2 mutations without losing resolution. Furthermore, it can also be used for the fast analysis of DNA molecules related with various infectious diseases.

Publisher

Wiley

Subject

General Chemistry

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