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A High-Throughput, Multi-Index Isothermal Amplification Platform for Rapid Detection of 19 Types of Common Respiratory Viruses Including SARS-CoV-2.
Xing, Wanli; Liu, Yingying; Wang, Huili; Li, Shanglin; Lin, Yongping; Chen, Lei; Zhao, Yan; Chao, Shuang; Huang, Xiaolan; Ge, Shaolin; Deng, Tao; Zhao, Tian; Li, Baolian; Wang, Hanbo; Wang, Lei; Song, Yunpeng; Jin, Ronghua; He, Jianxing; Zhao, Xiuying; Liu, Peng; Li, Weimin; Cheng, Jing.
  • Xing W; Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
  • Liu Y; National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
  • Wang H; CapitalBio Technology, Beijing 101111, China.
  • Li S; National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
  • Lin Y; CapitalBio Corporation, Beijing 102206, China.
  • Chen L; Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China.
  • Zhao Y; Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
  • Chao S; Department of Laboratory Medicine, First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
  • Huang X; Department of Neurology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Ge S; Clinical Laboratory Center, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China.
  • Deng T; Department of Pediatrics, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China.
  • Zhao T; Experiment Center, Capital Institute of Pediatrics, Beijing 100020, China.
  • Li B; National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
  • Wang H; CapitalBio Corporation, Beijing 102206, China.
  • Wang L; CapitalBio Technology, Beijing 101111, China.
  • Song Y; National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
  • Jin R; CapitalBio Corporation, Beijing 102206, China.
  • He J; National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
  • Zhao X; CapitalBio Corporation, Beijing 102206, China.
  • Liu P; National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
  • Li W; CapitalBio Corporation, Beijing 102206, China.
  • Cheng J; National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
Engineering (Beijing) ; 6(10): 1130-1140, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-743961
ABSTRACT
Fast and accurate diagnosis and the immediate isolation of patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are regarded as the most effective measures to restrain the coronavirus disease 2019 (COVID-19) pandemic. Here, we present a high-throughput, multi-index nucleic acid isothermal amplification analyzer (RTisochip™-W) employing a centrifugal microfluidic chip to detect 19 common respiratory viruses, including SARS-CoV-2, from 16 samples in a single run within 90 min. The limits of detection of all the viruses analyzed by the RTisochip™-W system were equal to or less than 50 copies·µL-1, which is comparable to those of conventional reverse transcription polymerase chain reaction. We also demonstrate that the RTisochip™-W system possesses the advantages of good repeatability, strong robustness, and high specificity. Finally, we analyzed 201 cases of preclinical samples, 14 cases of COVID-19-positive samples, 25 cases of clinically diagnosed samples, and 614 cases of clinical samples from patients or suspected patients with respiratory tract infections using the RTisochip™-W system. The test results matched the referenced results well and reflected the epidemic characteristics of the respiratory infectious diseases. The coincidence rate of the RTisochip™-W with the referenced kits was 98.15% for the detection of SARS-CoV-2. Based on these extensive trials, we believe that the RTisochip™-W system provides a powerful platform for fighting the COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study Language: English Journal: Engineering (Beijing) Year: 2020 Document Type: Article Affiliation country: J.eng.2020.07.015

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study Language: English Journal: Engineering (Beijing) Year: 2020 Document Type: Article Affiliation country: J.eng.2020.07.015