CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China; Savaid Medical School, University of Chinese Academy of Sciences, Huairou District, Beijing 101408, China.
State Key Laboratory of Biochemical Engineering, PLA Key Laboratory of Biopharmaceutical Production & Formulation Engineering, Institute of Process Engineering, Chinese Academy of Sciences (CAS), Zhongguancun, Beijing 100190, China.
Biosens Bioelectron. 2017 May 15;91:46-52. doi: 10.1016/j.bios.2016.12.037. Epub 2016 Dec 14.
Accurate diagnosis of influenza viruses is difficult and generally requires a complex process because of viral diversity and rapid mutability. In this study, we report a simple and rapid strategy for the detection and differentiation of influenza viruses using glycan-functionalized gold nanoparticles (gGNPs). This method is based on the aggregation of gGNP probes on the viral surface, which is mediated by the specific binding of the virus to the glycans. Using a set of gGNPs bearing different glycan structures, fourteen influenza virus strains, including the major subtypes currently circulating in human and avian populations, were readily differentiated from each other and from a human respiratory syncytial virus in a single-step colorimetric procedure. The results presented here demonstrate the potential of this gGNP-based system in the development of convenient and portable sensors for the clinical diagnosis and surveillance of influenza viruses.
流感病毒的准确诊断较为困难，通常需要一个复杂的过程，这是因为病毒具有多样性且快速突变。在本研究中，我们报告了一种使用糖基化金纳米粒子（gGNP）检测和区分流感病毒的简单、快速的策略。该方法基于 gGNP 探针在病毒表面的聚集，这是由病毒与糖的特异性结合介导的。使用一组带有不同糖基结构的 gGNP，我们能够在一步比色法中轻松区分 14 株流感病毒株，包括目前在人和禽类中流行的主要亚型，以及人类呼吸道合胞病毒。本研究结果表明，基于 gGNP 的系统具有开发便捷式、便携式流感病毒传感器的潜力，可用于临床诊断和流感病毒监测。
