期刊
BIOSENSORS & BIOELECTRONICS
卷 68, 期 -, 页码 757-762出版社
ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2015.02.010
关键词
Core-shell; Multi-walled carbon nanotubes; Magnetic microspheres; Alpha fetoprotein; Immunosensor
类别
资金
- National Natural Science Foundation of China [21175057, 21375047, 21377046]
- Science and Technology Development Plan of Shandong Province [2014GSF120004]
- Science and Technology Plan Project of Jinan [201307010]
- Special Foundation for Taishan Scholar Professorship of Shandong Province
- UJN [ts20130937]
An ultrasensitive sandwich-type electrochemical immunosensor for quantitative detection of alpha fetoprotein (AFP) was proposed based on a novel signal amplification strategy in this work. Carbon decorated Fe3O4 magnetic microspheres (Fe3O4@C) with large specific surface area and good adsorption property were used as labels to anchor palladium nanoparticles (Pd NPs) and the secondary antibodies (Ab(2)). Pd NPs were loaded on Fe3O4@C to obtain Fe3O4@C@Pd with core-shell structure by electrostatic attraction, which were further used to immobilize Ab(2) due to the bonding of Pd-NH2. A signal amplification strategy was the noble metal nanoparticles, such as Pd NPs, exhibiting high electrocatalytic activities toward hydrogen peroxide (H2O2) reduction. This signal amplification was novel not only because of the great capacity, but also the ease of magnetic separation from the sample solution based on their magnetic property. Moreover, carboxyl-functionalized multi-walled carbon nanotubes (MWCNTs-COOH) were used for the immobilization of primary antibodies (Ab(1)). Therefore, high sensitivity could be realized by the designed immunosensor based on this novel signal amplification strategy. Under optimal conditions, the immunosensor exhibited a wide linear range of 0.5 pg/mL to 10 ng/mL toward AFP with a detection limit of 0.16 pg/mL (S/N=3). Moreover, it revealed good selectivity, acceptable reproducibility and stability, indicating a potential application in clinical monitoring of tumor biomarkers. (C) 2015 Elsevier B.V. All rights reserved.
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