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Ultrasensitive electrochemical immunosensor for quantitative detection of HBeAg using [email protected]/MoS2@MWCNTs nanocomposite as enzyme-mimetic labels
Biosensors and Bioelectronics ( IF 12.6 ) Pub Date : 2017-11-09 , DOI: 10.1016/j.bios.2017.11.032
Zengqiang Gao , Yueyun Li , Xiaobo Zhang , Jinhui Feng , Ling Kong , Ping Wang , Zhiwei Chen , Yunhui Dong , Qin Wei

A sensitive sandwich-type electrochemical immunosensor for the detection of hepatitis B e antigen (HBeAg) was successfully developed based on the [email protected] nanoparticles ([email protected] NPs) loaded by molybdenum disulfide functionalized multiwalled carbon nanotubes ([email protected]/MoS2@MWCNTs). The resultant nanocomposites not only possessed high specific surface area and good biocompatibility, but also exhibited excellent electro-catalytical property. Au NPs functionalized porous graphene oxide ([email protected]) were used as sensing platforms and primary antibodies carriers, which can accelerate the electron transfer and improve the load capacity of primary antibodies (Ab1), improving the sensitivity of the immunosensor. Under optimal conditions, the designed immunosensor could detect target HBeAg concentration in the range from 0.1pg/mL to 500 pg/mL, with a low detection limit of 26 fg/mL (S/N = 3) for HBeAg. Additionally, the designed immunosensor showed excellent specificity, good reproducibility and acceptable stability. The satisfactory results in analysis of human serum samples indicated that it had potential application in clinical monitoring of tumor markers.



中文翻译:

超灵敏的电化学免疫传感器,使用[电子邮件保护] / MoS 2 @MWCNTs纳米复合材料作为酶模拟标记物定量检测HBeAg

基于由二硫化钼官能化的多壁碳纳米管([电子邮件保护] /)负载的[电子邮件保护]纳米颗粒([电子邮件保护] NPs),成功开发了用于检测乙型肝炎e抗原(HBeAg)的灵敏夹心型电化学免疫传感器。 MoS 2 @MWCNTs)。所得的纳米复合材料不仅具有高的比表面积和良好的生物相容性,而且还表现出优异的电催化性能。Au NPs功能化的多孔氧化石墨烯([受电子邮件保护])用作传感平台和一抗载体,可加速电子转移并提高一抗的负载能力(Ab 1),提高了免疫传感器的灵敏度。在最佳条件下,设计的免疫传感器可以检测到目标HBeAg浓度,范围从0.1pg / mL到500 pg / mL,HBeAg的最低检测限为26 fg / mL(S / N = 3)。另外,设计的免疫传感器显示出优异的特异性,良好的可重复性和可接受的稳定性。对人体血清样品进行分析的令人满意的结果表明,它在肿瘤标志物的临床监测中具有潜在的应用前景。

更新日期:2017-11-09
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