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Recent advances in detection technologies for COVID-19.
Han, Tingting; Cong, Hailin; Shen, Youqing; Yu, Bing.
  • Han T; Institute of Biomedical Materials and Engineering, College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Qingdao University, Qingdao, 266071, China.
  • Cong H; Institute of Biomedical Materials and Engineering, College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Qingdao University, Qingdao, 266071, China; State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, Qingdao, 266071, China.
  • Shen Y; Institute of Biomedical Materials and Engineering, College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Qingdao University, Qingdao, 266071, China.
  • Yu B; Institute of Biomedical Materials and Engineering, College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Qingdao University, Qingdao, 266071, China; State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, Qingdao, 266071, China. Electronic addr
Talanta ; 233: 122609, 2021 Oct 01.
Article in English | MEDLINE | ID: covidwho-1267932
ABSTRACT
Corona Virus Disease 2019 (COVID-19) is a highly infectious respiratory illness that was caused by the SARS-CoV-2. It spread around the world in just a few months and became a worldwide pandemic. Quick and accurate diagnosis of infected patients is very important for controlling transmission. In addition to the commonly used Real-time reverse-transcription polymerase chain reaction (RT-PCR) detection techniques, other diagnostic techniques are also emerging endlessly. This article reviews the current diagnostic methods for COVID-19 and discusses their advantages and disadvantages. It provides an important reference for the diagnosis of COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: COVID-19 Subject: COVID-19 Type of study: Diagnostic study Language: English Journal: Talanta Year: 2021

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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: COVID-19 Subject: COVID-19 Type of study: Diagnostic study Language: English Journal: Talanta Year: 2021
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