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基于金纳米颗粒-石墨烯-二氧化硅生物界面的超灵敏白细胞介素-6电化学免疫传感器。

Ultrasensitive IL-6 electrochemical immunosensor based on Au nanoparticles-graphene-silica biointerface.

作者信息

Wang Guangfeng, He Xiuping, Chen Ling, Zhu Yanhong, Zhang Xiaojun

机构信息

College of Chemistry and Materials Science, Key Laboratory for Functional Molecular Solids of the Education Ministry of China, Anhui Key Laboratory of Chem-Biosensing, Center for Nano Science and Technology, Anhui Normal University, Wuhu 241000, PR China; Anhui Key Laboratory of Controllable Chemistry Reaction & Material Chemical Engineering, HeFei University of Technology, Hefei 230009, PR China.

College of Chemistry and Materials Science, Key Laboratory for Functional Molecular Solids of the Education Ministry of China, Anhui Key Laboratory of Chem-Biosensing, Center for Nano Science and Technology, Anhui Normal University, Wuhu 241000, PR China.

出版信息

Colloids Surf B Biointerfaces. 2014 Apr 1;116:714-9. doi: 10.1016/j.colsurfb.2013.11.015. Epub 2013 Nov 20.

DOI:10.1016/j.colsurfb.2013.11.015
PMID:24370115
Abstract

An Interleukin-6 (IL-6) electrochemical immunosensor was fabricated based on the Au nanoparticles (AuNP)-graphene-silica sol-gel as immobilization biointerface and AuNP-polydopamine (PDA)@carbon nanotubes (CNT) as the label of HRP-bound antibodies. The AuNP-graphene-silica sol-gel film was prepared in situ and modified on the ITO electrode, providing a stable network for the immobilization of antibody and exhibiting a dynamic working range of 1-40 pg/mL with a low detection limit of 0.3 pg/mL IL-6 (at 3s). The results of serum samples with the sensor received an acceptable agreement with the ELISA method. Importantly, this method provided a promising ultrasensitive assay strategy for clinical applications.

摘要

基于金纳米颗粒(AuNP)-石墨烯-二氧化硅溶胶-凝胶作为固定生物界面以及AuNP-聚多巴胺(PDA)@碳纳米管(CNT)作为辣根过氧化物酶(HRP)结合抗体的标记物,制备了一种白细胞介素-6(IL-6)电化学免疫传感器。原位制备AuNP-石墨烯-二氧化硅溶胶-凝胶膜并修饰在ITO电极上,为抗体固定提供稳定网络,且展现出1-40 pg/mL的动态工作范围,IL-6的检测下限低至0.3 pg/mL(3s时)。该传感器对血清样本的检测结果与酶联免疫吸附测定(ELISA)方法具有可接受的一致性。重要的是,该方法为临床应用提供了一种有前景的超灵敏检测策略。

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