| SERS imaging-based aptasensor for ultrasensitive and reproducible detection of influenza virus A | |
Chen, Hao1; Choi, Namhyun1; Moon, Joung-Il1; Dang, Hajun1; Das, Anupam1; Choo, Jaebum1; Park, Sung-Gyu2; Lee, Seunghun2; Kim, Do-Geun2; Chen, Lingxin3
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| 发表期刊 | BIOSENSORS & BIOELECTRONICS
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| ISSN | 0956-5663 |
| 2020-11-01 | |
| 卷号 | 167页码:112496 |
| 关键词 | Surface-enhanced Raman scattering (SERS) Aptasensor SERS imaging sensor Influenza A virus SERS-based assay |
| DOI | 10.1016/j.bios.2020.112496 |
| 英文摘要 | Surface-enhanced Raman scattering (SERS)-based aptasensors display high sensitivity for influenza A/H1N1 virus detection but improved signal reproducibility is required. Therefore, in this study, we fabricated a three-dimensional (3D) nano-popcorn plasmonic substrate using the surface energy difference between a perfluorodecanethiol (PFDT) spacer and the Au layer. This energy difference led to Au nanoparticle self-assembly; neighboring nanoparticles then created multiple hotspots on the substrate. The localized surface plasmon effects at the hot spots dramatically enhanced the incident field. Quantitative evaluation of A/H1N1 virus was achieved using the decrease of Raman peak intensity resulting from the release of Cy3-labeled aptamer DNAs from nano-popcorn substrate surfaces via the interaction between the aptamer DNA and A/H1N1 virus. The use of a Raman imaging technique involving the fast mapping of all pixel points enabled the reproducible quantification of A/H1N1 virus on nano-popcorn substrates. Average ensemble effects obtained by averaging all randomly distributed hot spots mapped on the substrate made it possible to reliably quantify target viruses. The SERS-based imaging aptasensor platform proposed in this work overcomes the issues inherent in conventional approaches (the time-consuming and labor-intensiveness of RT-PCR and low sensitivity and quantitative analysis limits of lateral flow assay kits). Our SERS-based assay for detecting A/H1N1 virus had an estimated limit of detection of 97 PFU mL(-1) (approximately three orders of magnitude more sensitive than that determined by the enzyme-linked immunosorbent assay) and the approximate assay time was estimated to be 20 min. Thus, this approach provides an ultrasensitive, reliable platform for detecting viral pathogens. |
| 资助机构 | government-wide R&D Fund for the research of infectious diseases in Korea [HG18C0062] ; National Research Foundation of KoreaNational Research Foundation of Korea [2019R1A2C3004375, 2017M2A2A6A01019037] ; Ministry of Science, ICT, and Future Planning [POC3390] ; Fundamental Research Program of the Korean Institute of Materials Science [KIMS] [PNK 6800] ; Ministry of Trade, Industry, and Energy [N0002310] |
| 收录类别 | SCI |
| 语种 | 英语 |
| 关键词[WOS] | POLYMERASE-CHAIN-REACTION ; A H1N1 VIRUS ; COLORIMETRIC DETECTION ; SPECTROSCOPY ; ACCURACY ; ARRAYS ; TESTS |
| 研究领域[WOS] | Biophysics ; Biotechnology & Applied Microbiology ; Chemistry ; Electrochemistry ; Science & Technology - Other Topics |
| WOS记录号 | WOS:000569863100006 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/30499 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带环境工程技术研究与发展中心 |
| 作者单位 | 1.Chung Ang Univ, Dept Chem, Seoul 06974, South Korea; 2.Korea Inst Mat Sci KIMS, Adv Nanosurface Dept, Chang Won 51508, South Korea; 3.Chinese Acad Sci, Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Hao,Choi, Namhyun,Moon, Joung-Il,et al. SERS imaging-based aptasensor for ultrasensitive and reproducible detection of influenza virus A[J]. BIOSENSORS & BIOELECTRONICS,2020,167:112496. |
| APA | Chen, Hao.,Choi, Namhyun.,Moon, Joung-Il.,Dang, Hajun.,Das, Anupam.,...&Chen, Lingxin.(2020).SERS imaging-based aptasensor for ultrasensitive and reproducible detection of influenza virus A.BIOSENSORS & BIOELECTRONICS,167,112496. |
| MLA | Chen, Hao,et al."SERS imaging-based aptasensor for ultrasensitive and reproducible detection of influenza virus A".BIOSENSORS & BIOELECTRONICS 167(2020):112496. |
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