A 3D-impedimetric immunosensor based on foam Ni for detection of sulfate-reducing bacteria
文献类型：期刊论文
| 作者 | Wan, Yi1,2; Zhang, Dun1; Wang, Yi1 ; Hou, Baorong1
|
| 刊名 | ELECTROCHEMISTRY COMMUNICATIONS
 |
| 出版日期 | 2010-02-01 |
| 卷号 | 12期号:2页码:288-291 |
| 关键词 | 3D-immunosensor Sulfate-reducing bacteria Foam Ni Electrochemical impedance spectroscopy |
| 英文摘要 | A 3D-immunosensor based on simple and efficient trapping platform (foam Ni) combining with adsorption of gold nanoparticles and specific recognition of biological/chemical molecular has been reported for detection of sulfate-reducing bacteria (SRB) using electrochemical impedance spectroscopy (EIS). The impedance spectra were also used to characterize the successful construct and stepwise modification of the impedimetric immunosensors. This results show that a linear relationship between electron-transfer resistance (R(ct)) values and the logarithm of the SRB concentrations was obtained for the SRB concentration range of 2.1 x 10(1)-2.1 x 10(7) cfu/ml. Additionally, the fabricated immunosensor shows a high selectivity against other bacteria. (C) 2010 Elsevier B.V. All rights reserved. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000274878400030 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/32869]  |
| 专题 | 海洋研究所_海洋腐蚀与防护研究发展中心 |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Corros Sci, Inst Oceanol, Qingdao 266071, Shandong, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wan, Yi,Zhang, Dun,Wang, Yi,et al. A 3D-impedimetric immunosensor based on foam Ni for detection of sulfate-reducing bacteria[J]. ELECTROCHEMISTRY COMMUNICATIONS,2010,12(2):288-291. |
| APA | Wan, Yi,Zhang, Dun,Wang, Yi,&Hou, Baorong.(2010).A 3D-impedimetric immunosensor based on foam Ni for detection of sulfate-reducing bacteria.ELECTROCHEMISTRY COMMUNICATIONS,12(2),288-291. |
| MLA | Wan, Yi,et al."A 3D-impedimetric immunosensor based on foam Ni for detection of sulfate-reducing bacteria".ELECTROCHEMISTRY COMMUNICATIONS 12.2(2010):288-291. |
入库方式： OAI收割
来源：海洋研究所
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