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用于超灵敏分析禽流感病毒H7的银纳米颗粒包覆石墨烯电化学传感器。

Silver nanoparticles coated graphene electrochemical sensor for the ultrasensitive analysis of avian influenza virus H7.

作者信息

Huang Jiaoling, Xie Zhixun, Xie Zhiqin, Luo Sisi, Xie Liji, Huang Li, Fan Qing, Zhang Yanfang, Wang Sheng, Zeng Tingting

机构信息

Guangxi Key Laboratory of Animal Epidemic Etiology and Diagnostic, Guangxi Veterinary Research Institute, Nanning, Guangxi Province, China.

Guangxi Key Laboratory of Animal Epidemic Etiology and Diagnostic, Guangxi Veterinary Research Institute, Nanning, Guangxi Province, China.

出版信息

Anal Chim Acta. 2016 Mar 24;913:121-7. doi: 10.1016/j.aca.2016.01.050. Epub 2016 Feb 1.

DOI:10.1016/j.aca.2016.01.050
PMID:26944996
Abstract

A new, highly sensitive electrochemical immunosensor with a sandwich-type immunoassay format was designed to quantify avian influenza virus H7 (AIV H7) by using silver nanoparticle-graphene (AgNPs-G) as trace labels in clinical immunoassays. The device consists of a gold electrode coated with gold nanoparticle-graphene nanocomposites (AuNPs-G), the gold nanoparticle surface of which can be further modified with H7-monoclonal antibodies (MAbs). The immunoassay was performed with H7-polyclonal antibodies (PAbs) that were attached to the AgNPs-G surface (PAb-AgNPs-G). This method of using PAb-AgNPs-G as detection antibodies shows high signal amplification and exhibits a dynamic working range of 1.6 × 10(-3)∼16 ng/mL, with a low detection limit of 1.6 pg/mL at a signal-to-noise ratio of 3σ. In summary, we showed that this novel immunosensor is highly specific and sensitive to AIV H7, and the established assay could potentially be applied to rapidly detect other pathogenic microorganisms.

摘要

设计了一种新型的、具有夹心型免疫分析形式的高灵敏度电化学免疫传感器,用于在临床免疫分析中使用银纳米颗粒-石墨烯(AgNPs-G)作为痕量标记物来定量禽流感病毒H7(AIV H7)。该装置由涂有金纳米颗粒-石墨烯纳米复合材料(AuNPs-G)的金电极组成,其金纳米颗粒表面可用H7单克隆抗体(MAbs)进一步修饰。免疫分析使用附着在AgNPs-G表面的H7多克隆抗体(PAbs)(PAb-AgNPs-G)进行。这种使用PAb-AgNPs-G作为检测抗体的方法显示出高信号放大,动态工作范围为1.6×10(-3)∼16 ng/mL,在信噪比为3σ时检测限低至1.6 pg/mL。总之,我们表明这种新型免疫传感器对AIV H7具有高度特异性和敏感性,所建立的分析方法有可能应用于快速检测其他致病微生物。

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