Research progress and application of Raman spectroscopy in virus detection
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摘要: 病毒可以导致人类患有传染性疾病,常规检测病毒的方法步骤繁琐、灵敏性较低、耗时耗材,迫切需要一种新型简便、快速、灵敏性较高的病毒检测方法。近年来,表面增强拉曼光谱技术(surface enhanced Raman spectroscopy, SERS)因其指纹图谱性、高分辨率、无损检测等独特优势,在生物医学领域展现出巨大的应用前景。其中,拉曼光谱在病原微生物快速鉴定及耐药性分析方面有望获得颠覆性的技术革新。本文聚焦于拉曼光谱在病毒检测中的研究进展,从应用拉曼光谱的技术方法入手,重点阐述了基于SERS的技术在寨卡和登革热病毒、流感病毒、M13噬菌体、人类免疫缺陷病毒、禽流感病毒、呼吸道合胞病毒及慢性乙型肝炎病毒等具体实例的应用,并展望了SERS技术在临床检验中的应用前景。本文通过综述SERS检测技术在不同病毒中的应用研究,有望为临床科研工作者研发新型快速、简便、灵敏的病毒检测方法提供新思路,为临床实验室病毒早期检测提供一种新的技术手段。
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关键词:
- 拉曼光谱 /
- 表面增强拉曼光谱技术 /
- 纳米颗粒 /
- 病毒检测
Abstract: 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.-
Key words:
- Raman spectrum /
- Surface enhanced Raman spectroscopy /
- Nanoparticles /
- Virus detection
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