Volume 19 Issue 9
Sep.  2021
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WANG Xiao-jing, ZHANG Hui, LI Lian-you, FU Wei-ling, ZHANG Yang. Research progress and application of Raman spectroscopy in virus detection[J]. Chinese Journal of General Practice, 2021, 19(9): 1549-1552, 1588. doi: 10.16766/j.cnki.issn.1674-4152.002109
Citation: WANG Xiao-jing, ZHANG Hui, LI Lian-you, FU Wei-ling, ZHANG Yang. Research progress and application of Raman spectroscopy in virus detection[J]. Chinese Journal of General Practice, 2021, 19(9): 1549-1552, 1588. doi: 10.16766/j.cnki.issn.1674-4152.002109

Research progress and application of Raman spectroscopy in virus detection

doi: 10.16766/j.cnki.issn.1674-4152.002109
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  • Received Date: 2020-06-21
    Available Online: 2022-02-15
  • Viruses can cause humans to suffer from infectious diseases, conventional methods for detecting viruses are cumbersome, insensitive, and time-consuming. New, simple, rapid, and highly sensitive virus detection methods are urgently needed. In recent years, surface enhanced Raman spectroscopy (SERS) has shown great application prospects in the biomedical field due to its unique advantages such as fingerprinting, high resolution, and non-destructive testing. Among them, Raman spectroscopy is expected to obtain disruptive technological innovations in the rapid identification and drug resistance analysis of pathogenic microorganisms. This paper focuses on the research progress of Raman spectroscopy in virus detection, starting with the technical methods applied in Raman spectroscopy. The application examples of SERS based technology in Zika virus, dengue virus, influenza virus, M13 bacteriophage, human immunodeficiency virus, avian influenza virus, respiratory syncytial virus and hepatitis B virus (HBV) are summarized in detail, and the application prospects of SERS technology in clinical examination are also forecasted. By reviewing the application of SERS detection technology in different viruses, this paper hopes to provide new ideas for clinical researchers to develop new rapid, simple and sensitive virus detection methods, and provide a new technology for early detection of virus in clinical laboratories.

     

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