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On-Site Detection of SARS-CoV-2 Antigen by Deep Learning-Based Surface-Enhanced Raman Spectroscopy and Its Biochemical Foundations.
Huang, Jinglin; Wen, Jiaxing; Zhou, Minjie; Ni, Shuang; Le, Wei; Chen, Guo; Wei, Lai; Zeng, Yong; Qi, Daojian; Pan, Ming; Xu, Jianan; Wu, Yan; Li, Zeyu; Feng, Yuliang; Zhao, Zongqing; He, Zhibing; Li, Bo; Zhao, Songnan; Zhang, Baohan; Xue, Peili; He, Shusen; Fang, Kun; Zhao, Yuanyu; Du, Kai.
  • Huang J; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • Wen J; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • Zhou M; Department of Engineering Physics, Tsinghua University, 100084 Beijing, China.
  • Ni S; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • Le W; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • Chen G; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • Wei L; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • Zeng Y; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • Qi D; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • Pan M; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • Xu J; Sichuan Provincial Center for Disease Control and Prevention, 610041 Chengdu, China.
  • Wu Y; Sichuan Provincial Center for Disease Control and Prevention, 610041 Chengdu, China.
  • Li Z; Sichuan Science City Hospital, 621000 Mianyang, China.
  • Feng Y; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • Zhao Z; Sichuan Provincial Center for Disease Control and Prevention, 610041 Chengdu, China.
  • He Z; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • Li B; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • Zhao S; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • Zhang B; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • Xue P; Laser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
  • He S; Sichuan Science City Hospital, 621000 Mianyang, China.
  • Fang K; Sichuan Provincial Center for Disease Control and Prevention, 610041 Chengdu, China.
  • Zhao Y; Sichuan Science City Hospital, 621000 Mianyang, China.
  • Du K; Sichuan Science City Hospital, 621000 Mianyang, China.
Anal Chem ; 93(26): 9174-9182, 2021 07 06.
Article in English | MEDLINE | ID: covidwho-1279803
ABSTRACT
A rapid, on-site, and accurate SARS-CoV-2 detection method is crucial for the prevention and control of the COVID-19 epidemic. However, such an ideal screening technology has not yet been developed for the diagnosis of SARS-CoV-2. Here, we have developed a deep learning-based surface-enhanced Raman spectroscopy technique for the sensitive, rapid, and on-site detection of the SARS-CoV-2 antigen in the throat swabs or sputum from 30 confirmed COVID-19 patients. A Raman database based on the spike protein of SARS-CoV-2 was established from experiments and theoretical calculations. The corresponding biochemical foundation for this method is also discussed. The deep learning model could predict the SARS-CoV-2 antigen with an identification accuracy of 87.7%. These results suggested that this method has great potential for the diagnosis, monitoring, and control of SARS-CoV-2 worldwide.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Deep Learning / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Anal Chem Year: 2021 Document Type: Article Affiliation country: Acs.analchem.1c01061

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Deep Learning / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Anal Chem Year: 2021 Document Type: Article Affiliation country: Acs.analchem.1c01061