期刊
BIOSENSORS & BIOELECTRONICS
卷 79, 期 -, 页码 482-487出版社
ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2015.12.082
关键词
Sandwich-type immunosensor; Alpha fetoprotein; Pd octahedral; CeO2 mesoporous nanoparticles
类别
资金
- National Natural Science Foundation of China [21175057, 21375047, 21377046, 21575050, 21505051]
- Science and Technology Plan Project of Jinan [201307010]
- Science and Technology Development Plan of Shandong Province [2014GSF120004]
- Special Project for Independent Innovation and Achievements Transformation of Shandong Province [2014ZZCX05101]
- Special Foundation for Taishan Scholar Professorship of Shandong Province [ts20130937]
- Raduate Innovation Foundation of University of Jinan, RIFUJN
In the present work, an ultrasensitive sandwich-type electrochemical immunosensor based on a novel signal amplification strategy was designed for quantitative detection of alpha fetoprotein (AFP). Au nanoparticles with biocompatibility were electrodeposited on the surface of glassy carbon electrode (GCE) which can effectively capture and immobilize primary anti-AFP (Ab(1)) to significantly amplify the electrochemical signal. Graphene Oxide and CeO2 mesoporous nanocomposite functionalized by the 3-aminopropyltriethoxysilane supported Pd octahedral nanoparticles (Pd/APTES-M-CeO2-GS) were utilized as labels of detection anti-AFP (Ab(2)). Pd octahedral nanoparticles presented good catalytic activity towards the reduction of H2O2. Due to the large specific surface area and good adsorption properties of APTES-CeO2-GS nanocomposite, large amount of Pd octahedral nanoparticles could be immobilized, which could amplify the electrochemical signal and improve the sensitivity of the immunosensor. Under optimal conditions, the immunosensor exhibited wide linear range from 0.1 pg/mL to 50 ng/mL with a low detection limit of 0.033 pg/mL (S/N=3) for AFP detection. In addition, high sensitivity, excellent selectivity, good reproducibility and stability were obtained for the immunosensor, which has a promising application for quantitative detection of other tumor markers in clinical diagnosis. (C) 2015 Elsevier B.V. All rights reserved.
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