2019新型冠状病毒的核酸检测

张永卓, 王晶, 傅博强, 黄翔, 董莲华, 牛春艳, 杨佳怡

计量学报 ›› 2020, Vol. 41 ›› Issue (4) : 393-398.

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计量学报 ›› 2020, Vol. 41 ›› Issue (4) : 393-398. DOI: 10.3969/j.issn.1000-1158.2020.04.001
电离辐射、标准物质与生物计量

2019新型冠状病毒的核酸检测

  • 张永卓, 王晶, 傅博强, 黄翔, 董莲华, 牛春艳, 杨佳怡
作者信息 +

Nucleic Acid Detection of the SARS-CoV-2

  • ZHANG Yong-zhuo, WANG Jing, FU Bo-qiang, HUANG Xiang, DONG Lian-hua, NIU Chun-yan, YANG Jia-yi
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摘要

2019 冠状病毒( COVID-19)疫情已成为国际关注的突发公共卫生事件。为应对突发病毒疫情事件,加快病毒检测并提高检测准确性变得非常重要。中华人民共和国国家卫生健康委员会《新型冠状病毒肺炎诊疗方案》规定了核酸检测和基因测序作为确诊病例的方法,检测结果是对潜伏期人群、疑似病例人群和隔离期人群的新型冠状病毒(2019-nCoV/SARS-CoV-2)进行确诊的重要依据。对实时荧光RT-PCR检测、数字PCR检测及基因测序方法进行综述,并对后续监控和生物安全测量(生物计量)标准体系的建立进行展望。

Abstract

The ongoing global Corona Virus Disease (COVID-19) outbreak is a public health emergency of international concern. It is very important to speed up the diagnosis and confirmation detection of suspected cases and quickly distinguish the disease of COVID-19 from other diseases. The novel coronavirus pneumonia diagnosis and treatment plan issued by National Health Committee of the People’s Republic of China has stipulated the nucleic acid detection of the 2019-Novel Coronavirus(2019-nCoV/SARS-CoV-2). The detection methods of nucleic acid PCR and sequencing, including real time quantitative Polymerase Chain Reaction(PCR), digital PCR detection and gene sequencing method were described to virus nucleic acid detection. A long time monitoring and biometrology standard system related to biosafety were prospected.

关键词

计量学 / 新型冠状病毒 / 核酸检测 / 实时荧光逆转录-聚合酶链反应 / 数字聚合酶链反应 / 基因测序

Key words

metrology / 2019-nCoV/SARS-CoV-2 / nucleic acid detection / RT-PCR / dPCR / gene sequencing

引用本文

导出引用
张永卓, 王晶, 傅博强, 黄翔, 董莲华, 牛春艳, 杨佳怡. 2019新型冠状病毒的核酸检测[J]. 计量学报. 2020, 41(4): 393-398 https://doi.org/10.3969/j.issn.1000-1158.2020.04.001
ZHANG Yong-zhuo, WANG Jing, FU Bo-qiang, HUANG Xiang, DONG Lian-hua, NIU Chun-yan, YANG Jia-yi. Nucleic Acid Detection of the SARS-CoV-2[J]. Acta Metrologica Sinica. 2020, 41(4): 393-398 https://doi.org/10.3969/j.issn.1000-1158.2020.04.001
中图分类号: TB99   

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基金

国家重点研发计划项目(项目编号: 2018YFC1200500, 课题编号: 2018YFC1200501)

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