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Abstract

Citation: Ann Clin Case Rep. 2024;9(1):2628.DOI: 10.25107/2474-1655.2628

Integrated and Rapid Detection of SARS-CoV-2 and a Variety of Respiratory Viruses

Zhang X1#, Guan Y1#, Ma X1, Chen Y1, Chen Z1, Li S1, Deng Y1, He N1, Hu G2, Chen H1*# and Wu Y3,4#

1Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, China
2Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, China
3State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, China
4Shenzhen Lemniscare Med Technol Co. Ltd., China
#These authors contributed equally to this work

*Correspondance to: Hui Chen 

 PDF  Full Text Research Article | Open Access

Abstract:

Because of the rapid spread of respiratory viruses and the sharp increase in the number of infections, the most efficient way is to detect positive patients as quickly as possible. In this paper, we have developed an all-in-one integrated microsystem for the diagnosis of multiple respiratory viruses. The integrated system is based on magnetic bead method for nucleic acid extraction and adopts isothermal amplification and fluorescence detection system, which can be applied for point-of-care detection of respiratory viruses. The entire detection process from sample collection, nucleic acid extraction, cassette equipment, fluorescence detection and result output can be completed within one hour. From the analysis of the results, the detection limit could reach 100 copies/μL, and there was no non-specific amplification detected by five sets of primers, implying that the integrated detection system had high sensitivity and specificity. The extraction and detection processes were optimized and compared with commercial instruments. The results demonstrated that the device could be applied to the detection of a variety of respiratory pathogens without aerosol contamination in the process of sample amplification.

Keywords:

Respiratory viruses; Point-of-care testing; Integration

Cite the Article:

Zhang X, Guan Y, Ma X, Chen Y, Chen Z, Li S, et al. Integrated and Rapid Detection of SARS-CoV-2 and a Variety of Respiratory Viruses. Ann Clin Case Rep. 2024; 9: 2628.

Journal Basic Info

  • Impact Factor: 5.253*
  • H-Index: 6
  • ISSN: 2474-1655
  • DOI: 10.25107/2474-1655
  • PubMed NLM ID: 101702800

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