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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Lv, Xun Li, Xuebing Jiang, Jingwen Liang, Jingnan Cao, Hongzhi Du, Yuguang Jiang, Xingyu Wu, Peixing Liu, Wenjun Bi, Yuhai Gao, George F. Wei, Jinhua Liu, Ruichen Cong, Haolong Zhang, Zhenxing Zheng, Longtang Wang, Pengfei Chen, Wenwen |
| Description | Country affiliation: China Author Affiliation: Zheng L ( CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China); Wei J ( 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.); Lv X ( CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China.); Bi Y ( CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China); Wu P ( Lanzhou Institute of Animal Science and Veterinary Pharmaceutics, Chinese Academy of Agricultural Science, Lanzhou 730050, China.); Zhang Z ( CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China); Wang P ( CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China); Liu R ( CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China.); Jiang J ( CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China); Cong H ( CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China.); Liang J ( Core Facility, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China.); Chen W ( CAS Key Lab for Biological Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology, Zhongguancun, Beijing 100190, China.); Cao H ( National Glycoengineering Research Center, School of Pharmaceutical Science, Shandong University, Jinan 250012, China.); Liu W ( CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China); Gao GF ( CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China); Du Y ( 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.); Jiang X ( CAS Key Lab for Biological Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology, Zhongguancun, Beijing 100190, China.); Li X ( CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Chaoyang District, Beijing 100101, China) |
| Abstract | 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. |
| ISSN | 09565663 |
| Journal | Biosensors and Bioelectronics |
| Volume Number | 91 |
| e-ISSN | 18734235 |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2017-05-15 |
| Publisher Place | Great Britain (UK) |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Biotechnology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Nanoscience and Nanotechnology Medicine Biophysics Biomedical Engineering Biotechnology Electrochemistry |
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